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Frank Rambo & Frank Bannert, Customer Solution Adoption (CSA) September 2012 SAP Visual Intelligence Learn how to use SAP's ultimate solution for self-service BI!

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Frank Rambo & Frank Bannert, Customer Solution Adoption (CSA)

September 2012

SAP Visual Intelligence Learn how to use SAP's ultimate solution for self-service BI!

Agenda Overview Data Discover Market Segment (aka Self-Service BI)

What is SAP Visual Intelligence?

Demo 1 : SAP Visual Intelligence on HANA

Demo 2: SAP Visual Intelligence on BI Universes

SAP Visual Intelligence vs BO Explorer

Q&A

© 2012 SAP AG. All rights reserved. 3

The Data Discovery Market Segment

What is Self-Service BI?

With their focus on IT driven standards and control, traditional Enterprise BI Platforms fail at delivering business users with

the ease of use and flexibility they require. In addition, the shift from measurement to analysis, forecasting and optimization

is in favor of the new Data Discovery (aka Self-Service BI) tools.

Traditional Enterprise BI Platforms Data Discovery Platforms

Key buyers* IT Business

Approach* Top down, IT modeled (semantic layers),

query existing repositories

Bottom up, business user driven, move

data into dedicated repository

User

interface*

Report/key performance indicator (KPI),

dashboard/grid

Visualization & data exploration

Use case* Monitoring, reporting Analysis

Deployment* Consultants Business users

Focus Standards and control, several tools

(separate design-time/run-time

experience)

Ease of use and flexibility, one tool

(merged design-time/run-time experience),

shorter time to value

*Source: Gartner Magic Quadrant for Business Intelligence Platforms (January 27, 2011)

© 2012 SAP AG. All rights reserved. 4

Value Proposition 1

Discover departmental

data and share insights

Value Proposition 2

Deploy this content into

the enterprise

Value Proposition 3

Consume SAP HANA

enterprise content

online

Acquire data from different

sources and combine it

Cleanse and manipulate the

data

Explore and visualize the

data and share the results

Publish SAP Visual

Intelligence output models into

SAP HANA

Consume resulting HANA

views with BI clients and SAP

BO Mobile

Explore & visualize SAP

HANA views online

Extract SAP HANA content

locally and merge with

personal data sources

What is SAP Visual Intelligence?

Self-Service BI for Business Analysts

SAP Visual

Intelligence

CSV XL SQL UNV

IQ

UNX

SAP Visual

Intelligence

Information

Models SAP HANA

Publish

SAP Visual

Intelligence

Information

Models SAP HANA

Explore & Visualize

© 2012 SAP AG. All rights reserved. 5

SAP Visual Intelligence

Key Benefits

Near-instant value for business user

Ability to access and manipulate

heterogeneous data sources

High performance on big data

Powerful visualizations for interactive

analysis

No IT or developer dependency and no

scripting required

Ability to leverage existing

investments in SAP HANA or

SAP BO Business Intelligence

© 2012 SAP AG. All rights reserved. 6

SAP Visual Intelligence

2012 Roadmap

Directly connect to HANA

data

Easy to use and quick to

install

Create interactive

visualizations on top of

HANA

Expanded data sources (HANA, Excel, Csv)

Data merge and manipulation without scripting Visualize data via Explorer web and mobile SAP StreamWork integration

1.0.1 1.0

Visualization improvements Further integration with Explorer web and mobile Tier 1 Language support

1.05*

Expanded data sources (HANA, Excel, Csv, Freehand SQL)

Non SMP auto update

Add enterprise data

acquisition: UNV, UNX

1.0.2 / 1.0.3/ 1.0.4*

*Planned and subject to change!

© 2012 SAP AG. All rights reserved. 7

SAP Visual Intelligence

2012 On Premise / On-Demand Ecosystem

SAP Visual

Intelligence

CSV HANA XL SQL UNV

IQ

StreamWork

Web StreamWork

BIP

Explorer

Web

BIP

Explorer

Mobile HANA

BIP

Publish model & data

Consume model & data

Upload/Download

to/from

StreamWork

Publish viz/dashboard

1.0.0 (May 15, 2012) 1.0.1 (June 27, 2012) 1.0.2 (July 27, 2012) 1.0.3/1.0.4

On Demand

On Premise

1.05 (Planned – Subject to change!) UNX

© 2012 SAP AG. All rights reserved. 8

DEMO 1

© 2012 SAP AG. All rights reserved. 9

SAP Visual Intelligence on SAP HANA

For business analysts …

The fastest, most engaging

way of discovering

answers …

From massive data

volumes …

© 2012 SAP AG. All rights reserved. 10

Summary: SAP Visual Intelligence for SAP HANA

1. Fast

Get answers at

high speed

2. Engaging

Empower people to

interrogate data

3. On Massive Data

Volumes – Add

greater information

context

Real-time on detailed

data on the fly

Fewer layers, simpler

landscape, faster ROI

Intuitive discovery and

analysis experience

Self-service visualizations

and analytics

Ask any question

Insight from structured

and unstructured data

On operational data for

agility across your value

chain

© 2012 SAP AG. All rights reserved. 11

DEMO 2

Access multiple data sources (CSV file and BusinessObjects Universe)

Data manipulation and merge

Group data and visualize

Publish data to HANA and StreamWork

© 2012 SAP AG. All rights reserved. 12

Benefits – SAP Visual Intelligence

For the Business For IT

Self-Service

Ability for end-users to create and

visualize their own analytics

without engaging IT

Increased User Adoption

of Analytics

Intuitive interface requiring minimal

user training

Faster Time to Analysis

Achieve faster response time and

better understanding with insight in

visual form from diverse data sources

Total Cost of Ownership

Leverage existing SAP HANA

investment ● 1 unified platform

to deploy and administer

Connected to the Enterprise

Leverage existing data, security,

and administrative services

Secure

One IT-sanctioned security

model

VISUAL

INTELLIGENCE

VS. EXPLORER:

WHAT ARE THE

DIFFERENCES?

© 2012 SAP AG. All rights reserved. 14

Visual Intelligence vs. Explorer: 3 Differences

Build Your

Own

Visualizations

Transform

Data The Way

You Want It

Acquire

Your Own

Data

© 2012 SAP AG. All rights reserved. 15

Visual Intelligence vs. Explorer: 3 Differences

1. Data Acquisition 2. Data Transformation 3. Data Visualizations

Acquire your own data

from different sources

Combine multiple

data sources

Transform data the way

you want it

Make data better suited for

discovery and analysis

Build your own

visualizations

More granular control and

advanced options

Thank You!

Contact information:

Frank Rambo, Frank Bannert

[email protected]

blogs.sap.com/analytics

facebook.com/sapanalytics

twitter.com/#!/@businessobjects

© 2012 SAP AG. All rights reserved. 18

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