Greater speed and agility are helping organizations address an increasingly competitive marketplace, heightened customer expectations, and the lingering impact of the pandemic. To compete more effectively, companies are gathering and analyzing increasingly large and disparate sets of data. But only with cloud solutions, like Microsoft Azure, can this data provide insight into every corner of the enterprise, from maintenance of the factory floor to boosting customer loyalty.
However, companies that continue to rely on legacy systems and fragmented IT environments to gather and store data will fall behind faster. The problem, says Lindsey Allen, general manager of Azure Databricks & Applied AI at Microsoft, is that “organizations need to be able to access their data in a reasonable amount of time to support business decision-making.” Accessing and analyzing this data across the enterprise at speed and scale is difficult to impossible with siloed data.
Download the full MIT Technology Review Insights and PwC ebrief to learn more about how breaking down data silos can lead to better decision making, customer experiences and innovation.
