short presentation title analytics webinar 2… · analytics, performance management, reporting and...
TRANSCRIPT
Akash Mavle, Principal Consultant /CEO
PrimeNumerics M: 213-291-9884
PrimeNumerics Analytics
© 2013 PrimeNumerics 2
Attendee Profile
4 1
30
22130
51
411 2 1 2111 2 1
By Country
UK France India Spain
Australia Mexico USA Canada
Belgium Egypt Saudi Arabia Algeria
Peru Portugal Not Specified Japan
Netherlands Lithuania UAE Ecuador
1
79
22
1
30
1
12 10
17
1
By Designation
Accountant Analyst CEO
CFO CIO Consultant
Controller Corporate Controller Developer
Manager Recruitment Executive Not Specified
Mgr Financial Appls
© 2013 PrimeNumerics 3
Attendee Profile
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1 2
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By Locations
Atlanta Bangalore Barcelona Brisbane Brussels
Cairo Cary Chennai Chiclayo Colorado
Columbia Columbus Delhi Denver Detroit
Dubai Florida Ghaziabad Giza gurgaon
Hyderabad Indiadianapolis Karachi Lima Lisbon
London Madrid Melbourne Mexico City Mumbai
New Delhi New Jersey New York Noida Not Specified
Portland Pune Riyadh Sanfrancisco St Louis
St Petersburg Stamford Stoke Texas Toronto
Troyes Tunisia Utrecht Vancouver Washington DC
© 2013 PrimeNumerics 4
Agenda
• PN Introduction
• CFO Challenges, CFO – Reporting/Analytics
• Performance Management
• Case Studies
• Sample Work, Live walk through ( Analytics Library, Live Examples)
• SAP Hana
• Questions & Answers
© 2013 PrimeNumerics 5
PrimeNumerics Origin
• Strong team of business and functional
people. C-Level business value driven
consulting and implementations
• Deep expertise in
ERP, Reporting, Business Intelligence
and Analytics.
• Partnerships with SAS, SAP, Infor, IBM.
• Fortune 500 customer base.
• Akash
Mavle, BSEE, MBA, PhD(pending)
• 17 years global experience in Consulting
ERP, Analytics, DW
PRIMENUMERICS
(Analytics Driven Manufacturing, SAP/Infor, Bu
siness Intelligence)
SOLVERSA
(SAP/Infor/BI)
REPORTING
HOUSE
(Reporting,Analytics
© 2013 PrimeNumerics 6
PrimeNumerics History
• PrimeNumerics (www.primenumerics.com) is a division of Reporting House in collaboration with
Solversa.
• Reporting House Inc.(www.reportinghouse.com) is 18 year old company specialized in
Analytics, Performance Management, Reporting and Business Intelligence with offices in
NC, US and Pune, India
• Solversa Technologies (I) Pvt Ltd ( www.solversa.com ) is a 17 year old company specialized in
SAP, Baan/Infor consulting
• State-of-the-art owned office in Cary , North Carolina (US) and Pune (India)
• PrimeNumerics has more than 150 experts under single umbrella covering various areas like
ERP, Analytics, Business Intelligence
© 2013 PrimeNumerics 7
PrimeNumerics Partial Client List
© 2013 PrimeNumerics 8
Who are we?
Broadservices
Breadth
Narrowservices
Products/Solutions -led
(highly -repeatable solutions)
Consulting -led
(tailored professional services)
Offering
Technology Monoliths
Business Performance
Consultants
Private
EDSCSC HP
Enterprise Software Vendors Bain
McKinsey
BCG
Strategy Boutiques
Public
Booz -Allen
Accenture
CGE&Y
BearingPoint
IBM/PwC
Transaction -basedrelationships
Value -basedrelationships
© 2013 PrimeNumerics 9
Analytics
Predictive Analysis
Domain/.FunctionalPN Value
•Strong expertise in Analytics Products
•Strong IP led approach
•Consulting led projects
•Functional CFO/COO/CMO focus
•Intellectual Property spanning
Statistical models for business
situations
PrimeNumerics Differentiator – Economies of Skill
ERP
•Expertise in SAP, Oracle, Baan
•Consulting pool with decades of exp.
