Building a Competitive Data Strategy for a Data-Driven Enterprise
  Mike Ferguson   Mike Ferguson
Managing Director
Intelligent Business Strategies Ltd


Tuesday, March 19, 2019
01:45 PM - 02:45 PM

Level:  Intermediate

For many companies today, there is a real desire is to become data-driven. A key first step in achieving this, is to create a data strategy that sets out a roadmap on how to get there.  When defining a data strategy, most companies are faced with two broad challenges. The first is how to reduce risk to get data under control, govern it and build trusted data assets. This needs to happen in an environment where regulation is increasing, data complexity is growing with thousands of data sources and many different types of data store both on-premises and in one or more clouds. The second is how to maximise the use of data and analytics for competitive advantage to disrupt the market(s) you compete in.  It seems that data strategy needs to be defensive as well as offensive.  So how do you do this?  What should be in a defensive data strategy and what should be an offensive one? This session looks at this problem and seeks to find a way to bring defensive and offensive data programmes together to deliver competitive advantage.

  • The vision – Becoming a data-driven enterprise
  • The data challenge – data complexity, thousands of data sources, multiple data stores, multiple clouds and on-premises systems, ungoverned self-service data preparation and data flows everywhere
  • Managing expectations – the promise of building analytical assets using rapid data integration and machine learning
  • Key Requirements in a data strategy
    • The need to reduce risk and improve competitive advantage
  • Business strategy alignment – a critical success factor
  • Defining a defensive data strategy to establish trusted data
  • Creating an offensive data strategy to drive competitive edge
  • Creating a data platform and changing your data architecture to support both
  • Orchestrating data and analytical pipeline components for rapid development

Mike Ferguson is the Managing Director of Intelligent Business Strategies. An independent IT industry analyst, he specializes in Data Management,  analytics, big data, and enterprise architecture. With over 40 years of experience, Mike has consulted for dozens of companies on BI/Analytics, data strategy, technology selection, enterprise architecture, and Data Management. Mike is also conference chairman of Big Data LDN, the largest data and analytics conference in Europe and a member of the EDMCouncil CDMC executuve advisory board. He has spoken at events all over the world and written numerous articles. He was formerly a principal and co-founder of Codd and Date – the inventors of the Relational Model, and a Chief Architect at Teradata. He teaches classes in: Data Warehouse Modernization, Big Data Architecture & Technology, Centralized Data Governance of a Distributed Data Landscape, Practical Guidelines for Implementing a Data Mesh, Embedded Analytics, Intelligent Apps & AI Automation, Migrating your Data Warehouse to the Cloud, Modern Data Architecture, and Data Virtualization.