Week4 day5
- 1. Simplify Your Analytics Strategy ~ Narendra Mulani Under guidance of Prof. Sameer Mathur
- 2. Signs an Analytics Strategy is Required “We have all these dashboards, but why aren’t we seeing any improvement?” “Why can’t I get the data that we need for our quality improvement project?” “Why do those quality improvement folks ask for all this data and reporting but never seem to know what they need? ”
- 3. What is an Analytic Strategy? A strategy tat ensures analytics development and capabilities are in alignment with enterprise quality and performance goals. Helps to achieve optimal use of analytics. Analytics Strategy should align with other relevant strategies including: BI, IT & QI.
- 4. Steps to Build and Execute a Successful Strategy
- 5. Understanding requirements Identify gaps and mitigate risks Execute plan
- 6. Adding SWOT to Strategy alysis can be layered onto the components and sub compone
- 7. Goals and Strategy #Goals: • Are what the organisation is aiming to achieve. • Define the performance and quality targets of the organisation. • Answer “why” the organisation is engaging in certain activities. #Strategy: • Outline how the organisation expects to achieve its goals. • Analytics must provide insight into past, current, and anticipated future progress towards meeting the enterprise goals.
- 8. Strategy for Improving Quality Quality Strategy outlines the steps and approach the organisation is going to be taking to achieve quality goals. Which QI approaches are utilised will impact which data is required, how it is analysed and how it is communicated. Analytics development teams and quality improvement teams must work closely together.
- 10. Data is the “raw material” of analytics. Modern computerised clinical systems contains dozens of individual data elements. Strategy must consider: • How to determine which data is necessary for quality improvement. • How the data is managed.
- 11. Managerial Relevance Managers are a critical consideration when developing or expanding an analytics capability. Although having the best tools are nice, having the best people is critical to achieve the goals and objectives. A manager must consider: • What kind of people are necessary • The optimal size and composition of team. • Roles and degree of specialisation. • How to attract the best analytical talent.