4 November 2015 - Conference Day 2 and Exhibits

08:15-08:45   Data Governance Best Practices
John Ladley, President, IMCue Solutions
09:00-10:00 KEYNOTE The Case for the Chief Data Officer: Thinking Differently about Data Assets
Peter Aiken, Data Blueprint and VCU
10:00-10:30   Break and Exhibits
10:30-11:20 DW/BI Advanced and Predictive Analytics for the Smart Enterprise
Mike Ferguson, Managing Director, Intelligent Business Strategies
DW/BI It’s Time for the Logical Data Warehouse
Rick van der Lans, R20/Consultancy
Enterprise
Data
Data Quality and Data Governance are the Foundations to a Customer Driven Company
Louise Miller, Head of UK Customer Data, Standard Life
Enterprise
Data
Service Associations - What's The Point?
John Daniels, Data Delivery Lead, Business Architecture, United Utilities
Matt Beare, Beare Essentials Ltd
Big Data Turn Big Data into Business Success
Martha Bennett, Principal Analyst BI/Big Data, Forrester
11:25-12:15 DW/BI On Data Lakes, Reservoirs and Possible Swamps
Barry Devlin, Founder and Principal, 9sight Consulting
DW/BI R as a Business Intelligence Tool - A Case Study from the Insurance Industry
Mark Chisholm, Actuarial Analyst, XL Catlin
Enterprise
Data
The Power of Open Data
Jason Perkins, Decision Support Chief Architect, BT
Enterprise
Data
Is the Data asset REALLY Different?
Chris Bradley, Information Strategist, Independent Consultant & DAMA
Big Data Harnessing Big Data for Revenue Growth
Mark Woodward, Analytics & Insights Manager, Intel
12:15-13:45   Lunch and Exhibit
12:45-13:10 Industry
Innovation
Session
Big Data and the Data Quality Imperative
Ed Wrazen, VP Product Management, Big Data, Trillium Software
Industry
Innovation
Session
Is Master Data Management on Big Data an Essential Prerequisite for Advanced Analytics?
Roman Kucera, Head of Technology and Research, Ataccama
13:15-13:40 Industry
Innovation
Session
One Size Doesn’t Fit All – Dashboards for Strategic, Operational & Analysis Needs
Peter Baxter, Managing Director - EMEA, Yellowfin
Industry
Innovation
Session
Data Governance - a Practical Approach
Tomáš Mátl, Billigence Europe
13:45-14:45 KEYNOTE The Multi–Skilled Influencer – Getting Out of the Data Box to Achieve Data Management Goals
Alec Sharp, Senior Consultant, Clariteq Systems Consulting
14:50-15:40 DW/BI Case Study – High Performance Cloud-Based Search, Data Management and Analysis at the Copyright Licensing Agency
Adam Sewell, IT Director, The Copyright Licencing Agency
Nathaniel Suda, Consulting Director, Advanced 365
DW/BI Ask the Expert
Moderator: Rick van der Lans, R20/Consultancy
Panellists:
John Ladley, President, IMCue Solutions
Barry Devlin, Founder and Principal, 9sight Consulting
Enterprise
Data
Group Hugs and How They Help Your Career
Enterprise
Data
Case Study: HR Test System - Data, Data Consistency and Privacy & Data Management
Rafal Kosinski, Expert, Data Manager, Roche
Big Data A New Data Science Economy
Jon Woodward, Business Lead – BI & Analytics, Microsoft
15:40-16:10   Break and Exhibits
16:10-17:00 DW/BI When is a Data Warehouse Not Really a Data Warehouse?
John Ladley, President, IMCue Solutions
DW/BI Why You Need a Data Governance Strategy to Support your BI
Nicola Askham, The Data Governance Coach
Enterprise
Data
An Enterprise Data Approach to Addressing
Simon Barlow, Head of Information Management, GeoPlace
Enterprise
Data
Creating a Sustainable Analytics and Insight Environment
Jan Henderyckx, Managing Partner, Inpuls
Big Data Legal Analysis of Managing Big Data
Barry Connolly, Solicitor, Flynn O'Driscoll Business Lawyers
17:05-17:15   Conference Close
Rick van der Lans, R20/Consultancy
Sue Geuens, DAMA International
 

