steve vazzano, sap solutions engineer matt iacoviello jr ... · matt iacoviello jr, sap solutions...

Enterprise Information Management

Steve Vazzano, SAP Solutions Engineer

Matt Iacoviello Jr, SAP Solutions Engineer

© 2014 SAP AG. All rights reserved. 2

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The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. This presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation and SAP's strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information on this document is not a commitment, promise or legal obligation to deliver any material, code or functionality. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. This document is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent.

All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.


My Background

Owned & operated a data quality company

Five years - SAP R/3 Implementation

Focus exclusively on SAP Data Management solutions


Agenda

SAP Information Steward Overview

Live Demonstration


“In God we trust, all others bring data.”

W. Edwards Deming

Run Better

Smoother business processes

Standardized and high quality information

Reduced IT costs

Make Better Decisions

Enhanced customer service

Increased marketing effectivness

Increased revenue growth

Reduce Risk

Improved accountability

Better accuracy and consistency

Compliance with internal and external regulations


information

information

Govern Information In Process with SAP Solutions for

Enterprise Information Management

Information Creation Information Consumption

Systems of Record

Non SAP Systems

SAP Business Suite

information

information

information

information

Data Warehouse

Systems of Analysis

Employees

Other Systems

Customers

Other Systems

SAP Master Data

Governance

SAP Information

Steward

SAP Data

Services

SAP Information

Steward

SAP Data

Services

Active Governance Passive Governance


Data Quality Management

Cleanse, match, and enhance data quality

SAP Information Steward

SAP Data Services


SAP Provides Your One-Stop Solution Data Integration, Data Quality, Text Analytics, and Information Stewardship

Information Platform Services

SAP BusinessObjects BI platform

SAP Data Services


Data Steward /

Data Analyst IT / Developer

IT /

Administrator

Data

Integration

Data

Profiling

Data

Quality Text

Analytics

Metadata

Management


SAP Data Services Your information highway serving SAP and NON-SAP environments

Imp

rove

relia

bility

of a

na

lytic

s

SAP ERP, SAP CRM,

SAP MDG* and MDM*,

SAP NetWeaver BW*,

…and non-SAP systems too!

BAPIs/IDocs/Web Services

Files, XML, HTML,

Mainframe,

Microsoft

Excel, text,

Qxtend, etc.

SAP HANA, Sybase,

Oracle, SQL,

DB2, HADOOP

PeopleSoft,

Oracle Apps,

Siebel, SFDC, etc.

SAP CRM,

SAP ERP,

SAP NetWeaver,

SAP BusinessOne,

SuccessFactors

Query,

Reporting,

Analysis,

and Dashboards

Data Migration,

Synchronization,

Real-Time, …

SAP HANA,

BW*, Sybase

Data

Pro

filin

g

Data

Services

Engine

Impact

Analysis

Data

Lineage

Text Data

Processing

Data

Validation

Data

Cleansing,

Enrichment

*SAP NetWeaver Business Warehouse (SAP NetWeaver BW); SAP Master Data Governance; SAP NetWeaver Master Data Management


Does this piece fit?


Working together for better information

“Good vs. Bad”

Define business rules

Business priorities

Find & fix errors

Business

IT

“Deploy”

Deploy business rules

Technical impact

Equip the business


SAP Information Steward Product Overview

Monitor

Quality

continuously

Improve

Data quality &

governance

Discover

Understand & catalog

enterprise data

Assess

Overall

data quality

Define

Rules and

ownership

IT IT can share data quality metrics with

business users and involve them in owning

the data problem

Business Business users can see how their information

measures up against information governance rules

and standards. Mobile and Email alerts

Designed for Business Users


Three Important Things

1. Data Lineage / Where Used

2. Business Terms

3. Data Profiling


Single Solution for Data Stewardship

Validation Rules

for Business

Process Centric

Data Profiling,

Advanced Data

Profiling

Metadata

cataloging and

analysis

DQM

Functionality

for party and

non-party data

(Create/Maint

ain Cleansing

Packages)

Business

Concept

Taxonomy

(Search,

tagging,

ownership

etc.)

Data Quality

Scorecards &

Analytics

Data Lineage

& Impact

Views

Cleansing

Rules

Business

Glossary

Data Quality

Workflow

Match Review

Task Mgt.

( Review /

Correct Match

Results)


Information Steward - Metadata Management Information you can trust with end-to-end metadata management

Report-to-source visibility

Lower TCO. Saves time.

See quality score of source

data

“Where did this number come from?”

“Where is this data field used?


Centralize and Manage Essential Metadata

“Where did

this number

come from?”

Data Lineage

Impact Analysis

“How will this

change in the

source impact

my BI

reports?”

