Andy Hirst VP FS Services SAP - Business Intelligence for banks

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Andy Hirst June 18 2012 Business Intelligence

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See the latest trends in In-memory, Data Discovery, Mobile Analytics, Predictive Analytics and Social Media collaboration for Banks - June 2012

Transcript of Andy Hirst VP FS Services SAP - Business Intelligence for banks

Page 1: Andy Hirst VP FS Services SAP - Business Intelligence for banks

Andy HirstJune 18 2012

Business Intelligence

Page 2: Andy Hirst VP FS Services SAP - Business Intelligence for banks

http://www.photoeverywhere.co.uk/west/usa/california/sunset_oil_rigDSC_4701.jpg

“Data is the new Oil” – Clive Humby

Page 3: Andy Hirst VP FS Services SAP - Business Intelligence for banks

© 2012 SAP AG. All rights reserved. 3

SAP’s Five Market Categories

Go to Market

Cloud

Database and Technology

Mobile

Analytics

Applications

11 L

ines

of B

usin

ess

11 Lines of Business

24 Industries

Powered by SAP HANA

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© 2012 SAP AG. All rights reserved. 4

Top technology priorities of CIOs, Gartner

2011Rank Technology

1 Cloud computing

2 Virtualization

3 Mobile technologies

4 IT management

5 Business Intelligence

6 Networking, voice, and data communications

7 Enterprise applications

8 Collaboration technologies

9 Infrastructure

10 Web 2.0

2012Rank Technology

1 Analytics and business intelligence

2 Mobile technologies

3 Cloud computing (SaaS, IaaS, PaaS)

4 Collaboration technologies (workflow)

5 Legacy modernization

6 IT management

7 CRM

8 ERP applications

9 Security

10 Virtualization

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© 2012 SAP AG. All rights reserved. 5

Banks Implement BI for Reporting, Cost Reduction and Risk Management

Source: 2010 IDC Vertical Group Survey

Q: What were the top 3 drivers for your organization to implement Business Analytics/Intelligence solutions?

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© 2012 SAP AG. All rights reserved. 6

Enterprise Performance Management

Governance, Risk, and Compliance

Enterprise Information Management

Planning, Budgeting, and Forecasting

Financial Consolidation

Strategy Management

Profitability and Cost Management

Disclosure Management

Analytics for Banking

Historical | Real-time | Forward-looking | Collaborative | Highly Formatted

Enterprise Data Sources

Governance, Risk, and Compliance

Enterprise GRC

Global Trade Services

Access Risk Management

Continuous Transaction Monitoring

EnterprisePortalsMS OfficeOn Demand

ServicesBrowsersMobile

Other Application/Data Sources

SAP Social Media ContentUnstructured

ContentOLAP Servers, Data Warehouses & Marts

Embedded Content

MS Excel

Business Intelligence

OLAP Analysis

Reporting

Data Discovery

Dashboards

Mobile

Predictive Analytics

Enterprise Information Management

SAP HANA / IQ / ASE

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© 2012 SAP AG. All rights reserved. 7

Strategic use cases for Analytics in Banking

Enterprise Risk Reporting for Banking

ManageRisk

BePrepared

OperateEfficiently

Increase Sales

Statements and Extranet Reporting

WealthManagement

Improve Performance

Finance Compliance OperationsManagement

Planning and Consolidation

for Banking

BankersDashboard

Branch Sales and Customer Analysis

Mortgage PortfolioAnalysis

Core BankingReporting & Analysis

Customer Sentiment Analytics for Banking

Cost and Profitability Analysis for

Banking

Talent andHR Reporting and Analysis

IRFS Reporting & Closing the Books

IT Incident and Project Reporting

Real-TimeMarket Risk Valuations

Mobile Analytics

Sales

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© 2012 SAP AG. All rights reserved. 8

Analysis

SAP Suite

SAP BW

Reporting

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© 2012 SAP AG. All rights reserved. 9

Analysis

SAP Suite

Reporting

SAP BW relationalDWH

OperationalSystem

other data …

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© 2012 SAP AG. All rights reserved. 10

Analysis

SAP Suite

Reporting

SAP BW relationalDWH

OperationalSystem

other data …

Semantic layer

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© 2012 SAP AG. All rights reserved. 11

Analysis

SAP Suite

Reporting

SAP BW Sybase or 3 rd party

OperationalSystem

other data …

HANA

Semantic layer

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© 2012 SAP AG. All rights reserved. 12

