We recommend that all Big-Data projects start with the end, just like all ocean journeys start with a destination for the voyage. There is an old quote ‘No wind is a good wind if the captain knoweth not their destination’ as true in our big data world as it was when it was quoted. The end may be a P&L Blue Book which allows users to see in real-time the P&L attributes of their sales offices, plants and other critical sales data from a financial P&L point of view. It may be the Sales Deal Closer Book, that compares all the variables that our sales person looks for and a customer makes their decision on, in real-time on their mobile devices. It has to all the 'Total service Book' - of schematic drawings and the parts that may break-down that our service engineer needs when their John Deere harvester send a predictive maintenance alert that there is an ‘X’ % probability that a small $7 part in a $2 million combine will break down in the next 48 hours. It may be a 'Sales SOC book' - Sell or collect today advisor that has all the customer AP and AR details as your sales person walks into a customer building that instantly directs them whether they should be selling or trying to get a payment from their customer. Think big data, real-time, performance and technology only after you have the business context hammered on the design and architecture of the solution. Only then leverage the map reduce engines of Hadoop, the predictive engines of SAP HANA and the OLAP engines of BusinessObjects as your Analytics layer facing the end user. Even here the UI for these analytics and visualizations may make the difference between success and failure. Think Apple, think ten minutes of training and not attaching a PhD thesis to interpret or use these reports.
If you’re not addressing all these components and treating your Hadoop, Horton works and SAP HANA as simply another technical install then that is all you will get folks. A technical installation- nothing more and nothing less.
- Follow a scientific proven process: that guarantees to deliver high business benefits. Not only in statements but as a contractual benchmark and commitment. Without proven BVA processes most of your resources will rapidly fall back into familiar patterns and then your get a predictable end result as reported by Gartner – under 30% user satisfaction if you are lucky.
- A Digital Matrix Architecture: That start with Business Benefits and needs and then proceeds to work towards identifying, networking and deploying sensors that meet these new spatial analytics needs. A solid digital matrix will drive the data engines towards a defined business goal and define data feed management along with algorithms for discovery, insight, reduction, collaboration, governance and data harmonization guidelines.
If you want to succeed in the digital world of tomorrow then you have to think out of the box and build something really different. This difference will rarely come from external experts, your Infrastructure providers or your HW / SI partners. These nuggets are buried in your own organization and you need to find the process to find these diamonds within the vast confines of experience your employees carry about your world. Who knows your business better than most – your employees. So leverage their buried knowledge and drive your organization to stellar success by combining their knowledge with the other partners like infra, networks, sensors, HW, SW and SI’s all driven by a singularity of BVA and business benefits alone.