Healthcare Disruption. The Future of The Healthcare Market Reaction Data – 2018

whitePaper | November 18, 2022

It’s time to treat data like a product, not an afterthought. A new paradigm has emerged among forward-thinking data teams: treat your data like a product. This may sound easy in theory, but it’s far from it! Product development processes have become incredibly sophisticated, with resources dedicated to reliability, adoption, feature roadmaps, and more.

whitePaper | August 2, 2022

The volume of data has exploded across all sectors in the last decade. Enterprise data has grown enormously, and organizations must contend with more unstructured data than ever. In fact, 95 percent of businesses cite the need to manage unstructured data as a challenge.

whitePaper | August 25, 2022

This paper discusses how hybrid cloud and data analytics together enable new business value to be created in financial services organisations, proposes ways in which analytics can be embedded successfully and outlines how Atos, Microsoft and Dell EMC are collaborating to help bring these advantages about.

whitePaper | July 12, 2022

In many ways, 2022 has been an exercise in dealing with the reeling of the Covid-19 pandemic. All over the world, supply chain issues have led to a myriad of challenges for enterprises, leading to deep shifts in how we do business and unraveling many of our assumptions about how society operates.

whitePaper | November 25, 2022

In our contemporary environment, data and inherent data strategies constitute vital sources in pursuing and developing customer-centric business models while supporting collaboration between different organizations in creating customer value.

whitePaper | February 22, 2023

There are two reasons financial institutions are learning as much about their customers as possible by gathering—and processing—as much data as they can. Firstly, this information is invaluable for delivering more personalized products and services to increase revenues while making smarter decisions and improving operational efficiency. Better customer understanding can improve things like underwriting accuracy, for example, and many others.