Join Albert for his presentation which will focus on key emerging trends in Business Intelligence (BI) and Analytics. He will identify ways in which an enterprise can organize capacities for successfully leveraging continually advancing tools and technologies in the Analytics space with the goal of developing and deploying optimal business value in the most effective and efficient manner. Lexmark International achieved operational excellence and order of magnitude efficiencies in reporting performance and user satisfaction by integrating data from various functional silos with disparate BI standards into SAP HANA (High Performance ANalytic Appliance) and then leveraging BusinessObjects BI 4.0 for meeting complex BI analytics, report development, and end-user requirements. N. Albert Khair is a Business Intelligence, Enterprise Architecture and Data Warehousing expert and has worked in Information Technology (IT) for more than 25 years and is currently employed by Lexmark International headquartered in Lexington, Kentucky. Albert’s work experience within the continental U.S. and abroad spans both public and private sectors, including government, insurance, consulting, airlines and high-tech electronics industries. Albert's functional areas of focus include: Oracle ERP, SAP ERP, SAP NetWeaver, SAP BusinessObjects BI4.0, Supply Chain, Finance, Sales and Distribution, SAP BW, SAP HANA/RDS. Albert has been published in Information Week, a magazine for business and technology managers, and has presented at SAP Insider and ASUG (Americas SAP Users Group) at their national and regional conferences.

1. 1 >
Emerging Trends in
Business Intelligence and
Analytics:
Organizing for Success
N. Albert Khair
Lexmark International
Cincinnati Business Intelligence Group (CBIG)

2. 2 >
What we will cover …
• Business Intelligence vs. Business Analytics
• The Lexmark Experience
• Implementing SAP HANA at Lexmark
• Organizing for Success
• Wrap-up

3. 3 >
Yogi Berra:
“If you don't know where you are going, any road will
take you there.”

4. 4 >
Business
Intelligence
vs.
Business Analytics

5. 5 >
Business Intelligence vs. Analytics
Business Intelligence Business Analytics

6. 6 >
Analytics Factory
◊
Data
(Databases, Files, Apps,
Documents, Sensors,
Email, Web, EDI, etc.)
Information
(Data Warehouses, Data
Marts, ETL, Search
Indexing, etc.)
Delivery
(Web, Mobile, Desktop,
Email, etc.)
Action
(Decisions, Plans,
Offers, Actions,
Updates, etc.)
Insights
(Alerts, Trends,
Patterns, Anomalies,
Exceptions, etc.)
Analysis
(Reports, Dashboards,
OLAP, Visualization,
Search, Analytics, etc.)
Data
People
People
Data
Information Processing Loop
Insight Processing Loop
People Process Technology

7. 7 >
BI / BA Analysis Tools and Techniques

8. 8 >
Operational Benefits from Investments
in Business Intelligence and Analytics
75%
60%
56%
55%
54%
50%
50%
47%
42%
36%
35%
27%
5%
6%
Improving the decision-making process (e.g. quality/relevancy)
Speeding up the decision-making process
Better align resources with strategies
Realizing cost efficiencies
Don’t know
Other
Sharing information with external users (e.g. customers and suppliers)
Maintaining regulatory compliance
Synchronizing financial and operational strategies
Producing a single, unified view of enterprise-wide information
Improving organization’s competitiveness
Responding to user needs for availability of data on a timely basis
Sharing information with a wider internal audience (e.g. casual users)
Increasing revenues
Source: Computerworld/SAS
Which of the following key benefits does your organization currently derive or would
expect to derive from business analytics software?

