How to implement an effective big data strategy
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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