8 November 2016 - Conference Day 1 and Exhibits

08:00-09:00   REGISTRATION
09:00-09:10   Joint Conference Chair Introductions
Rick van der Lans, R20/Consultancy
Sue Geuens, DAMA International
09:10-10:00 KEYNOTE Leading Digital Strategy – Enterprise Data as an Asset
Sakari Jorma, CDO & CTO, Talenom
10:00-10:25   Break and Exhibit
10:25-11:15 DW/BI Strategies for Consolidating Enterprise Data Warehouses and Data Marts into a Single Platform
William McKnight, Consultant McKnight Consulting Group
DW/BI Data Management, Analytics and People – An Eternal Golden Braid
Peter Thomas, Head Of Data Management Insurance, peterjamesthomas.com Ltd
Enterprise
Data
Progressing an Enterprise Wide Data Accountability Structure From the Design Stage to Operational Effectiveness – Case Study from Yorkshire Building Society Group
Ellie Fitzpatrick, Data Governance Manager, Yorkshire Building Society Group
Bethany Lancaster, Senior Data Governance Analyst, Yorkshire Building Society Group
Enterprise
Data
Turning the Telescope - Humans as Data Systems
Mike Culley, Chartered and Occupational Psychologist
Big Data How is Big Data Changing the Paradigm of Sports
Valéry Bollier, CEO, OulalaGames Ltd
11:20-12:10 DW/BI Gaining Business Value from The Internet of Things (IoT) and Critical Human Factors
Len Silverston, President, Universal Data Models
DW/BI The Benefits of a Data Virtualisation Solution: from Data Vault to SuperNova and Beyond
Jos Kuiper, IT Enterprise Architect, Volkswagen Pon Financial Services
Enterprise
Data
It's all Just Data Governance Isn't It?
Garry Manser, Head of Data Governance, Visa Europe
Enterprise
Data
Information Architecture as a Driver for Enterprise Data Integration at Boehringer Ingelheim Pharma
Martin Fleming, Enterprise Architect, Boehringer Ingelheim Pharma GmbH & Co. KG
Rainer Remenyi, Enterprise Architect, Boehringer Ingelheim Pharma GmbH & Co. KG
Big Data Right Sizing Big Data
Michelle Teufel, Strategic Change Leader - Business and Technology Transformation for the Digital Age 
12:10-13:40   Lunch and Exhibit
12:40-13:05 Perspective
Session
Taming the Data Lake
Mark Pritchard, Sales Engineering, Denodo
Perspective
Session
Data Lakes and Master Data Management
Michal Klaus, CEO, Ataccama
13:10-13:35 Perspective
Session
Data Governance - slim and simple
Tomas Barta, Co-founder, SEMANTA
Perspective
Session
To Gain Maximum Business Value Out of Your (BIG) Data
Ed Wrazen, VP Product Management EMEA, Trillium Software
Dominic Tomey, Commercial Director, Trillium Software
13:40-14:30 KEYNOTE Fast Data: The Next Frontier of Big Data
Rick van der Lans, R20/Consultancy
14:35-15:25 DW/BI “Little Data" - Gaining Sustainable Insight Through Self-Service BI
Jan Henderyckx, Managing Partner, Inpuls
DW/BI The Sexiest Job of the 21st Century: How to Become a Data Scientist
Jos van Dongen, Principal Consultant, Tholis Consulting
Enterprise
Data
How to Survive the CEO’s Trough of Disillusionment with Data
Roberto Maranca, Managing Director Enterprise Data, GE Capital
Enterprise
Data
Data Quality – A Different Perspective
Neil Storkey, Independent Consultant
Palash Banerjee, Associate Partner, IBM
Big Data Architectures for Big Data Analytics
Markus Helfert, Senior Lecturer, Dublin City University
15:25-15:50   Break and Exhibit
15:50-16:40 DW/BI Migrating our Enterprise DW from "Traditional" to Data Vault Based
Zoltan Csonka, Head of DW, Generali
Gabor Gollnhofer, Principal Consultant, DMS Consulting
DW/BI Modernising Data Architectures Using Data Virtualization for Agile Data Delivery
Dave Kay, Senior Data Consultant, Zurich UK General Insurance
Enterprise
Data
Data Governance as a Force Multiplier
Lt Col Mike Servaes, Data Strategy, British Army
Enterprise
Data
From Data Blind to Data Funded: The IFC/World Bank Group Story
Gwen Thomas, Corporate Data Advocate, IFC/World Bank Group
Jennifer Trotsko, Head, Data Governance Office, IFC/World Bank Group
Sana Al-Hajj, Manager, IFC/World Bank Group
Big Data Panel: Riding the Elephant: the Governance of Hadoop Environments
Moderator: Brian McKenna, Business Applications Editor, Computer Weekly
Panellists:
Alasdair Anderson, EVP Data Engineering, Nordea Bank
Mike Ferguson, Managing Director, Intelligent Business Strategies
William McKnight, Consultant, McKnight Consulting Group
Luca Olivari, Chief Data Officer, Contactlab
16:45-17:05   Lightning Sessions
Lightning Talks – Given straight after each other - 5 minutes each - A light hearted and fun session!