9. 9 >
The
Experience

10. 10 >
About Lexmark International
 Global company
 Focused provider of printing
and software solutions
 $3.8B 2012 revenue
Industry Coverage

11. 11 >
Analytics Bridges IT – Business “Dysfunctionality Gap”

12. 12 >
BI Maturity at Lexmark
Level 1
Nascent
Level 2
Immature
Level 3
Metrics-Lite
Level 4
BI-Biased
Level 5
Leveraged
Level 6
Entrenched
BI Maturity Continuum: The Albert Khair “NIMBLE-18” Model
No BI
Awareness
Widespread
Use of
Personal
Productivity
Tools
Disjointed
Data
Enclaves
Sporadic IT
Engagement
IT-Generated
Reports
Application
Silos with
Pockets of
Automation
Information
Incoherence
across
Enterprise
BI CoC
in Place
Limited Data
Centralization
and
Consolidation
Master Data
Awareness
BI Best
Practices and
Standards in
Place
BI Aligned
with
Business
Focus
Faster
Time to
Insight
Metrics &
KPIs Drive BI
Governance
Self-
Service
BI
BI COE
in Place
Enterprise
BI Drives all
Business
Initiatives &
Plans
©
Rudimentary
Awareness
of Metrics
LEXMARK

13. 13 >
Advance BI / BA Paradigm via Incremental Delivery
Revaluation
BI Initiative
Solution
Deployment
Change
Management
Business
Focus
Strategic
Alignment
Incremental
Value
Delivery
Paradigm
Target High-Value BI
Pain Points
Obtain
Business
Buy-in
Align with
Corporate
Objectives
Ensure Business
Readiness
Implement
Deliverables
Add Value via
Ongoing
Monitoring

14. 14 >
Unified IT Solutions Architecture at Lexmark
Data Source & Application Layer
Semantic & Enrichment Layer
Information Delivery & Presentation Layer
Governance & Collaboration Layer
Maturity & Best Practices Layer
Process&ActivityLayer
Strategy&RoadmapLayer
Organization (Roles & Responsibilities) Layer
SAP
ECC
SAP
SLT
Siebel Usage Orion LSP
External /
Unstructured
Data
SAP
BW
SAP
HANA
OBIEE
Teradata (TD) Enterprise mLDM
(a.k.a. CPDB)
Other
OBIABOBJ BEx
TD Warehouse
Miner
Other
(Portal, etc.)
Tools &
Technology
Governance
COE / CoC
Performance Mgmt.
Programs
Self-Service BI
Development &
Delivery
Subject Matter
Expertise (SME)
Development
Industry Standards
& Best Practices
BI Maturity – From
“Rows & Columns”
to Analytics
Systematize &
Promote the New
BI Paradigm
Enterprise KPI &
Metrics
Management
Mobility
Master Data Management (MDM) Layer

15. 15 >
Critical Drivers for Analytics Solutions Engine
LXK Business
PROBLEM
(To Resolve)
LXK Business
OPPORTUNITY
(To Leverage)
LXK I.T.
INITIATIVE
(To Add Value)
BusinessAlignment/
BusinessArchitecture
TechnicalAlignment/
TechnicalArchitecture
Reporting Perspectives / Time Horizons
Historical
Analysis
Realtime
Analysis
Snapshot
Analysis
Predictive
Analytics
Looking
backwards to
track trends
Monitoring
activity as it
happens
(OLTP, etc.)
Showing
performance at
a single point
in time
Using past
performance to
predict future
performance
Data Movement
Data Governance
Data Presentation
Cannonical /
WebMethods
Data Stage
Interface
Architecure SFTP
Business
Config. Mgmt
EDI / GXS AS2 VAN
Data Management & Storage
EDW /
Teradata
Group
Vendor
Mgmt
BI CoC
Business
Drivers
Partner
Mgmt
Data
Insight
Data
Quality
Data
Hygiene
Data
Profiling
Governance
& Control
Data
Integration
Data
Architecture
Data
Taxonomy
Data
Modeling
Data
Architecture
Physical
DBA
Logical
DBA
Governance
& Control
Enterprise
Data
Warehouse
Staging
Database
Enterprise
Data
Repository
Vendor
Mgmt
BI CoC
Partner
Mgmt
IT Arch
Group
Project
Mgmt
IT Acct
Mgmt
KPI
Management
Strategic
Use of BI
BI Dev. /
Governance
BI Best
Practices
BI Maturity
BO User
Support
BO Config
& Upgrade
BO Security &
Admin
BOBJ
Infrastructure
Support
SAP / Siebel
COE
BI Guidance
Management
Analytics
Operational
Analytics
Vendor
Mgmt
Project
Mgmt
DI CoC
Partner
Mgmt
Vendor
Mgmt
Project
Mgmt
MDM
CoC
Partner
Mgmt

