BigData Analytics Aleksandar August 18, 2016

BigData Analytics

BigData Analytics

BigData analytics examines huge amounts of data to uncover hidden patterns, correlations, and other important insights. With today’s advanced technology, it is possible to analyze your data and get resolutions almost immediately. Analyzing Big Data allows analysts, business users, and researchers to make better and absolute decisions using data that was previously inaccessible or unusable.

Using advanced analytic techniques such as machine learning, text analytics, predictive analytics, statistics data mining, and language processing. Businesses can analyze previously untapped data sources independently or combined with their existing enterprise data to achieve new insights resulting in significantly faster and more satisfactory decisions.

Tools and Technologies:
There’s no individual technology that encircles Bigdata analytics. Of course, there is advanced analytics that can be applied to Bigdata, but in fact, several types of technologies work together to help you get the optimum value from your information.

Hadoop: This open-source software framework can store large amounts of data and run applications on a bunch of commodity hardware. It has become a key technology to doing business due to the constant increase of data volumes and varieties, and its distributed computing model processes big data fast. An additional benefit is that Hadoop’s open-source structure and framework is free and uses commodity hardware to store large quantities of data.

Data management: Data needs to be of high quality and well-maintained before it can be reliably analyzed. With data persistently flowing in and out of an organization, it’s important to establish repeatable processes to build and maintain standards for data quality. Once the data is genuinely reliable, organizations should establish a master data management program that gets the entire enterprise in the same sector.

Data mining: Data mining technology helps you inspect large amounts of data to discover patterns in the data, and this information can be used for further analysis to help answer complicated business questions. With data mining software, you can separate through all the confused and repetitive noise in data, pinpoint what’s appropriate, use that information to assess likely outcomes, and then fasten the pace of making informed decisions.

In-memory analytics. By analyzing data from system memory you can derive immediate awareness from your data and act on them quickly. This technology is able to remove data prep and analytical processing remission to test new scenarios and create models; it’s not only an easy way for organizations to move quickly and make better business decisions, it also enables them to run iterative and interactive analytics scenarios.

Some of the other technologies are PREDICTIVE ANALYSIS used in fraud detection, risk management, operations, and marketing, and TEXT MINING used to analyze a large amount of information, it uses natural language processing technology to comb through documents, and surveys and to discover new topics and term associations.

Benefits:
Big data analytics helps organizations utilize their data and use it to identify new modules. That, in turn, leads to smarter business moves, more systematic and efficient operations, higher profits, and customer satisfaction.

Faster & better decision making: With the momentum of Hadoop and in-memory analytics, combined with the ability to analyze new sources of data, business is able to analyze information immediately and make decisions based on what they learned about the technology.

New products and services: With the ability to calculate customer needs and satisfaction through analytics we give customers the power of what to choose of their own interests and requirement. With Bigdata analytics, more companies are creating new products to meet customers’ needs.

Cost reduction: Big data technologies such as Hadoop and cloud-based analytics bring significant cost advantages when it comes to the storage of large amounts of data apart from that they can even identify more efficient ways of doing business.

To see how we can help you with your Bigdata needs talk to us today: marketing@motivitylabs.com

About us:
Motivity Labs is a U.S. (Texas) based mobile, cloud, and BigData insights solution provider with a global presence. We look forward to creating applications using next-generation technology.

Motivity Labs was incorporated in 2010 and has quickly risen to 138 positions on the Inc. 5000 by successfully executing projects including development and testing efforts for some of the largest software companies in the world along with many start-up companies.

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