Derek Johnson / Zane Connally / Sheldon Edelstein, SAP Labs, Inc.

October 2013

EA161

Consuming SAP HANA Predictive Functions with

SAP Business Planning and Consolidation

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Disclaimer

This presentation outlines our general product direction and should not be relied on in making a

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Agenda

What is SAP Business Planning and Consolidation (BPC), Predicative Analytics (PA), and

HANA?

A high level overview of BPC, Predictive Analytics, and HANA.

Planning using SAP Predictive Analysis (using offline BPC data extracts)

BPC data extracts are imported/exported into the SAP Predictive Analytics tool for forecast creation.

Planning using SAP Predictive Analysis (accessing SAP HANA Online)

The ability to connect to a live HANA system is emphasized, focusing on accessing BPC data from a live HANA

system, executing predictive and filtering functions on BPC data, and writing a result set back into a live HANA

table.

Planning using BPC and SAP HANA PAL (Predictive Analytics Library)

Seamlessly execute HANA Predictive Analytics Library functions automatically and on demand via a Dashboard

in the BPC Web Admin interface.

Overview of BPC, Predictive

Analytics, and HANA

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What is SAP Business Planning and Consolidation used for?

Financial reporting and analysis

Ad hoc

Variance analysis

Driver analysis (industry, growth, capacity, etc.)

Forecasting and consensus building

Rolling forecasts

Continuous planning

Collaboration

Business planning

Budgeting

Sales/revenue planning

Capital expenditure planning

Headcount/staffing

Expense planning

Cash flow/liquidity planning

Consolidation

Intercompany matching/reconciliation

Intercompany eliminations

Management roll-ups

Legal consolidation

Planning, budgeting, forecasting and financial consolidation in one application

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47%

30%

23%

Financial Analyst time

Collecting and validating data

Administering the process

Providing value-added analysis

Less than a quarter of Finance’s time is being spent on providing

value-added analysis to the business!

Source: APQC. 2012

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In-memory technology enables better planning and analysis

Tackles the Big Data challenge

Supports real-time planning and analysis

Enables cross functional detailed planning

Shrinks decision cycle-time

Enables cross functional Enterprise Business

Planning

Facilitates dynamic forecasting

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SAP Business Planning and Consolidation, version for SAP

NetWeaver – Powered by SAP HANA

Reporting and Data Entry

Business Calculations

* All figures are based on best case scenario that we could build (reasonable test case) * A query optimization POC was introduced in the internal system. Similar code optimization will be introduced in the product in a later SP

200x improved query

performance

60x faster report

refresh

2.3x improved allocation

performance

2.4x faster driver-based

planning calculations

14x quicker input of large

data volumes

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HANA Application Function Library

Real-Time Data

SAP Data Spatial Data

Spatial Data

Business Data

Spatial

Functions

Calc Model

/ Views

Text

Analysis

Geo-

Services Predictive

Functions

Non-SAP Data

Store, process,

manipulate, retrieve,

and share data

Unified Modeling

Platform

Predictive Analysis

Text Analysis

Geo-spatial (planned)

Optimized in-memory

processing

SAP HANA

Real-Time Data

OLTP Analytics Planning Predictive Text Spatial

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Challenges

Forecasting

Key

Influencers

Trends

Anomalies

Relationships

How do historical sales, costs, key

performance metrics, and so on, translate to

future performance? How do predicted

results compare with goals?

What are the main influencers of customer satisfaction, customer churn, employee turnover, and so on, that impact success?

What are the trends: historical /

emerging, sudden step changes,

unusual numeric values that

impact the business?

What are the correlations in

the data? What are the

cross-sell and up-sell

opportunities?

What anomalies might

exist and conversely

what groupings or

clusters might exist for

specific analysis?

Predictive analytics examples

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Extend your analytics capabilities

Analytics maturity

Co

mp

eti

ve

ad

van

tag

e

Sense & respond Predict & act

Raw

Data

Cleaned

Data

Standard

Reports

Ad Hoc

Reports &

OLAP

Generic

Predictive

Analytics

Predictive

Modeling

Optimization

What happened?