AnalysisData DiscoveryExploration

SAP Suite

Reporting

SAP BW Sybase or 3 rd party

OperationalSystem

other data …

HANA

Semantic layer

Em

bed

ded

An

aly

tics

HR

,CR

M ,

Pro

cure

ment

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© 2012 SAP AG. All rights reserved. 13

Analysis Data DiscoveryExploration

SAP Suite

Reporting

SAP BW relationalDWH

OperationalSystem

other data …

HANA

Semantic layer

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© 2012 SAP AG. All rights reserved. 14

Analysis

SAP Suite

Reporting

SAP BW Sybase

OperationalSystem

other data …

HANA

Mobile

Semantic layer

Data DiscoveryExploration

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© 2012 SAP AG. All rights reserved. 15

Analysis Data DiscoveryExploration

SAP Suite

Reporting

SAP BW Sybase

OperationalSystem

Analytic Apps

other data …

HANA

Mobile

Semantic layer

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© 2012 SAP AG. All rights reserved. 16

SAP Big Data Solution Capabilities

SAP Business Suite

SAP Mobile Applications, Sybase Unwired Platform

Transaction Processing

DB Engine

In-memory Computing Engine

DB Engine

Analytic Engine

DB Engine

MapReduce Batch Compute Framework

Co

lle

ct

Sto

reP

roc

es

sP

res

en

t

Sybase Replication Server, SAP BusinessObjects Data Services(Integrate / synchronize data across deployment options)

SAP Big Data Processing Framework

Sybase ESPStream & event

processing

SAP Big Data Landscape

SAP HANA Sybase IQ

Sybase ESPMonitor / filter

streaming events

Semi-structured Data Structured Data Unstructured Data

HadoopSybase ASE

Hive/HDFS

SAP BusinessObjects BI solutions

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© 2012 SAP AG. All rights reserved. 17

SAP BusinessObjects Business Intelligence Strategic Focus for 2012

Innovation without Disruption

BI 4.0• Market

leadership• New 4.0

FP3

Simple • Win the

department• Bank

content

Mobile • Expand to

untapped users

• Instant , powerful in your hands

Extreme• Big Data • Real Time • Predictive

Collaborative • Capture the

decision • Information

in context• Team

decisions

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© 2012 SAP AG. All rights reserved. 18

SAP BusinessObjects Business Intelligence New Products for 2012

Innovation without Disruption

BI 4.0 FP3

Exploration Views

Simple

SAP Visual Intelligence

Mobile

SAP BI Mobile

Extreme

SAP Predictive Analytics

Collaborative

SAP

StreamWork

New New

New

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© 2012 SAP AG. All rights reserved. 19

Mobile Analytics with in-memory data creates compelling value

+SAP HANAIn-Memory Computing

+

RiskFinance

Customer Trading

HR

= VALUE

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© 2012 SAP AG. All rights reserved. 20

1

3 Mobile Analytics

In memory

2 Data Discovery

WHAT ARE THE TRENDS FOR ANALYTICS ?

4 Predictive Analysis

5 Collaboration/Social Media

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© 2012 SAP AG. All rights reserved. 21

Instant Insight with SAP BI Mobile- Bankers Dashboard

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Data Discovery with Exploration views

Page 23: Andy Hirst VP FS Services SAP - Business Intelligence for banks

© 2012 SAP AG. All rights reserved. 23

SAP Visual Intelligence – New Data discovery tool 3Q 2012

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© 2012 SAP AG. All rights reserved. 24

Collaboration With SAP StreamWork

Collaborative decision making

• Unite people, information,and structure

• Share and analyze enterprise data

• Be productive in minutes

• Secure and extensible

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Collaborate inside and outside the bank

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© 2012 SAP AG. All rights reserved. 26

Delivering the next generation of business applications, powered by SAP HANA

Platform for amazing new applications built by SAP, Partners & Customers

Powerful in-memory computing capabilities to enable real-time, data- intensive analysis such as simulations, data mining, and forecasting

Enriched with business function library

Transforming the way we plan, collaborate, decide and execute

SAP HANA

SAP Built Apps Partner Built Apps Custom Built Apps

in-memory

computing

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© 2012 SAP AG. All rights reserved. 27

Business Intelligence

Analytic PlatformAnalytic Platform

New analytic infrastructures

DataBusiness Applications

We now have the possibility to dramatically simplify our analytic infrastructures

SPEED & FLEXIBILITY

Risk Calculation Engine

Query Results

Operational Data Store

Data Warehouse

Indexes

Aggregates

ETL

DataMarts

Query

Copy

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© 2012 SAP AG. All rights reserved. 28

