6 Mistakes Enterprises Commit in Big Data Project
No Defined Business ProblemThe most basic question that any enterprise should ask before adopting Big Data is “Why do we need it?” Unfortunately, most are simply jumping into the bandwagon without defining the business problem that can be solved using Big Data. Dumping data for the sake of doing so is useless, unless some real analytics is drawn from it.
Ignoring Proof of ConceptProof of concept (POC) is considered to be a valuable element of Big Data projects. Also known as the “proof of value”, it helps identify and define the benefits of the project. The POC must address the real need of the project, without forgetting to highlight whether it is doable or not.
Reliance Only on TechnologyAnother mistake enterprises make while using Big Data is that they tend to rely only on technology. What many fail to understand is that Big Data is more like a powerful set of tools – it is not the solution. Collecting data with the help of technology isn’t enough. What is more important is understandingthe significance.
Ignoring the “Human Factor”Human resource is a vital clog in the wheel for any technological innovation. When Big Data is looked solely from a technological viewpoint, the wheel is bound to have problems. Data scientists or the persons who know how to work with large amounts of data are very important. Their knowledge and ability to understand analytics in-depth is what can help enterprises with Big Data. Unfortunately most enterprises ignore these data scientists.
Relying on Tried and Tested FormulaWithout a fair understanding of how Big Data can be beneficial, enterprises make the mistake of falling back on tried and tested formula while interpreting data. Relying on such a formula can lead the enterprise to falsely conclude data.
Analytics Not Translating into ActionIt has been a problem even with traditional analytics, where no action is taken after the results are out. Unless lessons are learnt from the analytics, there is practically no use of incorporating Big Data into an enterprise. It is very important that a model is operationalized so that it becomes actionable. Semaphore Software provides Cloud Computing App Development and Big Data Analytics services that help enterprises take better business decisions. Contact us through email@example.com to know more about our Big Data services.
About Himanshu Chudasama
Himanshu Chudasama, an eloquent professional, and an experienced leader, has a deep knowledge in different segments of information technology particularly Web and Mobile Based applications. With a vast experience ranging from project development to management to acquiring and retaining clients, Himanshu Chudasama has acquired both experience and expertise along the way. His love for reading, a strong observation power, and experience ranging in different sectors and industry verticals, help him give out optimum IT driven solutions.