© 2013 PrimeNumerics 10
CFO Challenges/Opportunities
• Increased Responsbility on CFOs
• Pressure from compliance perspective
• Need to implement strong Performance Management systems
• Availability of lot of data/systems but little business insights
• All technology companies are talking about business insights but clear
raodmaps for implementation are missing
• CFOs need business value driven Analytics implementations
• CFOs are forced to do more with less, ERPs and other transaction systems are
matured, analytics systems are yet to mature
© 2013 PrimeNumerics 11
Extend your analytics capabilities where you want to be…
Sense & Respond Predict & Act
Raw
Data
Cleaned
Data
Standard
Reports
Ad Hoc
Reports &
OLAP
Generic
Predictive
Analytics
Predictive
Modeling
Optimization
What happened
Why did it happen?
What will happen?
What is the best that could
happen?
Com
petitive A
dvanta
ge
Analytics Maturity
The key is unlocking data to move decision making from sense & respond to predict & act
© 2013 PrimeNumerics 12
Analytics Continuum
Degree of Complexity
Co
mpe
titive A
dvan
tag
e
Standard Reporting
Ad hoc reporting
Query/drill down
Alerts
Forecasting
Simulation
Predictive modeling
Optimization
What exactly is the problem?
What will happen next if ?
What could happen … ?
What if these trends continue?
What actions are needed?
How many, how often, where?
What happened?
Stochastic Optimization
Based on: Competing on Analytics, Davenport and Harris, 2007
Descriptive
Prescriptive
Predictive
How can we achieve the best outcome?
How can we achieve the best outcome including the effects of variability?
14
Finance Function Makes a Difference
Driving Performance―68% anticipate serving as the performance
management experts for the rest of the company.‖
Source: CFO Research, Feb 2011
…Enterprise Rewards― World-class EPM organizations
deliver 2.4 times the equity market
returns of industry-peers companies.‖
Source: Hackett Group, 2012
…with Professional Upside―Corporate performance and CFO performance are
inextricably linked; CFOs that deliver shareholder value
are most likely to achieve the next career step they
desire.‖
Source: CFO Executive Board, Strategies
for Inflecting CFO
Performance, 2011
© 2013 PrimeNumerics 15
Extended role of CFOs Enterprise-Wide
Financial Management
Expense
Management
Revenue
Management
Long Term Asset Management
New significant
customer
New HeadcountCapital
Expenditures
Updated P&L Adjusted Budget
Customer
Profitability
Beyond
Finance
Inventory
Management
© 2013 PrimeNumerics 16
Finance
Product
Development
Operations
Human
Resources
Customer
Service
Marketing
Sales
Financial Consolidation and Scorecarding
Monitor strategy and report with confidence
Why?
How are we doing?
What should we be doing?
Financial Analytics and Reporting
Analyze and optimize performance
Enterprise PlanningPlan, forecast and control enterprise resources
Financial Performance Management – A Specialized View of
PM
Why?
What should
we be doing?
How are we
doing?
© 2013 PrimeNumerics 17
Integrated Performance Management ( IPM)
• Processes used to manage performance
– Budgeting and forecasting
– Financial close and consolidation
– Financial reporting
– Management and operational reporting
• Methodologies
– Executive level score carding
– Profitability and cost management
– Other approaches to tracking and
improving business performance
• Metrics to monitor and analyze
performance against goals
• Tools to capture and sustain performance
Reward
Results
Monitor
Individual
Results
Reporting
(Financial &
Operational)
Forecasting
Budgeting
Business
Planning
Strategic
Planning
Analysis
Performance
Measurement
Shareholder
Value
© 2013 PrimeNumerics 18
IPM With Enterprise Value Map
VolumePrice
Realization
Operating MarginRevenue Growth Asset Efficiency Expectations
• Acquire new
customers
• Retain and
grow existing
customers
• Leverage
income
generating
assets
• Optimize
Pricing
Analytics
• Improve
Demand/
Supply Mgmt
• Improve
Product &
Service Info
SG&A
• Improve
Financial
Information
Delivery
• Streamline
Infrastructure
Processes
• Improve
breadth, depth
& quality of
Financial Info
PP&E Efficiency
Working Capital
• Improve IT
Mgmt
• Improve
Enterprise
Data Mgmt
• Improve
Non-IT
PP&E
Tracking
• Improve
Payables
• Decrease
Receivables
• Optimize
Inventory
