Getting Data is the Key to Insight

It’s a war of data and the smart organisations are using data as their secret weapon,” says WhereScape’s Michael Whitehead.

So if getting data is getting more and more ubiquitous across the enterprise sector, why is it that executives are still rewarded for disregarding it entirely?

Historically, coming up with an answer to a data-intensive problem has taken days. And when it turns out, as it often does, that the response raised more pressing questions than it answered, frustration sets in. As a result, many executives end up disregarding the data and make gut-based, data-free decisions and are even rewarded for doing so.

In essence, IT’s battle for respect in the boardroom can be boiled down to delivering faster responses to better questions. FlockData provides an information management framework that can help your organization ask and answer data questions.

Consider the below diagram:


The traditional data warehousing workflow demands one know what report they want to generate before finding the necessary data and running it through the analytics. It’s a long process and if the result isn’t insightful and actionable, it may be another couple of weeks before you get another shot. This is the source of the frustration with the IT department.

FlockData differentiates in two key areas that reduce compute time and improve report satisfaction. The first is that one can go into an ETL process with an idea on what report they want to run, but it’s not necessary. FlockData analyzes and recognizes relationships immediately upon data ingestion, suggesting potential useful questions.


The second thing is that all data is profiled through the API or CSV loading process, standardizing it across data sources. This significantly simplifies any further retrieval if it turns out that the original question wasn’t quite right. Plus, data profiles include not only the relevant bits (data records) but also the business context of the data.

So instead of asking two potentially unrelated questions of a diverse set of data sources over the course of a month, you can ask two directed questions of your data within as little as half a workday.