The hours of planning and preparation had been worth it, we had all enjoyed a delicious meal. I joined my wife in the kitchen to fetch the dessert, home-made tiramisu.
“I don’t think I prepared it early enough, the coffee doesn’t seem to have dissolved yet. The recipe asked for six tablespoons of strong coffee”, my wife said.
It was delicious, but gritty. She had used six tablespoons of ground coffee beans (coffee), instead of making some strong coffee and using six spoons of the resulting liquid (also coffee).
From my wife’s point of view the recipe was clear. However English is not her first language, and in her family the only time “coffee” and “tablespoons” are referred to in the same sentence is when someone is filling up the espresso machine (with ground coffee).
The instructions were as clear to me as they were to my wife, but we had understood different things. We had different points of view and spoke different languages, so the recipe wording was indeed ambiguous.
It dawned on me, long afterwards of course because I was under too much pressure to think in such a sensible way at the time, that this is exactly what happens when people with various experiences, skill sets, backgrounds and responsibilities work on data integration projects.
If only the recipe had come with a sample of the food so that my wife could have compared her tiramisu against a “perfect result” early enough to recognise and correct any mistakes.
Better still, if only the people writing the recipe could have done so with my wife and me to validate that we all understood the instructions in the same way and were able to arrive at the same perfect result through preparing tiramisu prototypes.
Experian Pandora can’t help you in the kitchen, but it can help you collaborate to create complete, correct and unambiguous data Integration specifications through building a prototype. It can also provide you with a “perfect result” to compare with and validate the results of your build phase.
So, back to the comparison. I had already set expectations with our dinner guests by announcing what we were about to serve. The pressure was on, now what?
Of course we chose to do what most data integration projects do, we served what we had made and through the crunching of teeth we aggressively claimed it was exactly how true tiramisu should be.
Experian Pandora data management software enables organisations to understand, transform and manage the quality of their data more easily and quickly than any other product or manual approach. Experian Pandora is used on projects such as data integration, compliance, DWH, fraud detection and data governance.