Governance Effective-
ness
• Ensure
Regulatory
Compliance
• Improve
Internal
Controls Mgmt
• Improve
Managerial
Effectiveness
External Factors /Investor
Trust
• Improve
shareholder &
analyst
commun-
ications
• Communicate
company &
mgmt. quality
with timely
financial
information
COGS
• Rationalize
product and
service portfolios
• Improve demand
forecasting
process
• Improve capacity
planning process
Mgmt. Effective-
ness
• Improve
Measurement
of Financial
Performance
• Improve
Analysis of
Managerial
Information
• Improve
Performance
Mgmt
• Planning/budgeting
• Monitoring/analytics
• Operational decision-
making
• Standardization of data
•Customer information
•Competitive information
•Forward looking
information
•Standardization of data
• Standardize analytic
tools and applications
• Consolidate data and
financial information
• Standardization of data
• Decrease liability exposure for CXOs
• Controls over quality of data
• Monitoring and analytics
• Communication between board,
management, shareholders and public
• Internal controls and compliance
Shareholder Value
Marketing &Sales
AccountManagement
Cross-Sell /Up-Sell
Retention
Demand &Supply
Management
PriceOptimization
Marketing &Advertising
Sales
CustomerService &Support
OrderFulfillment &
Billing
IT, Telecom &Networking
Real Estate
HumanResources
Procurement(Excluding Production
Materials &Merchandise)
BusinessManagement
FinancialManagement
Materials
Production
Merchandising
Logistics &Distribution
ProductDevelopment
Real Estate &Infrastructure
Equipment &Systems
Finished Goods
Work inProcess &
Raw Materials
Accounts, Notes& InterestReceivable
Accounts, Notes& InterestPayable
BusinessPlanning
ProgramDelivery
BusinessPerformanceManagement
OperationalExcellence
Partnership &Collaboration
RelationshipStrength
Agility &Flexibility
Product &Service
Innovation
ServiceDelivery
Cash / AssetManagement
ImproveExecution
Capabilities
ImproveManagerial &GovernanceEffectiveness
ImproveReceivables &
PayablesEfficiency
ImproveInventoryEfficiency
ImprovePP&E
Efficiency
ImproveLogistics &
Service ProvisionEfficiency
ImproveDevelopment &
ProductionEfficiency
ImproveCorporate/
Shared ServiceEfficiency
ImproveCustomerInteractionEfficiency
StrengthenPricing
LeverageIncome-
GeneratingAssets
Retain andGrow Current
Customers
Acquire NewCustomers
Volume PriceRealization
Selling,General &
Administrative(SG&A)
Cost of GoodsSold
(COGS)
Property, Plant& Equipment
(PP&E)Inventory Receivables
& PayablesCompanyStrengths
ExternalFactors
Revenue Growth Operating Margin(after taxes)
Asset Efficiency Expectations
Product &Service
Innovation
© 2004 All rights reserved. Confidential. 0104
D e l o i t t e E n t e r p r i s e V a l u e M a p TM
C o n d e n s e d V e r s i o n
Income Taxes
ImproveIncome Tax
Efficiency
Income TaxManagement
Governance
© 2013 PrimeNumerics 19
We have aligned our offerings and capabilities to
address the full breath of business requirements
BI & PMAddresses both the technical and process dimensions of improving information usage across the enterprise. This includes Corporate Performance Management, Operational BI and Predictive Analytics.
© 2013 PrimeNumerics 20
Accounts Receivable Analytics
AR analytics enables analysis related to:
AR Invoice Aging
AR Customer Receipts
Scheduled Payments
Recognized Revenue
© 2013 PrimeNumerics 21
Accounts Receivable Analytics
AR analytics can help find answers of the following:
What is the distribution of past due customer invoice amounts by customer and number of
days the payment is late?
What is the revenue distribution by customer for each month over the last year?
How frequently do customers submit payments for past due balances?
What is the distribution of customer revenue across each sales territory?
Which customers are utilizing discounts frequently, and is this a trend within specific sales
regions?
© 2013 PrimeNumerics 22
Accounts Payable Analytics
AP Analytics allows finance to gain better control over cash outflow and vendor relationships.
Report on the status of payables—forecast cash outflow based on existing invoices.
Analyze vendor relationships—examine history of relationships with vendors and identify
trends and patterns.
Adapt to changing business conditions—modify reports quickly and add new content to
reflect changing business requirements.
