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International Business Intelligence and analytics conference in the lovely city of Budapest, Hungary
budapestbiforum.com
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Tuesday, October 13
 

08:00

Registration / Regisztráció
Tuesday October 13, 2015 08:00 - 09:00
Hotel

09:00

Gyors sikerek adatbányászati módszerekkel workshop 1. rész (HUN)

Célok

Az egész napos  szeminárium gyakorlatilag egy adatbányászati gyorstalpaló. Az adatok mennyisége és minősége számos elemzési lehetőséget rejt a cégek számára, azonban ezeket csak ritkán aknázzák ki. Pedig az adatbányászati elemzések régóta nem számítanak elérhetlennek. A különböző Open Source megoldások (pl. R, RapidMiner) segítségével viszonylag rövid időn belül lehet látványos eredményeket elérni.

A szeminárium célja, hogy néhány tipikus adatbányászati alkalmazást mutassunk be különböző platformokon. Ennek részeként bemutatásra kerül, hogy

  1. a Watson segítségével hogyan tudunk gyorsan összefüggéseket feltárni,
  2. illetve hogy a RapidMiner segítségével hogyan lehet predíktív modelleket készíteni.


Tematika

A következő témákat érintjük

  • Milyen adatokat kérjünk az IT-tól? Az adatbányászat speciális adatbázist igényel. Ezt kérjük profiktól, mi csak az elemzésre fókuszáljunk!
  • Hogyan ellnőrizzük az adatokat? Alapelv: ha más válogat le nekünk adatokat, akkor az biztosan tartalmaz hibákat. Fontos tudni, hogyan tudjuk ezeket minél előbb észrevenni.
  • Hogyan lehet 1 perc alatt adatbányászati modellt építeni? Bármilyen meglepő, de ha jók az adataink (és persze nem túl nagyok!), akkor nagyon gyorsan el lehet készíteni a modelleket. Néhány gyakorlati példán keresztül bemutatjuk a gyors modellezés lépéseit.


Kinek szól?

Gyakorlatilag mindenkinek, akiben ott motoszkál egy kis elemzői véna.

Előfeltétel: Alapvető informatikai és Microsoft Excel ismeretek valamint saját laptop az önálló gyakorláshoz.


 


Speakers
avatar for Huczman Zsuzsanna

Huczman Zsuzsanna

BI Analyst
A Budapesti Műszaki és Gazdaságtudományi Egyetemen végeztem 2009-ben műszaki informatikusként. Az egyetem utolsó éveiben az adatbányászati szakirányt választottam, és hallgatóként már több céges projektben vettem részt. A diploma megszerzése előtt kezdtem adatbányászati... Read More →


Tuesday October 13, 2015 09:00 - 12:00
workshop room 4.

09:00

Innováció a BI-ban workshop 1. rész (HUN)

Innováció a BI-ban workshop

Az egész napos workshop az üzleti intelligencia aktuális trendjeiről, eszközökről és megoldásokról ad körképet, és bemutatja a BI piac meghatáozóró szereplőinek stratégiáját és szoftverkínálatát.


Délelőtt

  • BI Trendek

    • Adatvizualizáció és adatfelderítés

    • Storytelling

    • Önkiszolgáló üzleti intelligencia

    • Memóriaalapú BI

    • Nyílt forráskódú BI

    • Mobil BI

    • Cloud BI megoldások

    • Big Data analitika és Data Science

  • Vállalati BI alkalmazási területei

    • standard riportok

    • Ad-hoc elemzések

    • Interaktív dashboardk

    • Riasztások

  • Adatalapú stratégiák

    • Adatalapú termékfejlesztés

    • Adatalapú szolgáltatások

    • Adat mint termék

  • Amit a nagyvilág gondol

    • A 2014-es BI Trek és BI Survey felmérésekről

    • BI eszközök vásárlása

    • Implementáció

    • Használati kérdések

 

Részvételi feltételek:  Általános informatikai ismeretek

 



Speakers
avatar for Bence Arató

Bence Arató

Managing Director, BI Consulting
Managing Director of BI Consulting Hungary. He has been in the BI industry since 1995 as an analyst, architect and consultant. He advises companies on general BI strategy, project and architecture planning, and vendor and tool selection. Also provides QA and on-the-job mentoring services. He leads the research activities of the yearly run BI-TREK and DW-TREK surveys collecting information and user feedback about the local BI&DW. He also teaches... Read More →


Tuesday October 13, 2015 09:00 - 12:00
workshop room 1.

09:00

Kezdő Python és Pydata alapozó workshop 1. rész (HUN)
A Python az utóbbi évek egyik meghatározó adatelemzési eszköze. Rugalmasságának és sokszínű eszközkészletének hála, nagy népszerűségnek örvend data scientist körökben. Az egész napos workshop bevezetőként szolgál a Python programozási nyelv és az adatok kezeléséhez illetve elemzéséhez használható eszközeinek megismeréséhez.

Megismerkedünk a Python alap funkcióival, amelyek elősegítik, hogy hatékonyan használhassuk adatvezérelt folyamatokban. Ezt kiegészítendő, betekintünk a Python által nyújtott, kifejezetten adatfeldolgozásra és -elemzésre szolgáló csomagok funkcionalitásába is.

Előfeltétel: Hasznos lehet bármilyen alapszintű programozási ismeret, de nem előfeltétel. A workshop nagy része követhető lesz lépésenként, de az érthetőségen nem ront, ha valaki nem hoz saját gépet, csak figyel. Amennyiben a workshop anyagát aktívan követni szeretnék, megtehetik egy közös távoli szerveren, ahol dolgozunk majd. Ez kiváltható a python csomagok telepítésével is.

Speakers
avatar for Kazi Sándor

Kazi Sándor

Data Scientist, Dmlab
Sándor Kazi is both a data scientist at Dmlab ltd and a lecturer at Budapest University of Technology and Economics. He graduated from there in 2012 with a strong mathematical background and an interest in data-related technologies. As a data scientist he prefers to work with Python but still tends to use graphical tools like Rapidminer mostly for teaching data science. He considers himself a Hadoop and Spark enthusiast with some years... Read More →


Tuesday October 13, 2015 09:00 - 12:00
workshop room 2.

09:00

R bevezető workshop 1. rész (HUN)

Az R statisztikai programnyelv a "data science" egyik legnépszerűbb és legerőteljesebb eszköze. Az egész napos kurzuson az R alapvető struktúrájának és objektumainak megismertetését követően - egy-egy rövid esettanulmány gyakorlatorientált feldolgozásán keresztül - az adatelemzés és -vizualizáció valamennyi lényegi lépését érintjük.

Tematika:
1) Az R mint statisztikai szoftverkörnyezet bemutatása
- GNU R, CRAN
- R és RStudio telepítése

2) R alapok
- alapvető objektumok, függvények, ábrázolási lehetőségek
- hogyan segítsünk magunkon

3) Az adatelemzés lépései esettanulmányokon keresztül
- adatok beolvasása külső forrásból
- adatfeldolgozás és -tisztítás
- exploratív ábrázolás
- modellezés
- riport készítése

Előfeltétel: Felhasználói szintű számítógépes ismeretek. Önálló gyakorláshoz saját laptop ajánlott. Legyen a gépeken R (https://cran.r-project.org/), RStudio (https://www.rstudio.com/) és ha Windows-os gépekről van szó, Rtools (https://cran.r-project.org/bin/windows/Rtools/). Az egyes R-csomagokat már rendszergazdai jogosultság nélkül, a képzésen tudják majd telepíteni.



