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Data Reconstruction

It’s common for organizations to have volumes of data from a variety of sources stored in multiple locations. To make matters worse, this data is often “dirty” — field names are inconsistent, similar data is in different formats, information is missing, and so on. This leads to a lack of comprehensive understanding and an inability to use the data to guide decision making. KCIC excels at transforming disorganized data into clean, accessible information that can be leveraged to solve business challenges.  

The data reconstruction life cycle includes:

  • Outlining goals and identifying information sources
  • Extracting and combining data
  • Normalizing and standardizing data
  • Understanding and validating
  • Performing analytics
  • Providing insight and guidance
Data Reconstruction