Why did it happen?

What will happen?

What is the best that

could happen?

The key is unlocking data to move decision making from sense and respond, to predict and act

Exercise Group 1 Planning using SAP Predictive Analysis

(using offline BPC data extracts)

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Planning using SAP Predictive Analysis (using offline BPC data extracts)

SAP HANA

HANA Tables

supporting BPC

model

BW BPC BPC

Model

BI Reporting

EPM Reporting

ERP

1. In the first set of exercises, you will create

a flat file extract of BPC data

2. Import it into the SAP Predictive Analysis

application

3. Execute predictive algorithms to generate

a forecast

4. Enter the results into BPC using a web

input schedule SAP

Predictive

Analysis

Transaction

1

2

3

4

Exercise Group 2 Planning using SAP Predictive Analysis

(accessing SAP HANA Online)

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Planning using SAP Predictive Analysis (accessing SAP HANA Online)

SAP HANA

HANA Tables

supporting BPC

model

BW BPC BPC

Model

BI Reporting

EPM Reporting

ERP

1.In this set of exercises, you will read the

BPC data directly from the supporting

HANA database tables, importing this

data directly into the SAP Predictive

Analysis application

2.Execute predictive algorithms to filter

and/or generate a forecast

3.Export the results to a table in HANA for

BI reporting or potentially inclusion into

the BPC dataset.

SAP

Predictive

Analysis

Transaction

1

2

3

Analytic View

Transient Provider

Composite Provider

not part

of today’s

workshop

Exercise Group 3 Planning using BPC and SAP HANA PAL

(Predictive Analytics Library)

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Planning using BPC and SAP HANA PAL (Predictive Analytics Library)

SAP HANA

HANA Tables

supporting BPC

model

BW BPC BPC

Model

BI Reporting

EPM Reporting

ERP 1.In this exercise, you will use a BOBJ

Dashboard in the BPC web admin client

which executes an ABAP method

automatically via the BPC Write Back BAdI

2.The ABAP method will trigger a stored

procedure in HANA that calls the PAL

function

3.Forecast data generated by HANA

procedure is written to a HANA BW

schema table supporting a BW DSO

4.Forecast data in DSO and BPC Finance

data in InfoCube are UNIONed with the

system generated BPC MultiProvider

Transaction

1

2

3

4

HANA Table supporting

DSO model

DSO containing

generated

forecast

BPC Multi

Provider

Predictive functions

from HANA PAL

(Predictive Analytics

Library)

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Further Information

Important SAP Notes

Note 1650957 - SAP HANA Database: Starting the Script Server

Note 1612696 - "Invalidated view" error when using analytical views

Note 1605168 - SAP HANA - Handling priviledges after upgrade to Revision 12

SQL Script

SAP HANA SQLScript Reference

SAP HANA SQL Reference Manual

Predictive Analytics Library

SAP HANA Academy Video Tutorials on how to use the PAL (Predictive Analytics Library)

SAP Help - PAL (Predictive Analysis Library)

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Further Information

SAP Education and Certification Opportunities

www.sap.com/education

Watch SAP TechEd Online

www.sapteched.com/online

SAP Public Web

http://scn.sap.com/community/epm/planning-and-consolidation-for-netweaver

http://scn.sap.com/community/predictive-analysis

http://scn.sap.com/community/developer-center/hana

http://scn.sap.com/community/epm/planning-and-consolidation-for-netweaver/blog/2013/08/09/why-

you-need-sap-business-planning-and-consolidation-version-for-sap-netweaver--powered-by-sap-

hana-today

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Feedback Please complete your session evaluation for EA161.

Derek Johnson derek.l.johnson@sap.com

Zane Connally zane.connally@sap.com

Sheldon Edelstein sheldon.edelstein@sap.com

Thanks for attending this SAP TechEd session.

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