Home / Courses / Introduction to Data Strategy – A Practical Approach
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.
Introduction
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
First day provide 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
The second day cover 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:
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.
Home / Courses / Introduction to Data Strategy – A Practical Approach
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.
