Most performance of machines, which helps the organizations

Most of the employees in the companies
feel uneasy by the loads of information. They are excited by these loads of data;
a majority of the executives say that they need more data for companies get
used to. The reason for this quest was believed to be the feeling the
executives have that vast information will consequently bring changes to their
businesses. Companies must acknowledge that success and growth of a business
are realized through proper integration of human resources, business processes,
technological capabilities of the organization and right information (2, 2012).

across the world have started working on Big Data. Most of the Companies like Amazon,
American Express, BDO, Netflix, Capital One are using Big Data. Large
organizations like Google, EBay, Facebook and LinkedIn are built around Big
Data. These organizations are improving their organizational, leadership,
technologies and decision-making skills by joining the data economy and merging
the big data analytic with conventional analytics. Even small companies that
generate the data need big data for data storage, processing and for
protection. To improve internal business operations and decisions,
organizations make use of sensors to track their shipments and performance of
machines, which helps the organizations to improve quality of product and
maintain better relationship with the customers. By adopting Big Data in
business, organizations will achieve goals like time and cost reduction.

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           Big data is, however, creates both
opportunities and problems to businesses. For businesses to reap benefits from
big data, it must be processed and evaluated in a manner that it would help
harness the current situation and bring positive impact to business and improve
its decision-making process (Execs, 2016). By studying the current operations
and process with the aim of enhancing the already existing procedures and
processes, when a new way of solving challenges is available may not be
sufficient, but it would be prudent enough for managers to take it as an
opportunity for improving business and adapt hem to the benefit of the

Big data
poses both opportunities and challenges for businesses. In order to extract
value from big data, it must be processed and analyzed in a timely manner, and
the results need to be available in such a way as to be able to effect positive
change or influence business decisions. The effectiveness also relies on an
organization having the right combination of people, process and technology. By
pure definition, analytics is the discovery and communication of meaningful
patterns in data — but for business, analytics should be viewed as the
extensive use of data, statistical and quantitative analysis, using explanatory
and predictive models to drive fact-based business management decisions and
actions. Analytics helps to optimize key processes, functions and roles. It can
be leveraged to aggregate both internal and external data. It enables
organizations to meet stakeholder reporting demands, manage massive data
volumes, create market advantages, manage risk, improve controls.


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