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Data Analytics
The Data Analytics Team provides the leverage to generate faster insight and fact-based strategies.  Our experienced consultants enable analysis across the spectrum of analytical methods, data complexity and subject domains.

With an unmatched breadth and depth of consultant skills, a datacenter capable of handling terabytes of data and state of the art software tools, the Data Analytics group is uniquely poised to handle all steps of the analytical process:

Data Management
We have many years experience in dealing with all forms of data, including traditional relational databases:  extracting, sampling, transforming, developing database architectures and conducting data quality evaluations.  Our datacenter gives us the capability to handle very large datasets and our experience with cloud computing allows us to scale as needed.

Analysis
Pairing the specialized skills of our consultants with state of the art analytical software, we have the capability to perform statistical analysis, time-series forecasting, predictive modeling, optimization and simulation.

Reporting
Data Analytics can provide the gamut of reporting solutions:  traditional customized (ad hoc) reports, charting and graphing, OLAP cube development or more advanced data visualization techniques.

  • Faster time to insight when working with large amounts of structured or unstructured data
  • Access to advanced analytical methodologies
As with the whole of A.T. Kearney, we are results-driven and seek innovative solutions for our clients. As such, our analysts have a business mindset and an affinity to areas that are traditionally data-intensive:
  • Category Management Analytics
  • Category Solutions:  Packaging & Transportation
  • Collaborative Complexity Management
  • Collaborative Optimization
  • Cost Regression Analysis
  • Cost to Serve
  • Network Design
  • Merger and Acquisition
  • Procurement & Sourcing Opportunity Assessment
  • Savings Tracking and Visibility
  • Spend Assessment & Refreshable Spend Cube
  • Supply Chain Management

 
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