Businesses across the world are working around enormous set of complexities and market volatilities these days. They are ready to experiment with any and everything to be able to master this game of ambiguity where it has become important to ‘not-just-guess’ but to ‘know’ what the customer will be wanting and where will they find their next new customer. In such times, data – the new currency of industrial landscape, is providing meaningful and actionable insights with the help of analytics application onto it – thereby transforming decisions into informed decisions.

With so much data available today, we have gradually stepped into an era where everything is data-driven, right from what will click in the market, when should one launch the product, when should one plan a next version, which region is must be targeted, how much of revenue impact can be expected—and the list is endless. It will be apt to say that Analytics has emerged as transformational tool which is here to rejig the entire dynamics of the game.

Varied forms of analytics – which one suits your needs?

To ensure seamless functioning in the organization, based on the business requirement, one may need a specific analytical capability or even a holistic program which is a hybrid mix of the various analytical capabilities.

As per an industry source, 90 percent of the organizations use Descriptive analytics today, which is meant to describe what has happened. This often allows businesses to condense big data into smaller and valuablechunks of information deciphering the past results. According to a survey conducted by PwC, almost 18 percent of Indian business leaders wouldprefer to use diagnostic analytics to determine the actual causes of outcomes in today’s time.

Predictive analytics being the next follow-up in data consolidation, tries to predict the outcomes of future events by usingseveral techniques such as data mining and machine learning. With AI cominginto picture and the amount of data that organizations are churning out, Chatbotanalytics is expected to revamp industrial scenario, especially for the customer service industry.

Incorporating data analytics into business operations

Analytics-as-a-Service – When you provide analytics software and operations via web-delivered technologies, it is Analytics-as-a-Service. With this, businesses can develop their internal hardware setups for performing business analytics. For instance, a providermight offer access to its remote analytics platform for a certain monthly fee. Analytics-as-a-Platform refers to an integrated solution formulated in order to address the demands of users, especially for large data-driven incumbents, Analytics-as-a-Platform provides contextual and analyzed data out of all the stored information.

As the amount of data, analytical complexity and number of end users rises, analytics platforms offer an assortment of diverse optionsthat can not only help reducing the costs but also help in achieving a state of informed decision making.

Impact of data analytics across the industries

The major chunk of the analytics usage comprises the BFSI, Telecom Services, IT/ITeS, FMCG and Retail.

IT/ITeS

Armed with the big data insights, organizations can increase customer loyalty and satisfaction based on the suggestions indicated by thedata intelligence reports.

Oil and gas

Big data can be used in determining the best drill sites. After the optimization of exploration, analytics can also be used for pipeline risk assessment, storage optimization, market analysis along with pricing optimization – ultimately addressing multiple facets of the industry.

Telecom industry

Data analytics can help telecom companies to segment the market more accurately and help with the root-cause analysis offailures and glitches on a real-time basis, thus allowing for a quick course-correction.

Retail and e-commerce

With analytics, retailers can now know their customers’ preferences, requirements and spending capacity better andaccordingly, design their marketing campaigns better promote to build loyalty.

The way forward

As we enter a world of self-driving cars, intelligent robots and personalized medicines etc., the opportunity pool is just going to expand for industry players.

The writer is Global CEO & Co-founder, Denave – Financial Express