Speakers
avatar for Dr. Tóth Dénes

Dr. Tóth Dénes

ügyvezető, Kogentum Kft.
Dr. Tóth Dénes a az MTA Agyi Képalkotó Központjának tudományos munkatársa. A Budapesti Közgazdaságtudományi és Államigazgatási (a mai Corvinus) Egyetemen diplomázott 2003-ban közgazdászként, majd két évvel később az ELTE Pedagógiai és Pszichológiai Karán... Read More →


Tuesday October 13, 2015 09:00 - 12:00
workshop room 3.

12:00

Lunch / Ebéd
Tuesday October 13, 2015 12:00 - 13:00
Hotel

13:00

Shiny tutorial: quick web analytics with R

The tools from the R language have recently been expanded to allow statisticians and researchers to deploy small web apps. During this workshop I'll quickly demonstrate Shiny (a tool to make your analysis into an interactive dashboard) and plumber (a tool to make your analysis available through a web API). It helps if you have a little bit of web experience but it is not required. It is expected that you are familiar with basic analysis in R. 

Requirements: be able to write an analysis in R, I will assume prior (but modest) experience, and have the most recent version of Rstudio installed. (own computer) 


Speakers
avatar for Vincent Warmerdam

Vincent Warmerdam

Data Scientist, GoDataDriven
Vincent is a data scientist and developer at GoDataDriven. Prior to that he worked as an independent data scientists while teaching statistics and calculus. The world will be a better place if people use data effectively which is why he gives free lectures/sessions to people who want to get started with open source data analysis in Amsterdam. He is fluent in python, R and javascript and even dabbles with scala, julia and C# from time to... Read More →


Tuesday October 13, 2015 13:00 - 16:00
workshop room 5.

13:00

Gyors sikerek adatbányászati módszerekkel workshop 2. rész (HUN)

Célok

Az egész napos szeminárium gyakorlatilag egy adatbányászati gyors talpaló. Az adatok mennyisége és minősége számos elemzési lehetőséget rejt a cégek számára, azonban ezeket csak ritkán aknázzák ki. Pedig az adatbányászati elemzések régóta nem számítanak elérhetlennek. A különböző Open Source megoldások (pl. R, RapidMiner) segítségével viszonylag rövid időn belül lehet látványos eredményeket elérni.

A szeminárium célja, hogy néhány tipikus adatbányászati alkalmazást mutassunk be különböző platformokon. Ennek részeként bemutatásra kerül, hogy

  1. a Watson segítségével hogyan tudunk gyorsan összefüggéseket feltárni,
  2. illetve hogy a RapidMiner segítségével hogyan lehet predíktív modelleket készíteni.


Tematika

A következő témákat érintjük

  • Milyen adatokat kérjünk az IT-tól? Az adatbányászat speciális adatbázist igényel. Ezt kérjük profiktól, mi csak az elemzésre fókuszáljunk!
  • Hogyan ellnőrizzük az adatokat? Alapelv: ha más válogat le nekünk adatokat, akkor az biztosan tartalmaz hibákat. Fontos tudni, hogyan tudjuk ezeket minél előbb észrevenni.
  • Hogyan lehet 1 perc alatt adatbányászati modellt építeni? Bármilyen meglepő, de ha jók az adataink (és persze nem túl nagyok!), akkor nagyon gyorsan el lehet készíteni a modelleket. Néhány gyakorlati példán keresztül bemutatjuk a gyors modellezés lépéseit.


Kinek szól?

Gyakorlatilag mindenkinek, akiben ott motoszkál egy kis elemzői véna.

Előfeltétel: Alapvető informatikai és Microsoft Excel ismeretek valamint saját laptop az önálló gyakorláshoz.

 


Tuesday October 13, 2015 13:00 - 16:00
workshop room 4.

13:00

Innováció a BI-ban workshop 2. rész (HUN)

Innováció a BI-ban workshop

Az egész napos workshop az üzleti intelligencia aktuális trendjeiről, eszközökről és megoldásokról ad körképet, és bemutatja a BI piac meghatáozóró szereplőinek stratégiáját és szoftverkínálatát.


Délután

  • Szállítói körkép

    • A BI piac mérete és szegmensei

    • A négy óriás (IBM-Cognos, Microsoft, Oracle, SAP- BusinessObjects)

    • A specialisták (MicroStrategy, Qlik, SAS, Tableau)

    • Feltörekvő cégek, akikre érdemes figyelni

  • Eszközválasztás

    • Mire érdemes figyelni BI szoftverek kiválasztásánál

    • Néhány ingyenesen elérhető BI szoftver


Részvételi feltételek:  Általános informatikai ismeretek




Speakers
avatar for Bence Arató

Bence Arató

Managing Director, BI Consulting
Managing Director of BI Consulting Hungary. He has been in the BI industry since 1995 as an analyst, architect and consultant. He advises companies on general BI strategy, project and architecture planning, and vendor and tool selection. Also provides QA and on-the-job mentoring services. He leads the research activities of the yearly run BI-TREK and DW-TREK surveys collecting information and user feedback about the local BI&DW. He also teaches... Read More →


Tuesday October 13, 2015 13:00 - 16:00
workshop room 1.

13:00

Kezdő Python és Pydata alapozó workshop 2. rész (HUN)
A Python az utóbbi évek egyik meghatározó adatelemzési eszköze. Rugalmasságának és sokszínű eszközkészletének hála, nagy népszerűségnek örvend data scientist körökben. Az egész napos workshop bevezetőként szolgál a Python programozási nyelv és az adatok kezeléséhez illetve elemzéséhez használható eszközeinek megismeréséhez.

Megismerkedünk a Python alap funkcióival, amelyek elősegítik, hogy hatékonyan használhassuk adatvezérelt folyamatokban. Ezt kiegészítendő, betekintünk a Python által nyújtott, kifejezetten adatfeldolgozásra és -elemzésre szolgáló csomagok funkcionalitásába is.

Előfeltétel:  Hasznos lehet bármilyen alapszintű programozási ismeret, de nem előfeltétel. A workshop nagy része követhető lesz lépésenként, de az érthetőségen nem ront, ha valaki nem hoz saját gépet, csak figyel. Amennyiben a workshop anyagát aktívan követni szeretnék, megtehetik egy közös távoli szerveren, ahol dolgozunk majd. Ez kiváltható a python csomagok telepítésével is.

Speakers
avatar for Kazi Sándor

Kazi Sándor

Data Scientist, Dmlab
Sándor Kazi is both a data scientist at Dmlab ltd and a lecturer at Budapest University of Technology and Economics. He graduated from there in 2012 with a strong mathematical background and an interest in data-related technologies. As a data scientist he prefers to work with Python but still tends to use graphical tools like Rapidminer mostly for teaching data science. He considers himself a Hadoop and Spark enthusiast with some years... Read More →


Tuesday October 13, 2015 13:00 - 16:00
workshop room 2.

13:00

R bevezető workshop 2. rész (HUN)
Az R statisztikai programnyelv a "data science" egyik legnépszerűbb és legerőteljesebb eszköze. Az egész napos kurzuson az R alapvető struktúrájának és objektumainak megismertetését követően - egy-egy rövid esettanulmány gyakorlatorientált feldolgozásán keresztül - az adatelemzés és -vizualizáció valamennyi lényegi lépését érintjük.