© 2013 PrimeNumerics 23
PrimeNumerics Manufacturing Excellence ModelInitiatives Level1 Level2 Level3 Level4 Level5
Shop Factory/Plant Company Enterprise Optimized Enterprise
Management Initiatives/Programs Not observable
Quality Management Systems
Industrial engineering iniiatives, ISO, Environmental Initiatives
JIT, KanBan, TPM, TPS, TQM under implementation
CSR, Environmental Sustainability initiatives, Six. Sigma, JIT, Kanban, TPM, TPS, TQM optimized, Enterprise wide management iniatives umbrella implemented and followed in all entities, e.g.Honeywell Operating Systems, or GE Business Excellence Model
Marketing Initiatives Not observable Sales Offices
Sales and Markekting Departments and Offices
Global Sales and Marketing Setup Optimized Sales, Marketing intiatives
Performance Measurement Not observable
Performance Measurement at Finance/Financial Accounting level
PM framework loosly defined and followed
Performance Measurement framework designed, system implemented and followed
Performance Measurement framework is part of standard management process and highly optimized
HR Programs/Activities Not observable
Single Command, Personnel Department established
Distributed Control and Delegation, HR Department and processes defined, HR, Supervisory Trainings Established
HR processes followed, Assessment Center HR Systems, processes optimized
Manufacturing Initiatives Not observable
Production Department Established, Plant Layout, Worker/Labour rules and policies, Supervisors
Manufacturing initiatives like Plant Layout, Worker Policies, Attedance Systems
MES, Kanban, Lean, Theory Of Constraints, Single Piece Flow, FMS, FMEA, RCA, QFD, DOE implemented
MES, Environmental Sustaianable Manufacturing, Design for Manufacturability, Kanban, Lean, Theory Of Constraints, Single Piece Flow, FMS, FMEA, RCA, QFD, DOE Optimized
Company StructureEntrepreneural EntrepreneurialEntrepreneurial and delegative, processes driven
Process driven, Matrix structure, SBU and Divisional Structure
Highly systems and Process driven scalable structure
Process Orientation Not observable
Processed Followed, not defined formally
Process followed and defined formally High process orientation Highly optimized and adaptable processes
System OrientationNot observableCustomized/home grown systems Small ERP Implemented Global ERP implemented Global ERP implemented and optimized
Market Presence Single Geography Exports to few countries Exports to multiple Countries
Plants/Factories in multiple countries, legal entities in multiple countries
Plants/Factories and legal entities in multiple countries
© 2013 PrimeNumerics 24
Business Analytics and Optimization
BAO Strategy
Business
Intelligence &
Performance
Management
Advanced Analytics
and Optimization
Enterprise
Information
Management
Enterprise
Content
Management
• Identify and
prioritize
opportunities for
improvement
• Change business
processes and
operations to
exploit analytics
• Implement
management
systems to
maintain control
and achieve
goals
• Report outcomes
of business
processes and
programs
• Automate
management
dashboards and
scorecards
• Create planning,
Budgeting, &
Forecasting tools
• Apply advanced
statistical and
regression
analysis upon
historical data for
predictive
decision-making
• Integrate
optimization
algorithms and
technology into
operations
• Ensure robust
and trusted data
is available when
needed and is
easy to consume
• Provide a
consolidated and
efficient
information
platform to
support
optimization
initiatives
• Manage document
& records,
including archives
• Manage structured
and unstructured
content
• Manage digital
assets & rights
• Provide efficiency
and transparency
to complicated
workflows
© 2013 PrimeNumerics 25
Financial Planning Process
What it is Primary Use Horizon/Frequency Who is Involved
Strategic Plan: A disciplined effort to define fundamental decisions and actions that shape and guide an organizations future addressing what the organization is, what it does, and why it does it
Define vision, SWOT, high level corporate goals and objectives and strategies for how to attain them
Horizon: 3-5, sometimes 10 years
Frequency: 1/year
• Corporate Execs• Senior Mgmt. • Strategy• Finance
Budget/ Annual Operating Plan:Projection of revenues, expenses and cash for a specified period of time. (1st year of SP). Identifies targets, at the line of business, functional or cost center level
Financial guide for the current year: control expenses, evaluate performance and determine bonus compensation
Horizon: 1 year, across months, Qtrs, weeks
Frequency: 1/year Infrequently updated
• Corporate Planning • Line of Business
Managers • Cost Center managers
Forecast: A period by period projection of either revenue or expense that considers actuals to date and any changes to market conditions
Provides the most current estimates for the balance of the year/horizon
Horizon: Balance of the year or Rolling week, month, quarter, Annual.
