The cost of not being prepared to take advantage of your company’s data has never been higher.
Data and analytics are tied to the success model for business today. Clients expect more transparency, faster communication and more accuracy than ever before. Luckily, the tools needed to meet those expectations have never been more affordable or available.
Data analysis is important in business to understand problems facing an organization, and to explore data in meaningful ways.
-Harvard Business School
Projects relating to data and analytics, or business intelligence (BI) are often managed with a phased approach. The BI journey is different for every company, and where you start depend on maturity, size, scope and business tools.
Generally speaking, most projects have a basic progression:
- Planning and Requirement Gathering
- Data Governance Planning
- Technical Solution Prototyping
- Data Gathering, Modeling and ETL
- Iterative Build, Test and Design
- Deployment
- Iterative Improvement