16. 16 >
Analytics Solutions Governance Interaction
Business
SME
Analytics
Solutions
SME
Source System
Functional /
Configuration
SME
Required during
Scoping
Requirements
Functional Design
User Test
Sign-off
Required part-time during
Scoping
Requirements
Functional Design
Technical design
Integration test
Required throughout
the project lifecycle
“This is what can be
done in BI and
Analytics”
“This is what has been
configured in the
source system”
“This is the
requirement”

17. 17 >
SMEs Required in Analytics Solutions Projects
Corporate
Memory
Reports & Analytics Needs
Information
Technology
Business
Units
Data Stewards: Quality &
Integrity
Single Version of Truth
Better Decision Making
Infrastructure &
Applications
Data Governance &
Custody
Analytics Solutions
Group (ASG)
Manage BI
& Analytics
Change
Define BI &
Analytics Vision
Establish Best
Practices and
Standards
Develop
User Skills
Organizational
GovernanceManage
Methodology
Leadership

18. 18 >
Determining Analytics Return on Investment (ROI)
Visualization
Design Patterns
Data
Design Patterns
Metrics
Framework
What data is available?
What is the cost of acquiring new
data compared to the benefit to
the business?
Of all the possible metrics we can display, which
are the most critical to business?
Who are the audience and consumers of the
analytics being developed?
What are the visualization constraints?
What specific benefits will accrue from the
consumption of the analytics?
Can we actually develop what we
are designing in the time and with
the funds, resources and skillsets
we have available or have been
allocated?

19. 19 >
Analytics Solutions Operational Engagement Model
Executive Steering
Committe
Funtional
Working Group
Individual
Contrubutors
Analytics
Solutions Group
Seeks input
Manages issues and risks
Sets priorities
Implements policy
Consults to
governance body
Champions change
Provides input on
direction
Organizational
commitment
Allocates funding
Manages/accepts risks
Directs and ratifies
direction
Provides operational
support
Manages information
assets
Supports user community
Makes
recommendations
Manages operational
effectiveness
Directs strategy Champions change
Provides input
Champions change
Provides input
Sets policy
Sets priorities
Accepts risk
Sets direction
Reviews status
Reports ROI
Makes
recommendations
Operational status
Project pipeline
Mitigation of issues and risks
Management review
Reviews status
Makes recommendations

20. 20 >
Implementing
SAP HANA at

21. 21 >
Evolving Lexmark SAP BI Reporting Framework
SAP
(ECC, BPC, APO, etc.)
SAP BW
(v. 7.0)
SAP
(ECC, BPC, APO, etc.)
SAP BW
(v. 7.3)
HANA
Teradata
(EDW)
BEx Query
BEx Query BusinessObjects BI 4.0
SAP Portal / BI 4.0 LaunchpadSCPM
Prior SAP – BI Environment Projected SAP – BI Environment
Pre-July 2012 Mid 2012 Late 2012 – 2013
RDS / SLT / BODS
Crystal / ABAP