1) What if Data...., Jan Henderyckx, Inpuls
2) Pie Charts are Evil, Glen Bell, Director, Visual Explanations
3) Speak Up and Thrive, Lee Edwards, Ford Motor Company
4) There is No “Them", Anthony Algmin, Uturn Data Solutions
17:05-17:35 KEYNOTE Data Science and the Panama Papers
Mar Cabra, Editor, Data & Research Unit, International Consortium of Investigative Journalists (ICIJ)
17:35-18:30   Drinks Reception and Exhibit
 

Tuesday
8 November
09:00-09:10

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Joint Conference Chair Introductions
Rick van der Lans, R20/Consultancy
Sue Geuens, DAMA International

Featured Speakers:
Rick van der Lans Rick van der Lans
Managing Director
R20/Consultancy

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  Sue Geuens Sue Geuens
DAMA International

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Tuesday
8 November
09:10-10:00

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KEYNOTE: Leading Digital Strategy – Enterprise Data as an Asset
Sakari Jorma, CDO & CTO, Talenom

Digital commerce has shown tremendous growth figures in recent years, while global penetration is still below 5% of total sales. Mobile commerce, business intelligence and smart infrastructure are key in driving companies and consumers and ways of doing business.  However, simply implementing or using digital technologies is not enough. In general, effective digital strategies are less about acquiring and implementing the right technology than about reconfiguring your business to take advantage of the information these technologies enable.  Companies must bring together varieties of digital technologies integrated across people, process and functions in order to achieve competitive advantage. 

How do you harness data as an asset to prove that Digital strategy works? What are the elements that get the attention of senior leadership?  What are the enablers?:

  • Culture – Understanding Digital strategy & the importance of data and the freedom to experiment. “Failure is always an option” attitude
  • People – Knowledge, expertise, willingness to risk
  • Leadership – Empowerment, understanding, coaching, mentoring and risk taking
  • Purpose – Why do we do this?
  • Vision & strategy

Sakari will explain how EA drives results at Talenom, one of the largest authorized accounting firms in Finland, using the CDO MIS.  The Talenom  CDO Management Information Systems (MIS) focuses on the management of information systems to provide efficiency and effectiveness of strategic decision making including

  • What decisions C-level leaders need to make?
  • What different data elements they need to see?
  • How the operation is steered with the data?

The Talenom Digital Services business unit, headed by Sakari Jorma, is operated via direct connections between MIS capabilities & Business operations. They operate in a conventional – one could argue in an “old fashioned business area”, of accounting. An average Accounting Company in Finland has around 5-7% level of digitalization when it comes to the handling of receipts, taxation, payroll data etc. So far one of Sakari’s main focuses has been automating and digitalizing Talenom’s main processes leading to the digitalization of materials as well. Today they are one of the leading digital accounting companies.  You will hear:

  • How EA data helps them to do this?
  • What standardizations & governance elements are needed?
  • What is the role of Data warehouse, BI and MDM in this?
Featured Speaker:
Sakari Jorma Sakari Jorma
CDO & CTO
Talenom

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CONFERENCE TRACKS
DW/BI
DATA WAREHOUSE/BUSINESS INTELLIGENCE
Enterprise Data
Enterprise Data
Big Data
Big Data
10:25 - 11:15 CONCURRENT SESSIONS

Tuesday
8 November
10:25-11:15

DW/BI

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Strategies for Consolidating Enterprise Data Warehouses and Data Marts into a Single Platform
William McKnight, Consultant McKnight Consulting Group

As companies grow in their realization of the value of information as a strategic asset, a re-evaluation of information architecture maturity and capabilities becomes essential. This has led many to corral their unwieldy, expensive environment into a more manageable and cost-effective infrastructure that produces the elusive bankable company numbers and metrics. During this session, industry expert William McKnight, will highlight key strategies leading edge companies have adopted to reduce the complexity of their data warehouse environment for maximum efficiency.
  • Inefficient Information Architecture
  • Methods of Data Mart Consolidation
  • Many data marts, 1 data warehouse
  • Many data warehouses, 1 data warehouse
  • Choosing survival systems
  • Keys to Data Mart Consolidation Success
Featured Speaker:
William McKnight

