The Internet has accelerated the digital revolution. Technology is constantly advancing, and once a critical mass of individuals deems a new technology functional and valuable, it triggers a cultural shift, causing a widespread transition from older analog mediums or slower digital predecessors. An example of this is the decline of paper mail services in favor of email. However, even email itself is now being surpassed by feature-rich messenger apps and enterprise productivity workspaces. This ongoing shift from slower analog methods to faster digital alternatives, along with continuous upgrades within the digital realm, is occurring at an exponential pace.
Entropy is specifically designed to comprehend and adapt to this consistent cultural, technological, and innovative change. The internet and its associated technologies have a network effect, whereby an increasing number of technology adopters further fuels future adoption of the same technology, its components, and subsequent upgrades.
The Internet has become a source of data generated by people and computers, feeds can be tapped into to gain insights into user adoption by analysing sentiments, trends, usage, transactions and connections.
Digital value evolves through a multi-stage process that includes discovery, experimentation, innovation, pioneering, advancement, and ultimately, mainstream adoption. There are various solutions available to participate in these phases.
Entropy develops comprehensive process sets for researching new and emerging technologies and their digital value. Every process begins as a manual exercise. However, it is essential to condense and present data into a singular view for simplicity.
Scouring through extensive data or multiple dashboards can introduce the possibility of human error, where a single miscalculation can render the entire result invalid. Data analytics solves this problem by combining machine intelligence and human intelligence to create manageable subsets of large data. Event-driven intelligence and automated actions further streamline processes. When it comes to decision-making, less is more.