Conference Half Day Workshops: 7 November 2016

DW/BI Workshops
09:30-12:45
HALF DAY
Designing the Logical Data Warehouse
Rick van der Lans, R20/Consultancy
09:30-12:45
HALF DAY
The Key to Big Data Modelling: Collaboration
Len Silverston, President, Universal Data Models
09:30-12:45
HALF DAY
Data Science in Action
Jos van Dongen, Principal Consultant, Tholis Consulting
14:00-17:15
HALF DAY
Introducing Agile Business Intelligence Sustainably: Implement the Right Building Blocks in the Right Order
Raphael Branger, Senior BI Solution Architect, IT-Logix AG
14:00-17:15
HALF DAY
Modeling for SQL and NoSQL
Kenneth Hansen, Managing Consultant, Analyticdomain Ltd
14:00-17:15
HALF DAY
Getting Ready for the General Data Protection Regulation – An EIM2.0™ Approach
Daragh O Brien, Managing Director, Castlebridge
Enterprise Data Workshops
09:30-12:45
HALF DAY
Master Data Management
William McKnight, Consultant, McKnight Consulting Group
09:30-12:45
HALF DAY
Carrying out a Data/ Information Maturity Assessment
Sue Geuens, Head: Data Standards & Best Practice, Barclays & President DAMA International
09:30-12:45
HALF DAY
Getting Our Heads into the Clouds: Infinitely Scalable Data Management
Anthony Algmin, Chief Data Officer, Uturn Data Solutions
09:30-12:45
HALF DAY
What is Quality Data, and Why Do We Need It?
Sophie Angenot, Managing Partner, QuaData
14:00-17:15
HALF DAY
From Vision to Capabilities: Effective Building Blocks for Information Centric Organisations
Jan Henderyckx, Managing Partner, Inpuls
14:00-17:15
HALF DAY
Creating Better Business Diagrams
Glen Bell, Director, Visual Explanations
14:00-17:15
HALF DAY
All Roads Lead to Data Funding
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
14:00-17:15
HALF DAY
Building Professional Competencies for Information Management Practitioners
Chris Bradley, Information Strategist, Data Management Advisors Ltd, DAMA CDMP Fellow & President, DAMA UK
Big Data Workshops
09:30-12:45
HALF DAY
Big Data Platform Fundamentals – New Infrastructure in Your Analytical Ecosystem
Mike Ferguson, Managing Director, Intelligent Business Strategies
14:00-17:15
HALF DAY
Big Data Technology and Use Cases
William McKnight, Consultant, McKnight Consulting Group
8:30-9:30 Registration, 11:00-11:15 Break, 12:45-14:00 Lunch, 15:30-15:45 Break
DW/BI Workshops
Half Day
Workshop
09:30-12:45
Designing the Logical Data Warehouse
Rick van der Lans, R20/Consultancy

The classic data warehouse architecture has had a long and successful run, but we’re starting to stretch its abilities to the limit. The logical data warehouse is a modern alternative. It offers several practical benefits, including that it’s more agile, it makes adoption of big data easier and more seamless, it allows a management the self-service BI component, it can more easily exploit new data storage technologies such as Hadoop and NoSQL, and is more suited for operational BI applications. Mature technology in the form of data virtualization servers exists to develop a logical data warehouse. Products from Cisco, Denodo, and RedHat, have proven that large BI systems can be developed using data virtualization. This workshop explains the architecture of a logical data warehouse and discusses numerous tips, tricks, and guidelines for designing and developing one, and a structured approach for migrating to a logical data warehouse is taught.
Featured Speaker:
Rick van der Lans      Rick van der Lans
R20/Consultancy
Half Day
Workshop
09:30-12:45
The Key to Big Data Modelling: Collaboration
Len Silverston, President, Universal Data Models

Some claim that in the age of Big Data, data modelling is less important or even not needed. However, with the increased complexity of the data landscape, it is actually more important to incorporate data modelling to understand the nature of the data and how they are interrelated. To do this effectively, our approaches to data modelling need to adapt to this complex environment. One of the key data modelling issues is how to foster collaboration between new groups, such as data scientists, and traditional data management groups. There are often different paradigms, and yet it is critical to have a common understanding of data and semantics between different parts of an organization. In this presentation, Len Silverston will discuss:
  • How Big Data has changed the enterprise landscape and affected data modelling
  • How to conduct data modelling in a more 'agile' way for Big Data environments
  • How to collaborate effectively within an organization, even with very different perspectives
Featured Speaker:
Len Silverston      Len Silverston
President
Universal Data Models
Half Day
Workshop
09:30-12:45
Data Science in Action
Jos van Dongen, Principal Consultant, Tholis Consulting