Tematika:
1) Az R mint statisztikai szoftverkörnyezet bemutatása
- GNU R, CRAN
- R és RStudio telepítése

2) R alapok
- alapvető objektumok, függvények, ábrázolási lehetőségek
- hogyan segítsünk magunkon

3) Az adatelemzés lépései esettanulmányokon keresztül
- adatok beolvasása külső forrásból
- adatfeldolgozás és -tisztítás
- exploratív ábrázolás
- modellezés
- riport készítése

Előfeltétel: Felhasználói szintű számítógépes ismeretek. Önálló gyakorláshoz saját laptop ajánlott. Legyen a gépeken R (https://cran.r-project.org/), RStudio (https://www.rstudio.com/) és ha Windows-os gépekről van szó, Rtools (https://cran.r-project.org/bin/windows/Rtools/). Az egyes R-csomagokat már rendszergazdai jogosultság nélkül, a képzésen tudják majd telepíteni.

Speakers
avatar for Dr. Tóth Dénes

Dr. Tóth Dénes

ügyvezető, Kogentum Kft.
Dr. Tóth Dénes a az MTA Agyi Képalkotó Központjának tudományos munkatársa. A Budapesti Közgazdaságtudományi és Államigazgatási (a mai Corvinus) Egyetemen diplomázott 2003-ban közgazdászként, majd két évvel később az ELTE Pedagógiai és Pszichológiai Karán... Read More →


Tuesday October 13, 2015 13:00 - 16:00
workshop room 3.

18:30

BI, Python & R meetup

This meetup will let you meet and greet our speakers and listen to a variety of quick talks. 

Participating partner meetups: Budapest BI meetupBudapest Users of R Network (BURN) meetupBudapest.Py meetup.

List of talks:

Pokemon and Starcraft  
In this short talk I'll demo two quick analyses that allowed me to make better decisions in video games. I'll demonstrate how to calculate an optimal portfolio of Pokemon as well as a defence selector for StarCraft 2: nexus wars.  
Vincent Warmerdam, GoDataDriven

Python's High Performance Landscape 
A short review of Python's high-performance-computing landscape by the author of O'Reilly's High Performance Python book focusing on CPU-bound and RAM-bound processing problems 
Ian Ozsvald,ModelInsight.io

Intro to NumPy  
The numpy package takes a central role in Python data science code for numerical processing.This is mainly because numpy code has been designed with high performance in mind. This short talk will highlight the most essential features of numpy by discussing some concrete examples where numpy takes a central role. 
Valerio Maggio, University of Salerno

Rango - Databases made easy  
Rango is a package that makes it easy to use relational databases directly from R and without a line of SQL (an Object Relational Mapper in tech-speak).Rango creates joins automatically and optimizes where possible, the same code works on multiple database back-ends. 
Willem Ligtenberg, Open Analytics

In-memory analytics on JSON-like data 
This talk gives an overview of techniques for data structures for efficient analysis of semi-structured (e.g. JSON) data. 
Wes McKinney, Cloudera

Planned schedule:  
18:30 Doors Open  
19:00 Talks  
19:45 Break 
20:00 Talks    
21:00 Meetup finishes


Tuesday October 13, 2015 18:30 - 21:00
Hotel
 
Wednesday, October 14
 

08:00

Registration / Regisztráció
Wednesday October 14, 2015 08:00 - 09:00
Hotel

09:00

Shipping Data Science Products!

The step from "it works in R&D!" to "hey, its deployed and we trust it!" takes a lot of work. I've been deploying working data science products from conception through to production for 17 years. I'll boil down the main steps you need to focus on to deal effectively with bad data, complicated data and algorithm dependencies, debugging, reporting and APIs and robust deployments. This talk focuses on Python but the main lessons and horror stories will apply to all languages.

If you're fresh out of academia and want to do data science then this will open your eyes to how 'stuff works in industry'. If you're in a growing data science team then you can learn from my mistakes! Be more effective, stop fighting fires and burning time.


Speakers
avatar for Ian Ozsvald

Ian Ozsvald

A.I. researcher, ModelInsight.io
Ian Ozsvald is co-founder of the 1,900+ member PyDataLondon meetup and conference series, a published O'Reilly author, international speaker and teacher and he runs a 10 year old Data Science consulting group in London (ModelInsight.io). He actively blogs on data science.


Wednesday October 14, 2015 09:00 - 09:40
Mátyás I-II.

09:45

Ibis: Productive Python Analytics at Scale

While Python is a de-facto language for modern data engineering and data science, Python development has been confined to local data processing—thereby limiting its users to smaller data sets. Historically, to address bigger data workloads, Python developers have had to extract samples or aggregates, forcing compromises in data fidelity, adding ETL costs, and ultimately leading to a loss of productivity and addressable use cases.

Ibis, a new open source data analytics framework for Python developers, has the goal of enabling the Python data ecosystem (NumPy, pandas, etc.) to operate efficiently at Hadoop scale. To enable high performance Python at scale without the age-old JVM interoperability problems, we are exploiting unique synergies between Python and Impala, the leading open source MPP analytical query engine. In this talk, Ibis creator Wes McKinney, who was also the creator of pandas, will give an overview of Ibis and the upcoming project roadmap. 


Speakers
avatar for Wes Mckinney

Wes Mckinney

Software Engineer, Cloudera
Wes McKinney is a software engineer at Cloudera and lead developer and co-creator of Ibis. Prior to that, Wes was co-founder of DataPad, and CTO and Cofounder of Lambda Foundry, Inc. From 2010 to 2012, he served as a Python consultant to hedge funds and banks while developing Pandas, a widely used Python data analysis library. From 2007 to 2010, he researched global macro and credit trading strategies at AQR Capital Management. He graduated... Read More →


Wednesday October 14, 2015 09:45 - 10:30
Mátyás I-II.

10:30

Coffee Break / Kávészünet
Wednesday October 14, 2015 10:30 - 11:00
Hotel

11:00

Machine learning for particle physics using R
Search strategies for new subatomic particles often depend on being able to efficiently discriminate between signal and background processes. Particle physics experiments are expensive, the competition between rival experiments is intense, and the stakes are high. This has lead to increased interest in advanced statistical methods to extend the discovery reach of experiments. This talk will present a walk-through of the development of a prototype machine learning classifier for differentiating between decays of quarks and gluons at experiments like those at the Large Hadron Collider at CERN. The power to discriminate between these two types of particle would have a huge impact on many searches for new physics at CERN and beyond. I will discuss why I chose to perform this analysis in R, how switching to R has helped my work, and how I have overcome the problems that I encountered when working with large datasets in R.

Speakers
avatar for Andrew Lowe

Andrew Lowe

Scientific Research Fellow, Wigner Research Centre for Physics, Hungarian Academy of Sciences
Andrew Lowe is a particle physicist at the Wigner Research Centre for Physics, Hungarian Academy of Sciences, in Budapest. He spent several years based at the European Organization for Nuclear Research (CERN) in Geneva and was a member of the collaboration that discovered the Higgs boson. He played a major role in the development of the core software and algorithms for a real-time multi-stage cascade classifier that filters and reduces the... Read More →


Wednesday October 14, 2015 11:00 - 11:40
Mátyás I-II.

11:45

Heroes, Warcraft and Spark
In this talk I will explain how I've used Apache Spark to become better at playing video games. I've downloaded the results of 500,000 heroes of the storm matches and 40Gb of world of warcraft auction house data and during this talk I'll explain why spark might be a preferable tool to tackle the technical problems that you encounter with these datasets (cpu/memory bounds). I'll explain how you can get started with apache spark locally and in the cloud using just a few commands from the command line and I'll give a small demo of what SparkR, PySpark and Scala-Spark look like. The goal of the talk is to supply the audience with interesting conclusions from fun datasets as well as the means to quickly get started with Spark themselves. 

