For companies that look for real business value by analyzing their data, here are five tips to help you through the process.
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.