Data Science has been called 'The Sexiest Job in the 21st Century' and is a hot topic in the world of analytics. It promises breakthrough insights and skyrocketing ROI percentages, delivered by teams of extremely smart people using state of the art technology. At least, that's what analyst firms and trade magazines want us to believe. Reality is that many organisations are just starting out with their first 'Big Data Labs' or are struggling to move beyond technology oriented proof of concepts. The challenge is how to put the business in the driver's seat and use technology as an enabler and not for the sake of technology alone. This session will look at both concepts as well as practical approaches in moving towards becoming a data and analytics driven organisation. The following topics will be covered:
  • Concepts: what is Data Science and how is it different from BI?
  • Use Cases: Data Science success stories from a variety of sources
  • Skills: can my BI team become a Data Science team? (and how?)
  • Process: how do you facilitate Data Science within your organisation?
  • Tools & Technology: what are the technical requirements for a successful Data Science team?

After this session you will be able to look beyond the hype and will have a good understanding of the benefits of adopting data science within your organisation.

Featured Speaker:
Jos van Dongen      Jos van Dongen
Principal Consultant
Tholis Consulting
Half Day
Workshop
14:00-17:15
Introducing Agile Business Intelligence Sustainably: Implement the Right Building Blocks in the Right Order
Raphael Branger, Senior BI Solution Architect, IT-Logix AG

"We now do Agile BI too” is often heard in todays’ BI community. But can you really "create" agile in Business Intelligence projects? This workshop shows that Agile BI doesn't necessarily start with the introduction of an iterative project approach. An organisation is well advised to establish first the necessary foundations in regards to organisation, business and technology in order to become capable of an iterative, incremental project approach.

In this workshop you will learn, which building blocks you need to consider. In addition you will see what a meaningful sequence to these building blocks is. Selected aspects like test automation, BI specific design patterns as well as the Disciplined Agile Framework will be explained in more and practical details.  Top 3 Take Aways:

  • Identify what building blocks are necessary to introduce Agile BI in a sustainable way
  • Learn about the sequence of implementation of the building blocks for Agile BI
  • Become aware of typical trap doors when starting Agile BI

Featured Speaker:
Raphael Branger      Raphael Branger
Senior BI Solution Architect
IT-Logix AG
Half Day
Workshop
14:00-17:15
Modeling for SQL and NoSQL
Kenneth Hansen, Managing Consultant, Analyticdomain Ltd

This workshop will be a sharing of experiences and lessons learned in the trenches of projects for Lufthansa Airlines with references to previous projects with a Telco and a shipping Company. Data Models are seen by many as an unnecessary legacy but those based on Conceptual and Logical models offer flexibility and future proofing” - they are key to integrating and scaling data and queries in both Relational and NoSQL Schemas and future proofing. For the Agile organisation the models provide a framework that reduces technical debt and the concerns over duplication and lack of consistent progress in developing enterprise capabilities.  Generic Industry Data Models can be valuable but there is much more to modelling than producing a diagram of entities and relationships. Implementation requires generic structures are validated and customised and involves alignment of all stakeholders and team members - a process that is fraught with pitfalls. The speaker will share experiences and recommend key best practices in the conference session including:
  • Successful Conceptual Models can and should be memorised as drivers for detailed models - larger models should be abstracted.
  • Conceptual Models must be agreed at enterprise level by the business leaders and enterprise architects and then serve as the cornerstones of Logical Models.
  • Successful Conceptual and Logical Data Models establish a common language for the Enterprise, Data Governance and all Analytics

In the 3 hour workshop Kenneth will detail the process recommended for validation, customisation and implementation of a generic industry LDM .

