Covering Disruptive Technology Powering Business in The Digital Age

The copious amounts of structured and unstructured data being generated all over the world from multiple sources has transformed competitive environments. There is a marked change in enterprises’ perception of data usage, collection and analysis as they are increasingly demanding Big Data projects to improve customer experience.

Converting unstructured data, such as tweets and posts, as well as structured data into relevant information within the business environment has become critical to the decision-making process. Without high-quality data, it will be extremely challenging to provide a single view of the customers and their behavior, and to map all their points of interaction with the organization.

“The valuable insights generated by analytics give enterprises across verticals a significant competitive advantage and eventually, positive business outcomes,” said Frost & Sullivan Digital Transformation Consultant Leandro Scalize. “Big Data enjoys considerable acceptance in the financial vertical, mainly in risk management, credit scoring, customer analytics and fraud detection.”

While companies are gradually becoming familiar with the term, not many know how to harness the benefits of Big Data. One of the main reasons for this is that most companies do not have much expertise in analyzing data to aid in business decisions. Additionally, companies tend to invest in Big Data projects to solve a specific business issue, but do not incorporate data analytics as part of a broader and pervasive strategy.

IT vendors need to present successful case studies and demonstrate the advantages of Big Data and analytics to potential customers. Companies need to be made aware that Big Data and analytics will help them identify customers and their purchase habits, segment them, establish better ways to interact with them, and customize offers according to their needs.

Once Internet of Things becomes more prevalent, connecting people and things, companies will also have to invest in analytics tools to glean actionable information from these sources. Alternatively, they will have to find the right partners to benefit from the Big Data being generated from connected devices.

Customer experience is one of the main application areas of Big Data. Verticals such as e-commerce and traditional retail focus greatly on understanding customers’ buying behavior, while telecommunication companies focus on reducing the churn probability. For these purposes, these verticals have incorporated transactional and cadastral data into customer relationship management software.

“There will continue to be technological innovations regarding algorithms that will be applied in new use cases and user-friendly interfaces,” noted Scalize. “In due course, Big Data will be integrated with historical data warehouses and will go a long way in changing the decision-making process.”

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