Keynotes 8 & 9 November 2016

Tuesday
8 November
09:10-
10:00
KEYNOTE: Leading Digital Strategy – Enterprise Data as an Asset
Sakari Jorma, Chief Digital Officer – CTO, Talenom
Tuesday
8 November
13:40-
14:30
KEYNOTE: Fast Data: The Next Frontier of Big Data
Rick van der Lans, R20/Consultancy
Tuesday
8 November
17:05-
17:35
Data Science and the Panama Papers
Mar Cabra, Editor, Data & Research Unit, International Consortium of Investigative Journalists (ICIJ)
Wednesday
9 November
09:00-
10:00
KEYNOTE: Scaling out Data Operations in a Global Bank
Alasdair Anderson, EVP Data Engineering Nordea Bank
Bert Oosterhof, EMEA Field CTO, Trifacta
Richard Harmon, Director, EMEA Financial Services, Cloudera
Wednesday
9 November
15:50-
16:50
CLOSING KEYNOTE: You Can Take It With You
Graeme Simsion, International Best-Selling Novelist (and Former Data Modeller)   

Tuesday 8 November
09:10-10:00

KEYNOTE: Leading Digital Strategy – Enterprise Data as an Asset
Sakari Jormaf Sakari Jorma
Chief Digital Officer – CTO
Talenom

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Keynote Outline

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?

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Tuesday 8 November
13:40-14:30

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

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Keynote Outline

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?

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Tuesday 8 November
17:05-17:35

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

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Keynote Outline

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.

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Wednesday 9 November
09:00-10:00

KEYNOTE: Scaling out Data Operations in a Global Bank
Alasdair Anderson Alasdair Anderson
EVP Data Engineering
Nordea Bank

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  Bert Oosterho Bert Oosterhof
EMEA Field CTO
Trifacta

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Richard Harmon Richard Harmon
Director, EMEA Financial Services
Cloudera

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Keynote Outline

The demand for data has never been higher and the supply provided by traditional EDW platforms is as constrained as it ever was. Many enterprises have realised that without leveraging the power of Big Data technology enterprises will fail to meet the demands of customers, executive and external regulators.

In this presentation Alasdair Anderson, EVP Data Engineering Nordea Bank will discuss the evolution Data Architecture from EDW through Hadoop 1.0 to the Enterprise Data Hub. The Enterprise Data Hub now forms the data backbone of the bank providing data that support core regulatory, compliance and finance reporting.

  • What is an Enterprise Data Hub?
  • How is Business Data Operations supported on the Enterprise Data Hub?
  • How can change be executed on a scale out platform to deliver improved data quality

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Wednesday 9 November
15:50-16:50

Closing Keynote: You Can Take It With You
Graeme Simsion Graeme Simsion
International Best-Selling Novelist (and Former Data Modeller) 

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Keynote Outline

Graeme Simsion’s career has taken him from computer operator, to programmer, DBA, data modeller, data manager, IT strategist, consultancy manager, business facilitator and, more recently, Hollywood screenwriter and New York Times best-selling novelist. Graeme will talk about the generic skills in design, management and consulting that have helped him make the transitions and continue to be at the core of his work.   You will learn:

  • The practices most critical to implementing BI / ED initiatives – and writing a bestselling novel
  • The key strategies for winning support
  • The most valuable and portable skills to invest in

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