Introduction to Data Strategy – A Practical Approach
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.
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 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 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
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.
If the cancellation is made later than two weeks before the start of the course, we will charge half of the course fee.
If no cancellation is made at all, we will charge the full course fee.
A blocked participant can be replaced at another cost free of charge.
We reserve the right to cancel or postpone the training if there are not enough participants.
Member price (for TIVIA Society’s members) 1 710 € (+ VAT 24 %)
Normal price 1 900 € (+ VAT 24 %)
If you are not already a member of TIVIA, JOIN NOW (membership fees from 65 €) and pay TIVIA member price for this course!