Big Data applications have gained new momentum in the marketplace, as the benefits of working with larger and larger data sets enables analysts to recognize key business-related trends.

1. Effectively Managing Big Data – An Imperative for Enterprises
Big Data applications have gained new momentum in the marketplace, as the benefits of working with larger
and larger data sets enables analysts to recognize key business-related trends. With the amount of data in our
world exploding, companies face the challenge of processing large amounts of unstructured data quickly
enough to make it useful and relevant to their business. Large enterprises are embracing big data management
systems to better manage their growing stockpiles of information. With integrated storage, analytics, and
applications, Big Data helps drive efficiency, quality, and personalized products and services, producing higher
levels of customer satisfaction and experience.
In an age where every pixel can be tracked and measured, the challenge isn't having the data or accessing it,
but making sense of it all. Analytics at its best informs decision makers, leading to improved decisions. While
analytics do not make decisions, the input from analytics can help intelligent, knowledgeable, experienced
people make better decisions. As the big data landscape continues to evolve, it has become necessary for
organizations to plan initiatives and carefully select the right tools to help decision-makers meet long-term
goals.
Big Data analytics empowers decision makers with the deep-dive capability they need to accurately analyze
the opinions shared with their organization’s customers, suppliers, stakeholders, shareholders, and
employees. Businesses can gain insights that enable them to make faster and fact-based decisions that in turn
can increase customer loyalty and revenue. Understanding what big data is and how it can move your
organization forward is of utmost significance. The solution to the big data challenge is obvious – big data
requires big data analytics tools to process and figure out what's important and what's not.
In order to plan and implement a successful big data analytics project, an organization needs to consider a
range of different technologies and determine what kind of architecture it is going to deploy. Resource
requirements need to be taken into account, as are the scope of the project and how it should be structured
and managed. With high-performance analytics, customers can change their thought processes, change their
businesses and change their approach to the data, and create a competitive advantage.
Although big data applications gaining momentum, only a few organizations are able to tap the benefits of this
Big Data as the current enterprise solutions are unable to handle the incremental volume of these data sets. It
is therefore imperative to look for a service provider who can help companies architect, develop, and deploy
products and business services leveraging Big Data and the cloud.
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