accelerate performance with information governance

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A global multi-industrial company with core businesses in the automotive, building and energy storage industries.

Johnson Controls

April 2015

Wherever they live, work or travel, people all over the

world are touched by Johnson Controls products

and services every day.

© Copyright Johnson Controls, Inc. All rights reserved..3

We are where our customers need us to be

170,000 employeesserving customers in

150+countries


Overall System Landscape

330Sites

30Countries

60kUsers

82ERP

11ECC

4SRM

16PLM

7BW


Overview of EIM Requirements / Processes

Provide a platform to support the establishment of data governance practices; specifically around master data and metrics

Implement a repeatable “factory” approach for ingesting data from our various data sources

Elevate the data quality, prior to migration onto Unity during high velocity deployments

Consolidate data and resolve conflicts across our business units prior to deployment wave


Unity Overview

Give Johnson Controls one integrated technology backbone.

Deliver a shared source of data to help the company make

more informed decisions.

Support the Johnson Controls Operating System.

Make it easier to add and reorganize business segments.

Equip the company with a consistent set of capabilities to

run our businesses and serve our customers.


EIM Solution

Conversion Staging

(MS SQL)

Enterprise Applications (To Remain)

Address CleansingService

GeocodingService

IT Tools

Presentation Platforms

Modeling Tools

Unity SAP Suite (HANA)

Info Steward (SAP)

Lake Johnson (Data Lake)

Enterprise Data Warehouse(HANA)

Unity BW(HANA)

Harmonization(Hive - Hadoop)

Ingestion Area(HDFS - Hadoop)

Legacy Data Warehouses (Co-existence)

CRM(SFDC)

Tivoli TWS(Enterprise Job Orchestration)

Operational Monitoring(Manage Engine, SSCM)

Microsoft BI tools(Self Service)

SSRS

Power BI

SSAS

PPS

Data Architect

ARIS

Workday

Unity SRM

Peoplesoft

Solution Manager

Hana Studio

Lumira Visualization Server

XS Application/API Engine

Unity MII

AE-PLM(Team Ctr)

Taulia(eInvoicing)

BE-PLM(TBD)

FioriSmart Business Analytics(SAP)

HTML5/Responsive(bespoke)

SAP BO (BI Platform)

Lumira

Data Explorer

Web Intel

Crystal

Design Studio

Infographics(ext-D3/JS)

REST API

JDBC/ODBC

Back Office Associates(BOA)

PS PLM(SAP)Unity EWM

APO ILM (Retention Policy)

Conversion Staging(Oracle)

StagingFinal

SAP SLT

Frozen Archive(HDFS – Hadoop)

WIP

Data Services (SAP)

Deduplication

Consolidation

Facilitated Cleanse

Extended Rosetta Stone(Cross-reference)

Encyglonary(Enterprise Metadata)

oData

Graph Database Engine

Legacy ERPs (To Be Retired)

...

AE-Saturn(SAP)

PS-EMEA(SAP)

BE-MFG(SAP)

PS-ES(SAP)

AE-ASIA(QAD)

BE-NA(Oracle eBiz)

PS-MFGPro(QAD)

Virtual Datamarts

Master Domain Dimensions

Initial Master Domain Data

Metadata Repositories

Embarcadero Team Server

SAP Metapedia

SAP Metadata ManagerTroux

Datum IVM

ARIS

SAP Solution Manager

SAP UniversesHadoop HCAT

Raw Application Data

Secondary Dimensions

Normalized Warehouse

Predictive Analytic Library

ILM (Archiving)

ILM (Decomissioning)

CPS Redwood (SAP Job Orchestration)

EI

BODSAdapter

BE-Symix(SAP)

Enterprise Integration (EI)

...

StagingMigration

EL

ELFunctional Data

Transactional Data

Obfuscated Data(Risk Mitigation)

SDASDA

SDA

SDA

Tokenized Data(Risk Mitigation)

Innovation (HDFS - Hadoop)

Privacy Fortress

FTL

SDA

SDA Legacy BWs Business DWs...

