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Tips from Top - Big Data Analytics, Mr. Sanjay Sharma (MD, Accenture; Data Science Lead)



The fundamental requirement in corporate is not only about survival but about thriving in chaos. Thriving in chaos and not letting oneself be unnerved leads to growth. Targeting the sunrise opportunities, learning continuously and evolving perpetually were some of the insightful learnings from Mr. Sanjay Sharma (Managing Director, Accenture; Data Science Lead – India), who was at IIT Kanpur, MBA for a seminar on “Big Data Analytics”.
Mr. Sharma simplified the definition of Big Data and gave a generic definition for us to understand. According to him, Big Data is collection of unstructured data to derive useful information out of it for making decisions. According to him the huge amount of data available has generated the need for Big Data Architecture. For example Banks need to maintain a lot of data due to rules, regulations and requirement of customers. A lot of querying on this data is necessary to generate information out of it. This is where cloud computing and distributed computing comes into the picture. According to Mr. Sharma the need for Big Data analysis arises because unlike small data that has more signals and less noise the big data has less signal and more amount of noise. Hence processing of this data becomes necessary to fetch useful information..
He stressed that working with data analytics, a person should always think from a business perspective and not from data perspective since it is the business that drives an organization, data only assists in it.  
Further elaborating the scope of SAS and R in data analytics, he explained that SAS being licensed software, it is used in industry where security and trust is of utmost importance and R being open source tool and its ease to connect with Spark has led to R being widely used in industry.
Furthermore he also stressed that analytics as a career requires an appetite for coding and programming. Doing MBA specialization in Data Analytics helps to get insights about the business perspective. However, the technical know how is also a must.
According to Mr. Sharma the next big thing in analytics is going to be in operations where data processing, information management, visualization, predictive analysis would be required. Citing an example from the aviation industry, he said that tracking information from the regular operation of an aircraft, the company can prioritize the maintenance of a particular dysfunctional part instead of the overall maintenance.
Talking about career prospects, Mr. Sharma said that a person should always strive to search for sunrise opportunity. However, if a person is passionate about his aspirations than irrespective of the growth in that industry, he should follow his heart. The session came to an end with the students discussing about scope of data analytics and how they can plan their future in Data analytics.
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