How to implement Big Data in your organization?

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Below we give you all the keys to implement Big Data within your company in an effective way.
When the objective is the implementation of Big Data in a given organization, the first thing to do is to detect how much value Big Data can offer to the company.

That is, we must observe what we are not doing and what we would like to do, what information is not being captured or analyzed and proceed to identify it. In addition, it is necessary to quantify the value that can be obtained from it.

Once these actions have been carried out, it will be possible to decide which Big Data project will be most suitable for the company.


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Choosing the Right Big Data Data Warehouse
Before starting, we must understand which technology best suits our needs, and this will depend on what our objectives are.

For example, if what I want is to perform a real-time event analysis, what I need is CEP technology to be able to determine it, while if my objective is to perform a predictive analysis, I need databases with MPP fantuan database capabilities that can perform an analysis of the current situation against the entire history.

Knowing (and getting ahead of) the business is imperative
Every Big Data initiative needs business profiles that know the business in detail, since new roles will appear, such as Data Scientist or Data Analyst, and many things hidden in the data will be discovered that we often don't even know are there.

For example, to carry out a complete sentiment analysis of the perception of your brand and your company, we need to have a thorough understanding of the product we offer, what channels we use, what profiles we target, or what advertising we carry out, with the intention of being able to find all the valuable information behind the data.

Depending on the business in question, there will be more or less information to investigate, and that is precisely why it is important to know as many details as possible about the business in question.