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There is a great deal of data available to the corporate world. Data generated by their own transactions as well as external data. What dilemmas do companies face relative to managing mass amounts of data? How do they manage it? Discuss some examples of how companies are managing large amounts of data, where the data is coming from and what are some of the issues/dilemmas.
Expert Answer
Two dilemmas companies are facing big data management are
-Categorizing data within an inch of its life. Companies make benefit by normalizing data through centralizing, cleansing, classifying and structuring it.When the cleansing and organizing is done, the data doesn’t provide answers to real business questions. This happnes because companies are collecting and managing big data with little to no forethought.
-Collecting data indiscriminately. They collect the data from various sources and all sources are not relevant for the larger benefit of the organization. Increasing amounts of big data into spreadsheets typically provides no value in and of itself.
They manage it by analysing the big data and devising proper data analytics as what will be the benefit for the purpose and strategy of the organization.Data analytic isn’t a solution to any business problems it only helps in finding out way to solve the problem.It assist in taking decision by analysing the big data.
