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With big data past the Peak of Inflated Expectations on the Hype Cycle, organizations are addressing next-level challenges and asking, "How do we organize for big data?" Here, we advise analytics and information leaders to move from conducting experiments to planning for production.
Table of Contents
Think of Organizing for Big Data as Creating the Right Process, Before You Think of It as a Department
- Step 1: Collect Ideas
- Step 2: Conduct Experiments
- Step 3: Diligence and Validation
- Step 4: Implement the Solution
Treat Big Data Exploration as a Separate Capability, Starting It in a Separate Team
Build a Data Scientist Skill Set Comprising Quantitative, Technical and Business Skills
Fund Big Data Initiatives as Innovation Costs, and Not Only by Business Case
Apply Agile Information Governance
- Think of Organizing for Big Data as Creating the Right Process, Before You Think of It as a Department
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