William McKnight
Consultant
McKnight Consulting Group

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Tuesday
8 November
10:25-11:15

DW/BI

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Data Management, Analytics and People – An Eternal Golden Braid
Peter Thomas, Head Of Data Management Insurance, peterjamesthomas.com Ltd

The role of Data Management is often shown within a pyramid with analytical techniques, be these Statistical Modelling, Data Visualisation, Big Data or Business Intelligence at the top, supported by a much larger foundational areas of Data Strategy, Data Processes and Information Architecture. This view has many merits, but also two flaws. First it omits an important factor in adding value: people and cultural change. Second these three areas can be thought of as mutually reinforcing rather than as foundational and apex activities. I believe that that the leverage of data to yield information, provide insights and drive action is best achieved via interplay between these three equally important areas. Attendees will learn:
  • The value of making Data Management more people-centric
  • Three mutually reinforcing areas are stronger than a pyramid structure
  • What bringing these three areas together means in practice
Featured Speaker:
Peter Thomas Peter Thomas
Head Of Data Management Insurance
peterjamesthomas.com Ltd

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Tuesday
8 November
10:25-11:15

Enterprise
Data

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Progressing an Enterprise Wide Data Accountability Structure From the Design Stage to Operational Effectiveness – Case Study from Yorkshire Building Society Group
Ellie Fitzpatrick, Data Governance Manager, Yorkshire Building Society Group
Bethany Lancaster, Senior Data Governance Analyst, Yorkshire Building Society Group

Typically there are significant challenges identifying and assigning accountability for data. These include a lack of industry standards and challenges getting buy-in for the concepts and the more complex the organisation, the bigger the challenges are.  However an accountability structure must be defined for data governance to become embedded and operationally successful.  During this case study session the authors will provide insight into the journey at the Yorkshire Building Society Group, sharing lessons learned and practical advice. The session will cover:
  • How to approach the design of an accountability structure for data
  • Leveraging the development of a Data Dictionary to embed the accountability structure at YBS
  • Navigating out of the inevitable troughs that occur during the implementation journey
Featured Speakers:
Ellie Fitzpatrick Ellie Fitzpatrick
Data Governance Manager
Yorkshire Building Society Group

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  Bethany Lancaster Bethany Lancaster
Senior Data Governance Analyst
Yorkshire Building Society Group

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Tuesday
8 November
10:25-11:15

Enterprise
Data

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Turning the Telescope - Humans as Data Systems
Mike Culley, Chartered and Occupational Psychologist

This presentation gives a new insight into how we can gain a different and deeper understanding of the dynamics of many human groups – such as teams, organizations and even whole societies – by changing our perspective and viewing them as systems both containing and using information, and affected by the availability, flow, and quality of data within the system.

How is data used as a resource in the real world of human interaction? How do data silos, flows, errors and redundancies cause changes in behaviour and interactions? What could psychology learn from data management, and vice versa? We’ll be looking at these aspects, and more.

The presentation is designed to be engaging, and enjoyable – mixing a little light humour with real thought provoking ideas about both humans and data management in a unique context.

Featured Speaker:
Mike Culley Mike Culley
Chartered and Occupational Psychologist

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Tuesday
8 November
10:25-11:15

Big Data

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How is Big Data Changing the Paradigm of Sports
Valéry Bollier, CEO, OulalaGames Ltd

During the last World Cup, three companies made predictions on the results of the final phase of fifteen matches. They were demonstrating the ability of their advanced technology to predict the outcome of football matches. Microsoft and Baidu correctly predicted all fifteen results while Google made only one mistake...  How were they able to make such accurate predictions? They crunched and analysed large numbers of historic results - what we call "big data" - and used that analysis to make their successful predictions.  It seems reasonable, therefore, to ask ourselves whether big data is changing the paradigm of the sports industry?