22. 22 >
What is SAP HANA In-Memory Technology?
HANA
Database
Technology
TREX
(Text Retrieval and
Extraction) Search
Engine
HANA Studio:
Suite of Tools
Data Modeling
HANA Appliance:
Partner* Certified
Hardware Delivery
Replication Tools
Data
Transformation
Tools
HANA Application
Cloud:
Cloud-based
Infrastructure
Existing SAP
applications
rewritten to run on
HANA
Low-cost
In-Memory Main
Memory (RAM)
Multi-core processors
providing multi-
engine query
processing
Rapid Data
Access via Solid-
State Drives
P*Time
(Menlo Park Transact in
Memory, Inc.) OLTP
RDBMS Technology
MaxDB
RDBMS from Nixdorf via
Software AG for
persistence & data
backup
Current Competitors
Microsoft Parallel Data
Warehouse (Microsoft)
Active Enterprise Data
Warehouse (Teradata)
Exadata Database Machine
(Oracle)
Exalytics In-Memory Machine
(Oracle)
Greenplum Data Computing
Appliance (EMC)
Netezza Data Warehouse
Appliance (IBM)
Vertica Analytics Platform
(HP)
Current
Hardware
Partners
Cisco
Dell
Fujitsu
Hitachi
Hewlett-
Packard (HP)
IBM
NEC
SAP HANA In-Memory Technology

23. 23 >
SAP HANA High-Level Architecture
Leverage SAP BOBJ BI
platform to extract data from
SAP HANA
SAP HANA Studio
Real-Time Data
Replication (SLT)
SAP BusinessObjects
Data Services (BODS)
Calculation and
Planning Engine
Row and Column
Storage
SAP HANA
SAP HANA Database
Other Data
Sources
Other Query
Tools / Products
SQL BICS SQL MDX
Use SLT and/or BODS to
extract, load and transform
data into SAP HANA
Obtain query results
in real-time
Empower SAP NW Business
Warehouse with SAP HANA
SAP Business
Suite
SAP NetWeaver
BW
SAP BusinessObjects
Tools / Products

24. 24 >
HANA Landscape Options
RDBMS RDBMS
SAP ERP SAP ERP
HANA 1.0
SP2
SAP NW
BW
Non-SAP
RDBMS
HANA1.0SP2HANA1.0SP3
RDBMS
SAP NW BW BWA SAP NW BW
HANA 1.0
SP3
SAP HANA 1.0 is an appliance-to-
appliance integration facility/tool/
platform (e.g. integrating with
SAP ECC)
Primary Benefit: Increase the
performance of transactional
reporting
SAP HANA 1.0 replicates/loads
data using replication/ETL tools
(e.g. SLT, BODS, etc.)
SAP HANA 1.0 SP3 is the primary
persistence for SAP NW BW7.3
SP5
All functionality of HANA 1.0 is
part of HANA 1.0 SP3
All features of SAP NW BW are
supported by SAP HANA 1.0 SP3

25. 25 >
SAP HANA System Landscape
Excel
SAP BusinessObjects
BI Clients
SAP
BusinessObjects
BI 4.0
SAP Business
Application
Repository
SQL
MDX
BICSSAP HANA Studio Admin.&Modeling
Authentication
Content Mgmt.
synch
Replication
Agent (SLT)
ERP 6.0
Database
Server
SAP HANA Engine
Replication
Agent (SLT)
JDBC ODBC ODBO SQL DBC
SAP HANA

26. 26 >
HANA Installation and BusinessObjects Integration
ECC
HANA
SLT
BO BI 4.0.X
Prod / Non-Prod
Dell R910
256Gb HANA Solution
Studio / Client Rev. 37
Prod / Non-Prod
Cisco UCS
77 ECC Tables
Replicated to date
(including FAGLL03)
Decide on a suitable installation type dependent on the existing
system landscape
Install the SAP LT Replication Server (SLT)
Configure connection between source system(s) - RFC
connection for SAP sources / DB connection for non-SAP
sources) - and the SLT system
Configure the target SAP HANA system with the SLT system
Setup data replication using the SAP HANA In-Memory studio
Integrate HANA Modeling Studio / Database with
BusinessObjects Enterprise (BOE) modules – infrastructure-to-
infrastructure setup
Report against HANA using BOE/BOBJ tools: Explorer,
Dashboard, WEB-I, Crystal, Analysis, etc.
Report against HANA using non-BOE productivity tools (e.g.
Visual Intelligence)
HANA SLT Installation &
BOBJ Integration:
EIGHT-Step Process

