Gap analysis : is a technique used to assess the difference between the current state and the desired future state of a process, system, or organization. It identifies gaps or discrepancies in performance, capabilities, or resources and helps in formulating strategies to bridge those gaps and achieve the desired objectives [[Review phase of Data analysis - APPA SA]]

ANALYTICS

How quickly u can discover is expploration of vast data is important for data analysts, we need be correct , choose and see whats in there.... have fun

Data Ecosystem

has various elements like produce, manage, store, organize, analyze, and share data also , hW , SW and cloud .
example : a SHOP then its eco system consists of customer details, product detains , purshase details etc, like wise each has its own eco system.

even thou we use make data driven decisions sometime gut instinct may help which builds on our experience. - It can help to solve problem in much more quicker manner.
- Problems with gut instict is : decisions based on gut instinct without any data to back them up can cause mistakes.
  - EG: Consider an example of a restaurant entrepreneur, partnering with a well known chef to develop a new restaurant in a bustling part of the city’s central shopping district. The well known chef has several restaurants across the city. Banking on their reputation, the restaurant entrepreneur and chef followed gut instinct and created another uniquely themed restaurant. However, fundraising efforts fell short to fund the opening of the restaurant after months of planning and preparation. The property will go back on the market to be sold at a loss. Had the entrepreneur done more research, they would've found data showing prospective customers in this new restaurant location were very different from the chef's other restaurants.
***Data + business knowledge = mystery solved