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Five Tips to Improve Your Data Analysis

  • Five Tips to Improve Your Data Analysis-

    Problem: Big Data comes from many disparate sources. Putting it all together is challenging. You need to normalize and analyze huge sets of data. However, pre-determining what’s important creates a silo effect – looking only at a narrow view.

    Solution: “Correlations and patterns from disparate, linked data sources yield the greatest insights and transformative opportunities” – Gartner. Use a robust ETL system to take any possible data into account and logically analyze what is and what isn’t relevant. Avoid misconceptions due to lack of information. Findings are often quite surprising. 

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Five Tips to Improve Your Data Analysis

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  • Five Tips to Improve Your Data Analysis-2

    Problem: Big Data comes from many disparate sources. Putting it all together is challenging. You need to normalize and analyze huge sets of data. However, pre-determining what’s important creates a silo effect – looking only at a narrow view.

    Solution: “Correlations and patterns from disparate, linked data sources yield the greatest insights and transformative opportunities” – Gartner. Use a robust ETL system to take any possible data into account and logically analyze what is and what isn’t relevant. Avoid misconceptions due to lack of information. Findings are often quite surprising. 

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.