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(1)

Megatrend in infrastructure software

Dr. Wolfram Jost

CTO

(2)

Agenda

• Positioning

• BPE Strategy

• Cloud Strategy

• Data Management Strategy

• ETS goes Mobile

(3)

Applications Processes &

Integration Business

Model

Flexibility &

Collaboration Layer

Each layer is unique in required flexibility and speed

(4)

Current State of Packaged Apps

• Functional and industry specific on-premise apps are built along organizational silos (HR, sales, finance, procurement, …).

• Due to the hard wired process logic (stuck in cement) and inflexible data models they are extremely difficult to change

• Configuration is built from technical people for technical people and not for business people (insight out and not outsight in)

Customization is based on table and parameter settings and not on business processes

These apps have a high time to value and are limiting rapid change and

fast innovation

(5)

Difficult to connect to mobile and cloud solutions Apps form a barrier to innovation

Poor support for unstructured content Poor industry-specific funtionality

Can’t extend processes to external partners Inflexibility limits process change

Poor internal/external collaboration tools Lack of visibility into process results

Mismatch between apps and business requirements Poor cross-functional processes

Diÿcult to upgrade High cost of ownership

Enterprise App Functionality often fails to meet Business needs

“How significant are the following business problems in our existing enterprise app implementations?”

14% 36% 26% 17% 8%

2% 10% 32% 55% 2%

2%

3% 13% 34% 49%

8% 24% 34% 31% 4%

11% 29% 35% 24% 3%

11% 29% 30% 27% 3%

7% 34% 30% 25% 4%

3% 14% 35% 44% 4%

3% 29% 41% 24% 4%

3% 9% 40% 45% 4%

3% 8% 24% 61% 4%

1% 10% 26% 59% 4%

Source: September 2011 Business Process Online Survey Base: 119 business process professionals (percentages may not total 100 because of rounding)

Not important Slightly/somewhat important Important Very important Don’t know

(6)

Applications Processes &

Integration Business

Model

Flexibility &

Collaboration Layer

Each layer is unique in required flexibility and speed

(7)

Agenda

• Positioning

• BPE Strategy

• Cloud Strategy

• Data Management Strategy

• ETS goes Mobile

(8)

Why BPE ? (1)

Enterprise Success (Revenue, Profit, Marketshare,…)

Making processes more efficient, effective, and innovative

Making process execution manageable

Making process execution visible, measurable, adjustable and flexible

BPE (Methodology/Content/Tools)

(9)

Enterprise- Business

Process Management

Cloud

Real time Collabo-

ration

Mobile Model2

Execute

Lifecycle Governance Social

Ease of use Enterprise-

Business

Process

Management

(10)

Components

Process Intelligence

Process

Discovery Process

Benchmarking Process Analytics

Governance SOA

Registry &

Repository

Policy Design

& Enforcement

Lifecycle Management User

Enterprise Architecture

Design EA

Analysis EA

Management EA

User

User User User

Process and Composite Applications

Process

Design Process

Automation Rules Master Data Management

Enterprise Service Bus

B2B Event

Processing Application

Integration Mainframe Integration

Partners Cloud/

(web) Apps Packaged

Applications Databases Application

Servers Mainframes

(11)

Strategy

(12)

Business Process

Process logic

(webMethods BPMS) Integration

logic (webMethods

ESB) Legacy

Contract processing

Contract data inserted

Sales admini-

strator Check

contract

Contract deficient

Correct

contract Contract

complete Contract

proposal received

Contract finalized Approve contract

SAP

Contract complete

Contract data

Contract data

Data logic

Function

Event

Application

Data

Organiza- tional unit

Business

logic

(13)

Enterprise Architecture Analytics

Location-based Analytics

Data Analytics

Event Analytics

Risk & Compliance Analytics

Organizational Analytics Process Structure

Key Performance Indicators

New Focus: Data Analytics

(14)

Mobile

Process Application Architecture

Cloud enabled technology base

Customer specific content

Generic platform

Process logic Business logic

In-Memory data store

BPMS Integration

SOA Analytics Application server

Cloud

Desktop

Web

Museums &

Libraries Insurance Bank . . .