Wednesday
4 November
08:15-08:45

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Data Governance Best Practices
John Ladley, President, IMCue Solutions

One of the many questions the Data Governance Professionals Organization (DGPO) receives from members is ‘What are some of the data governance best practices?’.  To answer that question, a dedicated DGPO working group of experienced DG professionals have been working on enhancing the initial list of DG best practices. Over the last six months the group has brainstormed additional best practices and have worked together to expand on the information. Join John Ladley, Advisor to the DGPO on Nov. 4th learn about some of the top DG Best Practices.    Since the founding of the DGPO in 2011 the group has grown to over 5,000 list members, 1200 members representing over 300 companies and 16 countries.
Featured Speaker:
John Ladley John Ladley
President, IMCue Solutions

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Wednesday
4 November
09:00-10:00

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KEYNOTE: The Case for the Chief Data Officer: Thinking Differently about Data Assets
Peter Aiken, Data Blueprint and VCU

Reflections on Chief Information Officers (CIOs), combined with decisive performance measurements, indicate that IT management has been asked to do a job that it cannot do well.  Data are assets that deserve to be managed as professionally and aggressively as comparable organizational assets.  Studies show that approximately 10% of organizations achieve a positive return on their investments in data.  In the face of the accelerating "data explosion," this leaves most organizations unprepared to leverage a non-degrading, strategic asset.  The redress assigns this vital, lacking function to its rightful owner and driver, the business.  Transformation may require some organizational discomfort.  We are confident organizations that successfully create CDOs will achieve improved organizational performance results.  And further that these will directly and obviously come from better organizational data management stemming from the CDO leadership. 

Delegates will learn why the CDO should be:

  • Dedicated solely to Data Asset Leveraging
  • Unconstrained by an IT Project Mindset
  • Reporting directly to the Business
Featured Speaker:
Peter Aiken Peter Aiken
Data Blueprint and VCU

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CONFERENCE TRACKS
DW/BI
DATA WAREHOUSE/ BUSINESS INTELLIGENCE
Enterprise Data
Enterprise Data
Big Data
Big Data
 10:30 - 11:20 CONCURRENT SESSIONS

Wednesday
4 November
10:30-11:20

DW/BI

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Advanced and Predictive Analytics for the Smart Enterprise
Mike Ferguson, Managing Director, Intelligent Business Strategies

For most organisations, using descriptive BI to look at past business activity is no longer enough. The demand is now for deeper insight to predict the future and to guide the business into making the right decisions. This session looks at how organisations can use predictive analytics and incorporate them into existing environments
  • An introduction to advanced and predictive analytics
  • Types of analytic algorithms and their uses
  • The importance of data preparation
  • Approaches to using advanced and predictive analytics, e.g. in-database, in-Hadoop, in-stream and in-memory
  • Using analytics in self-service BI tools and analytics applications via predictive APIs
  • Big Data analytics use cases
  • Getting started – do’s and don’ts, model management, alignment with business objective and organisational issues
Featured Speaker:
Mike Ferguson Mike Ferguson
Managing Director
Intelligent Business Strategies

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Wednesday
4 November
10:30-11:20

DW/BI

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It’s Time for the Logical Data Warehouse
Rick van der Lans, R20/Consultancy

A few years ago, no one talked about the logical data warehouse, and suddenly the topic pops up everywhere and receives a lot of attention. Organizations are starting to understand its business value. A logical data warehouse, as opposed to the classic data warehouse, is more suitable to support the BI requirements of today. It can more easily handle big data, support managed self-service BI, offers more rapid report development, is much more agile, and so on. This session presents an overview of what the logical data warehouse is, and what the advantages and applications areas are. Also, a migration path is discussed to get from the existing architectures to this new architecture.
Featured Speaker:
Rick van der Lans Rick van der Lans
R20/Consultancy

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Wednesday
4 November
10:30-11:20

Enterprise
Data

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Data Quality and Data Governance are the Foundations to a Customer Driven Company
Louise Miller, Head of UK Customer Data, Standard Life

