Capgemini case study Analyze the data analytics strategy adopted by the company. This should include a description of the data collection methods, data exploration tools used, metrics identified, visualization methods, models generated $($if any$),$ and results reached. Answer the following questions in your analysis:

Was it a good strategy? What is your justification?

What was wrong with the siloed reporting approach applied at Capgemini? What problems may it have caused?

What were the main KPIs used? Are they important? Why?

Do you suggest other KPIs? If so$,$ why do you believe they would be important?

Provide a critical analysis of the Talent Matrix and the dashboards generated by Qlik. Answer the following questions in your analysis:

What value do the dashboards have?

How can they enhance the HR management performance at Capgemini?

Write a proposal showing how Capgemini can benefit from implementing predictive and prescriptive analytics to reach its objective $($as$,$ so far, Capgemini used the data analytics tool Qlik for descriptive statistics$).$ Focus on:

The advantages that predictive and prescriptive analytics can provide Capgemini.

The data sources the company may refer to in order to make better use of these types of analytics $($e$.$g$.,$ talent pools such as university graduates, personality tests, skills$-$job fit, etc.$).$

The techniques you recommend to be used $($e$.$g$.,$ regression, decision trees, neural networks, optimization, etc.$)$ and how each technique would benefit the company.