Speakers
avatar for Vincent Warmerdam

Vincent Warmerdam

Data Scientist, GoDataDriven
Vincent is a data scientist and developer at GoDataDriven. Prior to that he worked as an independent data scientists while teaching statistics and calculus. The world will be a better place if people use data effectively which is why he gives free lectures/sessions to people who want to get started with open source data analysis in Amsterdam. He is fluent in python, R and javascript and even dabbles with scala, julia and C# from time to... Read More →


Wednesday October 14, 2015 11:45 - 12:30
Mátyás I-II.

12:30

Lunch / Ebéd
Wednesday October 14, 2015 12:30 - 13:30
Hotel

13:30

Luigi Task Orchestrator – three aspects

Luigi is a Python module for building complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization and more. I've picked three topics covering the framework itself, the open source aspect of Luigi and the fact that we use Luigi at a Spotify scale:

* Declarative Python Programming in Luigi
* Building an open source community
* Anecdotes of operating Luigi in Spotify

Luigi has a very vibrant community with many pull requests per day and hundreds of contributors. You can check it out at https://github.com/spotify/luigi


Speakers
avatar for Arash Rouhani

Arash Rouhani

Data Engineer, Spotify
Arash Rouhani is working at Spotify as a Data Engineer and is the Chief Maintainer of Luigi. His interest in Reactive Programming lead him to an internship at Facebook which side-tracked him into the realm of Hadoop and Big Data. Arash also have a background in competitive programming and contributes to the Glasgow Haskell Compiler.


Wednesday October 14, 2015 13:30 - 14:00
Mátyás II.

13:30

News from dplyr and future plans
Following last year’s presentation of dplyr at Budapest BI 2014, we’ll give a quick introduction of the now famous dplyr package for data manipulation, we’ll review some of the recent changes and fixes from the latest versions, and finish up with plans for upcoming developments.

Speakers
avatar for Romain Francois

Romain Francois

co-author of the dplyr R package, R-enthusiast
Romain has been operating as a freelance R consultant since 2008. He is interested in all things R, but has focused a lot of energy in making the connection between R and C++ as a way to leverage performance. Lately, Romain has written the C++ internals of Hadley Wickham’s popular dplyr package for R. He was an invited keynote speaker at the last useR conference in Aalborg.


Wednesday October 14, 2015 13:30 - 14:00
Mátyás I.

14:05

Forecasting the structure of natural gas consumers pool with R
Revenues of natural gas providers and distributors naturally strongly depend on the amount of delivered natural gas and its price. The retail prices could be different for different customers. Typically the price depends on the volume of consumed gas. In that case it would be useful to forecast the total amount of consumed gas within each tariff class, i.e., for each price level. If the tariff classes didn't depend on the consumption, then it could be solved by standard forecasting methods. Otherwise, customers can change tariff classes over time. This generates a dependency structure between classes. We have developped an R package for Czech gas distributor RWE GasNet, s.r.o., which implements a prediction model taking into account the described dependency structure. The package is also able to create the explanatory variables for the model from regular invoicing data. The whole process of estimating model parameters and forecasting the number of customers and their total consumption for each tariff class can therefore be done within this R package with no need of extra data preprocessing. In the presentation I will briefly introduce the design of the prediction model and the main features of the package.

Speakers
avatar for Ondřej Konár

Ondřej Konár

Postdoctoral fellow, The Czech Academy of Sciences: Institute of Computer Science
Junior researcher (from 2004, but still feeling quite junior) with main interest in applied statistics. I have worked mainly on energy consumption modelling and forecasting, but also e.g. on parking lot occupancy forecasting, weather forecast statistical postprocessing, cloudiness forecasting, analysis of floating car data etc. Statistics is the keyword, I'm open to various applications. I'm a (more and more) enthusiastic R user.


Wednesday October 14, 2015 14:05 - 14:35
Mátyás I.

14:05

Machine Learning Under Test

One point usually underestimated or omitted when dealing with machine learning algorithms is how to write *good quality* code. The obvious way to face this issue is to apply automated testing, which aims at implementing (likely) less-buggy and higher quality code.

However, testing machine learning code introduces additional concerns that has to be considered. On the one hand, some constraints are imposed by the domain, and the risks intrinsically related to machine learning methods, such as handling unstable data, or avoid under/overfitting. On the other hand, testing scientific code requires additional testing tools (e.g., `numpy.testing`), specifically suited to handle numerical data.

In this talk, some of the most famous machine learning techniques will be discudded and analysed from the `testing` point of view, emphasizing that testing would also allow for a better understanding of how the whole learning model works under the hood.

The talk is intended for an *intermediate* audience. The content of the talk is intended to be mostly practical, and code oriented. Thus a good proficiency with the Python language is **required**. Conversely, **no prior knowledge** about testing nor Machine Learning
algorithms is necessary to attend this talk.

Speakers
avatar for Valerio Maggio

Valerio Maggio

Post Doc Researcher, University of Salerno
Valerio Maggio has a PhD. in Computational Science from the University of Naples “Federico II” and he is currently a Postdoc researcher at the University of Salerno. His research interests are mainly focused on Machine Learning and Software Engineering, recently combined with Semantic Web technologies for linked data and big data analysis.
Valerio started developing open source software in 2004, when he was a bachelor degree student. In... Read More →


Wednesday October 14, 2015 14:05 - 14:40
Mátyás II.

14:40

Finding the right customer – an uplift model case study
To maximize the return-of-investment (ROI) for a direct marketing campaign it is critical to contact the right customers for a campaign. One common approach is using a response model which aims to maximize the response rate but not necessarily the ROI of such campaigns. However, the recently developed technique of “uplift modeling” promises to provide much higher detail. Uplift models are designed to maximize the ROI of a campaign instead of just measuring the response rate. By comparing the treated group with the control group, uplift models predict the influence of the marketing campaign and not the customer behavior like in response models. The ROI can be increased by contacting only customers which respond thanks to the marketing campaign and leaving customers untouched who would have responded without contacting them. Churn analysis also strongly benefits from uplift models, as they identify the customer segment which might respond negatively when contacted. The presentation shows different types of uplift models within the R programming environment. Furthermore, it compares response models with uplift models in a case study.

Speakers
avatar for Wolfgang Körbitz

Wolfgang Körbitz

Student, WU Wien
Wolfgang Körbitz combines many years of experience in market research with academic research. During his time in academia, he applied R tools to extract knowledge from large amounts of unstructured, i.e. textual data. Currently, he holds a position as a data scientist in an internationally operating enterprise focusing on customer relationship management. He analyses transactional data and performs market segmentations routinely.


Wednesday October 14, 2015 14:40 - 14:55
Mátyás I.

14:40

Composing testable and robust machine learning pipelines

Finding a good structure for number-crunching code can be a problem, this especially applies to routines preceding the core algorithms: transformations such as data processing and cleanup, as well as feature construction. With such code, the programmer faces the problem, that their code easily turns into a sequence of highly interdependent operations, which are hard to separate. It can be challenging to test, maintain and reuse such “Data Science Spaghetti code”.
Data scientists are faced with these problems on a day-to-day basis when writing machine learning pipelines. This is even more important if the models should be used in a production environment. Scikit-Learn offers a simple yet powerful interface for data science algorithms: the estimator and composite classes (called meta-estimators). By example, I show how clever usage of meta-estimators can encapsulate elaborate machine Looking at examples, I will show how this approach simplifies model development, testing and validation and how to brings together best practices from software engineering as well as data science.learning models into a maintainable tree of objects that is both handy to use and simple to test.