To deliver their strategic objective to become a customer driven company, Standard Life  needs to deliver unique, differentiated customer experiences, informed by greater understanding of what customers need now and in the future, and what part Standard Life can play in shaping their journey for them.   Delivering this experience requires robust, holistic and dynamic data, available for all those who require it, which can respond to the needs of the business to deliver key insights and drive customer understanding.  Data quality and data governance are the foundations to the success of this programme.  Standard Life’s key objectives are to drive:
  • Improved customer experience
  • Improved business decision making
  • Reduce risk
  • Reduce costs
Featured Speaker:
Louise Miller Louise Miller
Head of UK Customer Data
Standard Life

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Wednesday
4 November
10:30-11:20

Enterprise
Data

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Service Associations - What's The Point?
John Daniels, Data Delivery Lead, Business Architecture, United Utilities
Matt Beare, Beare Essentials Ltd

To deliver an improved experience for their Customers United Utilities have two over-arching strategies:
  • Improved knowledge base for their Customers and where they are located
  • Improved knowledge base of their Assets and the service they provide.

The additional strategic link is to effectively manage which assets serve which customers for what purpose.

This will enable United Utilities to –

  • Provide a consistent link between customers and assets
  • Trace up and down the service chain to manage the impact assessment of planned works and respond proactively to service incidents
  • Provide greater insight into strategic investment programmes

In this presentation John and Matthew will look to

  • Discuss the data enrichment needs and the location aware methodology they have adopted to deliver this strategy, and
  • Demonstrate examples of how that data can then be used to the advantage of the business and the benefit of the Customer.
Featured Speakers:
John Daniels John Daniels
Data Delivery Lead, Business Architecture
United Utilities

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  Matt Beare Matt Beare
Beare Essentials Ltd

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Wednesday
4 November
10:30-11:20

Big Data

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Turn Big Data into Business Success
Martha Bennett, Principal Analyst BI/Big Data, Forrester

What's so big about big data? Vendors use the term for marketing, while buyers think of a new project or digital technology. Forrester defines big data as the practices and technologies that close the gap between the data available and the ability to turn that data into business insights.

Closing that gap and achieving long-term success requires you to think and act differently. You must find ways to become more predictive, so that you can serve empowered customers.

Join Martha to learn what impact the big data explosion will have on your business, what the real opportunities and risks are, and how you can become more predictive to better serve your customers.

Featured Speaker:
Martha Bennett Martha Bennett
Principal Analyst BI/Big Data
Forrester

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 11:25 - 12:15 CONCURRENT SESSIONS

Wednesday
4 November
11:25-12:15

DW/BI

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On Data Lakes, Reservoirs and Possible Swamps
Barry Devlin, Founder and Principal, 9sight Consulting

New technology, especially in the Hadoop space, has become increasingly popular in recent years. To make sense of these tools, vendors, consultants and customers have begun to sketch architectures to position and fit the function together. Thus, we have seen the digging of Data Lakes and the emergence of architectural diagrams of Data Reservoirs and Refineries. However, this is still very early days. The definitions remain as varied as their sources and their claims controversial.

This session sheds light on these new analytics architectures:

  • What is a Data Reservoir or Lake and how does it compare to a Data Warehouse?
  • What is a Data Refinery and what is its relationship to ETL?
  • What are the benefits and drawbacks of these new architectural components
  • Do Reservoirs and Refineries replace or complement traditional architectural thinking?
  • What technologies and tools are needed?
Featured Speaker:
Barry Devlin Barry Devlin
Founder and Principal
9sight Consulting

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Wednesday
4 November
11:25-12:15

DW/BI

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R as a Business Intelligence Tool - A Case Study from the Insurance Industry
Mark Chisholm, Actuarial Analyst, XL Catlin

This presentation describes how R can be used as a business intelligence tool in the insurance industry by demonstrating how actuaries use R to create predictive models and provide interactive data visualisation.  The cost of acquiring R, its flexible graphics capabilities and the abundance of open source package add-ons make it a useful addition to the BI suite.

One of the uses of R is to perform predictive modelling and review performance analytics.  Techniques such as generalised linear modelling are easy to implement, and these can be used a starting point for conversations with underwriters.  It also produces high quality charts, and the Shiny package extends this functionality by allowing the end user to interactively explore and visualise data through a web browser.

