
Subho and Payal's story shows solving analytics under time pressure across time zones, detailing YoY declines and the need for complete filters and dimensions to reduce rework and deliver insights.
Explore insights generation frameworks to define success with multiple metrics, and apply the four framework, the 8020 rule, and two-by-two matrices to transform data into actionable observations.
Analyze the data set to assess sales member performance across products, regions, and time (year and quarter). Use unit sales and targets to generate actionable recommendations and a dashboard.
Do you wonder how analytics and AIML products and deliveries start with a solution?
"Datascience is as much an art as a science"
Problem solving may seem an art, but it is as much a science - frameworks and checklists will help us break business objectives into analytical objectives and finally solve them. This masterclass helps break some of the artistic bits into scientific chunks that can be implemented right away. This course deals with:
1) Requirement Gathering Framework to enable a perfect start
2) What is an Insight and the generation process for the same
3) Business frameworks to aid
4) A case study with walkthrough of application of frameworks
5) 1 case study that tests insights generation through visualization
6) 1 case study that is implemented by us
7) How to start implementing according to your role, functional area and experience
This course will help the following groups:
1) Students who want to learn and evolve in various data science related areas
2) Data & Analytics professionals trying to practice problem solving and take it to the next level
3) Business professionals in any functional area like marketing, operations, finance, HR and IT trying to leverage analytics to make decisions
4) Analytics Leaders trying to set better processes for their teams
Hope this course helps become analytical better solvers.