Why ZS associates/ Business analytics

ZS presentation at your campus will be enough to give you a good idea of roles and responsibilities.

Do participate in the ZS campus connect competition, it will give you idea about the kind of work you will be doing. Also, winners get bumped up to interview round



Consulting at ZS is not like Mckinsey/Bain who offer solutions to management problem . ZS claims to work on implementation of solutions.

Roles

Business Analyst- BA will offer sales and marketing analytics, data driven decision making process. 
Business operations : will plan, run and execute plan made by BA, refresh and fine tune the plan according to results and reports. 
Business technologist : build tools for the same



Thinks to talk about in interview:


Z space : collaborative platform + forum to ask questions and leverage knowledge of previous cases within the organisation


Visibility and responsibility : ZS allows freshers to talk to clients in US and doing front end work like giving presentations .


 ZS campus connect competition


I got a my first close experience with the business case through ZS case study. Here are my notes on the same
You can exploit these to understand business analytics

  • First of all : Segmenting data
    •  I got to know what kind of raw data consultants get, and to try and gauge what is important and what is filler
    • (We didn’t have to go and ask for data, I am glad) Question : how do you know what subset to ask data from? It's not like you are given 10 factors and you pick from them. You have to brainstorm and imagine all possible useful metrics
    • With data, seeing connections is easy. Tough part is to check if those connections are true and meaningful or just random sampling misfits
  • Second  : Call plan according to segments and Segment re-evaluation if results hey-y
    • Re-evaluation principals and ideas on quarter results. Modifying action plan and operations
  • Segmenting our raw data after cleaning
    • Choosing important factors by combining variables into more meaningful metrics
    • Preventing over-fitting in raw data
  • New product :
    • (industry specific) : Dose in kids, pregnant woman, elderly
    • Is it a substitute for our existing product?
    • Can it fit into existing distribution network?
  • Other issues like
    • Reallocation of sales rep
    • Sales call plan
  • What information to show to client, what to show to sales head, what to show to sales rep
  • IT considerations