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Use BI to Beat the Competition
Special Guest Speaker:
Jan de Jong
Board Member of the National Retail Foundation
Agenda
• Key Challenges in Retail Organizations
• How BI can Solve them
• Usage Scenario: Baltika Breweries
• Demo
• Q & A
Retail:
Key Challenges
Challenge #1
Real-Time Operations Management
• Retail has the highest turnover rate and the lowest margin in
comparison to other industries
• First industry to react to changes in consumer needs and
behavior
• Geographically-spread distribution network
Challenge #2
Vast amounts of Data reside in different places
• Retail organizations tend to
operate huge amounts of Data :
100 TB and more
• Different IT systems are used for
that Data to be managed in
various departments and/or
geographical locations
Challenge #3
No consistent view on data
throughout the organization
Solution
Provide real-time visibility into corporate
performance through self-service Business
Intelligence
Business Intelligence can give insight into:
• Customer Intelligence
Identify, acquire, activate, serve and retain profitable customers
• Merchandise Intelligence
Drive revenue, protect margins and earn customer loyalty
• Operations Intelligence
Intelligent use of working capital and operating expenses to
effectively manage inventory
• Performance Management
Analyze, forecast and maximize profits by monitoring cost and
performance of multiple business units
Marketing/MM
Store Manager Sales Assoc. Customer
Business Scenarios - Retail
• Store Profitability
• Sales Performance
• Stock Control
• Loss Prevention
• Task Management
• Customer Insight
• Sales and Service
Performance
• Profitability
• Loyalty and
persistency
• Market basket analysis
• Campaign results
• Assortment Planning
• Demand planning
Supply Chain
• Inventory optimization
• Out-of stock
prevention
CFO/CEO
• Financial Reporting
• Business KPIs
• Strategy & Planning
Panorama NovaView for Retail
Panorama NovaView
Self-service BI suite
• Powerful yet easy-to-use Analytics & Reporting
for business users
• Real-time operations control ability
• On-top of any data source
• Unified BI solution that creates consistent
enterprise view on the data using unique for the
entire organization metrics
Intuitive & Interactive
Panorama NovaView BI Suite
Analytics Reporting Dashboards
KPI’s Visualization
(i.e. treemaps)
Office Integration
Universal Data Connector
• Instantly connect to any data
source with no IT involvement
(Self-Service)
• Automatically transform dull data
into interactive and live insights
• Benefit from the unified platform,
management and security
Panorama NovaView 6.2 Architecture
NovaView Server
- Business Logic
- Unified Data Security Model
Analysis Services Universal Data Connector
and / or
MS SQL SAP Oracle Flat Files Applications Web Services
PowerPivot
and / or
Source,
operational
raw data
Modeling,
aggregations,
semantics
Intelligence
Layer
End User
Client
Smart ReportingMS Office ClientsSpotlightDashboardsAnalytics
Demonstration
Usage Scenario:
Baltika Breweries
Background:
• Second largest brewery in Europe
• Recently merged with several other breweries
• Revenues of €2 Billion
• Doing business in 60 countries
• Working with over 100 terabytes of data
Challenge:
To build a unified BI infrastructure to support and lead their
market expansion after the merger, integrating different IT
structures of 12 breweries, managing over 10,000
employees, 350,000 points of sale and a massive logistics
network.
Usage Scenario:
Baltika Breweries
Solution:
• Baltika integrated Microsoft SQL Server Analysis Services for:
• Its complete BI platform (from OLAP to Reporting and ETL)
• Best total cost of ownership
• Baltika extended Microsoft platform with Panorama NovaView for:
• Self-service and ease of use for the business users
• Light web-based environment
• Rich data visualization
• Tight integration with MS BI stack
Usage Scenario:
Baltika Breweries
Benefits:
• Consistent view on data throughout the organization
• Improved collaboration between the diverse logistics groups
• Self-service access to data for managers across the company to
improve efficiency and agility
• Reporting time takes minutes instead of days
Future Plans:
• Expanding Panorama NovaView + Microsoft
BI platform into marketing, manufacturing,
sales and supply-chain management
Usage Scenario:
Baltika Breweries
About Panorama Software
• 15 years of experience in Business Intelligence
• Original developer of Microsoft Analysis Services and MDX
• Long standing partnerships with Microsoft, SAP and Google
• Over 1,500 customers worldwide
• Get in touch with us:
kseniyas@panorama.com
• Follow us on Twitter:
http://twitter.com/PanoramaSW
• Panorama Software on LinkedIn:
http://www.linkedin.com/company/13163
• Panorama blog:
www.panorama.com/blog
Q & A

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Use BI to Beat the Competition

