How will Big Data companies monetize data in 2018?
In the modern day, the focus of most of the companies has shifted from optimizing the cost of the products they deliver to delivering an elevated customer experience through the products. Providing a high customer experience has become vital to build loyalty and also to limit the customer churn. The entire advent of the Big Data along with its learning applications has made the companies realize that data is the most strategic asset for the development of their businesses. Talking about the monetization of Big Data, the companies are looking to obtain calculated benefits of reduced costs within the extant business model. The Big Data, which usually is the proprietary data and behavioral data of customers are gathered during the customer interaction. Therefore, this data is neither public data nor the private data but is very much legal to be used to ameliorate the business combined with website activities, Social Media monitoring, and engagement.
Companies these days are occupied with anomalous amounts of data including network data, customer profiles, device data, location data, usage patterns, clickstream data, app data and a lot more. Given the abundance right at the fingertip, the International money transfer company I am working for is changing international finance from its core through data and receiving gold mines every day where they can capitalize on the sets by breaking them down, according to the problem areas. Data Monetization has been a process of spawning revenue from the available data sources by instituting the capture, discovery, analysis, storage, mobilizing and dissemination of the Big Data. Through monetization, one can leverage the data, associated with business operations with their services and products.
By the end of the year 2017, the revenue growth from the products that are information-based will double the other’s portfolio, says IDC. The value adding content and the raw data will be sold and bought by bilateral transactions or via markets. The companies will begin innovative methods to value the data as the world starts creating 180 trillion gigabytes of data in 2025, which was only 10 trillion gigabytes in 2015. The cloud vendors will compete with conventional analytics providers, and with immense growth in the capabilities of cloud platforms, the users will start leveraging large vendors predominantly for the 2017 analytical software, says IIA (International Institute for Analytics). IDC also predicts that by the year 2018, new pricing models for the analytics workloads will be 5 times higher in spending cloud-based analytical solutions.
Most of the executives think that role of a Chief Data Officer is Big Data is defensive and is entirely focused on consent with regulatory requirements.
