FBO ID --- Image by © Blue Images/CorbisIn this five-part series, I’m walking you through some of the details around trusted data discovery, or governed data discovery. The goal is to get you past the mom-and-apple-pie idea of trusted data discovery, and into some specific areas you can address at your company.

Today we’re discussing being super smart. We’ve all heard the story of people coming to a meeting with different numbers on their report. YOU should be the one who can prove that your numbers are the right ones. And wow them with a little advanced analytics, too.

Where Did You Get Your Data?

Of course, you used all of the trusted enterprise sources as a base for your decisions. Cause you’re cool like that. But what you really want to do is to find new insights by merging those enterprise, curated sources with personal or web sources. Then you can add reference data, environmental data, and merge or append the sources seamlessly.

Because these disparate data sources never fully align, you’ll need robust data preparation capabilities to help form the data: split columns on values, group values, replace values, and so on.


Immediately Get Smart Results

Great, you got all of this data. It’s all merged together perfectly. But where to start? SAP Lumira provides suggested visualizations right out of the gate. Just select and measure, as we’ll figure out which other data elements are the top dimensions that influence that measure—and suggest the best visualization!


Wow Them with Predictions

Now they‘re eating out of the palm of your hand. You have beautiful visualizations, built on both trusted enterprise sources and external sources. You found correlations and dependencies in the data that weren’t immediately apparent. Let’s take it just one step further.

Instead of just reporting on the past, let’s predict the future.

But wait, doesn’t that require a data scientist? You don’t have time to collaborate with one before your meeting. The good news is that you can do some basic predictive capabilities directly in SAP Lumira. This reduces the burden by removing the need to collaborate and manage human-generated models.

Normally, fancy predictions require additional data preparation. We take care of that for you. Yeah, buddy. With the embedded predictive algorithms, we do multiple passes at the data to form it correctly for the predictive algorithms. Then adding Forecasting and Regression is as simple as a menu choice.

For details on the predictive algorithms, check out this SCN blog.


For more details, check out this SCN tutorial on using predictive forecasting, and triple exponential smoothing forecasting.

Of course, you read the Ubiquitous BI blog, so you know that these predictive capabilities embedded directly in applications would be ideal. And an in-depth analysis requires a dedicated solution, like SAP Predictive Analytics.

All blogs in this series: