Guide for Effective Big Data Management


Big data is all about information. It is a new trend in the world which is aimed at helping organizations understand and make better decisions. These decisions are based on large amounts of structured, unstructured and complex data which include commercial transactions, videos and even tweets. Needless to say, processing all this data is challenging and at times impossible if you don’t have a sound big data management plan. When properly handled, big data will help an organization with product development, operational efficiency, market development, market demand predictions and customer experience and loyalty. But how do you approach big data management? There are a few tips you should consider using.

  • Identify key data resources

Knowing where to find the data is the main challenge that most organizations face. Although you can pick specific resources, it is always wise to broaden your scope and collect as much data as you can. You need to remember that you will be able to narrow down the data later on thanks to the use of analytic tools such as those provided by Salesforce.

  • Refine the data

Not all the data you collect will be useful. This is why the next step has to be whittling down the collected data. To do this, you need to set goals and objectives prior to analyzing the data. You need to be as specific as you possibly can. For example, if your goal is to improve employee performance, be clear on the skills or tasks that you will be focusing on. You will also have to measure their current performance. All in all, don’t discard the unused data.

  • Pick a scalable analytics tool

Big data keeps on getting bigger. Don’t pick a tool that will not accommodate all your future needs. The ideal analytic tool has to be both scalable and flexible. A good tool to consider is that at You will find a great management solution for your needs. Salesforce should also not be ignored.

  • Pay attention to the trends

Before you start analyzing your data, it is good to keep an eye on the trends and patterns. The last thing you want is to collect and analyze data that will not be applicable in your industry. To make sure you are on the right track, you have to know what is happening around you. You also need to take a look at the trends in your own organization and not just those in the industry.

  • Create a priority list

To be able to focus on one issue at a time, you will have to come up with a big data priority list. The priority list will help you know which issues need to be addressed immediately and which ones can wait. Issues that impact the performance of your organization need to be addressed immediately.

  • Secure your data

Last but not least, all the data you collect have to be protected. All sources must be encrypted and the information verified.

These points will help you get started on the right foot when it comes to big data management. All in all, you must know when it is time to outsource. You cannot always do everything on your own.

  • Author Bio

Lucy Jones is a big data expert with years of experience using Salesforce. She works with organizations in San Diego and always recommends the use of You can connect with him on LinkedIn to learn more.



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