Speakers
avatar for Holger Peters

Holger Peters

Data Scientist and Software Developer, Blue Yonder GmbH
Holger studied physics at the Karlsruhe Institute of Technology and the University of Waterloo. He has used the scientific Python stack for data analysis ever since working on his thesis. He works at Blue Yonder GmbH as a data scientist & software engineer, mainly programming in Python (scikit-learn and the scientific python stack) and occasionally C++. He has an interest in connecting the worlds of data science and software engineering.


Wednesday October 14, 2015 14:40 - 15:10
Mátyás II.

14:55

Looking for Something Special — Outlier Detection in R
Data mining is usually about trends, repetitive patterns, generally true relationships. Thus, filtering outliers is a necessary step prior to any modelling operation in order to eliminate anything obviously untypical. However, there are several domains where detection and characterization of outliers indicating unexpected events are in the focus of research. For instance in finance (fraud detection) or security (network intrusion detection), outliers are not considered as measurement errors but important markers of interesting or dangerous phenomena. Therefore, machine learning frameworks — RapidMiner, Scikit-learn, H2O, Weka, ELKI — all have their own subset of detection algorithm implementations.The talk summarizes the basic concepts aiming at detection and characterization of outliers, focusing their implementation in R.

Speakers
avatar for Salánki Ágnes

Salánki Ágnes

PhD student, Budapest University of Technology and Economics
Ágnes Salánki is a second-year PhD student at the Budapest University of Technology and Economics (BME) with a research focus on statistical performance analysis of fault tolerant systems. She interned for Google and the Data Mining and Search Group of the Hungarian Academy of Sciences (MTA SZTAKI), where her projects were based on applications of visual analytics. She is co-lecturer of the course ''Big Data Analysis... Read More →


Wednesday October 14, 2015 14:55 - 15:10
Mátyás I.

15:10

Coffee Break / Kávészünet
Wednesday October 14, 2015 15:10 - 15:30
Hotel

15:30

Recommender systems in anomaly detection
Recommender systems were developed to efficiently target customers with the best personalized offers, but there are several use cases in different fields where their usage could be beneficial. Anomaly detection is among these fields. A good recommender system can show what patterns are usual, so at the same time it is able to detect behaviours which are extremely unlikely. In the presentation I will show some ways to detect anomalous activities and identify outlier entities using a recommender system built on user activities. 

Speakers
avatar for Windhager-Pokol Eszter

Windhager-Pokol Eszter

Data Scientist, Balabit
Eszter Windhager-Pokol is data scientist at BalaBit developing a machine learning driven IT security tool, Blindspotter. Eszter has 7 years of experience in supporting data driven decision making and 4 years' research experience in collaborative filtering. She lead several data mining projects from the presales stage till the deployment, including the discussion of the results with the decision makers. Besides consultancy Eszter also has... Read More →


Wednesday October 14, 2015 15:30 - 16:00
Mátyás II.

15:30

Shiny as a platform for collaborative data exploration
Shiny from Rstudio is the leading web application framework for R. At Quanopt, we regularly use it to enable web-based, collaborative exploration of experimental data. (Sending around plots & scripts and navigating heaps of static figures tends to get old rather fast.) We are going to give an overview of Shiny and through examples, an introduction into its core programming concepts. The ways to weave Shiny together with other visualization solutions client-side will be discussed and our main Shiny-supported analysis scenarios will be also demonstrated. We conclude with our experiences on the types of problems that Shiny excels at solving and its main limitations – technological as well as conceptual.

Speakers
avatar for Kocsis Imre

Kocsis Imre

Co-founder, research director, Quanopt Ltd
Imre Kocsis is co-founder and research director at Quanopt Ltd. and an assistant lecturer at the Dept. of Measurement and Information Systems of BME. His work and research mainly focuses on measurement-based performance and availability assessment of critical (e.g. telco) cloud infrastructures and applications. At BME, he is co-lecturer of the courses „Big Data Analysis Techniques” and „Cyber-Physical Systems”. He is a... Read More →


Wednesday October 14, 2015 15:30 - 16:00
Mátyás I.

16:05

Analyzing Networks in Python
Networks encode complex information on all kinds of interactions. We look at how a network perspective can reveal valuable information about corruption in public procurement, internal collaboration at a multinational firm, and the tone of campaigns on twitter, all with the phenomenal NetworkX library.NetworkX is a highly productive and actively maintained library that interacts well with other libraries and environments. It inherits many Python strengths like fast prototyping and ease of teaching. We also discuss alternatives like graph-tool and igraph.

Speakers
avatar for Johannes Wachs

Johannes Wachs

PhD Student, CEU Center for Network Science
Johannes Wachs is a PhD student at the Center for Network Science at Central European University. He is also affiliated with the Corruption Research Center Budapest, an nonprofit using data driven methods to investigate corruption risks in government. He has used network science as a consultant for Bondweaver, advising firms on internal communication and collaboration. Python is his preferred ecosystem in all these roles.


Wednesday October 14, 2015 16:05 - 16:20
Mátyás II.

16:05

R Service Bus
Having the right algorithm is a first big step to using advanced analytics to solve your problem and inform your decisions. The next one is to integrate the algorithm into your workflows and business processes.
The R Service Bus is a swiss army knife that allows you to plug R into your processes independently of the technology used by other software applications involved in the workflow. It has been in development for over two years and released under open source license to the R community in April 2011.
In this presentation I will provide an overview of the features of the R Service Bus and show how it can be used to integrate R into your workflow. The R Service Bus ensures reliability, flexibility, high availability and scalability of R-based analytics applications

Speakers
avatar for Willem Ligtenberg

Willem Ligtenberg

Open Analytics, Biostatistics consultant
Willem has been a consultant with Open Analytics for 5 years. During which he has been involved in many different parts of data analysis, from analysing clinical trial data to building a big database to store genetic data. He is also very interested in GPU computing, and has written ROpenCL to support that. His latest package Rango has been developed to make object oriented database interaction possible in R. Both the Rango package and the... Read More →


Wednesday October 14, 2015 16:05 - 16:35
Mátyás I.

16:20

How to "start mining" in KNIME from sketch
The talk aims to provide an idea of how KNIME text mining can be utilized in any context from sketch to execution and visualization. I will introduce a way of how it is possible to build the foundations of text mining in the heads of not “tech-savvy” people and furthermore, how is it possible to deepen the understanding of such methods, making the business oriented stakeholders more engaged and proactive in the technology. Through a basic example to the complex built in capabilities of KNIME I will cover some of the most important possibilities text mining can bring to the table, in a way that it can be built up in the minds of people relatively new to the topic. Aside of the analysis possibilities, I will detail some visualization opportunities, to make KNIME part of a flexible end-to-end reporting and visualization process.

Speakers
KP

Kuna Péter

Business Analyst, InfomatiX Ltd.
A Business Intelligence enthusiast, with research, strong IT and consulting background. With experience in many fields, from telco through constructions to tourism, my goal is to connect the dots, and apply working models of a business area in other places, where they weren’t utilized before. With the technical background of C#, Python programming, knowledge of reporting and analysis tools such as Tableau, Spotfire, KNIME and... Read More →


Wednesday October 14, 2015 16:20 - 16:35
Mátyás I.