HANA Live

Baseline Solutions

JDBC/ODBC JDBC/ODBC

Master Data Governance(HANA)

Domain Masters

Partner Domain

Material Domain

Finance Domain

Reference Domains

Master Data Services

Key Mapping X-Ref

Value Mapping X-Ref

Central Number Service

Domain Search

Consolidation

Fiori U/X (Mobility)

Application Linking Enablement (ALE)

Fiori and Persona based U/X (Mobility)


MDM Deployment Cycle Approach

Unity Deploymen

t Wave

Unity Deploymen

t Wave

Unity Deploymen

t Wave

Unity Deploymen

t Wave

Unity Deploymen

t Wave

Master Data Wave

Master Data Wave

Master Data Wave

Master Data Wave

Master Data Wave

Source Extract

Stage

Cleanse

Validate

Rationalize

Verify

Load Master

• Deployment to the MDM hub and adoption of the master data business process is a key to quality deployments

• The longer a system is under master data processes the lower the conversion effort

• Early landing of legacy source data to the data lake allows for quality and completeness checks and remediation (health assessments)

• Consolidation, rationalization and archiving reduce the size and complexity of master data and Unity deployments

• “Rosetta Stone” completeness increases with each deployment

• Will support & enable interim state/co-existence capabilities

• Pull-forward from future Unity Waves will be enabled by this iterative approach

Master Data Cycle

“Rosetta Stone” is an enabler to unified enterprise

reporting and analytics being delivered to the business

earlier then actual deployments


Master Data Governance

The SAC is considered JCI “Business Best Practice” for managing Suppliers

Objective meld SAC and MDG leading practices together allowing JCI to leverage existing benefits while gaining the benefits of an industry leading packaged MDM solution

Prototype built in eight (8) weeks; from platform installation though testing.

MDG-S effort was less than ¼ what it would have taken with bespoke ABAP

Prototype demonstrated to the Procurement, Master Data, and JCI Unity Program Leadership; resulting in approval to proceed and project added to the Unity program


MDG Platform Agility and Flexibility

Rules Revision 1

Revision 2

Revision 3

Revision 4

Revision 5

Process Version 1 Version 2 Version 3

Application Release 1 Release 2

• AGILITY – The MDG configuration based process and business rule lifecycles allows for reduced delivery time and effort when implementing business requirements

• FLEXIBILITY – Rule based approach to define and execute validation and routing requirements within the process workflows provides a declarative method to meet complex use cases.


Significant Accomplishments & Challenges

MDG on HANA (one of the earliest production installs)

Deployment of lean create and approval applications on Fiori platform

Smart Business Analytics implementation as part of MDG deployment

Successful “prototype” leading to re-scheduling to implement ahead of major enterprise ERP consolidation/standardization.

Initial data profiling scalability; IS/DS platforms provide excellent capabilities for interactive and even “Enterprise” scale, these capabilities were challenged when used in the context of our data lake.


What we like?

MDG flexibility and development time (compared to home grown systems being replaced)

Information Steward’s user experience empowers users to drive more active governance and control of data quality

Mobility capabilities provided by MDG allows organization to drive processes out to the edge

Use of HANA as Enterprise Semantic Layer for our Enterprise Data initiative

SAP willingness to partner - SAP Development and Solutions Teams supporting newest technology


Recognition of the Implementation Team

JCI Leadership for providing the support and having the confidence to allow us to innovate.

JCI Team – Basis, Unity Technical Architecture, Data Architecture, Data Quality, Data Integration, Data Governance, and Unity Design-Build teams

SAP Services – MDG Architecture, Fiori, HANA implementation resources

DATUM – EIM Architecture, Strategy, MDG implementation resources

Data Migration Resources (DMR) – Information Steward/Data Services implementation and execution resources

accelerate performance with information governance

Data & Analytics

copyright johnson controls

ingesting data

master data

data quality

johnson controls products

various data sources

shared source of data

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