Custom Attributes

Annotations,

Metapedia

Impact

Usage

Lineage

Trends

Search

Metadata

Integrators Analysis

Central

Repository

Metadata

Repository BI

Systems

Databases

ETL

Modeling

Tools

Business Metadata

Universe Creation

Audit Integrate

Co

ns

olid

ate


Metadata Integrators

SAP Information Steward’s Metadata Management Metadata Integrators (native and through additional MITI Bridge)

Metadata Management Integration to:

BI Systems

Databases

ETL

Modeling

Tools

Other Metadata Integrators available* Altova

Borland

CA

COBOL

Embarcadero

EMC

Gentleware

Silverun

Knightbridge (HP)

IBM

Informatica

Micsosoft

MicroStrategy

NoMagic

OMG

Oracle

SELECT

SPARX Systems

SUN

Sybase

Teradata

Tigris

Visible Systems Corp W3C

Metadata Integrators bundled with

Information Steward

SAP Software: BI Platform, Data Services, Data

Federator and SAP NetWeaver BW

NON SAP Software: CWMXML (CWM), RDBMS:

MSSQL Server, DB2, Teradata and JDBC Sources

Other metadata integrators available via Meta Integration Technology, Inc. (MITI);

http://www.metaintegration.net/Products/MIMB/SupportedTools.html

Re

du

ce

risk o

f pro

ject d

ela

ys o

r co

st o

ve

rrun

s



Validation Rules

for Business

Process Centric

Data Profiling,

Advanced Data

Profiling

Metadata

cataloging and

analysis

DQM

Functionality

for party and

non-party data

(Create/Maint

ain Cleansing

Packages)

Business

Concept

Taxonomy

(Search,

tagging,

ownership

etc.)

Data Quality

Scorecards &

Analytics

Data Lineage

& Impact

Views

Cleansing

Rules

Business

Glossary

Data Quality

Workflow

Match Review

Task Mgt.

( Review /

Correct Match

Results)


Business Term Encyclopedia

An Environment for Managing Business Terms

Terms can be

imported /

exported via Excel

Promote proactive data

governance with common

understanding and agreement on

business concepts

Central location for defining

standard business vocabulary (words, phrases, or business concepts)


Associate Terms with Other Terms and (Any) Objects

Business definition, Synonyms

and Data steward

Related business terms

Related information /

metadata resources

Enables easier and more usable navigation by

Name and Synonym, leading to related terms

and associated objects



Validation Rules

for Business

Process Centric

Data Profiling,

Advanced Data

Profiling

Metadata

cataloging and

analysis

DQM

Functionality

for party and

non-party data

(Create/Maint

ain Cleansing

Packages)

Business

Concept

Taxonomy

(Search,

tagging,

ownership

etc.)

Data Quality

Scorecards &

Analytics

Data Lineage

& Impact

Views

Cleansing

Rules

Business

Glossary

Data Quality

Workflow

Match Review

Task Mgt.

( Review /

Correct Match

Results)


Deep Profiling (Column Analysis) Point and Click (without coding)

Profiling summary +

statistics

Drill down to values

Drill down to source records


Advanced Profiling

Redundancy Profiling

Address Profiling

Validate address data

Dependency Profiling

Identify attribute-level

connections in data.

(Normalization rules practice)

Redundancy Profiling

Identify degree of duplication

Uniqueness Profiling

Identify non-unique data

Drill down to

duplicate and

non-duplicate

records


Harness the POWER of HANA

Instant response and faster time-to-value by

harnessing the power of HANA

Real-time insight into your data with instant

profiling and data quality validations

Push down data processing to HANA for faster

and more efficient processes

Parallel operations with Data Services and

HANA to support multi-source data processing

DS IS

Note: These are current observations and may be updated later


Visualization of Data Quality High-level balanced Data Quality Scorecard

Data quality score

metrics

Latest quality score

Quality trend

over time / run

Key Quality

Dimensions (KPI

for data),

customizable


Business Value Analysis

Data Quality Financial Impact Calculator

Connect financial ROI to data quality

and information governance initiatives

Understand and demonstrate how bad

data effects business bottom line

Identify potential savings using what-if

analysis of quality level and costs

See drivers and metrics of financial

impact calculation per failure


Find and Fix Compliance Errors within MDG Information Steward Compliance Scorecard within MDG (via RDS*)

MDG User

Interface

Scorecard

Embedded in

MDG

Create Data

Remediation

Change Requests

* Rapid Deployment Solution via SAP Services & partners


Questions?

Demonstration


Demonstration Scenario

Business Analyst

Investigate Data Quality 1. View Report 2. Review Data Lineage 3. Check Data Profile

Data Steward

Monitor Data Quality 1. Analyze Data Profile 2. Create New Rule 3. Review Data

Scorecard

Provide Trusted, Consistent, and Clear Information

Ensure Continuous Data Quality Monitoring

Improve BI Maintenance time and Responsiveness

Increase Business Engagement in BI Data Quality

ASUG_BILaunchPad.pptx

ASUG_InfomationSteward.pptx


New! Information Governance Model + Self-Assessment

Information Governance model:

• Expand your approach to solving information problems, so you aren’t

caught in endless cycles of “keeping the lights on”.

Self-assessment:

• Highlight what good looks like for key organizational and

technology components, including which to target.

Information as an Asset Roadmap

• Map your funded, information-heavy projects to

strategic EIM initiatives.

Result:

• A vetted, reviewed, and focused plan for your information

strategy!

Get the tools here: http://scn.sap.com/community/enterprise-information-

management/blog/2014/07/08/new-information-governance-model-from-sap

http://scn.sap.com/community/enterprise-information-management/blog/2014/07/08/new-information-governance-model-from-sap
















Thank You!

Steve Vazzano

Solutions Engineer

[email protected]


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