The right mix of governance and freedom in architecture is still up for debate, end-to-end solutions are often-heard recommendations, low and no-code is expanding access to data and the customer journey could be seen as a source of revenue are some insights I gleaned from this spring’s Big Data World.
One South African company correctly predicted both the outcome of the Brexit vote and Trump’s victory. BrandsEye delivered a Data-as-a-Service (DaaS) product, amalgamating social media analysis, geolocation data and other inputs to create impactful insight that most pollsters missed.
Data-as-a-Service (DaaS) can be described as productized data-driven insight on demand. DaaS allows business users to access the data and insights they need at the timing they desire. The data and insights can be consumed by multiple individuals simultaneously, location-independent of where the data has been sourced and managed.
Big Data’s descent from the peak of inflated expectations into the trough of disillusionment made a splash when Gartner came out with its 2016 Hype Cycle for Business Intelligence and Analytics. This stage is decisive: Big Data either delivers, and so rises a bit further up the slope of enlightenment