Attendees will learn:

  • How R and associated packages relate to other business intelligence tools
  • Examples of use cases for which R is a good fit
  • How R works with data visualisation
Featured Speaker:
Mark Chisholm Mark Chisholm
Actuarial Analyst
XL Catlin

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Wednesday
4 November
11:25-12:15

Enterprise
Data

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The Power of Open Data
Jason Perkins, Decision Support Chief Architect, BT

Join Jason to hear about the opportunities and transformation that is possible for your organisation from the increasing open data being made available in both UK and the rest of the world.  You will be taken on a journey through real world studies using open data as part of an expanding information eco-system.  You will hear how they adapted the best of traditional Data Management frameworks, patterns and agile methods including;
  • Emerging Open use cases - Competition and benchmarking, Innovation and Performance, productivity & variance
  • Open Information architecture – How open data aligns with traditional BI architecture and big data architecture; Information maturity model and Data modelling (traditional & adaptive techniques)
  • Open data technical architecture & Information usage patterns
Featured Speaker:
Jason Perkins Jason Perkins
Decision Support Chief Architect
BT

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Wednesday
4 November
11:25-12:15

Enterprise
Data

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Is the Data asset REALLY Different?
Chris Bradley, Information Strategist, Independent Consultant & DAMA

How many times have we heard it said “Data is an asset” and that “it's got to be managed professionally”, and even from the data community that “few people in the business understand us” and so on?

However successful organizations have managed various critical types of assets for many years People, Money, Property and so on. 

  • So just what is so different about the “data” asset?
  • Is it really so unlike from other types of assets?
  • Does this asset demand a different approach to its management?

In this session we will discuss the notion that Information is at the heart of all businesses and that the Information Architecture provides the unifying language, lingua franca, the common vocabulary upon which everything else is based. 

We will also discuss the problem that the way in which data modelling is being taught in many academic institutions and its perception in many organizations does not reflect the real value that data models can realize in helping companies develop & exploit their information architectures effectively.

And of course the question “is the data asset REALLY different” will be discussed in detail by:

  • Comparing the “data” asset with 7 other asset classes:
  • Identifying and discussing 5 characteristics of “assets”
  • Assessing the 7 asset types against the 5 asset characteristics to see if any patterns emerge
  • Comparing the data asset against the 5 characteristics for assets; and then
  • Determining if the data asset is so different from the other asset types

Finally IF there is a big difference, what actions should organizations take to manage this asset effectively?

Featured Speaker:
Chris Bradley Chris Bradley
Information Strategist
Independent Consultant & DAMA

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Wednesday
4 November
11:25-12:15

Big Data

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Harnessing Big Data for Revenue Growth
Mark Woodward, Analytics & Insights Manager, Intel

In today's business climate, more and more organisations need to understand how they can make sense of and derive value from a diverse range of data sources. The technology world is becoming ever more complex and as it does, the different ways in which data can originate and be collected is becoming equally complex. In this session, you will hear about industry best practices as well as real, high-value proof points on how Intel tackles this challenge and some of the success stories achieved internally.  Key Takeaways:
  • How to internalise your own data for real business ROI
  • A look at how to turn Business Intelligence into a Competitive Advantage
  • Intel's vision for Big Data
Featured Speaker:
Mark Woodward Mark Woodward
Analytics & Insights Manager
Intel

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 12:45 - 13:10 Industry Innovation Sessions

Wednesday
4 November
12:45-13:10

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Big Data and the Data Quality Imperative
Ed Wrazen, VP Product Management, Big Data, Trillium Software

Successful Big Data initiatives rely on accurate, complete data, but the information they draw on is often not validated when it enters an organization. In this session we will look at the challenges big data brings to an organization, and how data quality principles are adapting to ensure business goals and return on investments in big data are realised. We will cover:
  • Challenges of big data
  • Turning data lakes into reservoirs
  • How data quality tools are adapting
  • Why data governance disciplines remain crucial
Featured Speaker:
Ed Wrazen Ed Wrazen
VP Product Management, Big Data
Trillium Software

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Wednesday
4 November
12:45-13:10

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Is Master Data Management on Big Data an Essential Prerequisite for Advanced Analytics?
Roman Kucera, Head of Technology and Research, Ataccama

We hear about companies bringing all of their various structured and unstructured data sources into one Hadoop environment, allowing for more complex analytics, or just making traditional data processes more flexible and cheaper. But how does it relate to traditional processes like MDM? Isn’t all that advanced analytics affected by working with data that was never mastered before? Does it make sense to master your Big Data first? However, many companies still struggle even with traditional MDM. Doing MDM on Big Data may therefore sound like a bit of a stretch. Will this effort pay off?

