As an increasing number of organizations gear up to implement an efficient and effective Big Data system to help them improve performance and deliver better results, most encounter certain roadblocks they weren’t prepared for. It is, therefore, imperative that you understand what exactly you are getting into before you jump on to the Big Data bandwagon.
What are the considerations?
There are a quite a number of factors you need to keep in mind while planning the transition from tracking traditional transactional data to the rich and unstructured data formats that come in from the web.
What’s the way forward?
Although there’s no singular way of deploying such a business solution to cater to industry-specific needs, a planned approach would go a long wayin minimizing risk and increasing the probability of a successful outcome.
What are the challenges?
Although most of us know that information harnessed from external and internal sources is valuable, it is more important to make it accessible and actionable by knowledge workers whenever and wherever required. Also, more data means more noise. So, business analysts would have to classify and filter the data received. Issues pertaining to data privacy, information distribution, information security, data presentation etc. will also need to be addressed.
What are the best practices?
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