European football teams have started to use statistics much more over the last decade and the methods are becoming more and more sophisticated. The first club in the Premier League to do so were Bolton Wanderers and just a few years later almost every club in the top flight are using statistics to monitor player performance.  It therefore seems that big data is genuinely changing sport, but it is also changing the games that are based on sports, for instance fantasy sports.  Key learning points:

  • How Big Data is changing the way we watch sports and interact with sports clubs
  • The importance of Big Data for skill games
  • The role of Big Data in traditional sports betting vs. fantasy sports betting
Featured Speaker:
Valéry Bollier Valéry Bollier
CEO
OulalaGames Ltd

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11:20 - 12:10 CONCURRENT SESSIONS

Tuesday
8 November
11:20-12:10

DW/BI

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Gaining Business Value from The Internet of Things (IoT) and Critical Human Factors
Len Silverston, President, Universal Data Models

Realizing business value from the coming wave of Internet of Things (IoT) capabilities can be confusing when it affects your core business, adds new opportunities for expansion, and taxes your abilities to manage complex architectures. Understand how to formulate a winning approach that covers the bases, giving you the ability to execute and generate value and competitiveness in this new arena.  This session focuses on the most important factors for success in IoT, namely: how to link IoT to meaningful business objectives to create business value; how to maneuver through the politics; how to develop a strategy that makes sense; and how to handle the inevitable scenarios, challenges, and conflicts that occur in this environment.

Come to this session and understand the critical factors, take back tools and frameworks regarding organizational management in IoT, and learn how to succeed in a field with the potential to disrupt all the current business models as we know them.  You Will Learn:

  • The five key areas to focus on immediately in preparing for IoT
  • A framework to understand business needs, along with how it can help prioritize your needs
  • How to start formulating a strategy for IoT
  • How to address key issues in IoT such as privacy, security, and control using a trust framework
  • What inevitably happens in these types of efforts and how to address situations using proven and effective conflict management models
Featured Speaker:
Len Silverston Len Silverston
President
Universal Data Models

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Tuesday
8 November
11:20-12:10

DW/BI

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The Benefits of a Data Virtualisation Solution: from Data Vault to SuperNova and Beyond
Jos Kuiper, IT Enterprise Architect, Volkswagen Pon Financial Services

How can we improve agility in preparing data for end-users and for information products, like reports, dashboards etc.?  For this purpose a proof of concept with a data virtualization solution was performed. Jos investigated the benefits of a data virtualisation solution on top of a Data Vault Data Warehouse. In this proof of concept also the capability of the data virtualization solution to combine historic data, stored  in the Data Vault, with live data stored in  back-office systems, was subject of investigation.  In this presentation there will also be a brief introduction to the data modelling methods Data Vault and SuperNova. Key take aways:
  • The benefits of a data virtualisation solution.
  • The fit of data virtualization in a BI/Dwh architecture.
  • Unexpected benefits…..
Featured Speaker:
Jos Kuiper Jos Kuiper
IT Enterprise Architect
Volkswagen Pon Financial Services

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Tuesday
8 November
11:20-12:10

Enterprise
Data

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It's all Just Data Governance Isn't It?
Garry Manser, Head of Data Governance, Visa Europe

We think of Data Governance as being formulaic, linked to static frameworks and based on well thought out theory. But does that work in the real world. Having worked in a number of organisations Garry has found that whilst the theory works, in practical terms you have to be more fluid. This presentation will look at the differing views of Data Governance he has encountered and the ways he has looked to align with them and still deliver a successful program, it will also look at some of the mistakes that he and others have made and the impact they have had on the projects. In this session Garry will look to show that:
  • Data Governance is not a "one size fits all solution", it has to meet the aims of the organisation
  • The ways Data Governance can be delivered are adaptable and fluid
  • Real world examples of both good and bad implementations
Featured Speaker:
Garry Manser Garry Manser
Head of Data Governance
Visa Europe

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Tuesday
8 November
11:20-12:10

Enterprise
Data

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Information Architecture as a Driver for Enterprise Data Integration at Boehringer Ingelheim Pharma
Martin Fleming, Enterprise Architect, Boehringer Ingelheim Pharma GmbH & Co. KG
Rainer Remenyi, Enterprise Architect, Boehringer Ingelheim Pharma GmbH & Co. KG

Boehringer Ingelheim is a Research driven pharmaceutical company that has a complex value chain reaching from discovery research to market supply. The different parts of this value chain have been supported by business units acting quite independently from each other including the way they were handling their data. The company underwent a transformation towards a more integrated approach, e.g. Research and Development units were combined in an Innovation Unit. This session describes how Information Architecture creates a foundation to succeed on an Enterprise Data level.  This session will outline the strategy; lessons learned how these activities are put in place.
  • How does Information Architecture support and drive the transformation of the company on an Enterprise Data level?
  • What are the achievements?
  • Where are the pitfalls?
Speakers:
Martin Fleming Martin Fleming
Enterprise Architect
Boehringer Ingelheim Pharma
GmbH & Co. KG