Attend this session to learn how our customers approach this topic, what are the common pitfalls of Big Data Management and where do we think this is headed.

Featured Speaker:
Roman Kucera Roman Kucera
Head of Technology and Research
Ataccama

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 13:15 - 13:40 Industry Innovation Sessions

Wednesday
4 November
13:15-13:40

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One Size Doesn’t Fit All – Dashboards for Strategic, Operational & Analysis Needs
Peter Baxter, Managing Director - EMEA, Yellowfin

Dashboards are frequently cited as the most important technology for implementing business driven BI and analytics. However, many analysts agree that the majority of today’s BI dashboards fail to address the business needs.

Join us, as we discuss how you can ensure you are building dashboards that create real value for your business.

Attend this session to:

  • Understand the three different types of dashboards your business needs
  • Discover the importance of delivering dashboards to the right people, at the right time
  • Realise the power of sharing your insights
Featured Speaker:
Peter Baxter Peter Baxter
Managing Director - EMEA
Yellowfin

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Wednesday
4 November
13:15-13:40

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Data Governance - a Practical Approach
Tomáš Mátl, Billigence Europe

A case study on behalf of Semanta describing how Data Governance can be established from the bottom-up over a few months. Be inspired by successful real-life services (like Google, Wikipedia, Twitter) and combine and adapt them to deal with the complexity of a Corporation. We provide you with the tools to set the rules for tasks dealing with data and information and specify their ownership. We allow you to describe the information environment in an e2e context, bring it to users in a visual form and manage its life-cycle easily and transparently. The case study will show:
  • How to create an Information Portal that supports business users in becoming self-reliant in finding, understanding and analysing enterprise information and data.
  • How to work with metadata from different sources and display them to business users in their context.
  • How to manage the life-cycle of information objects
Featured Speaker:
Tomáš Mátl Tomáš Mátl
Billigence Europe

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Wednesday
4 November
13:45-14:45

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KEYNOTE: The Multi–Skilled Influencer – Getting Out of the Data Box to Achieve Data Management Goals
Alec Sharp, Senior Consultant, Clariteq Systems Consulting

Sometimes, to hit the target, you have to aim slightly away from it. And sometimes, to achieve a goal, you have to aim for a completely different one. That's how it is with Enterprise Data Management - in many cases, success has come from contributing to other initiatives. The catch? This requires skills not usually associated with pure data management, plus a measure of trust and opportunism. We'll look at many of these, backed up by real-life examples, with a focus on three in particular. In addition to showing how data management goals have been supported by applying these techniques, we'll provide some useful tips and frameworks for each of them:
  • Business Process Change: Business processes work on "things" (a Part, a Product, an Issue, etc.) which typically move through the process as data; we'll look at techniques to make the "data" perspective valuable.
  • Application Requirements: Use Cases and User Stories are well known techniques that many Business Analysts struggle with; we'll look at an entity-based approach that overcomes some of the usual difficulties, especially in Agile settings.
  • Facilitation: Questions that are standard practice for facilitators ("What do you mean by...") can surface familiar data management issues of consistency and communication, particularly with senior management teams.
Featured Speaker:
Alec Sharp Alec Sharp
Senior Consultant
Clariteq Systems Consulting

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 14:50 - 15:40 CONCURRENT SESSIONS

Wednesday
4 November
14:50-15:40

DW/BI

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Case Study – High Performance Cloud-Based Search, Data Management and Analysis at the Copyright Licensing Agency
Adam Sewell, IT Director, The Copyright Licencing Agency
Nathaniel Suda, Consulting Director, Advanced 365

The Copyright Licensing Agency issue licences to a wide range of education, public sector and commercial organisations to permit legal copying and reuse of published materials from books, magazines, journals and other sources. Advanced assisted CLA with an innovative project to develop a new cloud-based platform to give customers the ability to search and acquire additional rights instantly. Developed using sophisticated search technologies utilising their large database of titles, API’s were also provided to integrate with third-party systems to ensure a seamless experience for customers. Supporting the high performance front-end search tool is a datamart which also provides sophisticated reporting and analysis tools to enable the CLA to ensure rightsholders receive fair compensation for use of their work and provide valuable insight into usage and trends.

