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September 4, 2014

What do we mean by 'Realizing business value from big data'?

Posting on behalf of Rajeev Nayar, Associate VP & Head, Big Data Practice

According to Gartner, about 64% of the companies have already invested in Big Data, and 56% have been struggling to derive value. This is something that we often hear when we talk about data, big data, analytics, reporting intelligence and so on and so forth. The question now is - 'Are enterprises really able to leverage the strength of data to start with and with deluge of data are enterprises able to leverage the strength of Big Data?'

When it comes to 'Realizing business value from Big Data' there seems to be a mismatch in how IT and business teams operate. Business teams wish to rapidly develop new insights and improve areas such as personalization, customer satisfaction; all irrespective of where the data lies. Technology teams traditionally are responsible in constructing a reporting mechanism to deliver these insights. This invariably has its own time lag from when the requirements were understood and to the time business team got the results. More often than not those results that they got were much later from when they actually needed it and it became irrelevant by the time the business teams actually got it. There is a significant mismatch in terms of how do we really look at this scenario of a structured IT construct and of the agility that the business needs and how we can help the enterprises leverage the strength of data in making right and timely decisions for their business expenses. Today, if we look at most enterprises, only about 20-25% of enterprise data is structured which has traditionally been used for analysis. 80% of data is unstructured. Only about 20% of data is traditionally used for analysis which is the structured construct.

What does an enterprise need to do when you look at this scenario?

First of all, the first big change is the scope of data itself. The scope with Big Data has changed from the traditional 20% structured construct that we have always been used to, to this large other 80% of unstructured data that has just become a part of the scope.

From the focus on data relationships, because structured data has always been based on the construct of established data relationships, the focus now shifts to understanding co-relations. The shift is happening from relying on data relationship which is known, to identifying correlations which are unknown in the past and that is really where the power of insights comes from.

And the third thing lies in identifying correlations moving away from data relationships, it's important to embed the element of discovery in the pattern of how you identify correlations. If you're not able to discover, you will minimize the element of identification of correlations.

Therefore the enterprises need to rethink their approach to Big Data first of all in changing scope of what data is meaningful to customers enterprise, secondly moving away from traditional data relationships to new correlations in business and to finally maximize correlations, enable technologies, enable frameworks that allows for self-discovery. And realizing business value lies in integrating these three pillars together.

Infosys Big Data services and solutions, have focused on helping enterprises to build a data ecosystem that empowers both technology and businesses to rapidly develop and action insights relevant to enterprises and customers business.

August 25, 2014

"Big Data is a fairly overhyped term. At the end of the day, analytics are about all forms of data." - Rajeev Nayar

Rajeev Nayar, Associate VP & Head, Big Data Practice - Cloud, Infosys was featured in an exclusive interview with Analytics India Magazine(AIM). Rajeev spoke about the Big Data practice at Infosys, how we are seeing the market changing and how Infosys plans to sustain itself in the Big Data market.

 Some of the points Rajeev makes are:

·         Big Data is a fairly overhyped term. At the end of the day, analytics are about all forms of data. Big data just deals with data sets of extremely high volumes that cannot be handled by traditional tools

·         We strongly believe that there will ultimately be an amalgamation of Big Data with traditional BI/BA practices. What we are looking to achieve is to provide a common layer which brings together all data formats and help generate insights

·         Almost all organizations today are focused on using big data technologies rather than addressing the problems this technology is trying to solve. At the end of the day, it is important to understand that these are just tools

·         The largest concern for us lies in the acute shortage of skills in this space. Enterprise solutions are still not mature enough to be intuitive. Obtaining and retaining resources for big data projects is a big challenge

·         We see a lot of focus on how enterprises are going to analyze these vast dispersed sources of information without physically bringing them together

Click here to read the entire article, courtesy of AIM

October 10, 2013

"Hadoop is not for everything. Understand what it means to your organization within the context of your business goals" - Rajeev Nayar

Rajeev Nayar, Associate VP & Head, Big Data Practice - Cloud, Infosys was featured in an exclusive column in the latest issue of Express Computer titled 'Big Data Hadoop'. In the column, Rajeev had listed out how enterprises should evaluate Hadoop with regard to big data projects. Some of the points are:

  • Understand what Hadoop means to your organization within the context of your business goals
  • If the adoption of Hadoop in the organization starts as an IT initiative, securing the initial funding to set up the Hadoop cluster, etc. is a challenge.
  • Breaking down the data silos in an organization is more difficult than it sounds.

