Data Science and ML in Cricket

 Objective of the data science in cricket  - Increate team performance  - Maximiser winning chances  Here's a simplified version: --- The IPL has expanded cricket, increasing the number of matches and the amount of data collected. Modern cricket data analysis involves tracking various factors like player positions, ball movements, shot types, delivery angle, spin, speed, and trajectory, which makes data cleaning and preprocessing more complex. **Dynamic Modeling** In cricket, numerous variables must be tracked, including player actions, ball attributes, and potential outcomes. The complexity of modeling depends on the type of predictive questions asked. Predictive models become especially challenging when analyzing hypothetical scenarios, like how a batsman’s shot might change with different ball angles or speeds. **Predictive Analytics Complexity** Cricket decision-making often relies on queries like "how often does a batsman play a specific shot against a certain b...
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Data that help maximize your sales

Data to optimize your sales.

Data that can help you to get maximum leads, and Conversions.

Data for sales management.



  Analyze the user analytics

Every organization must have their user analytics on their product, Getting feedback, Comments, Service status etc.

Benefits of having user analytics.

  • Users registered :
  • Sentiment analysis of the user : 
  • Happy users:
  • Service status :

Competitor Analysis

    It is important to have data ready of competitor Analysis reports and data to Analyse market situation and status.

What Competitor is offer what it's price comparing to our.

Benefits

  • Adjusting the price according to a competitor
  • A market situation where we are standing
  • Understanding of competitor products and analyze the feature they offer.

Customer sentiments analysis. 

It is important to understand customer sentiments about the products because when we understand what the customer's problem is and what actually it is looking for will be easy to understand what need to bring in the market.


Predicting the Customer behavior.


What is sentiment analysis?

    Sentiment analysis is a process of analyzing customer's feedback on products and services. it can be categorized in "Good ", "Bad", "Natural". 



               

 


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