Let’s say you need to put in a fence. One of the first tasks which awaits is to make a hole in the ground into which the posts can go. Now, do you want to own and operate a post hole auger? Or is what you really want just a hole in the ground (or multiple holes, evenly spaced, remember to measure twice and bore once?)
You want the holes, of course. And the same thing applies with business intelligence: the process of managing data and building the structures and performing the analysis is all well and good, but the whole point of the exercise isn’t to go to all that trouble for the sake of it. Instead, the value lies in the results of all that work. That’s the prize.
Now, a hole is just empty space, so in that respect it is perhaps not the very best of analogies for the insights which come from the ability to rapidly organise and analyse data, which we call Datability. But it does illustrate why you want ‘Buildability’ as an integral component of getting to the good stuff: the auger is a tool which gets the work done far faster. It makes building a fence easier and quicker.
The same applies for Data, except the tools you’re going to be using aren’t all that great for fence construction. Instead, they’re really good at accelerating the building of data marts, data lakes and data warehouses.
Where in the old days you could go ahead and do it the old-fashioned way, with a team of developers diligently hand-coding the whole shebang (good luck finding these in-demand people), there’s much better help at hand. With WhereScape RED, the process of developing, deploying, and operating data infrastructure and big data integration projects is massively accelerated. And this goes to the very heart of Buildability.
It’s an auger versus a man with a shovel. Instead of mucking about with the hard yards of prepping and creating structures, RED’s ability to automate up to 95 percent of the coding means more juice, less squeeze.
Buildability doesn’t just mean sorting out the initial structures, either. It means the ability to rapidly evolve those structures in response to changing business requirements. There’s headroom for experimentation; with the effort of development slashed, the path to results is shorter and clearer.
With a powerful tool like this, Buildability is right within your reach. It means the capability to rapidly create and modify data structures, ingest and arrange the ‘raw material’ and get right to work on analysing it (and don’t just take our word for it…Abano Healthcare did just that, with results which are driving its profitability to new levels).
Buildability, in other words, puts the outcome within reach far faster. And it is only with the outcome that the true value of the exercise is exposed (whether that be increased profitability, the creation of new products and services, improved targeting of special offers, or whatever bright ideas your team might come up with).
There’s a further dimension to Buildability, and that relates to the infrastructure required to create data structures (they must live somewhere, after all). That somewhere used to be on-premise hardware. Expensive to buy, expensive to own, expensive, even, to get rid of when the time comes. None of those factors speak to Buildability, because they are handbrakes to the flexibility and speed implied in Datability.
And that’s where the power of the Microsoft Azure cloud comes to bear. With the availability of Platform as a Service, coupled with data automation tools, Buildability is assured. You get the flexibility of practically infinite scalability, cost control, ‘pay as you go’, and the latest hardware performance.
Wrap it all up, and the Buildability pillar of Datability means results from data which drive your company forward.