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  Rainer Remenyi Rainer Remenyi
Enterprise Architect
Boehringer Ingelheim Pharma
GmbH & Co. KG

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Tuesday
8 November
11:20-12:10

Big Data

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Right Sizing Big Data
Michelle Teufel, Strategic Change Leader - Business and Technology Transformation for the Digital Age 

Data of all volumes, BIG and SMALL, and, the information it represents is the very life blood of an organisation in today's digital world. In addition to being generated as a result of our operational activities, our increasing use, restructuring, transformation and analysis of that data is creating yet more data. This session will discuss
  • Implications of this reality in helping business come to terms with what actions to take and in what order the create a data ecosystem that is sustainable and valuable.
  • Practicalities to be considered and thought through
  • Opportunities for quick wins to help gain support for investment where needed
Featured Speaker:
Michelle Teufel Michelle Teufel
Strategic Change Leader - Business and Technology Transformation for the Digital Age 

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12:40 - 13:05 Perspective Sessions

Tuesday
8 November
12:40-13:05

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Taming the Data Lake
Mark Pritchard, Sales Engineering, Denodo

Big Data technologies offer a way of consolidating the continual flow of raw data generated from interactions between the enterprise and the external world, and internally within the enterprise. While consolidation of data into a Data Lake seems a good way of harnessing this stream of data, it poses several challenges that can reduce the effectiveness of turning this raw data into an enterprise usable asset. This session highlights how Data Virtualization is being used to tame the turbulent nature of data lakes, improving enterprise readiness, providing access to enterprise relevant data quickly and cost effectively. This will be illustrated with two case studies of data virtualization deployed in this context.
Featured Speaker:
Mark Pritchard Mark Pritchard
Sales Engineering
Denodo 

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Tuesday
8 November
12:40-13:05

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Data Lakes and Master Data Management
Michal Klaus, CEO, Ataccama

Ever expanding data volumes and a growing number of data formats and input streams are just a way of life for most midsize and large organizations. Data Lakes are one of the new concepts that seem to be gaining traction, providing benefits from pure processing power and scalability, excellent price to performance ratio, and unprecedented capacity. This translates to business benefits such as dramatically shortened go-to-market times for new products, an individual approach to customers or micro segments, ability to build customer and risk profiles from relevant data sources, etc. This session will discuss new challenges brought by the Data Lakes and how MDM can help.
Featured Speaker:
Michal Klaus Michal Klaus
CEO
Ataccama

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13:10 - 13:35 Perspective Sessions

Tuesday
8 November
13:10-13:35

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Data Governance - slim and simple
Tomas Barta, Co-founder, SEMANTA

I've come to the conclusion that the biggest trap facing DG initiatives is how complex they quickly become. Did your DG initiative get stuck because there were too many processes, policies, procedures or committees and too little progress? Why not take a different direction and start from solid ground with solid results?

I am going to present you with our "think less, do more" concept that can make your Data Governance actionable and work across your whole company or business.

Featured Speaker:
Tomas Barta Tomas Barta
Co-founder
SEMANTA

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Tuesday
8 November
13:10-13:35

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To Gain Maximum Business Value Out of Your (BIG) Data
Ed Wrazen, VP Product Management EMEA, Trillium Software
Dominic Tomey, Commercial Director, Trillium Software

Your business depends on business analysts with smart analytical skills to make accurate decisions and gain new insights from enterprise and external data. However too much of their valuable time is lost struggling to access, merge or fix complex (big) data before it can be combined with the existing data environment of the organisation. According to Forrester Research, 38% of business analysts spend more than 30% of their time validating and fixing data. Learn how to eliminate the time-consuming burdens of data preparation and data validation by automatically refining business information for your specific needs. Thus ensuring consistent, complete and integrated quality data.
Featured Speakers:
Ed Wrazen Ed Wrazen
VP Product Management EMEA
Trillium Software

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  Dominic Tomey Dominic Tomey
Commercial Director
Trillium Software

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Tuesday
8 November
13:40-14:30

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KEYNOTE: Fast Data: The Next Frontier of Big Data
Rick van der Lans, R20/Consultancy

