Course Overview

The need for organizations to create a comprehensive data strategy and data management plan is greater than ever, with the rise of the data-driven organization casting a larger spotlight on data-driven initiatives. 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 course will help de-mystify data strategy and data management, and will provide concrete, practical ways to get started. Hands-on activities and workshops will be included that help apply the concepts to your unique organization.

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

Day 1

Day One provides an overview of the main components for building a data strategy and associated architecture. A key focus will be on aligning the data strategy with the organization’s business strategy to support becoming a more data-driven organization. An overview of the key components of data management will be covered including: metadata management, data architecture and data modeling, data quality, BI and data warehousing, Big Data and analytics, master data management, and data integration. Hands-on workshop exercises will be provided to give students the opportunity to apply the techniques they’ve learned. 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
• Building the Data Management Foundation
  • Metadata Management
  • Data Architecture & Data Modeling
  • Data Quality
  • BI and Data Warehousing
  • Big Data & Analytics
  • Master Data Management
  • Data Integration
  • Workshop: Assessing Current State Maturity
• 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
  • Workshop: Prioritizing Business-Critical Data Objectives

Day 2

Day Two 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. In the afternoon, students will integrate all of the topics learned in the course in an interactive workshop to build a roadmap and implementation plan for their unique organization. Topics include:

• Data Governance
  • Data Governance Overview
  • Aligning Data Governance with business objectives
  • Organizational structures
  • Data stewardship & roles
  • Processes & workflows
  • Tools & technologies to support data governance
  • Workshop: Data Governance exercise
• Defining an Actionable Roadmap
  • Identifying “quick wins”
  • Showing success metrics
  • Culture & communication
  • Workshop: Building an Actionable Roadmap