16:40

Teaching R in heterogeneous settings: Lessons learned
There is a rich field of economic and business applications for statistical data analysis and R: From Human Resources to Finance. In 2013 the FOM, a private university of applied sciences for professionals studying while working with more than 30 study centres across Germany, decided to use R compulsory in all statistical courses in all the different Master programs and in all study centres. By using R Commander (Fox, 2005), real life data sets, step-by-step installation guidelines as well offering a portable version with preinstalled packages and a support email address we tried to facilitate and motivate the start and working with R. Coping with the heterogeneity of students, lecturers and computer platforms like Windows and Mac OS there are some pitfalls in such a teaching project, but also some opportunities, which were also revealed in an evaluation of students and lectures alike.

Speakers
avatar for Matthias Gehrke

Matthias Gehrke

Professor, FOM University of Applied Sciences
Matthias Gehrke, born 1961 in Frankfurt, Germany, is teaching at FOM since 2006. He was appointed to a professorship 2009, with main focus on costs and controlling. His actual field of research is finance and applied statistics. Following his study in chemistry Matthias did his PhD in structural determination of natural substances. After that he got shareholder in a company for measurement instrumentation. 1993 he founded a company for medical... Read More →


Wednesday October 14, 2015 16:40 - 16:55
Mátyás I.

16:40

Going Functional: Three Programming Languages what every Data Scientist should learn

While mainstream data scientists use Python and R as their primary tools there are many other languages that provide additional benefits compared to these traditional tools. The session tries to showcase three examples: how Haskell, Clojure and Julia can help you to write scalable, error-free, well-performing algorithms.


Speakers
avatar for Földi Tamás

Földi Tamás

Owner, Co-founder & CTO, Starschema
During daytime Starschema owner, co-founder & CTO Tamas Foldi leads an army of 100+ Big Data and Data Viz consultants making Starschema a top notch worldwide DevOps provider focusing on large deployments and cutting edge custom made solutions. He never leaves the work field, he is always ready to help his teams to crunch and refine petabytes of data across every continent, every day. When not fighting bits and bytes he relaxes with his... Read More →


Wednesday October 14, 2015 16:40 - 17:10
Mátyás II.

16:55

archivist: Managing Data Analysis Results
Open science needs not only reproducible research but also accessible final and partial results. During the speech I will present the most valuable applications of the archivist package. The archivist is an R package for data analysis results management, which helps in managing, sharing, storing, linking and searching for R objects. The archivist package automatically retrieves the object’s meta-data and creates a rich structure that allows for easy management of calculated R objects. The archivist package extends the reproducible research paradigm by creating new ways to retrieve and validate previously calculated objects. These functionalities also result in a variety of opportunities such as: sharing R objects within reports/articles by adding hooks to R objects in table/figure captions; interactive exploration of object repositories; caching function calls; retrieving object’s pedigree along with information on how the object was created; automated tracking of performance of models.

Speakers
avatar for Marcin Kosiński

Marcin Kosiński

Data Scientist, Grupa Wirtualna Polska
Marcin Kosiński is a master student in Mathematical Statistics and Data Analysis specialty and is working in the Research and Development Department at the biggest polish news web portal, wp.pl (Virtual Poland Group). Challenges seeker and big R package enthusiast. Currently working in the field of large-scale online learning and various approaches to personalized news article recommendation. Co-organizer of the... Read More →


Wednesday October 14, 2015 16:55 - 17:10
Mátyás I.

17:10

Welcome Reception
Wednesday October 14, 2015 17:10 - 18:30
Hotel
 
Thursday, October 15
 

08:00

Registration / Regisztráció
Thursday October 15, 2015 08:00 - 09:00
Hotel

09:00

Holistic Event Analytics at SoundCloud
Great analysis begins with great data, and great data for platforms like SoundCloud often begins with great event tracking. With user experiences that often vary across different client implementations (soundcloud.com versus the SoundCloud iOS and Android apps), how does one design a tracking framework that works effectively across multiple apps?
The Holistic Tracking Initiative is a project at SoundCloud aimed at unifying and standardizing the way we do user behavior tracking across all SoundCloud experiences by aligning tracking logic with a platform's underlying information architecture. The talk will introduce an overview of the framework along with motivations behind the project, challenges faced along the way, and several interesting use case analyses that are made possible when following this framework.

Speakers
avatar for Cory Levinson

Cory Levinson

Data Analyst, SoundCloud
Cory Levinson has been active as a data analyst at SoundCloud in Berlin since 2011. Past projects include focusing on analytics for creator product experiences, and designing frameworks for enabling social network analysis within the SoundCloud. He is currently the analytics lead for a project on rethinking event tracking at SoundCloud, which is the subject for his talk at Budapest BI Forum. He holds a BSc in mathematics from the University of... Read More →


Thursday October 15, 2015 09:00 - 09:40
Mátyás I-II.

09:45

Watson Analytics
Speakers
avatar for Vedran Travica

Vedran Travica

Central and Eastern Europe Business Analytics Leader, IBM
Currently, I’m responsible for sales management of IBM Analytics solutions and am part Southeast Europe’s regional team.  | | After working as Sales Manager at the leading Analytics implementation / consultancy in South East Europe, I have joined IBM as a member of the regional Software Group team. Since starting with IBM, I have been working in variety of regional sales roles with focus on Analytics software products and... Read More →


Thursday October 15, 2015 09:45 - 10:30
Mátyás I-II.

10:30

Coffee Break / Kávészünet
Thursday October 15, 2015 10:30 - 11:00
Hotel

11:00

Scaling up Business Intelligence from the scratch and to 14 countries worldwide
In the talk described our experience of setting up data reporting and Business Intelligence processes for an international company. Starting with an Excel file and bunch SQL queries, switching from in-house reporting solution to centralised hosted reports for building a flexible system for monitoring KPI of the company.

Attendees will learn from our experience how to integrate Tableau into the processes of a company, how to build independent ETL subsystems that scale to petabyte size and other useful learnings.

We will cover our early days with cloud solutions, that do not provide a DWH platform, so you can not expect any kind of production requirements. In the talk, we will go through the process of automatically duplicating our Tableau datasources to Amazon Redshift. That will enable us to be more flexible with scaling data, be sure about backup strategies and many-many more points. We will introduce our python toolchain that helps us in a daily management of our BI.

Speakers
avatar for Sergii Khomenko

Sergii Khomenko

Data Scientist, STYLIGHT
Data scientist at one of the biggest fashion communities, STYLIGHT. Data analysis and visualisation hobbyist, working on problems not only in working time but in free time for fun and personal data visualisations. | | Speaker at different conferences: Berlin Buzzwords 2014, ApacheCon Europe 2014, Puppet Camp London 2015, Munich Developer Camp, Berlin Buzzwords 2015, Tableau Conference on Tour - Berlin 2015. | | Founder and speaker at Munich... Read More →


Thursday October 15, 2015 11:00 - 11:40
Mátyás I-II.

11:45

Approachable Analytics – putting Analytics in Action

It is an undeniable fact that there is an increasing level of awareness of the benefits of adopting a more analytical approach and a recognition that analytics play a major role in better decision making. A new analytics culture is emerging on the foundation of access to lots of data, an unconventional spirit towards exploring information and new techniques & scalable computing power. Like every change in the world and progress towards adoption of innovative cultures, there are challenges and approaches. This session enlists some of these challenges & approaches and discusses how newer technologies in the space of data visualization and analytical modelling converge the capabilities to provide approachable analytics helping organizations put analytics in action.


