Treat your data science project like a startup, a data science journey begins with top-level management approval and internal funding. New technologies will need to be purchased and most likely new team members hired. Use the “Lean Startup Playbook” to guide the project. This means work backward from the customer (in this case the management team and department leaders), have a big vision but focus on quick deliverables and short iterations (something new must be given to customers at least every 2 weeks) and be prepared to pivot to please the customer.
Key Takeaways:
- Businesses are set to work more within agile data warehouses, which create a balanced, decentralised framework to enable a mix of workloads and data types.
- Working together to pool data and insights gives organisations a better view of trends and challenges. Self-service tools let more employees interact with data, broadening the pool of intelligence and letting users engage with information in new ways.
- Organisations remain challenged when it comes to turning data insight into actions. This requires disciplined testing, as well as a solid business case.
“Organisations remain challenged when it comes to turning data insight into actions. This requires disciplined testing, as well as a solid business case.”
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