Frequency: Refreshed often
• Corporate Planning • Line of Business
Managers
Modeling: Process of developing models that characterize an organization allowing it to evaluate the impact of decisions to understand fully the financial impact
• What-If Analysis• Acquisition modeling• Scenario Analysis• Define contingency plans
• Ad-hoc • Corporate Planning • Strategy• Sales/HR/IT
Reporting: Collection, analysis, summarization and presentation of the financial performance of the business
• Comparison with actual• Cause & effect Analysis
Horizon: Various Frequency: Monthly, Qtrly, Annual, Ad-hoc
• Corporate Planning• Reviewed at all levels
© 2013 PrimeNumerics 26
Identify Areas
/problems
Strong focus on CFOs, and other C-level executives
Business Problem based approach to consulting
Generate Business case, value proposition and ROI measures
Select from
Models
PrimeNumerics has extensive library of Dashboards, Analytical Models, What-if Analysis and Statistical models for various business situations
During this phase PrimeNumerics consultants share their experience and matching of possible models is done.
Pilot
Very narrow scope for Analysis is identified to arrive at quick time to market for the improvements.
Initial solution is blueprinted and implementation starts
Business Value is delivered
Full scale
implementation
More business situations/challenges are found and solution is blurprinted.
Project Go-live and Value delivered.
PrimeNumerics Consulting Approach
© 2013 PrimeNumerics 27
PrimeNumerics Analytics Implementation Approach
Phase 1:Establish Baseline and Size Opportunities
Phase 3:
Implement
Action Plans
Phase 2:Define Improvement Recommendations
and Develop High-level Action Plans
Baseline Cost Model
Quantified Savings and
Costs
Performance Mgmt, Metrics
& Tools
High-level Action Plans for
Key AreasRecommendations for Prioritised
Opportunities
Service Delivery Model
Analysis
$98.2
$22.0
$1.2$5.3
$4.2$0.9$2.1
$10.0
$3.9$27.0
$24.0
$-
$25
$50
$75
$100
Equip Relo c Severance Infrastructure Upgrades Ramp-Up Travel FG M oves Other Contingencies Outso urc ing Total
Financial Performance Operational Performance
Strategic Initiative Dashboard
10%
25%
0%
15%
5%
10%
Percent
Complete
Food Ingredients North America
Food Ingredients Latin America
Food Ingredients Europe
CommentsTwo Weeks
Previous
Previous
Week
Current Week
Project Status
E-Business
Fertilizer/Salt
Ag Producer Services
Project
10%
25%
0%
15%
5%
10%
Percent
Complete
Food Ingredients North America
Food Ingredients Latin America
Food Ingredients Europe
CommentsTwo Weeks
Previous
Previous
Week
Current Week
Project Status
E-Business
Fertilizer/Salt
Ag Producer Services
Project
Ventures
$98.2
$22.0
$1.2$5.3
$4.2$0.9$2.1
$10.0
$3.9$27.0
$24.0
$-
$25
$50
$75
$100
Equip Relo c Severance Infrastructure Upgrades Ramp-Up Travel FG M oves Other Contingencies Outso urc ing Total
Financial Performance Operational Performance
Strategic Initiative Dashboard
10%
25%
0%
15%
5%
10%
Percent
Complete
Food Ingredients North America
Food Ingredients Latin America
Food Ingredients Europe
CommentsTwo Weeks
Previous
Previous
Week
Current Week
Project Status
E-Business
Fertilizer/Salt
Ag Producer Services
Project
10%
25%
0%
15%
5%
10%
Percent
Complete
Food Ingredients North America
Food Ingredients Latin America
Food Ingredients Europe
CommentsTwo Weeks
Previous
Previous
Week
Current Week
Project Status
E-Business
Fertilizer/Salt
Ag Producer Services
Project
Ventures
10%
25%
0%
15%
5%
10%
Percent
Complete
Food Ingredients North America
Food Ingredients Latin America
Food Ingredients Europe
CommentsTwo Weeks
Previous
Previous
Week
Current Week