Speakers
avatar for Anand Chitale

Anand Chitale

Head of Business Intelligence, SAS Global Technology Practice, SAS
Anand carries a strong 14+ years of hands-on experience in designing and implementing strategic business solutions for large organizations in client-facing role ensuring successful implementation of their BI strategies. At SAS, Anand leads the Data Visualization and Data Management teams within the Global Technology Practice primarily focusing on driving the success of SAS Business Intelligence & SAS Data Management offerings. He... Read More →


Thursday October 15, 2015 11:45 - 12:30
Mátyás I-II.

12:30

Lunch / Ebéd
Thursday October 15, 2015 12:30 - 13:30
Hotel

13:30

Adatvizualizációs esettanulmányok
Megvalósult példákon végigvezetve mutatom be, hogyan alakítom ki a nyers adatból a végső, összetett vizualizációkat. A most bemutatott ábrák a Petőfi Irodalmi Múzeum számára készültek és átfogó képet adnak arról, hogy a Nyugat írói hol éltek és dolgoztak, életük mely szakaszában foglalkoztak a folyóirattal, illetve mely budapesti kávéházakat látogatták.

Speakers
avatar for Szűcs Krisztina

Szűcs Krisztina

Data visualization designer, krisztinaszucs.com
Krisztina is a Data Visualization Designer coming from the field of Graphic Design. She graduated from Moholy-Nagy University of Art and Design and works in the international freelance market.


Thursday October 15, 2015 13:30 - 14:00
Mátyás I.

13:30

Self-service BI System for Downstream Supply Chain Optimization

How to deliver an on-time, on-spec, and on-budget near real-time BI solution for multi-user environment and overcome technical and project managerial challenges of iterative development in a traditional heavy industry.


Speakers
avatar for Parázs Dávid

Parázs Dávid

Planning & Optimization Data Expert, MOL Group
Business architect and DWH manager of a supply chain management reporting and data analysis platform affecting 4 refineries and 2 petrochemical plants with 200+ users ranging from local experts to top managers. 7+ years of international experience from Japan to UK as a developer for data-intensive applications.
avatar for Kenesei Tamás

Kenesei Tamás

Modelling and Support Senior Expert, MOL Group
Tamás is currently project sponsor for a BI project. He holds MSC in Information Technology and PhD in Chemical Engineering. He has 8 years’ experience in LP model building and in data visualization from expert to managerial level as well. He has several publications in Machine Learning dealing with the interpretability of computational intelligence-based regression models.


Thursday October 15, 2015 13:30 - 14:00
Mátyás II.

14:05

Adatvizualizáció és analitika mindenkinek

A SAS újgenerációs BI eszköze egy nagy teljesítményű, memória alapú megoldás, mellyel a felhasználók adatelemzéseket, interaktív jelentéseket és mélyebb analitikai felismeréseket végezhetnek, minden eddiginél gyorsabban, tetszőleges méretű adaton. Az adatok vizuális és interaktív feltárásával valamint az analitikai elemzések révén a felhasználók széles köre számára biztosított az önálló adatfeltárás lehetősége új készségek elsajátítása vagy az IT bevonása nélkül.

Az előadásban az eszköz tulajdonságainak áttekintése mellett röviden bemutatjuk a SAS Visual Analytics elemző és riportkészítő képességeit.


Speakers
avatar for Portik Imre

Portik Imre

Vezető Pre-sales tanácsadó, SAS Magyarország
Okleveles mérnők informatikus, 2001 óta dolgozik a SAS Magyarországnál. Ez idő alatt számos projekten vett részt, elsősorban banki területen, üzleti intelligencia rendszerek bevezetésében és implementálásában szerzett szakmai tapasztalatot. 2008-tól pre-sales tanácsadó, jelenleg a SAS SEE régió vezető üzleti... Read More →


Thursday October 15, 2015 14:05 - 14:35
Mátyás II.

14:05

Szöveges jelentések és riportok kezelése
Speakers
avatar for Kiss Máté

Kiss Máté

South-East Europe Business Analytics Specialist, IBM Hungary
Client Technical Specialists at IBM are technical consultants to clients, IBM sales teams and/or IBM Business Partners. I understand the client's business requirements, technical requirements and/or competitive landscape. I provide technical sales support which may include: collaborate with IBM sales teams to define, design, and detail the technical aspects and feasibility of proposed solutions; deliver Proof of Concept; develop and deliver... Read More →


Thursday October 15, 2015 14:05 - 14:35
Mátyás I.

14:40

Daily sales at your fingertips – eliminate organisational roadblocks
Reporting case study from a European FMCG company. This presentation shows how innovative way of sales reporting can help collaboration in your organisation by bringing transparency and insight to your sales pipeline.

Speakers
avatar for Ollai János

Ollai János

Group Business Analyst, Partner in Pet Food Hungária Kft.
János Ollai is a developer and visualization enthusiast. Currently a Business Analyst at European Partner in Pet Food (FMCG), working on group-wide departmental reporting projects. Holds an MBA in Corporate finance and gained five years experience in Finance and management control. Always been interested in information technology, turned his career, and worked as database developer, report developer, and led ERP projects at multinational... Read More →


Thursday October 15, 2015 14:40 - 14:55
Mátyás II.

14:40

How to build a data-driven culture
Prezi is providing an amazing zooming presentation tool, that is cool. But how can we measure if we are moving to the right direction? The answer is to be data-driven. What does this mean? Support your decisions with data. But it doesn't mean, that everything can be answer only by using data. You need your dreams and innovative ideas, but data and analytics can help you to make better trade-offs. Unfortunately this is not an easy situation. The whole organization should understand: data and logs are important and you need to ask the good questions. Prezi is on the way how to form the thoughts about data, and has started to use it heavily. But the journey has been a bumpy road so far. If you are interested in where we started, what our successes and failures were, what the biggest challenge was and how we are using data right now, you should come to listen my talk.

Speakers
avatar for Attila Petróczi

Attila Petróczi

Data Analytics Manager, Prezi
Attila has experience in working with analysts, data engineers and also with stakeholders. As a lecturer of Budapest Business School he knows about the scientific background of analytics. Also as he was a consultant, he learnt how to be successful in managing hard and complex analytical projects. He was the first data analyst at Prezi, and he started to build the data-driven culture there. Later he was responsible for the company-wide metrics and... Read More →


Thursday October 15, 2015 14:40 - 15:10
Mátyás I.

14:55

A modern BI 15 percben - bemutatkozik a Yellowfin
Speakers
avatar for Fekszi Csaba

Fekszi Csaba

Ügyvezető Partner, Omnit Solutions Kft.
40 éves adattárház- és BI szakértő. A KKVMF informatika szakának és a Budapesti PSZF számvitel szakának elvégzése után a Veszprémi egyetemen szerzett mesterfokozatot informatikából. Pályája során számos, főleg banki és pénzügyi folyamatokat kiszolgáló rendszer (bankkártya... Read More →


Thursday October 15, 2015 14:55 - 15:10
Mátyás II.

15:10

Coffee Break / Kávészünet
Thursday October 15, 2015 15:10 - 15:30
Hotel

15:30

Multichannel personalization in retailing
Today customers are getting used to receive personalized services in the online world in the form of personalized recommendations and offers tailored to their needs. To keep up with this customer demands, brick & mortar businesses, including retailers also have to adapt to this trend if they want to keep their market position against online-only competitors.