  • 1. Use BI to Beat the Competition Special Guest Speaker: Jan de Jong Board Member of the National Retail Foundation
  • 2. Agenda • Key Challenges in Retail Organizations • How BI can Solve them • Usage Scenario: Baltika Breweries • Demo • Q & A
  • 4. Challenge #1 Real-Time Operations Management • Retail has the highest turnover rate and the lowest margin in comparison to other industries • First industry to react to changes in consumer needs and behavior • Geographically-spread distribution network
  • 5. Challenge #2 Vast amounts of Data reside in different places • Retail organizations tend to operate huge amounts of Data : 100 TB and more • Different IT systems are used for that Data to be managed in various departments and/or geographical locations
  • 6. Challenge #3 No consistent view on data throughout the organization
  • 7. Solution Provide real-time visibility into corporate performance through self-service Business Intelligence
  • 8. Business Intelligence can give insight into: • Customer Intelligence Identify, acquire, activate, serve and retain profitable customers • Merchandise Intelligence Drive revenue, protect margins and earn customer loyalty • Operations Intelligence Intelligent use of working capital and operating expenses to effectively manage inventory • Performance Management Analyze, forecast and maximize profits by monitoring cost and performance of multiple business units
  • 9. Marketing/MM Store Manager Sales Assoc. Customer Business Scenarios - Retail • Store Profitability • Sales Performance • Stock Control • Loss Prevention • Task Management • Customer Insight • Sales and Service Performance • Profitability • Loyalty and persistency • Market basket analysis • Campaign results • Assortment Planning • Demand planning Supply Chain • Inventory optimization • Out-of stock prevention CFO/CEO • Financial Reporting • Business KPIs • Strategy & Planning
  • 11. Panorama NovaView Self-service BI suite • Powerful yet easy-to-use Analytics & Reporting for business users • Real-time operations control ability • On-top of any data source • Unified BI solution that creates consistent enterprise view on the data using unique for the entire organization metrics
  • 12. Intuitive & Interactive Panorama NovaView BI Suite Analytics Reporting Dashboards KPI’s Visualization (i.e. treemaps) Office Integration
  • 13. Universal Data Connector • Instantly connect to any data source with no IT involvement (Self-Service) • Automatically transform dull data into interactive and live insights • Benefit from the unified platform, management and security
  • 14. Panorama NovaView 6.2 Architecture NovaView Server - Business Logic - Unified Data Security Model Analysis Services Universal Data Connector and / or MS SQL SAP Oracle Flat Files Applications Web Services PowerPivot and / or Source, operational raw data Modeling, aggregations, semantics Intelligence Layer End User Client Smart ReportingMS Office ClientsSpotlightDashboardsAnalytics
  • 16. Usage Scenario: Baltika Breweries Background: • Second largest brewery in Europe • Recently merged with several other breweries • Revenues of €2 Billion • Doing business in 60 countries • Working with over 100 terabytes of data
  • 17. Challenge: To build a unified BI infrastructure to support and lead their market expansion after the merger, integrating different IT structures of 12 breweries, managing over 10,000 employees, 350,000 points of sale and a massive logistics network. Usage Scenario: Baltika Breweries
  • 18. Solution: • Baltika integrated Microsoft SQL Server Analysis Services for: • Its complete BI platform (from OLAP to Reporting and ETL) • Best total cost of ownership • Baltika extended Microsoft platform with Panorama NovaView for: • Self-service and ease of use for the business users • Light web-based environment • Rich data visualization • Tight integration with MS BI stack Usage Scenario: Baltika Breweries
  • 19. Benefits: • Consistent view on data throughout the organization • Improved collaboration between the diverse logistics groups • Self-service access to data for managers across the company to improve efficiency and agility • Reporting time takes minutes instead of days Future Plans: • Expanding Panorama NovaView + Microsoft BI platform into marketing, manufacturing, sales and supply-chain management Usage Scenario: Baltika Breweries
  • 20. About Panorama Software • 15 years of experience in Business Intelligence • Original developer of Microsoft Analysis Services and MDX • Long standing partnerships with Microsoft, SAP and Google • Over 1,500 customers worldwide
  • 21. • Get in touch with us: kseniyas@panorama.com • Follow us on Twitter: http://twitter.com/PanoramaSW • Panorama Software on LinkedIn: http://www.linkedin.com/company/13163 • Panorama blog: www.panorama.com/blog Q & A

Editor's Notes

  1. Terms & metrics have various meanings in different departments The whole company needs to share a comprehensive view of its data
  2. Today we’ll be focusing on Performance Management & Operations Intelligence
  3. Decision Support Scoring Next-best product Automated desicioning Financial Performance General Ledger Accounts Payable Fixed Assets Accounts Receivables Multi-GAAP Forecasting Strategy Planning Score Cards ALM Income Analysis Valuation Analysis Funding Analysis Funds Transfer Pricing Risk Management Interest Rate Risk Analysis Credit Risk Analysis Portfolio Credit Exposure Liquidity Risk Value-at-risk Customer Analysis Customer Profitability Customer Profile Customer Behavioral and Other Segmentation Wallet Share Analysis Customer Loyalty and churn analysis Product Profitability & Performance Profitability Analysis Channel Profitability Organizational Profitability Product Profitability Funds Transfer Pricing Performance Measurement Risk Adjusted Return on Capital