Project Status
E-Business
Fertilizer/Salt
Ag Producer Services
Project
10%
25%
0%
15%
5%
10%
Percent
Complete
Food Ingredients North America
Food Ingredients Latin America
Food Ingredients Europe
CommentsTwo Weeks
Previous
Previous
Week
Current Week
Project Status
E-Business
Fertilizer/Salt
Ag Producer Services
Project
Ventures
(60.0)
(40.0)
(20.0)
0.0
20.0
40.0
60.0
80.0
100.0
2002 2003 2004 2005 2006 2007 2008
Year
Dis
co
un
ted
Do
llars
($M
)
Net Cash Flows Discounted Cash Flows Cumulative Discounted Cash Flows
Benchmarking
Confirmed Change
Management Plan
Think Out of the Bottle Team
Overall Status: [Insert one of the stoplights below]
On track to meet deadline Behind schedule Cannot meet deadline
Status of Milestones: Milestone Due Date Status (G,Y,R)
Finalize and confirm data 11/9 G
List of sku’s/brands/ categories to eliminate 12/4 G
Exit strategy 12/4 Y/G
Communication Plan 12/4 G
Period Highlights: Accomplishments Status
(Not Started, In Process, Complete)
Reviewed 1600 SKU list and began developing final recommendations Complete
Developed list of elimination recommendations that may be controversial Complete
Determined overlap between brand and SKU eliminations Complete
Began developing recommendations of brands to be eliminated by division In Process
Activities Planned: 11/27/2006 – 12/1/2006
Finalize SKU elimination recommendations
Develop exit strategy
Develop salon communication
Develop final deliverable to present findings
Major Obstacles / Issues: Description Resolution
Owner Resolution Target Date
FYI…Timing! Because of the holiday, we are under a significant time crunch. We still plan to meet our milestone date, but foresee possible deadline challenges
N/A N/A
G
Y R
Executive Dashboard
Project Name: LTS Vice President:
Project Number: LTS Director:
Project Manager: Project Sponsor:
Primary Business Unit: BRE:
Issue Log
Issue Priority
Issue No.
Request Date
Requestor Status Due/CloseDate
Issue Description Issue Owner Current Activity or Resolution
1.
2.
3.
4.
5.
6.
7.
8.
Status Categories
New – New issue that has become known within the last week.
Analysis – Assigned owner is analyzing and resolving the issue.
More details needed – Owner does not have sufficient information to complete analysis. More details are needed from the requestor.
Complete – Owner has completed and closed the issue.
Savings Tracker
Opportunity Assessment
Prioritised Opportunities
= Size of Saving (.25 inch diameter = $1M)= Estimated Size of Savings
Opportunities
Implementation Complexity / Risk
High
Low
Easy Difficult
6
Tier 1
($8.1 – $11.7M)
Cost Reduction Opportunities –Updated as of 7/5/2006
1
Tier 3
TBD
Va
lue 2
3
8
9
7
= Opportunities not yet quantified
4
5
Short To Mid-term Opportunities
1 – Establish Segment Controller functions and rationalize
General Accounting headcount
2 – Span of Control Rationalization
3 – Consolidate Business Partner activities supporting low
materiality items
4 – Consolidate / rationalize Financial Systems staff levels
across the Enterprise
5 – Consolidate COE / Shared Service activities across the
enterprise (Payroll / AP/ Billing)
6 – Relocate transactional activities to lower cost of labor
geographies
7 – Rationalize Corporate Treasury headcount
Long Term Opportunities
8 – Establish an FDI EMEA regional shared services center
for transactional finance activities in low cost European
location
9 – Convert disparity of International systems to common
technology platforms
10 – Rationalize number of billing systems and headcount
11 –Establish a COE General Accounting function and
rationalize enterprise General Accounting headcount
12 –Reduce external auditor fees through centralization /
