The Next Frontier in Data Discovery SAP Visual Intelligence. Bob Ferris Executive Solution Engineer . Disclaimer.
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Executive Solution Engineer
User Powered and IT Approved
(CSV, Excel, HANA, SQL data sources)
* Manual recreation of Explorer Information Spaces
Sense & Respond
Predict & Act
What is the best that could happen?
Generic Predictive Analytics
What will happen?
Ad Hoc Reports & OLAP
Why did it happen?
The key is unlocking data to move decision making from sense & respond to predict & act
Visual Int / Analysis
HPA Customer Analytics, HPA Instant Compliance, Unified Demand Forecast for Retail, Smart Meter Analytics, Operational Risk Management, Energy & Environmental Resource Management, Life Sciences, Manufacturing, Project Bingo, Project AHEAD…
SBOP Predictive Analysis, HANA Studio
HANA Predictive Analysis Library
Visual Numerics IMSL
Algorithms for BI clients
SAF / Khimetrics
HANA, BW, Universes, RDBMS, CSV…
beyond SP5 (2013)
Bagging, boosting, ensemble modeling
Monte Carlo method
Extend algorithms in each category. Cover time series and preprocessing.
Exponential/ Logarithmic Regression
Logistic/ Geometric Regression
Inter-Quartile Range test
Single/ Double/ Triple Exponential Smoothing
SP5 (Dec 2012)
Time series decomposition methods
Understand the business and identify issues
Load the SAP and non-SAP data into HANA or other source
Data Visualization and Sharing
Visualize the model for better understanding
Store the model and result back to HANA
Share results via PMML and with other BI client tools
Visualize and examine the data
Sample, filter, merge, append, apply formulas
Define the model via clustering , classification, association, time series, etc.
Run the model