Featured Speaker:
Kenneth Hansen      Kenneth Hansen
Managing Consultant
Analyticdomain Ltd
Half Day
Workshop
14:00-17:15
Getting Ready for the General Data Protection Regulation – An EIM2.0™ Approach
Daragh O Brien, Managing Director, Castlebridge

The General Data Protection Regulation comes into effect on the 25th May 2018. While at the core, the fundamental objectives remain the same, the GDPR introduces a number of significant changes for organisation with regards to how they need to plan for, manage, govern, and apply data that relates to identified or identifiable individuals.  The implications of GDPR are far reaching as it has set a new benchmark for global data privacy standards, not least with its extra territorial effect that means non EU-based organisations processing data of EU residents will have to comply.  In this intensive session, internationally recognised expert Daragh O Brien will:
  • Provide delegates with a pragmatic overview of the key provisions of the GDPR
  • Explain the penalties and enforcement frameworks that will exist under GDPR (and which are being introduced already in certain EU Member States)
  • Outline the impact of recent EU Court of Justice rulings on Data Privacy laws in the EU and elsewhere, and how that impacts the governance, planning, and management of information in your organisations
  • Discuss the other changes in EU Data Privacy laws that are emerging, and the impact on international data privacy regulation
  • Explore how agile principles and methods can be applied to getting ready for GDPR
  • Map out how frameworks such as the DMBOK Wheel and the Zachman Framework, and methodologies and principles from Data Governance and Data Protection can help with implementation of GDPR, including the execution of Privacy Impact Assessments
  • Introduce the concept of EIM2.0™ – Ethical Information Management and how this can support and enable GDPR governance, particularly in the context of the Risk based model for Regulation
Featured Speaker:
Daragh O Brien      Daragh O Brien
Managing Director
Castlebridge
Enterprise Data Workshops
Half Day
Workshop
09:30-12:45
Master Data Management
William McKnight, Consultant, McKnight Consulting Group

This workshop provides a practical guide to implementing successful MDM from experience. It covers all the aspects of MDM, from justification to architecture to data management and project management using agile principles. This class gives the common process, organisational and architectural focus for building strategies and implementing master data management programs such as those that have consistently, for many years, improved the productivity and performance for clients including global giants.
  • How MDM provides benefits to an organisation and how to justify an MDM project
  • The various architectural styles of MDM
  • What MDM provides for hierarchy management and data governance
  • How to go to market for an MDM tool
  • All the roles and responsibilities on an MDM project
  • How to manage the organisational change that occurs with MDM projects
Featured Speaker:
William McKnight      William McKnight
Consultant
McKnight Consulting Group
Half Day
Workshop
09:30-12:45
Carrying out a Data/ Information Maturity Assessment
Delegates wishing to attend this session will need to bring a laptop/tablet with them
Sue Geuens, Head: Data Standards & Best Practice, Barclays & President DAMA International

Knowing how mature your organization is and how ready it may be for a data and information management program should be high on your list of priorities. After all, we have all heard "you don't know what you don’t know" before, haven't we? But (and this is the big one), how do you assess this maturity? Is there a magic bullet, a special methodology or a trusted approach that everyone uses? One that you can go and buy somewhere? Sue says she doesn't know of one specific one and has been working with clients over a number of years trying to perform that miracle. Sometimes it has worked and sometimes not. However, challenges are her bread and butter!

Join Sue on a journey to assess your maturity for Data and Information. But be prepared: there is work to be done and you will walk away at the end of the workshop with a maturity assessment of your organization (or if you are a consultant with that of a client of your choice!). You will also walk away knowing that you can do this assessment again and again and again, over as long a period as you want to. This will, of course, allow you to measure your success! Please bring along a PC, a tablet, or - if all else fails - a Smartphone. You will be taking the assessment.

Key Learnings:

  • How important doing a regular maturity assessment is
  • Take home the actual tool to do this
  • Some new skills on how to get people to do the assessment
Featured Speaker:
Sue Geuens      Sue Geuens
Head: Data Standards & Best Practice, Barclays &
President
DAMA International
Half Day
Workshop
09:30-12:45
Getting Our Heads into the Clouds: Infinitely Scalable Data Management
Anthony Algmin, Chief Data Officer, Uturn Data Solutions

The cloud is not the future of enterprise computing: it’s the NOW of enterprise computing. We are in the midst of a data awareness renaissance, and our organizations are demanding that we build analytics capabilities to drive future success. Cloud technologies are part of the answer, but to fully respond to these challenges we need to bring new mindsets and techniques to data management. It’s up to us data professionals to bring these capabilities to our businesses. If your business is not already there, it needs to be. Come to this session to learn how to get to the cloud, and how our data management practices must evolve to harness the power.

