How Organizations Can Improve Data Monetization With Big Data, IoT and Blockchain
Businesses can leverage the power of big data, internet of things and blockchain to improve the monetization of their data.
Multiple organizations can monetize their data to increase their revenue. In data monetization, blockchain can be a major contributor due to its advanced applications and decentralized nature.
The fourth industrial revolution has led to the rise of data-driven business models. Organizations collect large volumes of data from every department using modern technologies such as big data and IoT. Every organization has realized that data is an asset and utilizes crucial data in multiple applications. However, numerous start-ups and small businesses don’t have access to infrastructure and resources for collecting and analyzing crucial data. To address this issue, well-established organizations can implement data monetization to sell relevant data to upcoming businesses. With this approach, data sellers can generate new revenue streams for their business. Several sources suggest that data monetization is a necessity for businesses. Using data monetization, multiple organizations can help create a marketplace for sharing critical data. Such marketplaces can democratize the collection and analysis of data. Hence, small and medium businesses and startups can easily tackle the cold start problem. Besides, big players can also benefit from data monetization as their data collection and analysis tasks will be simplified while expanding their business in different sectors.
To speed up collection and analysis of data, organizations can deploy modern technologies such as big data and IoT. Such technologies can help collect and analyze data in the following manner:
Every online activity and business procedure generates a large volume of data. Organizations can collect various types of historical and real-time data like customer data, social media data, employee data, and operational data. Businesses can analyze such data to draw insights into their customer demographics, employee performance, and business operations. Big data can process large volumes of data at a great velocity to generate accurate results. Hence, big data can be utilized across various industry sectors such as healthcare, retail, finance, manufacturing, and many more. For instance, in retail, organizations can collect customer details and social media feedback to generate personalized marketing campaigns for specific customer demographics. With the help of big data, organizations can analyze large data sets from different sources to generate complex data models. Using these data models, business leaders can predict upcoming market trends and develop strategies for adapting to these trends. Such strategies include actionable steps to address inventory requirements, production, marketing, and sales. Also, organizations utilize big data analytics to make decisions about product launch and pricing.
Several organizations and smart cities have deployed IoT devices for multiple applications. For example, manufacturing organizations can install IoT sensors to monitor production flow, from the refining process to final procedures such as packaging, in real-time. Such advanced applications have led to the increasing adoption of IoT devices. In addition to big data, organizations can utilize IoT data for more accurate results. Analysis of such data helps organizations measure and understand various business procedures. For example, in retail stores, IoT sensors can be installed in shelves to notify the store owner when products are running out. The sensors can collect data that can help the store owner understand which product is in high demand, at what time the shelves go empty, and which days customers buy the most products. Using such insights, the store owner can make key decisions about inventory management, product orders, and discounts.
To implement data monetization and increase revenue, business leaders need to create an effective strategy.
