Organizations are already using 3rd Platform technologies, including mobile capabilities, to enhance how they operate and interact with stakeholders. Knowing how to elevate and accelerate current initiatives is critical to executing a successful, Digital-Transformation (DX) based strategy. One way to use these tools to accomplish a DX-driven goal is to combine these technologies to maximize value for their organization.
While it is a newer technology, blockchain is already disrupting financial services, insurance, healthcare and supply chain solutions. Two main causes of this disruption are blockchain’s ability to enable disintermediation, and how it provides an immutable historical record of data. Blockchain technology itself solves many of the problems that data governance professionals, and data management technology vendors have been trying to solve for years: group consensus on the most recent version of the truth for a given entity, and full instance lineage (provenance) of the data.
While blockchain has been able to transform these solutions, forward-thinkers are asking: will blockchain have the same disruptive effect on data management? There are two main factors to consider when assessing blockchain’s potential to disrupt data integration, storage, and data integrity:
While today’s business environment is already digitally-powered, new technology advances are poised to deliver a radically new system of commerce. In fact, IDC predicts that by 2020, 50% of the Global 2000 will see much of their business depend on their ability to create digitally-enhanced products, services, and experiences. This expansion of Digital Transformation (DX) at a global scale signals a new digital economy.
As the market for intelligent applications and the software platforms used to build them has emerged, nomenclature confusion has grown. What should we call these applications, and what should we call the platforms, libraries and software tools used to build them?
The terminology matters. Vendors need to differentiate their products from the business intelligence and predictive analytics software that has existed for decades. ‘Intelligent applications’ and ‘business intelligence’ software provide two very different sets of functionality. For technology buyers who need to justify new solutions to budget holders, the terminology matters too.