This session will cover a pragmatic foundational perspective on hot data terms you have heard about, like:

  • Big Data - a relative scale challenge that has always existed
  • Data Lakes - optimizing data structuring energy across place, time, and purpose
  • The Cloud - forget what you knew about it three years ago
  • Private Cloud - like buying an airplane versus flying commercial
  • Internet of Things - this will make current Big Data scale laughable in the next few years
  • Data Science - a capability far too important to be left entirely to data scientists
  • Why the cloud makes some new things possible, many things easier, and a few things much harder – and how we need to adapt our data management practices in response
  • Why business impact is the only thing that really matters
  • What all this means for business as usual, and how to build a high-performance organization driven by data in the cloud.
Featured Speaker:
Anthony Algmin      Anthony Algmin
Chief Data Officer
Uturn Data Solutions
Half Day
Workshop
09:30-12:45
What is Quality Data, and Why Do We Need It?
Sophie Angenot, Managing Partner, QuaData

Even in companies where some people are already convinced, selling the idea of investing in something that looks as trivial as data quality, is not easy. So, where do you start? How can you measure quality with no or very little tooling at hand? What arguments can you use towards your stakeholders?  And once your stakeholders are  on board, where do you start?  Sophie will give you some examples of companies that started from scratch, and will go through a typical DQ-roadmap with solutions in the 3 aspects that impact the quality of your data: people, governance and technology.  She’ll also bring some of QuaData’s surveys so you can assess the situation of your own company.  You will leave this workshop with at least one feasible first or next step for your own company. And lots of them to build your roadmap to the right level of data quality. You will you learn:
  • How to convince your stakeholders of the importance of DQ
  • How to gather basic measurements about the quality of your data
  • Where to start and what to consider in your roadmap
Featured Speaker:
Sophie Angenot      Sophie Angenot
Managing Partner
QuaData
Half Day
Workshop
14:00-17:15
From Vision to Capabilities: Effective Building Blocks for Information Centric Organisations
Jan Henderyckx, Managing Partner, Inpuls

Keeping control over the design- and architecture activities that are performed within your organisation without creating a top heavy governance organisation is quite a challenge. Justifying why certain choices have been made and come up with the proper reasons to invest in a particular solution can be quite tricky. The latter is often performed in an ad-hoc and unstructured way.

One of the current hypes is the concept of capabilities which can be loosely defined as “things that you should be able to do”. The idea behind the capability approach makes sense as it starts from the assumption that when you describe what and why you want to perform you end-up with the right mix to reach your objectives. This brings us to the more fundamental question of the underlying drivers.  The workshop will take you through the different steps of translating a vision into policies, principles and standards that guide your reference architectures and blueprints. We will cover the framework that connects all the different elements into a practical toolkit that underpins you reference architecture and transforms standalone statements such as “information is an asset” into useable steering of your designs and architecture.

  • Understanding the policy framework concept
  • Linking vision to actions
  • Outcome driven capabilities
  • Reference architectures for common use cases, MDM, Analytics, BI, Data Quality
Featured Speaker:
Jan Henderyckx      Jan Henderyckx
Managing Partner
Inpuls
Half Day
Workshop
14:00-17:15
Creating Better Business Diagrams
Glen Bell, Director, Visual Explanations

Data management professionals need to create diagrams to explain concepts. Unlike written communication, where everyone is taught grammar and how to write clearly, there is almost no training in creating effective diagrams for business communication.

This workshop explains a set of diagramming techniques based on Gestalt principles. The focus is to create diagrams that are easily understood. By the end of the workshop you will be able to formally assess a diagram and understand how to improve it to make its message clear and compelling. The same techniques will also be applied to tabular information to improve its clarity. The workshop has a strong emphasis on doing exercises to re-inforce the concepts.  No drawing skills are required.

