Acknowledging and Sorting the Data Fluency Gap Data is the key component that accelerates AI to perform its analysis on the organisation's big data. It further unravels solutions, predictions and much more. Henceforth, organisations have acknowledged the need to address the data fluency skill gaps.
Digital transformation is the process of moving operations and tools from a traditional offline environment to a digital one. Digital transformation with data specifically enhances business, delivers value through greater understanding and aligns digital and offline data.
Organizations across diverse industries have recognized the need for digital transformation to compete in the new data economy. In the past two decades, companies such as Uber, Amazon, Airbnb, ad Stripe used digital transformation technology to disrupt transportation, commerce, travel and banking sectors. Today’s business environment has become hyper-competitive. However, it is understandable that companies following the traditional method as a business strategy might get sidelined in the near future. Hence, it is the need of the hour to adopt AI with data as its core for the improvement and sustainability of the working system.
Data becomes a strategic priority when information acts as an asset. Companies are at the early adoption phase making data a competitive differentiator for leading organisations as they focus on digital transformation. Data acts as the key accelerant of an organisation’s digitization and transformation efforts.
The acceptance of digital transformation is fast-tracked by the Covid-19 pandemic. As businesses and organisations started functioning remotely from every end of the globe, the need to push a technological change that was already in the track. Companies quickly adopted AI and its features to keep up the revenue at pace during the period which soon turned out to be normal. Gartner predicts that by 2022, 90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.
‘Data is the new science. Big Data holds the key answers’ - Pat Gelsinger The biggest advantage that the enhancement of modern technology has brought
We need no rocket science in understanding that every business, irrespective of their size in the modern-day business world, needs data insights for its expansion. Big data analytics is essential when it comes to understanding the needs and wants of a significant section of the audience.
In this article, see the role of big data in healthcare and look at the new healthcare dynamics. Big Data is creating a revolution in healthcare, providing better outcomes while eliminating fraud and abuse, which contributes to a large percentage of healthcare costs.
Big Data Analytics is the next big thing in business, and it is a reality that is slowly dawning amongst companies. With this article, we have tried to show you the importance of Big Data in business and urge you to take advantage of this immense...
Learn how Big Data and Business Intelligence, both technologies helps the decision makers to make proper decisions that can help the organization to get advantages over their peers.