In the first stage of big data adoption, the focus was primarily on storing and analyzing massive amounts data. The focus was completely on volume. Currently, organizations have started to enter the second stage of big data: fast data. Fast data is about streaming massive amounts of data and analyzing that same data instantaneously. It’s the next frontier of big data. It’s especially the Internet of Things (IoT) that’s pushing fast data. The IoT is about connecting devices to devices across the Internet. The stream of data these intercommunicating devices can generate is massive. In these massive data streams valuable business insights can be hidden, deeply hidden. The business value of the IoT is in analyzing this data. Unfortunately, analyzing IoT data is not similar to analyzing enterprise data for which data warehouses can be developed and easy-to-use data visualization tools can be deployed. For example, IoT data is very cryptic data and to make sense of it, it has to be integrated with enterprise data residing in the enterprise data warehouse. Also, data has to be analyzed real-time, and sometimes even before it’s stored, and a reaction may be required instantly. It’s a new world. This keynote discusses the architectural aspects of the IoT, guidelines on how to adopt IoT, and how to integrate IoT with an existing business intelligence environment.
  • How does fast data relate to the classic world of business intelligence and data warehousing?
  • A new architecture is required for the IoT
  • Technologies involved in analyzing the IoT data stream
  • How to integrate IoT data with data from the enterprise data warehouse
  • The challenge of reacting real-time on incoming IoT data
  • What is the relationship between Big Data and the IoT?
Featured Speaker:
Rick van der Lans Rick van der Lans
R20/Consultancy

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14:35 - 15:25 CONCURRENT SESSIONS

Tuesday
8 November
14:35-15:25

DW/BI

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“Little Data" - Gaining Sustainable Insight Through Self-Service BI
Jan Henderyckx, Managing Partner, Inpuls

Having a data lab up and running does not equal a sustainable integration into the operational and strategic fabric an organisation. Big Data and Analytics are omni-present in many organisations and the mantra of statistical relevance is often used as an excuse for neglecting “little” data. Even if all your big data is accessible in your data lake you still need to understand what the data relates to. Without context you just have a huge pile of data points.

The little data, data that has a life cycle and that describes the related business concepts, will provide the context that allows you to obtain actionable insights. Proper management of the life-cycle of the business entities and their relationships will therefore give a significant boost to your business outcomes. Unfortunately, many master - and reference data management (MDM/RDM) projects are not providing the benefits that are anticipated. 

This session will give you practical advice to setup your data management and information governance in such a way that you can get maximum value out of your data without increasing your liabilities.

  • Setting the scene: Defining a sustainable Information centric organisation
  • Drowning in the data lake or having a breach? Information and Data Governance as a safeguard
  • MDM and RDM design principles 
  • Bringing the proper life-cycle management into your organisation?
  • Architecting the conform dimensions
Featured Speaker:
Jan Henderyckx Jan Henderyckx
Managing Partner
Inpuls

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Tuesday
8 November
14:35-15:25

DW/BI

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The Sexiest Job of the 21st Century: How to Become a Data Scientist
Jos van Dongen, Principal Consultant, Tholis Consulting

Most organizations are at least getting their feet wet when it comes to ‘Big Data’ and ‘Predictive Analytics’, hoping to reap all the benefits the trade press is full of. But many still struggle to understand what data science is all about, how and when it makes sense to hire data scientists, how to embrace and incorporate analytical thinking and how to translate that into useable information products and insights. This session will explain what data science is and how organizations like e-tailers, railroads, banks, insurance companies and governments use data science to improve their services, increase their revenue or engage customers. 
Featured Speaker:
Jos van Dongen Jos van Dongen
Principal Consultant
Tholis Consulting

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Tuesday
8 November
14:35-15:25

Enterprise
Data

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How to Survive the CEO’s Trough of Disillusionment with Data
Roberto Maranca, Managing Director Enterprise Data, GE Capital

Roberto will discuss how Data Executives can construct a compelling story and influence their peers to advance new innovative business strategies. He will make you understand what the role requires and the critical skills needed to bridge the gap between data, technology and strategy to execute Change. He will cover how you should use communicative skills internally in order to market Data Management to all the firms levels and grab any opportunity to foster adoption. You need to build an enterprise wide vision to establish common goals and cohesion for sustainable and beneficial business transformation.
Featured Speaker:
Roberto Maranca Roberto Maranca
Managing Director Enterprise Data
GE Capital

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Tuesday
8 November
14:35-15:25

Enterprise
Data

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Data Quality – A Different Perspective
Neil Storkey, Independent Consultant
Palash Banerjee, Associate Partner, IBM

You want to have Data Quality reporting available across the company but cannot justify the upfront cost and ongoing outlay to your management.  Neil and Palash will present the journey from conception to delivery of a ‘pay as you go’ Data Quality Service.  A pioneering approach to the delivery of data quality reporting based on Cloud infrastructure outsourced resourcing through a workflow enabled governance process.  This session will focus on:
  • The initial concept
  • Design
  • The final product
  • Challenges faced
Featured Speakers:
Neil Storkey Neil Storkey
Independent Consultant

