The state of digital transformation and IA
Our whitepaper begins with digital transformation and its trillions of dollars in potential social and business value. And yet, two consecutive McKinsey studies, have found that the success rate of these projects has only been falling, from 30 to 16 percent apparently. The role of IA, a key driver of successful digital transformation, in this scenario just cannot be ignored.
Not that the success rate of standalone IA projects seems to be faring any better. Even entry-level IA deployments, and we are not talking about sophisticated implementations involving intelligent decisioning, machine learning (ML), artificial intelligence (AI), and cognitive computing, seem to be permanently stuck in unproductive silos, a situation that KPMG characterized as uncoordinated and unintegrated.
In order for IA to deliver business value at scale, it has to be deployed against an enterprise-wide strategy that orchestrates multiple business-critical functions, applications, processes and workloads. But currently any efforts at achieving that are being hampered by the alarming shortage of skilled resources required to design, build, deploy and manage IA programs.
Though the talent shortage is undeniably true, waiting for the issue to be resolved by the combined long-term efforts of governments, educational institutions and industry is not really a practical strategy. What if we could develop a new class of digital automation platforms that put business users squarely in charge of how automation projects are designed, deployed, scaled and managed?