Strategic use cases for Analytics in Banking

Enterprise Risk Reporting for Banking

ManageRisk

BePrepared

OperateEfficiently

Increase Sales

Statements and Extranet Reporting

WealthManagement

Improve Performance

Finance Compliance OperationsManagement

Planning and Consolidation

for Banking

BankersDashboard

Branch Sales and Customer Analysis

Mortgage PortfolioAnalysis

Core BankingReporting & Analysis

Customer Sentiment Analytics for Banking

Cost and Profitability Analysis for

Banking

Talent andHR Reporting and Analysis

IRFS Reporting & Closing the Books

IT Incident and Project Reporting

Real-TimeMarket Risk Valuations

Mobile Analytics

Sales

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© 2012 SAP AG. All rights reserved. 29

Statements and Extranet Reporting

Click icon to add picture

Current Customer Situation 24x7 access for customer and partners to secure information

and analysis in back-end systems Presenting customer statements for pensions, accounts,

products via web and mobile

Description Extranet reports for customer or partner analysis Mobile access to statements and analyses Secure self-service access

Value Proposition Web or mobile access to reports and analyses for thousands of

customer statements with the SAP BusinessObjects BI portfolio

Outcome Opportunity Reduce operational costs Improve customer loyalty

SAP Analytic App

Custom App

Advanced with SAP BusinessObjects BI 4.0 solutions and SAP BusinessObjects EIM 4.0 solutions

Return

SAP BusinessObjects Analytic Application

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© 2012 SAP AG. All rights reserved. 30

IRFS Reporting and Closing the Books

Click icon to add picture

Current Customer Situation Too many manual processes Align GL and operational systems to produce

correct figures Meeting IAS 9 & IRFS requirements

Description Consolidate any number of complex GLs into one Automate production of financial figures Produce regulatory filings and reports

Value Proposition SAP BusinessObjects Financial Consolidation enables risk

adjusted planning and accelerated financial closes Combine with SAP Business Suite software for an

end-to-end solution

Outcome Opportunity Close your books in < 3 days at end of quarter Fewer errors and manual reworking to reduce costs Meet regulator concerns

Custom App

Advanced with SAP BusinessObjects applications

Return

SAP BusinessObjects Analytic Application

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© 2012 SAP AG. All rights reserved. 31

The Citi Future State Global Financial Analytics Platform

Dashboards Operational ReportingAd Hoc Analysis

Citi Finance DB’s:

Unified Reporting Layer (URL) – Business Objects Universe

• Robust, Ad Hoc analysis • Ease of formatting• Flexible • Excel Plug In

• Executive Snapshot reporting‒ KPI / metric reporting ‒ Workflow for

comment/action

• Analysis on the go • Build once, deploy many

places - on any device

• Formatted Reports • Standard Reports• User Defined Reports• High Volume

ECDW P2P APSCRCGENESISCiti Data Sources

Data Exploration

• Evaluate Trends• Search + Discovery• Drill Down, Slice + Dice• Focus on Casual Usage• Self-Service

Op. Data Mart(HANA)

= Limited Citi Business Objects Use

Mobility

The Right Tool for the Right Purpose

JadeFRS PearlSybase IQ

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© 2012 SAP AG. All rights reserved. 32

Branch and Sales Analysis – Powered by SAP HANA

Current Customer Situation Track sales figures versus budget in branches Inability to identify cross-selling opportunities

Description Trusted data foundation of clean data Powered by SAP HANA to deliver instant view of your

customer Self service reports and dashboards tracking and monitoring

sales performance by any dimension

Value Proposition SAP BusinessObjects Dashboards delivers context-specific

interactive insight for sales management Market share reports and analysis at speed of thought

Combine with SAP CRM and SAP HANA to deliver a true real-time view of your sales performance

Outcome Opportunity Manage by exception branch sales Improved sales effectiveness Understand daily account balances

Analytic App from SAP

Custom App

SAP BusinessObjects BI solutions, SAP BusinessObjects EIM solutions and powered

by SAP HANA

Return

SAP BusinessObjects Analytic Application

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© 2012 SAP AG. All rights reserved. 33

Deutsche Bank- Campaign Effectiveness

33 M 40Customer recordsGB

5 seconds

45 minutes

Standard System In-Memory System

From 40 GBTo 6,6 GB

>700 m records (3mths)>33m customers 2 x Hana nodes

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© 2012 SAP AG. All rights reserved. 34

Example Analysis

Savings milestonesoffers

Balance build stimulation offers

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© 2012 SAP AG. All rights reserved. 35

Page 36: Andy Hirst VP FS Services SAP - Business Intelligence for banks

Thank you

Andy [email protected]

Twitter andyhirstbi