dcsimg

Five Tips to Improve Your Data Analysis

  • Five Tips to Improve Your Data Analysis-

    Problem: Now that the user has verified a trend as a problem, they must dig further to establish why this trend occurred in the first place.

    Solution: The user must ask why this happened. What are the possible drivers for this phenomena? Go deeper into the weeds, look at all related data, detect precisely what is unique here, and you will arrive at an informed analysis. Using domain expertise in this process is key.

1 | 2 | 3 | 4 | 5 | 6 | 7

Five Tips to Improve Your Data Analysis

  • 1 | 2 | 3 | 4 | 5 | 6 | 7
  • Five Tips to Improve Your Data Analysis-5

    Problem: Now that the user has verified a trend as a problem, they must dig further to establish why this trend occurred in the first place.

    Solution: The user must ask why this happened. What are the possible drivers for this phenomena? Go deeper into the weeds, look at all related data, detect precisely what is unique here, and you will arrive at an informed analysis. Using domain expertise in this process is key.

The challenge of Big Data and manual analytical methodologies grows. With Big Data enterprise adoption rates growing year over year, companies face the daunting task of integrating and making sense of all this new information. Millions of tracked statistics, figures, and reports are coming in every week. These are a few of the many obstacles that stand in the way of harnessing the value of enterprise data.

For companies that look for real business value by analyzing this data, Verix has identified five tips to help you through this process.