A clear strategy is vital to the success of your investment in data and analytics. We help you apply the latest in data analytics and machine learning using a four step approach.
1. Planning and discovery
- Identify business objectives and needs
- Enlist sponsors and stakeholders
- Define scope and schedule
- Uncover technology and data assets
2. Data assessment
- Document current business processes, data sources, data assets, technology assets, business and IT capabilities and departmental policies
3. Data roadmap
- Perform gap analysis of existing state and the desired future state
- Highlight any gaps in data architecture, technology, tools, processes and knowledge
- Evaluate possibilites for data integration, data storage and data analysis
- List and prioritize strategic options and match with business objectives and needs
- Develop a data roadmap
4. Change management
- List incentives and ongoing metrics
- Define rules and principles to govern data
- Manage organizational, social and technical change
Following this 4-step approach will increase your chance of success and provide you with the necessary deliverables to start designing a technical solution.