Big Data Analytics: Some Trends and Predictions

by CXOtoday News Desk    Dec 30, 2014

big data

While big data and data analytics has been in the forefront of providing insights and predictive power to businesses, digital analytics is now a vital ingredient in the planning process, as it provides tremendous insights on consumer behavior and market dynamics to managers and decision makers. Durjoy Patranabish, Sr. VP - Analytics, Blueocean Market Intelligence, states, as each aspect of a customer journey is now being monitored and metered real time, the role of data analytics has evolved from a value added exercise within departments and business functions to now being prioritized to enterprise wide implementation.

“As big data continued to grow along the traditional 3V’s of variety, velocity, and volume, in 2014, customers and workforce analytics were driven by the need for targeted marketing, and making services and products as customer/employee centric as possible, so as to address the issue on hand.

While much of the customer analytics initiatives have been ongoing since the last decade, the past year saw the foray of digital analytics into the nascent unstructured data analytics space. Social media and customer forums grew as a data source over the last year,” he states.

Patranabish sees 2015 as the year where organizations will make greater use of real time data available to them by increase their investments in optimization analytics, visualization to ease the decision making process and optimize the operations as and when it happens.

Greater use of available data

Social media platforms have started churning out vast amounts of data in the form of online conversations and opinions across numerous platforms/forums/devices. In the past these conversations and data being used to create successful online marketing campaigns, the coming years would witness the use of these forums as a source of incremental insights.

According to Patranabish, the information extracted from these forums can be beneficial in better understanding of customer requirements, evaluate ongoing customer experience and sentiments, and identifying more business opportunities. It will also see more companies making use of this data as automatic classification of unstructured data to common themes and categories can lead to process utilization.

Optimization Analytics

Transformation of digital analytics services from predictive analytics to optimization analytics will be the way forward for business analytics in 2015, says Patranabish. Predictive modelling and statistical models will be aimed at reducing wastage, reducing customer attrition, and enabling organizations to achieve more with the resources available to them.

Processes along the value chain such as procurement, supply, and distribution are now being targeted with greater enthusiasm to achieve optimum process efficiency at all levels.

“A challenge for the analytics sector in the coming years will be to use this sparse and spatial information with regard to all functions and departments to produce insights to help companies achieve optimum performance at levels for all tasks,” he says.

Visual storytelling easing decision making

Reporting and visualization services are expected grow throughout the year as more organizations are looking at reporting as an enabler for easing the strategic decision making process. As all the relevant data is available through interactive dashboards, and decision cockpits decision makers can making decisions by looking at the problem at hand with greater depth, and spend more time devising ways to address the problems and opportunities than spend time on understanding the issue.

Patranabish states, “With more sensors and real time monitoring of customer journeys there will be a greater emphasis on real time data, as it has become the start point to achieve optimum results. An interesting area to watch out for in the digital analytics space is uplift modelling, which will transform the way customers are persuaded to make a purchasing decision.”

With the new age of optimization analytics upon us it is time service providers respond with more flexibility as it could be the defining factor in times to come, he sums up.