The document outlines a simplified analytics strategy aimed at improving business outcomes through faster insights and execution in a hybrid tech environment. It emphasizes the need for data to be accessible, visually appealing, and actionable to drive business intelligence and customer targeting effectively. It also discusses various approaches to analytics, including both hypothesis-driven and discovery-based methods, adapting to ever-changing company goals and data dynamics.

1. SIMPLIFY ANALYTICS
STRATEGY

2. ANALYTICS
➤ Increased results for some
➤ Increasing complexity for others
➤ Discovering real business opportunities can be elusive
➤ Need to follow simpler steps

3. ACCELERATE DATA
➤ Fast data —> fast insights —> fast outcomes
➤ Liberate and accelerate data
➤ Hybrid tech. environment - data service platforms + emerging
big data technology
➤ speeds up execution and service quality
➤ move, manage, mobilise
➤ quicker insights, faster reaction times

4. DELEGATE WORK
➤ Next generation business intelligence
➤ bringing data and analytics to life
➤ Data turned into asset by having right data at right place and
right time in the right form
➤ Visually appealing —> chase data confidently
➤ Intelligence + visualisation seals the deal

5. DATA DISCOVERY
➤ Helps in testing and playing with data
➤ Uncover unclear patterns
➤ Helps in prioritisation
➤ Drives business
➤ Counter failure measures and reduced maintenance
➤ Can take place alongside specific projects

7. ANALYTICS OPERATIONS
➤ Simplify advanced analytics
➤ Easy and elegant power in the hands of the user
➤ Can be flexible and tailor made
➤ Can be used by all departments and all levels.
➤ Company’s inventory can be easily managed

8. MACHINE LEARNING & COGNITIVE COMPUTING
➤ ML - evolution of analytics removing human element
➤ produces customer predictions, enterprise performance
➤ Software intelligence is helping machines make better-
informed decisions.
➤ Effective customer targeting and revenue boosting.

10. EACH PATH IS UNIQUE
➤ Different paths give different results.
➤ Elements are always dynamic.
➤ Company’s culture is key- conservative or organic
➤ Each path must be paved with outcome driven approach.
➤ Goals, technologies, data sources and data types are ever
changing and need to be tackled with.

11. APPROACHES
1. Known problem, known solution -
hypothesis based approach by starting with solution
pilot and test the solution with control group
scale broadly
2. Known problem area, unknown solution -
Discovery based approach to look for data patterns.
Look for correlation and uncover insights.
Data-driven decisions placing action behind data

12. CREDITS
➤ Wikipedia
➤ Google Images
➤ Simplify your analytics strategy by Narender Mulani
➤THANK YOU