company

You can consume this in-database scoring from
within any other application; any user accessing
this table will get the predictive scores, potentially
without realizing that each record is the
result of a predictive calculation. Furthermore,
you can keep the model up-to-date automatically
so the next refresh of the data set ensures that
the most recent iteration of the predictive model
is applied to the full result set.
Figure 9 takes this example one step further to
illustrate the full end-to-end behavior.
In this example, the predictive model was created
using SAP Predictive Analytics and then published
to SAP HANA. The APL is invoked using
SQLScript to create a view from SAP HANA. This
view contains the original data as well as an additional
column that contains a predicted score
and is consumed by SAP Lumira® software.
Using SAP Lumira, you can then analyze the data,
create visualizations and storyboards, and publish
the results to a sharing platform, such as one of
the server versions for SAP Lumira. This enables
you to share predictive results and the insights
gained from SAP Predictive Analytics with anyone
in the organization and even externally.
Figure 9: Embedding Predictive Analytics into BI Workflows
Model embedded for in-database scoring
Hancock, John M 38 D Y 4.2 N Y
Doe, Jane F 45 M Y 9.4 N N
Red, Simply F 18 S B 2.1 N Y
Customer database
Data set
with
scoring
from SAP
Lumira®
SQL
Business users can get on-the-fly
scoring without even knowing they
are using predictive algorithms.
SAP Lumira, server
version for teams
+
Any analytical client
(like SAP Lumira)
Example
storyboard from
SAP Lumira
SAP Lumira, server version for the
SAP BusinessObjects BI platform
SAP® Cloud for Analytics (future)
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