simplification of organizational structure
Tier 2
($4.1M - $9.3M)
10
11
12
= Size of Saving (.25 inch diameter = $1M)= Estimated Size of Savings
OpportunitiesOpportunities
Implementation Complexity / Risk
High
Low
Easy Difficult
6
Tier 1
($8.1 – $11.7M)
Cost Reduction Opportunities –Updated as of 7/5/2006
1
Tier 3
TBD
Va
lue 2
3
8
9
7
= Opportunities not yet quantified
4
5
Short To Mid-term Opportunities
1 – Establish Segment Controller functions and rationalize
General Accounting headcount
2 – Span of Control Rationalization
3 – Consolidate Business Partner activities supporting low
materiality items
4 – Consolidate / rationalize Financial Systems staff levels
across the Enterprise
5 – Consolidate COE / Shared Service activities across the
enterprise (Payroll / AP/ Billing)
6 – Relocate transactional activities to lower cost of labor
geographies
7 – Rationalize Corporate Treasury headcount
Long Term Opportunities
8 – Establish an FDI EMEA regional shared services center
for transactional finance activities in low cost European
location
9 – Convert disparity of International systems to common
technology platforms
10 – Rationalize number of billing systems and headcount
11 –Establish a COE General Accounting function and
rationalize enterprise General Accounting headcount
12 –Reduce external auditor fees through centralization /
simplification of organizational structure
Tier 2
($4.1M - $9.3M)
10
11
12
Detailed Implementation
Action Plans
Im
med
iate
Im
pro
vem
en
t O
pp
ortu
nit
ies
Pro
ject
Lau
nch
Wo
rksh
op
Op
po
rtu
nit
y G
ati
ng
Pro
cess
Phase 1 Phase 2 Phase 3
- Baseline observations
- Service delivery model observations
- Benchmarking (internal / external)
- Immediate cost savings opportunities
- Customer retention & pipeline management
- Opportunity assessment
- Opportunity prioritisation
- Launch quick win opportunities (“no regrets”)
- Anticipated benefits and costs to achieve
- Resource requirements
- Change management and stakeholder alignment plans
- Detailed action plans for implementation
Key
Ou
tpu
t
© 2013 PrimeNumerics 2929
Levels of Models Models
PrimeNumerics Consulting Positioning/Components
Board of
Directors
CXOs
Functional
Managers
Operational Level
Dashboards,, Scorecards, What-
if Analysis, Scenario Building
Reports
Dashboards, Scorecards, What-If
Analysis, Simulators), Alerts,
Exceptions
OLAP, Analysis, Statistical Models
© 2013 PrimeNumerics 30
REPORTING AND ANALYTICS
Financial Reporting and Analytics Analyze and optimize performance
Sales Pipeline Analytics
Campaign Effectiveness
Product Profitability
Customer Satisfaction
Customer Profitability
Profitability Analysis
Revenue Analysis
What – if’s / Scenario Analytics
New Product Introduction
Product Segmentation
Production Analytics
Capacity Analytics
Compensation Analytics
Workforce Analytics
Sales and Channel Mix
Service Level &
Capacity AnalyticsFinancial Reporting
CustomerService
Sales MarketingHuman
ResourcesProduct
DevelopmentOperations
IT/Systems
Finance
© 2013 PrimeNumerics 31
Financial Management and Control Report to external stakeholders with confidence
AggregateAdjust
AnalyzeReport
Financial Consolidation &
Reporting Solutions
Statutory and Management
Reporting
CLOSE CONSOLIDATE REPORT
Financial
Management and
Control solutions
provide the
systems, process and
directives for the
control, management
and accounting of
financial resources
MEASURING AND MONITORING
CustomerService
Sales MarketingHuman
ResourcesProduct
DevelopmentOperations
IT/Systems
Finance
© 2013 PrimeNumerics 32
Optimizing the Financial Close Process
Close sub ledgers into GL (AR, AP, FA, etc.)
