How to implement an effective big data strategy

Posted by James Parkar
2
Nov 16, 2015
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How to implement an effective big data strategy

The term ‘Big Data’ has become very popular among businesses nowadays, with reports suggesting an increase of 43% compared to the previous year. Ever since the year 2013 wherein Big Data was used to measure the real business value, 2015 is going to be a year of Big Data Adoption. Businesses are implementing a predictable road-map for measuring the outcomes using Big Data.       

Let’s take a close look on effective big data strategy that can be implemented for better outcomes.

Recognizing business challenges

Business challenges will have to be identified for effectively using big data. Thus identifying the business challenges can help enhance the existing process and thereby improve productivity. It can also help in reduction of costs. You will have to answer questions such as the things that cannot be done without using big data and how they are going to affect the organization.

Topmost problems will be then prioritized

Once the challenges are identified which can be resolved using big data, you will then have to create an order in which these problems can be tackled. It is desirable to prioritize the most difficult challenges so that it can be resolved using Big Data instead of trying to achieve everything with Big Data and ending up unsuccessful.

Important data sources for your business

The next step would be to understand how the data can resolve the challenges. You should check which of the data would be suitable for resolving the problems. Discuss it with managers since they would be able to clearly define the challenges faced regularly and the data type that can likely help them deal with the issues so as to do the tasks in a much better way. Also find out the data formats that can be integrated in to analytic systems for avoiding any data integration problems.

Engage the business

Real business value is very important for the management executive. More focus would be given on the monetary outcomes the business can achieve before going ahead with the big data strategy implementation.

Begin Small, Become Large

Only a gradual progress in a step by step method has to be expected while setting up a Big Data infrastructure. It is desirable to create a proof of concept so as to define an initial level of achievement. Beginning small is always good for the company since they would be able to understand what benefits Big Data can bring for their organization and how even the smallest details can be addressed carefully.

Decide the data to use and the data to be excluded

It is up to the companies to find out which data is useful for them and which of the data is useless for them. It is necessary to analyze the data that is not at all relevant in resolving the business problems of an enterprise.

Conclusion

There is an emerging need for businesses to remain more flexible owing to the continuous evolution of big data and the changing dynamics. An open mind is required for discovering new insights which are likely to be revealed by Big Data for your business in the years to come.   

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