27. 27 >
How HANA SAP Landscape Transformation (SLT) Works
DB Trigger
Logging
Tables
Read
Modules
Application Tables
Source System
Application Tables
SLT System
(NW 7.02)
SAP HANA
System
WRITE
Modules
Controller
Modules
RFC
Connection
Database
Connection
 SLT component
is installed in a
separate system.
 This 3-tier
approach is
leveraged when
the source
system is not
compliant with
the required
technical
prerequisites of
SLT.
 For data
replication from
SAP sources, it is
recommended to
keep the
productive SLT
instance on a
SAP separate
system.

28. 28 >
Presenting SAP HANA Data Via BI4.0
BEx
Analyzer/
Voyager
(“Pioneer”)
BEx
Analyzer/
Voyager
(“Pioneer”)
Web
Intelligence
Web
Intelligence
ExplorerExplorerExplorer
Executive
LOB Management
Analysts
Crystal
Reports
Crystal
Reports
Static
XcelsiusXcelsius
SEARCH &
EXPLORATION
OLAP AD-HOC Query
& Reporting DASHBOARDS
ENTERPRISE
REPORTING
InteractivityDynamic
Low-Touch
Information Consumers
High-Touch
Information Experts
BEx
Analyzer/
Voyager
(“Pioneer”)
BEx
Analyzer/
Voyager
(“Pioneer”)
Web
Intelligence
Web
Intelligence
ExplorerExplorerExplorer
Executive
LOB Management
Analysts
Crystal
Reports
Crystal
Reports
Static
XcelsiusXcelsius
SEARCH &
EXPLORATION
OLAP AD-HOC Query
& Reporting DASHBOARDS
ENTERPRISE
REPORTING
InteractivityDynamic
Low-Touch
Information Consumers
High-Touch
Information Experts
© SAP AG 2009. All rights reserved. / Page 1
Business Warehouse AcceleratorBusiness Warehouse Accelerator
SAP BWSAP BW Non-SAP (Feb 2010)Non-SAP (Feb 2010)
Advanced
Analysis
New Capabilities
At Lexmark
Dashboard
BO Suite of
Tools
Application Tables
SAP HANA
System

29. 29 >
Organizing for
Success

30. 30 >
Analytics Solutions Governance Models
“Centralized” “Hybrid-Synergistic” “Autonomous”
Degree of Enterprise InfluenceHIGH LOW
BusinessInputLOWHIGH
BusinessInputLOWHIGH
Model Properties
Characteristics
Design
Authority
Business
Authority
Build
Implementation
Support &
Maintenance
Operations
Single design and build
team using highly
structured global templates
Single implementation
protocol using a common
system or frame of
reference
Governance templates are
tightly controlled/managed
Mandated synergies
Global design authority
maintains standards across
all geographies (NA, EMEA,
LAD, APG)
Multiple build and
implementation teams share
knowledge and resources
Coordinated (virtual) support
team è Lexington, Kolkata
Encourages synergies
Multiple and redundant
design, build and
implementation teams
Multiple design, build and
implementation templates
Little or no sharing of
knowledge or skills
Encourages diversity
Synergies are often non-
existent

31. 31 >
Analytics Governance Model: Current State at Lexmark
“Autonomous Development –
Centralized Deployment”
Model Properties
Design
Authority
Business
Authority
Build
Implementation
Support & Maintenance
Operations
This current Governance
structure at Lexmark is based
on a dichotomous
development-deployment
model: the development
authority vests almost
exclusively with the lines of
business (LOB) and only the
deployment aspects leverage
shared IT resources.
Characteristics
Functional and application-
specific design and build
teams
Tightly controlled design
and build templates
Little or no sharing of
knowledge or skills in
design/build phases
Global synergies at
deployment stages only
Development is tightly tied
to siloed business budgets
Almost complete business
ownership of applications

