Big Data Strategy
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The document discusses the importance of a business-driven data strategy across various sectors, emphasizing that improving data quality and accessibility is a means to create business value rather than an end goal. It suggests identifying critical data assets, organizing data flows within a coherent ecosystem, and establishing a federated governance structure for ongoing data management. Additionally, the document warns against dismissing big data and encourages organizations to rethink value generation through data and algorithms.
Big Data Strategy
- 2. ! Telecommunication ! Financial Services ! Consumer Goods ! E-Commerce ! Government ! Political Activity ! Transportation MAIN SECTOR
- 3. It is not technology problem, but it is a business problem
- 4. ! Creating Business Value: Improving the quality or accessibility of enterprise data is not an end in and of itself. It is merely an enabler for creating business value. The data strategy must be driven by an understanding of how information can enable or improve a business process. The data strategy does not need to identify all possible business benefits, but it should define several that are material to the business and measurable. Establishing some early, visible benefits is important to launching the data strategy and giving it momentum. ! Identify Critical Data Asset: Not all data in the business is critical. In fact, most data is specific to an application, business function or transaction. Data that is critical typically has two characteristics: It is associated with something of long-term value to the firm (e.g., product, customer or financial information) and It is used across multiple systems and business processes. KEY SUCCESS (1)
- 5. ! Data Ecosystem: For most businesses, data is an active asset that is captured, created, enhanced and used in many business processes and applications. To manage this dynamic environment, the flows of data across systems and processes need to be organized in a coherent way. We use a business architecture (not a technology architecture) to define core data capabilities that business and IT must create together. These capabilities organize technology platforms and business processes based on their function in the ecosystem: capturing and creating data, cleansing and organizing it, mining business insights from it, and using those insights to drive intelligent actions in the business. ! Data Governance: the implementation of a data strategy is not a project; it is an ongoing function of the company that must be governed. Because data is so ubiquitous, the governance structure must be federated, with a central governing body addressing the most important, common data and most of the data managed locally in the lines of business. KEY SUCCESS (2)
- 6. So don’t dismiss Big Data as useless, just because it’s being hyped. • Rethink how your organization adds value. • Treat Big Data and the algorithms that run them like managing top talent. • Ask “What value matters most, and what marriage of data and algorithms get us there?” instead of how do we get more value from more data?
- 7. ! Data Protection ! Data Privacy ! Very BIG BIG Data ! Structured vs Unstructured Data ! Not focus on specific process as a strating point ! Impact for the business? CHALLENGES
- 8. Thank You Heru Sutadi Email: hersut@outlook.com Twitter: @herusutadi