Click here to read the entire issue, courtesy Express Computer

September 17, 2013

" Big Data - Most promising area from both a technology and business perspective ", Vishnu Bhat

Vishnu Bhat, Senior Vice-President and Global Head, Cloud and Big Data, was a part of an expert panel brought together by TechGig.com to discuss talent required to drive the big data revolution in today's industry.  Vishnu Bhat said "I think Big Data is one of the most promising areas that we see today both from technology and business perspective. And as the opportunity out there is so large, I think we have barely scratched the surface. That is also the reason why it cannot go through the hype-cycle that so many other industries experienced."

Details of the panel discussion appeared on TechGig.com on 8th Sept, 2013 courtesy TechGig.com.

View image to read the entire feature.

Taming the Elephant "10 Big Data trends for 2013" - Coverage in Hindu Business Line

Earlier this year, Infosys released an infographic titled taming the Elephant - '10 Big Trends for 2013'. This infographic was covered in the Hindu Business Line's' Tech Bytes' column on July 19, 2013. A couple of the trends are as follows - 

The information strategy - still in formation - While enterprises will be the "inundata'd" with a hybrid big data dump, the need of the hour is to turn this into a flexible, manageable information ecosystem

Big Data - of the people, by the people, for the people - Cloud-based and open source tools will help democratize big data to take it out of the realm of expensive resources and high computing infrastructure - giving even smaller companies the ability to leverage big data for business insights


The infographic is courtesy Hindu Business Line

How to Sketch Cloud BI and Data Analytics

This article appeared in the IT Next magazine and featured Sandeep Bhagat, Principal Architect, Big Data and Analytics, Infosys. In the article, Sandeep said, "Most BI systems hold confidential analytical data about enterprises and hence it is important to get buy-ins from business to host business sensitive data on the cloud environment".

Click here to read the entire article, courtesy IT Next

Apps to Profile Fraudsters based on Social Behavior

"With the world going social and large amounts of operational data organizations collected over the last decade, data is getting BIG-petabyte big-and this tall order has assumed somewhat insurmountable proportions. For instance, bankers are looking at big data to tell them which customers are at the greatest risk for account take-over fraud. Automotive insurers are seeking to identify, with big data analysis, those exact customers who are considering a new car purchase with their next insurance renewal. And this has set off the trend to procure big data point solutions, including those on social computing networks-for each business function, and each process requirement." Said Vishnu Bhat, Vice-President and Global Head Cloud and Big Data in a feature that was published on Data Quest on 19th March 2013.

Click here to read the entire feature, courtesy Data Quest

"Mass scale enablement of our talent pool and investing on IP creation - Strategy for Big Data going forward" Rajeev Nayar


Rajeev Nayar, Associate Vice President and Head, Big Data Practice at Infosys was featured in an article "The Big Data opportunity for Indian IT service providers "on Information Week that featured on 27th August, 2013.  

Commenting on Infosys' big data strategy, Rajeev said "In Infosys, we started the Big Data journey back in early 2010 when the term Big Data was not even coined. We worked with some global companies in the industry to create their strategy around Big Data technologies to transform their IT and business at much lower cost at that point of time. At the same time, we also spotted the need and opportunity to create our own IP around the gaps in the Big Data technology space, which eventually we launched as our solution 'BigDataEdge' in February 2013. To keep up the momentum, our strategy going forward is to tap the Big Data Space in two ways -- mass scale enablement of our talent pool in Big Data and related technologies and churning out more IP"

Click here to read the complete article, courtesy Information Week

February 20, 2013

Big Data Enabled Enterprise

Larger enterprises have extremely high volumes of data, coming in at a rapid pace from a wide variety of sources. Without a proper Big Data solution, finding relevant relationships is like fishing in the dark. For chief information officers, priority is to enable their businesses to make better decisions faster.

Infosys_Big_Data_info.png

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February 19, 2013

Big Data: Custom Analytics Helps Gain Competitive Insight

In my last blog, we briefly touched upon how critical it is for enterprises to identify the right data sources for their big data strategy. The next step is to break down the data to a greater level of granularity in order to glean relevant insights.

Custom analytics is the coming together of breadth of knowledge about how social data mining works and deep knowledge of the industries that the enterprises are focused on.

Consider for example, a scenario for the health care industry. Flu is a frequent health problem, and it spreads like wild fire. Pharmacists and hospitals would do well to stock up on the required medicines, and more importantly, the vaccines to prevent virulent attacks. How can data help here? 
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