An analytics strategy ensures analytics capabilities align with enterprise goals for quality and performance. It identifies gaps and risks to achieve optimal analytics use. Key steps include understanding requirements, identifying gaps and risks, and executing the plan. The strategy should align with other strategies like business intelligence, IT, and quality improvement. It defines how the organization will achieve goals through analytics by providing insight on progress. The quality strategy impacts what data is needed, how it is analyzed, and communicated. Analytics and quality teams must collaborate closely. The strategy also considers necessary data, data management, and attracting analytical talent to achieve objectives.

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.

9. Data and Processes

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.

12. –Veerbhadra Sharma
“Thank-you”