Enhancing returns on data analytics investments
As enterprises started seeing visible impact from their data analytics efforts, the ambitions of their data analytics programs grew. CIOs started looking at all the data sources scattered around the enterprise and wondering what it would take to utilize all that data. Data integration was the first step as data was brought together from various data sources. It was then cleaned, standardised, and transformed to become usable by the data analytics solutions at work in the enterprise.
But CxOs understand that it’s no longer enough to have insights from the data at hand. They want to act on those insights quickly and decisively.
They recognize that the market has become very dynamic and customer expectations more fluid. This has made it important for enterprises to be flexible, fast, and responsive. It’s impossible to achieve that without creating a digital ecosystem that is connected and that leverages the full power of automation. Just like data integration eliminated data silos in the enterprise, application integration is required to bring down the boundaries between functional systems. And sure enough, we are already seeing a wave of application integration efforts kicking off across enterprises to enable complex automated and smart workflows that leverage real-time data.
CxOs expect this will help them create agile and resilient enterprises. Based on the early success of data integration efforts, this seems to be a reasonable goal.