The cutting edge: Why adaptive analytics are a must
Adaptability is a key weapon in the arsenal of any business. After all, those organizations that fail to have a little breathing room in their practices will likely limit their success. In terms of enterprise technology, scalability is always being talked about as a must.
While it’s easy to see why malleability is crucial in terms of wider infrastructure, how can it be equated to better business intelligence?
Strategic, real-time decisions
Edge analytics is a new kind of data interpretation that’s centered on being situational, allowing the company to make decisions in real-time.
In the simplest terms, edge analytics possess three characteristics, according to Gartner:
- Advanced. They utilize predictive algorithms to allow businesses to make assessments on what has – or will – happen.
- Pervasive. Edge analytics are embedded across the entirety of the company. As a result, they offer more encompassing insights.
- Invisible. Linked with the above, they operate autonomously and in the background, providing a constant stream of mission critical information.
Edge analytics and strategy
As research from McKinsey & Company pointed out, the best strategic planning processes will highlight the critical decisions that the business has to make. This is where edge analytics come into their own.
Not only will more advanced and encompassing data processing allow enterprises to garner better insights, they will be able to do so more quickly, too.
Of course, this will mean that organisations have to update their infrastructures to ensure they have the right tools in place, but the costs of doing so will likely be outweighed by the eventual gains.
While there is constantly chatter about the latest and greatest that business intelligence has to offer, if more companies begin to embrace edge analytics, it will likely become the norm going forward.