Key learnings:

  • Techniques for assessing and improving business diagrams
  • Understand how to apply these techniques to other communication areas such as tables of data
  • Ensuring the communications resonates with the target audience
Featured Speaker:
Glen Bell      Glen Bell
Director
Visual Explanations
Half Day
Workshop
14:00-17:15
All Roads Lead to Data Funding
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

Many Enterprise Data Management programs struggle for funding, especially for work that doesn’t fit neatly into IT Projects.  And yet, in just 2 ½ years, IFC (the private sector arm of the World Bank Group), evolved from “invisible” data needs to a well-funded, interdependent set of projects and work plans. In this highly-interactive workshop, the team behind the funding strategy coaches you through the process of finding your own path to increased funding.  The workshop explores:
  • 5 funding models, and when each might be deployed
  • Stakeholder analysis, and getting “a seat at the table” for the right people in the right venues
  • A Three Pillar Model that brings visibility to work that business and IT stakeholders may have been blind to
  • How and when to involve Enterprise Architecture, Information Security, and BI
  • The value of inserting data reviewers into IT Governance, Lifecycle Management, and IT Portfolio Management
Featured Speakers:
Gwen Thomas      Gwen Thomas
Corporate Data Advocate
IFC/World Bank GroupA
  Jennifer Trotsko   Jennifer Trotsko
Head, Data Governance Office
IFC/World Bank Group
             
Sana Al-Hajjf   Sana Al-Hajj
Manager
IFC/World Bank Group
       
Half Day
Workshop
14:00-17:15
Building Professional Competencies for Information Management Practitioners
Chris Bradley, Information Strategist, Data Management Advisors Ltd, DAMA CDMP Fellow & President, DAMA UK

Considering a career in Information Management?
Already well established in the field?
Want to build an information management practice in your organisation?

It’s not only the “Information Management” skills that are essential.  This workshop will address the key issues of:

  • What key capabilities are necessary (and desirable) for IM professionals
  • What behaviours and attitudes should be exhibited
  • What are the roles necessary in a successful Information Management practice
  • What are the skills and skill levels required to fulfil those roles,
  • What are the core services necessary to permeate an Information Management practice & how should these mature, and
  • Does certification help?

Taught by DAMA Award winner, DAMA Fellow, & President of DAMA UK this workshop is based upon real practical experience gained over 35 years in assisting Global organisations big & small & will help individuals & organisations plan their Information Management development.

Featured Speaker:
Chris Bradley      Chris Bradley
Information Strategist
Data Management Advisors Ltd
DAMA CDMP Fellow & President, DAMA UK
Big Data Workshops
Half Day
Workshop
09:30-12:45
Big Data Platform Fundamentals – New Infrastructure in Your Analytical Ecosystem
Mike Ferguson, Managing Director, Intelligent Business Strategies

This session provides an introduction to core platforms for big data analytics and walks through the main components.
  • The new multi-platform analytical ecosystem
  • New platforms in the logical data warehouse
  • An introduction to Hadoop and the Hadoop Stack
  • What is HDFS, MapReduce, Pig & Hive?
  • What is Apache Spark? –in-memory massively parallel analytics
  • Data Warehouse offload – ETL on Hadoop and Spark
  • Accessing Hadoop data using SQL on Hadoop
  • Security on Hadoop
  • The Big Data Marketplace
    • Hadoop distributions
    • Big Data Appliances
    • Streaming Analytics
    • NoSQL databases
  • The Cloud deployment options
  • Creating a multi-platform analytical ecosystem
Featured Speaker:
Mike Ferguson      Mike Ferguson
Managing Director
Intelligent Business Strategies
Half Day
Workshop
14:00-17:15
Big Data Technology and Use Cases
William McKnight, Consultant, McKnight Consulting Group

This workshop provides an approach for storing, managing and accessing data of very high volumes, variety or complexity. Storing large volumes of data from a large variety of data sources in traditional relational data stores is cost-prohibitive. And regular data modelling approaches and statistical tools cannot handle data structures with such high complexity. This seminar discusses use cases and new types of data management systems based on Hadoop and NoSQL database management systems and alternative programming models and access methods.
  • Big Data Overview and Common Themes
  • The main characteristics of Hadoop and NoSQL databases
  • Differences between a distributed database and relational databases
  • NoSQL data models: key-value, columnar, document
  • Use cases for big data, with real-world examples from organizations in production today
  • The placement of big data in information architecture
  • Scale up versus scale out
  • MapReduce and Spark
  • Graph Stores: All about Relationships
  • Enablers for big data in the enterprise
Featured Speaker:
William McKnight      William McKnight
Consultant
McKnight Consulting Group