Beginner’s Guide to the Best Big Data Solutions

Companies are increasingly finding themselves with a lot of data. When data is not handled correctly, reporting can be a challenge denying the organization a much needed competitive advantage. Data will help those charged with governance in optimizing their operations.

Proper reporting cannot at times be supported fully by existing applications hence a need to cast the net wide and look for big data solutions. Listed below are considerations that every beginner’s guide to the best big data solutions must have:

Do we Buy or Develop?

data developmentAs mentioned above, all the organizations have an application that is already existing. An evaluation needs to be done to see if it will be necessary to improve the existing application or discard it and develop a new one in its entirety.

While the user interface should be appealing, the business intelligence should be on point. It should be able to handle datasets that are large, fast in execution and running of queries and perform other analytics. Regardless of the decision made, big data solutions are always costly.

Ease of System Implementation

The money will not only be spent on either developing or buying the applications, but also on its running. There are so many other hidden costs that these solutions will gobble up.

When a system is developed, it takes time for it to be fully integrated with the in-house applications. This extended period before use may stretch the resources. Secondly, when a solution is bought, there may need to do training which may not be cheap considering the fact that external facilitators may be needed.

Check Your Requirements

dataThere so many solutions in the market. While they promise the same thing, you need to take a cursory look at them and see the differences. It is advisable that a trial version is downloaded and test runs done.

During the test runs of the trial versions, you will be able to analyze the solutions in terms of the reporting dashboard, data handling and preparation is the querying in-built and the data analytics.

In the recent past, different vendors and developers of end tools are now specializing in developing solutions for specific industries. Hospitality, manufacturing, non-profit industries now have their tailor-made solutions to address their specific data needs.

Potential for Development

Business processes are dynamic. The landscape of doing businesses keep changing and so should be the end tools being used. Secondly, when risk assessment is done, potential threats may be identified that may require the solutions to be upgraded or new features added.

To circumvent the problems of repurchasing another system and retraining staff, choose a solution that is easy to upscale and can handle more workload.