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  Palash Banerjee Palash Banerjee
Associate Partner
IBM

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Tuesday
8 November
14:35-15:25

Big Data

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Architectures for Big Data Analytics
Markus Helfert, Senior Lecturer, Dublin City University

Data is the raw ore whose transformation yields the currency of this capricious information economy. Unlike metals hewn from the earth, new data rushes into the modern world from a swiftly increasing array of sources in a welter of forms from personal devices, cars, buildings, cities and an exponentially increasing array of sources that are becoming smarter with each passing iteration. As raw data resources proliferate around us, information architectures to accommodate its transportation, aggregation and transformation into information products have become acutely important to organizations of all stripes around the world.  In this presentation, we will explore the essential characteristics of information architectures to generate decision options from complex, heterogeneous and unstructured data sources, and discuss some examples of high-performance analytic systems.  What attendees will learn:
  • Challenges inherent in big data volume, velocity and variety
  • Architectural approaches to decision support for big data
  • Information Quality Challenges related to Big Data
  • Examples of big data analytics system implementations
Featured Speaker:
Markus Helfert Markus Helfert
Senior Lecturer
Dublin City University

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15:50 - 16:40 CONCURRENT SESSIONS

Tuesday
8 November
15:50-16:40

DW/BI

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Migrating our Enterprise DW from "Traditional" to Data Vault Based
Zoltan Csonka, Head of DW, Generali
Gabor Gollnhofer, Principal Consultant, DMS Consulting

Generali Hungary built its first Data Warehouse more than 15 years ago. Since then they have changed/reorganized its major parts three times. Because of changes in the internal & external environment they had to change their ETL tool (again). Last year they decided to do a complete reorganisation including their ETL & modelling tools, development processes and to move to Data Vault based modelling. Of course, they had to do this in a short time period with limited internal & external staff. The old and new DW had to work together, so that the major processes could be migrated one-by-one.  In the session we will share our experience on EDW migration, specifically:
  • Why we had to move from our existing architecture & why we’ve chosen to use Data Vault
  • What were the pain points, pitfalls and solutions
  • What are the results & what we’ve learnt during this project
Featured Speakers:
Zoltan Csonka Zoltan Csonka
Head of DW
Generali

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  Gabor Gollnhofer Gabor Gollnhofer
Principal Consultant
DMS Consulting

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Tuesday
8 November
15:50-16:40

DW/BI

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Modernising Data Architectures Using Data Virtualization for Agile Data Delivery
Dave Kay, Senior Data Consultant, Zurich UK General Insurance

In this case study Dave will provide a profile of the global insurer Zurich and it's status in the market. He will then describe the many challenges and threats it is facing in the Insurance market which means that it must respond at pace, which is a challenge for any large traditional insurance provider. Dave will explain how Zurich needs to rapidly deploy existing data assets and leverage new sources. He will show how we have achieved this with a modern data architecture which strongly leverages data virtualization.  Key takeaways are:
  • Explaining how the critical business challenges being faced by a large insurance company are mostly all about data
  • Providing a detailed explanation of at least one case study on how we are solving that
  • Explaining how this initially tactical use case(s) can provide a strategic way forward to modernising a data architecture
Featured Speaker:
Dave Kay Dave Kay
Senior Data Consultant
Zurich UK General Insurance

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Tuesday
8 November
15:50-16:40

Enterprise
Data

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Data Governance as a Force Multiplier
Lt Col Mike Servaes, Data Strategy, British Army

On a personal basis Mike has travelled the circle from Data Governance is a good thing……because it is, through it is not really required and is just an additional cost and delay in the process of using data to a position where Data Governance is an enabler in gaining value from the data an organisation collects etc. This case study will look at the effect of governance for its own sake and then look at how organisations and the British Army in particular are using Data Governance to derive value. In the case of the Army the presentation will look at the differences in approach between and organisation that is seeking to monetise or gain additional profit from its data to an organisation that is seeking to gain addition effect. The Army will seek to gain additional effect from its tax pounds and when operating in an operational context to use the information it gains to multiply its effect on the ground. There will also be a nod to the requirements for all Armed Forces operating in a Joint or multinational environment to combine their data to increase their effectiveness and the Data Governance required for that.
  • Look at Data Governance Journey
  • Understand differing approach between monetisation and Force Multiplication
  • The Army experience
Featured Speaker:
Lt Col Mike Servaes Lt Col Mike Servaes
Data Strategy
British Army

