Most of us already know this: possessing a huge amount of data does not really serve your organization or institution that much if you do not possess the right analytics to help you sort out and make sense of the enormous information.
When you use systems which are not up-to-date and inefficient, the enormous mountain of data that you possess will only result in lots of data being lost and not properly sorted out. This kind of principle is also true when you are managing large content pools.
This is where content management systems converge with big data analytics. Lots of knowledge workers who manage a pile of contents (specifically: media workers who have to produce these contents on a daily basis) as the core part of their business, need to know how to use big data effectively to manage their products. The analytics should have several key features such as the ability to combine and analyze content and data from various sources. Yet, the trick of the journey is: this deceivingly simple action is extremely challenging; some people can even consider them impossible.
Lots of reports have revealed that the big data technology has evolved for the better over the years and that it will only get better, owing to the fact that more and more data are being mined from individuals from the worldwide web every second. Yet, when knowledge workers do not use up-to-date software and analytics tools in order to keep up with the latest evolution of big data technology, the companies and institutions which use the outdated softwares will only be left behind.
Another challenge: there are lots of applications which can be used to manage and organize big data. So, you need to really think about the applications which can bridge the gap between their systems and the solutions that your companies really need, which require integration between different data types.
According to Splunk EMEA Channel Manager Martin Panter, in order to make sure that your big data will result in big intelligence, organizations and institutions need to find data warehouse and business insight solutions which are capable of handling big volume, velocity, variety and variability of the data. These four elements, featured in the most updated softwares, are essential.
Finally, why should your organization care about using the latest software with the four elements? There are several benefits which can be mentioned. The benefits include better data protection and management schemes. These updated softwares with the advanced features also lead to better business decisions as it leads to higher precision of market mapping and insights.
So, if you have not updated your big data analytics solutions, then look for the softwares which have stayed abreast with the most recent developments.
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