ARIS

(15)

Complete model- and business-driven application development

Process Intelligence ARIS Business Modeling

Processes Services

Events Data

Business analyst

Process expert

Process worker

Process owner

Process worker

Manage- ment

Application developer

webMethods BPMS

webMethods ESB

Legacy

(Business logic) Application

Platform

services New

(Business logic) SAP

(Business logic)

(16)

Agility Layer

Application Platform

services New

(Business logic)

(17)

Agenda

• Positioning

• BPE Strategy

• Cloud Strategy

• Data Management Strategy

• ETS goes Mobile

(18)

Cloud Strategy

Cloud enabled Technology Base

(19)

SaaS SaaS On premise SaaS

new business logic

Business logic

Order-to-cash

Process logic (BPM)

Inquiry

processing Offer

processing Order

processing Shippment

processing Billing processing

iPaaS

On Premise ESB

Integration logic

(20)

Modeling & Dashboarding as a Service (public cloud)

Design Publish Dashboards

„Easy“ entry point to the

full BPE portfolio

Extreme Collaboration

Platform (ECP)

(21)

Cloud Stream

SaaS SaaS

SaaS

iPaaS

(22)

Agenda

• Positioning

• BPE Strategy

• Cloud Strategy

• Data Management Strategy

• ETS goes Mobile

(23)

Data Explosion Compounds Challenges

V ARIETY

Mobile

1010110010000101001 1010110010001110101001

10111001001

Kiosks

Web Sensors

Video Telemetry

Files Email

Social Media

1010110010000111101010011

(24)

Data Management

ETL How can application be smarter?

010010100011100011010 111010010100011101110 010000101010001111010 110010100011100011010 011010010100011101110 110000101010001111010

Analytical Data Transactional Data

Applications

010010100011100011010 111010010100011101110 010000101010001111010 110010100011100011010 011010010100011101110 110000101010001111010

Analytics

TRANSACTIONS INTELLIGENCE

(25)

110010100011100011010

111010010100011101110

110010100011100011010

111010010100011101110 110000101010001111010 110010100011100011010

110000101010001111010

110010100011100011010

111010010100011101110 110000101010001111010

Analytics Data Management Challenges

Analytical Data Transactional Data

Applications

Batch processing delays

Database bottlenecks SPEED

Costly to scale SCALE Capacity constrained

Restricted data models FLEXIBILITY New data

(26)

Analytical Data Transactional Data

Applications Analytics

The Way Forward

NEXT-GENERATION DATA MANAGEMENT

Real-time access and analytics to terabytes of in-memory data

Low latency integration for existing and new data

(27)

Software AG – Next Generation Data Management

NEXT-GENERATION DATA MANAGEMENT Integrated, transformative platform for data-intensive applications and analytics

Scalable Infrastructure: e.g. Cloud, Cluster, Grid

IN-MEMORY

COMPUTING Big Data NEXT GENERATION

ANALYTICS

(28)

NEXT-GENERATION DATA MANAGEMENT

In-Memory Data Management

Next Generation Data Management (NGDM)

Business Users Developers

Transactional Data

Adabas

Oracle, … Mainframe

Analytical and Big Data

Data Warehouse

Management Environment

noSQL Hadoop

New Applications, Mobile Dashboards, Data Analytics

Social Computing Internet of Things

Data Access

In-Memory Data Store

Low-Latency Data Bridge Event Processing

Data

Services

(29)

Main Drivers

(30)

Leading Technology from Software AG

The Forrester Wave is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave are trademarks of Forrester Research, Inc.

The Forrester Wave is a graphical representation of Forrester's call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor, product, or service depicted in the Forrester Wave.

Information is based on best available resources. Opinions reflect judgment at the time and are subject to change.

The Magic Quadrant is copyrighted by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner’s analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the “Leaders” quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. The Magic Quadrant graphic was published by Gartner, Inc., as part of a larger research note and should be evaluated in the context of the entire report. The Gartner report is available upon request from Software AG.

Gartner

Forrester

Magic Quadrant for SOA

Governance Technologies (2011)

Magic

Quadrant for Business Process Analysis Tools (2011)

The Forrester Wave™:

Enterprise Service Bus (2011)

Business

Process

Management

Suites Wave

(2010)

(31)

Agenda

• Positioning

• BPE Strategy

• Cloud Strategy

• Data Management Strategy

• ETS goes Mobile

(32)

Natural and Adabas Application meets Mobile

Data Mobile and

Backend Integration

Data

Transformation and Aggregation Enterprise Mobile Apps & Mobile Workers

Business Logic

Speed up Mobile App Development.

Natively deploy on many devices.

Rapid and flexible integration

Highly reliable transaction backbone

(33)

References

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