Smart Predict – Brief Webcast Recap
I saw this at ASUG Annual Conference but didn’t have the details to share anything until SAP provided a webcast last week on this. Please note ASUG has a related webcast you can register for here – it is being held tomorrow.
Figure 1, Source: SAP
There are 2 types of users using predictive
One is citizen data scientist
Analytics product includes data prep – 70 to 80% of time spent on data prep
Expert analytics toolset for the data scientist
Output of predictive apps will be included in SAP applications such as hybris, SAP Analytics Cloud
Figure 2 – source, SAP
SAP investment priorities are in SAP Analytics Cloud, providing an end to end solution in the cloud
Building Predictive Analytics Integrator – embed predictive results in applications
Figure 3 – source, SAP
Introduce SAP Cloud Smart Predict – making predictive capabilities simple for the business analyst
Smart predict, with results, can be served up in platform, models updated
Figure 4, source, SAP
Roadmap, from 2016, had a standalone product
Where going now, enabling citizen data scientist to leverage SAP Analytics Cloud, with user-
driven model development, build your own models without degree in statistics
Figure 5, source, SAP
Why important? Cycle behind putting products in one platform
Visualize, learning from information, predict what happens next, plan what happens next
Prediction is a suggestion
Don’t have to move data around; all in one product
Figure 6, source, SAP
Smart predict product plan is above
Algorithms available in Q3, with Predictive Composer, invest in User Experience
Consumer scores in stories
Q4 – expect to have clustering in Smart Predict, live connections, scoring in data sources
Future – schedule training, test model quality
Upcoming Webinars
- July 12 BI: Advanced Planning with SAP Analytics Cloud
- July 18 BI: Extend your planning with SAP Analytics Cloud and SAP Business Planning and Consolidation Standard
What other webcasts are you interested in?