dcsimg

Five Tips to Improve Your Data Analysis

  • Five Tips to Improve Your Data Analysis-

    Problem: Now that the user has gotten rid of non–relevant outliers and social media noise, how does one confirm whether a trend is problematic or just part of the norm?

    Solution: The user must ask, is it unique in comparison with the behavior exhibited by all possible peer groups? In other words, is this happening everywhere else (e.g., other products, other stores, other geographies, competing products)? Segmenting an opportunity or a business issue is essential for turning this into actionable data.

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-4

    Problem: Now that the user has gotten rid of non–relevant outliers and social media noise, how does one confirm whether a trend is problematic or just part of the norm?

    Solution: The user must ask, is it unique in comparison with the behavior exhibited by all possible peer groups? In other words, is this happening everywhere else (e.g., other products, other stores, other geographies, competing products)? Segmenting an opportunity or a business issue is essential for turning this into actionable data.

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.