Many executives are looking to create a data-driven organization, and to reap the benefits that modern data technology can bring. But creating an enterprise data strategy and architecture can be a daunting task. It can be difficult to know where to begin, and how to prioritize efforts with the myriad technologies and stakeholders involved. This 4 day evening course will help de-mystify data strategy and data management, and will provide concrete, practical ways to get started.

Global Data Strategy’s Framework for Building a Practical, Actionable Data Strategy

Evening 1: Aligning Data Strategy with Business Strategy

Evening One provides an overview of the main components for building a data strategy. A key focus will be on aligning the data strategy with the organization’s business strategy to support becoming a more data-driven organization. Topics include:

• Data Strategy & Data Management Overview
  • Data Strategy & Data Management Executive Overview
  • Building blocks of a data strategy & architecture
  • Case studies & success stories
• Establishing Goals & Gaining Buy-In
  • Motivation & drivers
  • Effectively communicate needs and expected ROI
  • Workshop: Defining business motivations & drivers

Evening 2:  Building the Foundation: Key Components of Data Management

Evening Two provides an overview of the key components of data management including: data architecture, data quality, BI and data warehousing, AI analytics, master data management, and more. Topics include:

• Building the Data Management Foundation
  • BI and Data Warehousing
  • AI & Analytics
  • Data Architecture
  • Data Quality
  • Master Data Management
  • Metadata Management
• Prioritizing Business-Critical Data & Capabilities
  • Identify and prioritize cross-functional stakeholder needs
  • Define & manage business-critical data
  • Build the right technical architecture for your organization’s needs

Evening 3:  Data Governance:  Aligning People, Process, and Technology

Evening 3 covers data governance, which is a critical part of any successful data strategy. We will begin with an overview of data governance and the various approaches and components involved in building a data governance organization from both an organizational and technical perspective. Topics include:

• Data Governance Overview
• Aligning Data Governance with business objectives
• Organizational structures
• Data stewardship & roles
• Processes & workflows
• Tools & technologies to support data governance

Evening 4:  Building a Roadmap for Success

Evening 4 integrates all of the topics learned in the course to build a roadmap and implementation plan for their unique organization. We will also discuss how track benefits and ROI (return on investment) over time to monitor the success of your data initiatives.  Topics include:

• Defining an Actionable Roadmap
  • Identifying “quick wins”
  • Aligning technology with business priorities
  • Building a roadmap that combines quick wins with long-term benefits
• Tracking Benefits and ROI
  • Methods for calculating value
  • Tracking benefits over time
  • Culture & communication – keeping the momentum going

Kouluttaja:

DONNA BURBANK

Managing Director, Global Data Strategy

Donna is a recognized industry expert in information management with over 20 years of experience in data strategy, information management, data modeling, metadata management, and enterprise architecture. Her background is multi-faceted across consulting, product development, product management, brand strategy, marketing, and business leadership.

She is currently the Managing Director at Global Data Strategy, Ltd., an international information management consulting company that specializes in the alignment of business drivers with data-centric technology. In past roles, she has served in key brand strategy and product management roles at CA Technologies, Platinum Technologies, and Embarcadero Technologies for several of the leading data management products in the market. She has also led information management consulting practices for many years both in the US and Europe, focusing on both data management as well as broader management consulting.

As an active contributor to the data management community, she is a long time DAMA International member, Past President and Advisor to the DAMA Rocky Mountain chapter, and was recently awarded the Excellence in Data Management Award from DAMA International in 2016. She was also on the review committee for the Object Management Group’s (OMG) Information Management Metamodel (IMM) and a member of the OMG’s Finalization Taskforce for the Business Process Modeling Notation (BPMN).

She has worked with dozens of Fortune 500 companies worldwide in the Americas, Europe, Asia, and Africa and speaks regularly at industry conferences, including a monthly webinar series with DATAVERSITY on Data Architecture Strategies. She has co-authored several books including Data Modeling for the Business, Data Modeling Made Simple with ERwin Data Modeler, and as a contributor to Metadata Solutions. She is a regular contributor to industry publications and organizations such as DATAVERSITY, EM360 Tech, Information Management & TDAN.