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Tuesday
8 November
15:50-16:40

Enterprise
Data

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From Data Blind to Data Funded: The IFC/World Bank Group Story
Gwen Thomas, Corporate Data Advocate, IFC/World Bank Group
Jennifer Trotsko, Head, Data Governance Office, IFC/World Bank Group
Sana Al-Hajj, Manager, IFC/World Bank Group

Every organization has a process for funding technology projects. But what about data work? What about foundational efforts, governance, and tasks that project managers may be blind to? What about data maintenance and improvement activities that don’t map easily to projects? This is the story of IFC (the private sector arm of the World Bank Group), who in 2 ½ years went from “invisible” data needs to a well-funded, interdependent set of projects and work plans. Attendees will learn:
  • How a small team of individuals were able to influence the organization’s approach to executing and funding data work
  • The carefully aligned strategy they employed, and how it involved Data Management, Data Governance, Business Intelligence, Security, Auditing, IT Governance, and IT Portfolio Management
  • 5 funding models, and when each was deployed
Featured Speakers:
Gwen Thomas Gwen Thomas
Corporate Data Advocate
IFC/World Bank Group

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  Jennifer Trotsko Jennifer Trotsko
Head, Data Governance Office
IFC/World Bank Group

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Sana Al-Haj Sana Al-Hajj
Manager
IFC/World Bank Group

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Tuesday
8 November
15:50-16:40

Big Data

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Panel: Riding the Elephant: the Governance of Hadoop Environments
Moderator: Brian McKenna, Business Applications Editor, Computer Weekly
Panellists:
Alasdair Anderson, EVP Data Engineering, Nordea Bank
Mike Ferguson, Managing Director, Intelligent Business Strategies
William McKnight, Consultant, McKnight Consulting Group
Luca Olivari, Chief Data Officer, Contactlab

The Hadoop family of open source technologies has been maturing in recent years. It has spawned many and varied instances in companies and organisations, mostly departmental, even siloed in nature, sometimes more central and strategic. Security has been something of a non-issue, and so, too, governance.
  • How can Hadoop data pools or lakes be incorporated into well-governed enterprise data systems disciplined by master data management programmes? Should they be?
  • Do big data technologies pose problems of a qualitatively different kind to those of more traditional data warehouses, data marts, and relational databases more generally?
  • Does the governance of unstructured data repositories, and of the analytics performed using them need, perforce, to be lighter in touch?
  • And what of the organisational design problems posed by Hadoop? Does it call into being a chief data officer? Does it entail building a data science team, and, if so, of what kind so as to deliver business value?

This session will address these and other questions, from technical, legal, commercial and organisational politics points of view.

Moderator:
Brian McKenna Brian McKenna
Business Applications Editor
Computer Weekly

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Panellists:
Alasdair Anderson Alasdair Anderson
EVP Data Engineering
Nordea Bank

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  Mike Ferguson Mike Ferguson
Managing Director
Intelligent Business Strategies

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William McKnight William McKnight
Consultant
McKnight Consulting Group

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  Luca Olivari Luca Olivari
Chief Data Officer
Contactlab

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Tuesday
8 November
16:45-17:05

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Lightning Sessions
Lightning Talks – Given straight after each other - 5 minutes each - A light hearted and fun session!

1) What if Data...., Jan Henderyckx, Inpuls
2) Pie Charts are Evil, Glen Bell, Director, Visual Explanations
3) Speak Up and Thrive, Lee Edwards, Ford Motor Company
4) There is No “Them", Anthony Algmin, Uturn Data Solutions

 

Tuesday
8 November
17:05-17:35

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KEYNOTE: Data Science and the Panama Papers
Mar Cabra, Editor, Data & Research Unit, International Consortium of Investigative Journalists (ICIJ)

The trove of files that make up the Panama Papers is likely the largest dataset of leaked insider information in the history of journalism.  Mar will discuss the unique challenges that ICIJ’s Data and Research Unit encountered in analyzing this data. The overall size of the data (2.6 terabytes, 11.5 million files), the variety of file types (from spreadsheets, emails and PDFs to obscure and old formats no longer in use), and the logistics of making it all securely searchable for more than 370 journalists around the world are just a few of the hurdles they faced over the course of the 12 month investigation.
Featured Speaker:
Mar Cabra Mar Cabra
Editor, Data & Research Unit
International Consortium of Investigative Journalists (ICIJ)

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Tuesday
8 November
17:35-18:30

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Drinks Reception and Exhibit