32. 32 >
Analytics Governance Models: “As-Is” vs. “To-Be”
Current BI Model “Hybrid-Synergistic”
BusinessInputLOWHIGH
BusinessInputLOWHIGH
Model Properties
Design
Authority
Business
Authority
Build
Implementation
Support &
Maintenance
Operations

33. 33 >
Applying the “Hybrid” Governance Model
“Hybrid-Synergistic”
Application:
Semi-autonomous and hybrid
Lines of business focus
Operational guidance
Highly leveraged shared processes and resources
Core design based on template(s)
Several-to-many installations
Generally enforceable common rules or guidelines
Some local flexibility
Characteristics:
Ideal for enterprises moving, or have moved, along the
journey to globalization by focusing on cross-divisional,
cross-functional and cross-regional synergies
Enterprises where lines of business (divisions, segments,
profit centers, sectors, etc.) have common products,
customers, vendors, processes, or they interact in the same
Supply Chain model(s)
IT budgets are used to encourage corporate business
agenda
Common issues encountered:
Who owns/drives the common agenda across divisions/
regions/etc.? (CFO, CIO, Business, IT?)
Constant oversight required to guard against divergence
and to push toward synergy
Are the synergies real, practical and repeatable ... or only
apparent, superficial and academic?

34. 34 >
Proposed Analytics Solutions Group (ASG) at Lexmark
Lexmark Proposed Solutions Architecture Ecosystem: Required Roles and Skillsets
Lexmark
BI – Analytics
CoC Executive
Business Unit
Support
EPM
Lead
Visualization
Architect
KPI Analyst
BI Program
Manager
BI Project
Manager
BI
Operations
Manager
Application
Security
Specialist
Business
Application
Owners
LOB
Operations
Analyst
BI Tool
Specialist
Business
Analyst
Data
Steward
Quality
Assurance
BI Applications
APP APP APP
Enterprise
Security
SAP Business
Objects
BI
Development
Roles
Siebel OLTP/ OBIEE
BI
Development
Roles
SAP BW / ECC /
HANA / BWA
BI
Development
Roles
Education
Lead
Training
&
Education
Education
Coordinator
Content
Specialist
Training
Specialist
OCM
Coordinator
Solutions
Architect
Lead
Information
Architect
BI / DW
DBA
Data
Analyst
Data
Integration
Specialist
Data
Modeler
Metadata /
Masterdata
Coordinator(s)
Data
Quality
Lead
LOB
LOB
LOB
LOB
LOB
LOB Sales & Mktg
Srvc & Support
Finance
Supply Chain
Dev & Mfg
Human Resources
???
Legend
Dedicated
Business / Corporate
Non-Dedicated
IT
Business
Hybrid (IT – Business)
PROTOTYPING
(e.g POCs)
Prototyping Projects
(e.g. POCs)
Data
Scientist
Data Mining
Specialist
Statistical
Modeler
Business
Architect
Technical
Architect
BI Advanced /
Predictive Analytics
BI Traditional
Solutions Track

35. 35 >
Executive Sponsorship: Two Alternatives
Director of
Analytics
CFOC – Suite
Director of
BI
CIO
Traditional
IT
Business
Analysis
Business
Functions
Business
Analysis
Business
Functions
Business
Analysis
Business
Functions
Sales Marketing Etc.
BI Role
BI Role
BI Roles
Analytics
Role
Analytics
Role
Analytics
Role
Director of
Analytics
CFOC – Suite
Director of
BI
CIO
Traditional
IT
Business
Analysis
Business
Functions
Business
Analysis
Business
Functions
Business
Analysis
Business
Functions
Sales Marketing Etc.
BI Role
BI Role
BI Roles
Analytics
Role
Analytics
Role
Analytics
Role
Option #1:
Lexmark Analytics
Solutions Group (ASG):
Headed by CFO
Option#2:
LexmarkAnalytics
SolutionsGroup(ASG):
HeadedbyCIO

36. 36 >
Your Turn!
How to contact me:
N. Albert Khair
nkhair@lexmark.com

37. 37 >
Got Paradigm Shift?