Delegates will learn:

  • Discussion of the business decision-making process for use of cloud technologies in high-performance and business critical applications
  • A real-world example where business intelligence and search tools are used to generate revenue streams
  • Considerations for project success, especially with regards to multiple technologies, vendor partnership, and business stakeholder engagement
Featured Speakers:
Adam Sewell Adam Sewell
IT Director
The Copyright Licencing Agency

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  Nathaniel Suda Nathaniel Suda
Consulting Director
Advanced 365

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Wednesday
4 November
14:50-15:40

DW/BI

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Ask the Expert
Moderator: Rick van der Lans, R20/Consultancy
Panellists:
John Ladley, President, IMCue Solutions
Barry Devlin, Founder and Principal, 9sight Consulting

In this session you can ask John Ladley and Barry Devlin, two analysts who were involved in data warehousing from the start, everything you always wanted to know about BI and data warehousing. What do they think of all the new developments? Are we more successful in our data warehousing projects today than in the beginning? How do we calculate the ROI of BI? What is the relationship between big data and data warehouse? And so on.
Moderator:
Rick van der Lans Rick van der Lans
R20/Consultancy

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Panellists:
John Ladley John Ladley
President
IMCue Solutions

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  Barry Devlin Barry Devlin
Founder and Principal
9sight Consulting

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Wednesday
4 November
14:50-15:40

Enterprise
Data

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Group Hugs and How They Help Your Career 

Learn how peer groups like DAMA can help you grow and develop in your career. Insight from DAMA UK & International members.
 

Wednesday
4 November
14:50-15:40

Enterprise
Data

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Case Study: HR Test System - Data, Data Consistency and Privacy & Data Management
Rafal Kosinski, Expert, Data Manager, Roche

In most ERP environments the implementation of a new solution requires reliable testing before deployment to the production system. In most cases the achievement of this takes place only with the right data in the test system. Data Management in such a system should take into account not only data availability for testing but also data privacy and consistency. Since application users utilize the test system extensively, Data Management plays a crucial role in the successful test performance there. Meeting users’ expectations related to test data and at the same time being compliant with legal aspects is a serious challenge for data managers. From this case study you will learn:
  • What are the conflicts between users’ expectations and organization's data policy
  • How the proper data for the test system is being constructed in global HR system CHRIS at Roche
  • What are the main challenges for data management and how to cope with those
Featured Speaker:
Rafal Kosinski Rafal Kosinski
Expert, Data Manager
Roche

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Wednesday
4 November
14:50-15:40

Big Data

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A New Data Science Economy
Jon Woodward, Business Lead – BI & Analytics, Microsoft

Which customers are most likely to buy your products and services? What marketing mix will maximize revenue? Which personalized treatment plans are best for patients? How does one predict and fix elevators, trains and roads before they need repair? How will citizens respond to Government proposals?

Agile organizations are harnessing large volumes of data (Big Data) to generate advanced insights. Software and the rise of cloud services have given rise to revolutionary new economies. Only a few years ago, it would have been hard to imagine developers authoring a million apps for smartphones. Cloud-centric economies are permanently changing the way people author, create and share in the knowledge economy. The next big software economy will be the Data Science Economy – one where data scientists build predictive models and intelligent services that can be published and monetized as easily as apps for the mobile phone. Attend this session to learn how you can generate advanced data-driven insights.

Featured Speaker:
Jon Woodward Jon Woodward
Business Lead – BI & Analytics
Microsoft

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 16:10 - 17:00 CONCURRENT SESSIONS

Wednesday
4 November
16:10-17:00

DW/BI

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When is a Data Warehouse Not Really a Data Warehouse?
John Ladley, President, IMCue Solutions

In memory and “Big Data” technologies are doing more than enable sophisticated analytics. It is possible that, given the correct circumstances, a data warehouse is no longer needed. At minimum, you need to consider that data warehouse may not be a mandatory component of your information architecture. This session will cover the various types of alternatives that are bringing us full circle back to a time when the data warehouse was an option.
  • New technology – What are the new technologies that will cause fundamental changes in information architecture?
  • How do I know – what are the circumstances that may affect my current data architecture?
  • How do I determine if I need to adopt these new technologies, or should stand pat with current DW – type approaches?
Featured Speaker:
John Ladley John Ladley
President
IMCue Solutions

