Best Practices for Big Data Analytics

June 23, 2016 Published by:

Best Practices for Big Data Analytics

As a business, you need to constantly look forward to improving your business processes. This not only lets you increase enterprise productivity & profits, but also offers you a competitive edge over your rivals. In the last couple of years there has been increased talks surrounding big data analytics. Here we list some of the best practices for big data analytics.

Know Thy Needs

Big data solutions can be implemented in many ways. Hence, you need to start by understanding your needs before you start gathering data. It should add to your operational efficiency, and solve business problems. How would big data analytics help you? How would data be analyzed? You need to start by fixing business goals and align them with data analytics to derive maximum advantages out of this. You should be aware of the data requirement, and take note of the process which sources the data

Make A Slow Start

The possibilities with big data analytics is limitless. Hence you need to make a slow start. Select one area of your business where you can apply this solution and improve decision making. Before proceeding further, let this first attempt gather enough steam. If this solution yields proven results, you can implement this solution across your entire business operations. If it fails you need to get back to the drawing board and recast a new strategy.

Focus on Collaboration

For your Big Data initiative to be successful data analysts and different business unit teams must work in collaboration to ensure its success. You need to make sure data gathered is regularly fed into the solution automatically to ensure its success. If one end in this chain is broken you won’t be able to draw benefits out of the solution. Work on a collaboration strategy from ground up instead of looking at it from top to bottom.

Think of Decisions not IT

The main aim behind implementing big data solutions is to help enterprises make informed decisions, and minimize assumptions and suppositions while taking decisions. Some businesses make the mistake of implementing Big Data analytics in IT instead of decision making which is a complete waste of the entire process. This merely results in numbers and stats and does little to realize the immense scope of big data analytics to make informed decisions.

Understanding The Impact

It is equally important for any business to understand the impact of big data on the business process. Though big data is likely to benefit almost all businesses in the long run, in the short run it may give you some hiccups. You require to invest on the necessary infrastructure, and training of analysts. You need to come up with a new approach for data collection, storage and analysis. You need to foresee this impact and prepare a strategy to deal with it.

If you have been looking out for a big data consultant, your search ends here! We, at Semaphore Software, have implemented big data solutions for businesses across industries and tailored them to meet specific needs. Drop us an email at info@silvertouch.com to know more about the possibilities with big data.