Perform Reconciliations and Post Accruals
Deliver self service financial reporting to the organization
Create external reports with disclosures and financial data
Automate and deliver external & statutory filings
Gather and validate complete data sets to support all financial reporting needs
Automate consolidated financial reports leveraging multiple hierarchies and calculations
Sub Ledger CloseGeneral Ledger
CloseData
AssuranceConsolidation
Internal Management
Reporting
External Financial Reporting
Filing
© 2013 PrimeNumerics 33
Some of our work
© 2013 PrimeNumerics 34
Emerson: Tax Reconciliation
Business Challenges
Indirect taxation had big issues in reconciliation
Taxes paid across products and divisions
Few GL Accounts ( intermediate tax accounts) had money accumulation which was not
traceable in the Financial System
Technical Challenges
Oracle E-business creates specific tables in every country for the tax definitions
Creation of Data warehouse specific for taxation information
Benefits
Real-time insights into taxation information
Reduce risk of Tax Compliance
Faster insights into the Indirect Taxation Data
30000 plus taxation
transaction in a month
90 % reduction in
lost taxation/doubtful
taxation transactions
Interactive data
analysis leading to
improved tax
reconciliation
© 2013 PrimeNumerics 35
Xstrata-GlencoreLargest Nickel Mining Company in the world
Business Challenges
Plants in Canada faced lot of issues of keeping Plant uptime, MTBF, MTTR and Overall
Equipment Efficiency (OEE)
Difficult to make decisions on Backlog Orders in the Maintenance Department
Longer cycle to improve the critical measures like Statutory Compliance, Plant
Maintenance Efficiency, Order Backlog and delays in Scheduling Maintenance Orders
Technical Implementation
SAP ECC 6.0, SAP BW 7.3, BusinessObjects
Benefits
Improved Plant Utilization and better understanding about OEE( Overall Equipment
Efficiency)
Reduced budget for monthly maintenance in terms of external contractors
Better visibility into Maintenance Scheduling
10xFaster correction action
on backlog orders and
improved OEE
8% reduction in the
maintenance service
budget per month
© 2013 PrimeNumerics 36
BAGLA Automotive GroupAutomotive Tier 1 company with 12 plants spread globally
Business Challenges
Challenges in arriving at exact Inventory Valuation month on month
Desire to have better control over moving assets like Dies/Castings/Jigs across customer
locations to supplier locations
Cost reduction in supply chain
Metal loss control in foundry
Technical Environment
SAP ECC 6.0, BW, BOBJ
Benefits
Finer control on Metal Loss in the foundry
Better visibility of asset movement across supply chain
Streamlined Master Data Management
Improvement in cost control and management of Inventory
10-15xImprovement in asset
tracking and inventory
valuation and metal loss
calculations
20x faster reports
and OLAP generation
© 2013 PrimeNumerics 37
Predictive Analytics with SAP HANATransforming the Future with Insight Today
Unleash the value of Big Data through the
power of SAP HANA
• Employ in-database predictive algorithms
• Access 3,500+ open-source algorithms via R
integration for SAP HANA
Intuitively design and visualize complex
predictive models
• SAP Predictive Analysis software
Bring predictive insight to everyone in the
business
• Embed within business applications
• Extend into BI and reports
• Insight into events instantly delivered to
dashboards, alerts, and mobile devices
© 2013 PrimeNumerics 38
Customer Revenue Performance
ManagementAccount Intelligence Predictive Customer Segmentation
HANA Predictive Applications
© 2013 PrimeNumerics 39
Step1
Data Loading
Step 2
Data Preparation
Step 3
Data Processing
Step 4
Data Visualization and
Sharing
Data Loading
1. Understand the business and
identify issues
2. Load the SAP and non-SAP data
into SAP HANA or other source
Data Preparation
1. Visualize and examine the
data
2. Sample, filter, merge, appen
d, apply formulas
Data Processing
1. Define the model via clustering ,
classification, association, time
series, etc.
2. Run the model
Data Visualization and
Sharing
1. Visualize the model for
better understanding
2. Store the model and result
back to SAP HANA
3. Share results via PMML
and with other BI client
tools
SAP Predictive Analysis
© 2013 PrimeNumerics 40
Visualize, discover, and share hidden insights
Advanced visualization designed where you’d expect it – natively from within the modelling tool
Share insights via PMML and with other BI client tools
SAP Predictive Analysis
© 2013 PrimeNumerics 41
SAP HANA In-Memory Predictive Analytics Predictive Analysis Library (PAL) - Algorithms Supported
Association Analysis Apriori
Apriori Lite
Cluster Analysis K-Means
Kohonen Self Organized Maps
Classification Analysis C4.5 Decision Tree Analysis
CHAID Decision Tree Analysis
K Nearest Neighbour
Multiple Linear Regression
Polynomial Regression
Exponential Regression
Bi-Variate Geometric Regression
Bi-Variate Logarithmic Regression
Logistic Regression
Time Series Analysis Single Exponential Smoothing
Double Exponential Smoothing
Triple Exponential Smoothing
Outlier Detection Inter-Quartile Range Test (Tukey’s Test)
Variance Test
Anomaly Detection
Data Preparation Sampling
Binning
Scaling
Other ABC Classification
Weighted Scores Table
© 2013 PrimeNumerics
Akash S Mavle, BSEE, MBA, PhD(exp.)
www.primenumerics.com
213-291-9884
© 2013 PrimeNumerics 43
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