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Wednesday
4 November
16:10-17:00

DW/BI

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Why You Need a Data Governance Strategy to Support your BI
Nicola Askham, The Data Governance Coach

When you think of Business Intelligence the obvious thing is to focus on the wonderful reports and dashboards that can be created to support your business. However if the data you are analysing and reporting on is not of good quality then the value of the reports is seriously undermined. Join Nicola Askham, The Data Governance Coach in this session as she explains:
  • Why you need a Data Governance Strategy to support your BI activities
  • The importance of a Data Governance strategy
  • How to begin creating your strategy
Featured Speaker:
Nicola Askham Nicola Askham
The Data Governance Coach

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Wednesday
4 November
16:10-17:00

Enterprise
Data

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An Enterprise Data Approach to Addressing
Simon Barlow, Head of Information Management, GeoPlace

GeoPlace is one of the UK’s foremost managers of complex address-based national spatial datasets. They manage the National Address Gazetteer of over 40 million records – analysing and synchronising 2,599,000 changes and carrying out a total of 3,440 data validation checks every 6 weeks.  They work with hundreds of stakeholders across the country on a daily basis to derive an increase in data quality and classify data through its entire life cycle, from plot to postal to demolition.

As well as building and managing the National Address Gazetteer, GeoPlace has audited, cleaned, analysed and matched hundreds of millions of records from the public and private sectors ranging from small local datasets to nationwide taxation, census, customer records, licensing and command and control systems.

During this presentation, Simon will demonstrate how an enterprise approach to address management and practices such as data audits and compliance with data standards enforces quality, enabling organisations to derive greater worth from their data holdings.  Using case studies, Simon will present examples of how inconsistent data management results in lost revenue and poorer service provision and how enforcing data quality optimises the long term value of data assets.

Featured Speaker:
Simon Barlow Simon Barlow
Head of Information Management
GeoPlace

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Wednesday
4 November
16:10-17:00

Enterprise
Data

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Creating a Sustainable Analytics and Insight Environment
Jan Henderyckx, Managing Partner, Inpuls

Too often we see people embark on a data insight journey without addressing the data management fundamentals. The end result is a group of data scientists that are disconnected from the business and that could expose data that could even lead to fines and compliance breaches.

Having a data lab up and running does not equal a sustainable integration into the operational and strategic fabric an organisation.

  • Setting the scene: Defining a sustainable Information centric organisation
  • Environmental aspects of data lab adoption
  • Positioning Information Governance in a CDO context: Information innovation as a driver
  • Drowning in the data lake or having a breach? Data Governance as a safeguard
Featured Speaker:
Jan Henderyckx Jan Henderyckx
Managing Partner
Inpuls

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Wednesday
4 November
16:10-17:00

Big Data

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Legal Analysis of Managing Big Data
Barry Connolly, Solicitor, Flynn O'Driscoll Business Lawyers

The collection and processing of data in an ever increasing volume, variety and velocity has advanced at a rate that legal regulators could never have anticipated. One significant area of friction is the interface between Big Data and Data Protection Law. This session will review the proposed General Data Protection Regulation, in particular:
  • How certain aspects of the law apply to Big Data
  • How the proposed regulation impacts Big Data management.

However, legal regulation should not be seen as inherently restrictive. As the value that can be derived from Big Data is immense, this session will also highlight law available to protect that value. Intellectual property (IP) may be generated in collecting and processing Big Data. Such IP can protect much of the inherent value in Big Data analysis. Organisations, with substantial investments in Big Data projects, should be aware of this IP, such as:

  • Copyright as it may apply to Big Data analysis
  • Database rights surrounding the processing of Big Data
Featured Speaker:
Barry Connolly Barry Connolly
Solicitor
Flynn O'Driscoll Business Lawyers

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Wednesday
4 November
17:05-17:15

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Rick van der Lans, R20/Consultancy
Sue Geuens, DAMA International
Featured Speakers:
Rick van der Lans Rick van der Lans
R20/Consultancy

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Sue Geuens Sue Geuens
DAMA International

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