In the talk we present a case study from of a hypermarket chain that started this transformation and now provides personalized offers to its loyalty card users using different channels to increase customer loyalty, improve brand image, and boost sales

In this project Gravity empowers advanced digital marketing campaigns, personalized couponing, website recommendations and personalized email campaigns with its customizable RECO Enterprise recommendation system and advanced analytics expertise. We discuss the prerequisites of the personalization project in terms of required data, introduces the personalization features and use-cases supported by recommendation module, and report on the initial results.

Speakers
avatar for Németh Bottyán

Németh Bottyán

Product Owner, Gravity R&D
Bottyán is one of the founders and has been working at Gravity R&D from the very beginning. He is directing the development of Gravity’s recommendation engine from several aspects. Bottyán oversaw the company scale up recommendations served per day from several million per day, to over 100 million per day. At the same time, he assisted Gravity in the addition of extra recommendation and personalization related features. He... Read More →


Thursday October 15, 2015 15:30 - 15:55
Mátyás I.

15:30

Adatbányászat a nagyvállalatoknál - K&H
Speakers
avatar for Dévényi Edit

Dévényi Edit

Head of Analytical CRM, K&H Group
Aktuáriusi és okleveles közgazdász diplomáját a Budapesti Közgazdaságtudományi Egyetemen szerezte 1997-ben. Pályája során közel 8 évig magyar és regionális projekteken adatbányászként és stratégiai tanácsadóként tevékenykedett, elsősorban a pénzügyi és... Read More →


Thursday October 15, 2015 15:30 - 15:55
Mátyás II.

16:00

Transactional Data Mining at Lloyds Banking Group
The presentation titled Transactional Data Mining at Lloyds Banking Group showcases how a ‘Proof of Concept’ project is conducted at the largest financial institution of the UK. Our primary objective is to explain how cutting edge predictive modelling methodology, coupled with massive data assets and a desire to innovate may lead to significant leverage over traditional techniques in modelling credit risk of a revolving credit product.

Speakers
avatar for Főző Csaba

Főző Csaba

Senior Manager Analytics, Lloyds Banking Group
Csaba is a Senior Manager Analytics at Lloyds Banking Group, based in London, UK. He is responsible for application and development of novel analytics, modelling, and data solutions in support of group-wide risk decisions. The second key focus of his role is to create and expand an Analytics Centre of Excellence, linking the team with external parties and internal stakeholders. | | Previously worked for Bank of America in New York as a Risk... Read More →


Thursday October 15, 2015 16:00 - 16:25
Mátyás II.

16:00

How to Design a Performance Management Dashboard for Real Business Value?

Dashboards and scorecards can be the most effective tools for performance management – only if they are designed by the appropriate method. The perfect dashboard includes the right set of key performance indicators and all the necessary dimensions. It is simple and easy to use but provide the answer for all the strategic business questions. The logical structure and beautiful design must hide the complexity of the huge amount of data behind and give inspiration for business actions by impressive visualizations. I will talk about the art of designing a powerful dashboard for driving performance management:

– How to understand and collect the business requirements
– Some best practises and methodologies about dashboard design
– What other key issues must be handled for a successful dashboard implementation


Speakers
avatar for Vera Lucia Kovacs

Vera Lucia Kovacs

Senior BI/DW Consultant & Architect, Vortess
I worked as a BI & Data Warehousing analyst and business consultant for 7 years (reporting, BI tools, data mining). Then I spent 5 years in technical teams working on BI & DWH development projects (all kinds of projects from data integration to self-service tool developments) and I used my business experiences as business analyst, business architect and developer. I earned a TDWI’s Certified Business Intelligence... Read More →


Thursday October 15, 2015 16:00 - 16:25
Mátyás I.

16:30

Adatbányászat a nagyvállalatoknál - Kerekasztal
A kerekasztal azokkal a kérdésekkel foglalkozik, amelyek a nagyvállalatok adatbányászati gyakorlatában merülnek fel. Hol van az adatbányászat helye a szervezetben? Milyen eszközöket és módszereket alkalmazhatunk? Hogyan választhatjuk ki, képezhetjük és motiválhatjuk az adatbányászattal foglalkozó szakembereket?

Moderators
avatar for Gáspár Csaba

Gáspár Csaba

Data Scientist, DmLab
Csaba szenvedélye az adatelemzés. 2002 óta foglalkozik az adatbányászat, a data science különböző területein: a Műegyetem oktató-kutatója, több adatelemzési innovációs megoldás kidolgozója, az adatbanyaszat.blog.hu oldal szerkesztője. 2007-ben alapította meg társaival a Dmlab adatelemzési műhelyt, ma... Read More →

Speakers
avatar for Főző Csaba

Főző Csaba

Senior Manager Analytics, Lloyds Banking Group
Csaba is a Senior Manager Analytics at Lloyds Banking Group, based in London, UK. He is responsible for application and development of novel analytics, modelling, and data solutions in support of group-wide risk decisions. The second key focus of his role is to create and expand an Analytics Centre of Excellence, linking the team with external parties and internal stakeholders. | | Previously worked for Bank of America in New York as a Risk... Read More →
avatar for Dévényi Edit

Dévényi Edit

Head of Analytical CRM, K&H Group
Aktuáriusi és okleveles közgazdász diplomáját a Budapesti Közgazdaságtudományi Egyetemen szerezte 1997-ben. Pályája során közel 8 évig magyar és regionális projekteken adatbányászként és stratégiai tanácsadóként tevékenykedett, elsősorban a pénzügyi és... Read More →
avatar for Gozlán Illés

Gozlán Illés

Adatbányászati főosztályvezető, OTP Bank
11 év adatbányászati tanácsadást követően 4 éve vezeti az OTP Bank Adatbányászati és Ügyfélérték Optimalizációs Főosztályát. Az OTP Bank Közép Európa egyik legnagyobb és legjobb pénzügyi jellegű adattárházával rendelkezik, ezért az adatok megfelel... Read More →


Thursday October 15, 2015 16:30 - 17:15
Mátyás II.

16:30

Az online analitika kihívásai
A miniszekció az online üzleti tevékenység mérésének és elemzésének kérdéseivel foglalkozik. A meghívott szakértők rövid bemutatkozó előadások után egy kerekasztal formájában vitatják meg, milyen speciális kihívásokkal jár az online analitika, az adatgyűjtés nehézségeitől a megfelelő eszközök kiválasztásán át az eredmények üzletileg hatékony alkalmazásáig.

Moderators
avatar for Iván László

Iván László

Arkon
Közgazdászként végzett a Corvinus Egyetemen. Az IFUA Horváth és Partners Kft-nél kezdett kontrolling tanácsadóként, majd később a Magyar Posta kontrolling igazgatója lett. Jelenleg az Arkon Zrt. (ingatlan.com) gazdasági vezetője, ahol a BI terület is a felügyelete alá tartozik.

Speakers
avatar for Mészáros Csaba

Mészáros Csaba

HVG
A HVG-nél az elmúlt 12 évben számos tapasztalatot szerzett. Részt vett a hvg.hu, a jobline.hu és további site-ok különböző verzióinak tervezésében, kivitelezésében, adatalapú újratervezésében és elemzésében. Lehetősége nyílt mind üzleti, mind fejlesztői... Read More →
KG

Kántor Gergely

Digital Analytics Manager, Vodafone
HK

Holló Krisztián

Online marketing manager, Arkon Zrt.


Thursday October 15, 2015 16:30 - 17:15
Mátyás I.

17:15

Closing Reception
Thursday October 15, 2015 17:15 - 18:30
Hotel