Introduction
Enterprises are increasingly managing large, diverse, and fast-moving data sources that can unlock significant strategic value when used effectively. Big Data Strategy for Enterprises helps leaders understand how to approach large-scale data as a business asset, not simply a technical challenge. The course focuses on strategy, governance, architecture awareness, and organizational readiness, enabling participants to make informed decisions about enterprise-wide data capabilities and investments.
Course Objectives
- Understand the business significance of big data
- Recognize enterprise opportunities created by large-scale data
- Strengthen strategic thinking around data infrastructure and governance
- Evaluate readiness for enterprise data initiatives
- Align big data capabilities with organizational goals
- Support better investment and transformation decisions
Target Audience
- Executives responsible for enterprise strategy and transformation
- Senior managers overseeing data and digital initiatives
- Business leaders evaluating enterprise analytics capabilities
- Department heads involved in large-scale data use
- Governance and operations leaders supporting data programs
- Decision-makers responsible for enterprise technology investment
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Day 1: Big Data in the Enterprise Context• What big data means in practical business terms
• Characteristics of large-scale enterprise data
• Strategic opportunities created by data scale
• Examples of big data value across industries
• Common misconceptions about enterprise data initiatives0 - Day 2: Strategy and Business Alignment• Connecting big data initiatives to strategic priorities
• Identifying high-value enterprise use cases
• Balancing ambition with business relevance
• Building executive sponsorship and alignment
• Workshop: Mapping enterprise big data opportunities0 - Day 3: Governance, Quality, and Capability• The importance of enterprise data governance
• Managing quality, consistency, and accessibility
• Roles, ownership, and accountability in data strategy
• Creating the conditions for trusted enterprise data use
• Practical activity: Reviewing enterprise data capability gaps0 - Day 4: Infrastructure Awareness for Leaders• Understanding platforms, storage, and integration at a high level
• Supporting business decisions around architecture and investment
• Balancing flexibility, control, and scalability
• Managing change in complex enterprise environments
• Case study: Big data strategy in large organizations0 - Day 5: Building a Sustainable Big Data Roadmap• Prioritizing phases of enterprise data development
• Embedding big data into transformation strategy
• Measuring progress and business value
• Strengthening long-term capability and governance
• Final group project: Presenting a big data strategy for an enterprise scenario0







