Running head: DATA ANALYTICS1Data AnalyticsNameInstitutionDATA ANALYTICS2Data Problems Since 2000sThe emergence of big data involves huge data volumes. It applied as the workersdeveloped data. Currently, the networks, machines, and human interaction with the processessuch as social media makes analyzing and collecting data volume to become massive inproducing data (Bhattacharya, 2013).The variety of unstructured data develops problems inmining, storage, and analyzing the data. Velocity shows that data flow is continuous and massivethus making it a problem for a business to analyze and make a strategic competitive edge (BigData Analytics - What it is and why it matters, 2019.).Veracity implies the noise, biases, and abnormality in the big data. Veracity in theanalysis of data is the greatest challenge if compared to things such as velocity and volume. Itbecomes a problem to eliminate dirty data accumulating in the systems. Besides, validity hasbecome a problem in big data due to the need for accurate and correct data for its intendedapplication to make the right decisions (Big Data Analytics - What it is and why it matters,2019). Furthermore, value has its challenges in determining how long the data remain valid andtime of storage. It is difficult to determine the relevance of data to the current analysis.Solutions of IT on The 5Vs ProblemsThe IT managers apply data governance to warrant data quality, improve, and leverageinformation to maintai ...
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