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Slide 1
iGlobal Seminar
October 14, 2009
Damien Georges
Managing Director
Hipercept Inc.
dgeorges@hipercept.com
Slide 2
• Integrating information from third parties (property managers, JV
partners, asset managers)
• Determining the impact of changes in asset acquisition/disposition
strategies on investment and investor returns, including:
– Hypothetical portfolios
– Debt financing and refinancing changes
– Impact of changes in underlying property leasing assumptions and
major tenant changes on NOI and value
• Managing diverse global portfolios and trying to consolidate that
information into an accurate portfolio level understanding
Challenges
Slide 3
Business Intelligence and Data Governance
• Using a Business Intelligence and Data Governance framework to
tackle these challenges
• This framework supports the consistent business requirement:
– “I want to see all the information that tells me how my
business is running, has run and will run in one place”
• The reality of trying to meet the requirement:
– Access to high accuracy (data governance) information in
underlying systems
– Complex systems integration
– Method for aggregating and normalizing data
– Reporting
– Business buy-in, stamina and significant investment
Slide 4
Why should you care?
• I am focused on driving revenue (not technology or operations)
– These systems can be used to better manage your portfolio
• Risk management (exposure analysis)
• Debt management (loan-to-value, debt service coverage)
• Improving investment and investor returns (scenario analysis,
assumption sensitization)
– Successfully implementing this framework will result in better
portfolio management
– This framework is not a luxury in the current environment
• Both from the investment manager and the investors
perspective
Slide 5
Integrated Enterprise Analytics Environment
Slide 6
Garbage in  Garbage Out
Without the dual
implementation of a BI
and data governance
infrastructure it is difficult
to provide information that
end users can trust.
The combined strategy
enables effective risk
management and leads to
better decisions.
Slide 7
Implemented across the enterprise in a diverse vendor landscape
Slide 8
Solving the challenge – Combining Best Practices
• Combination of past projects for private equity and investment
management firms
– Implementing data governance and business intelligence in
parallel
– Defining, publishing and monitoring data standards
– Creating a system agnostic schema for the consumption of
information
• Leveraging existing standards and benchmarks (OSCRE,
PISCES, IPD and NCREIF)
– Investing several million dollars in establishing and maintaining
this platform
• Building a comprehensive business case to support this
investment
Slide 9
Focused on supporting the investment lifecycle
Slide 10
Collecting information
Slide 11
Taking a system agnostic approach to a data model
OSCRE Hybrid Approach

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iGlobal Enterprise Analytics

  • 1. Slide 1 iGlobal Seminar October 14, 2009 Damien Georges Managing Director Hipercept Inc. dgeorges@hipercept.com
  • 2. Slide 2 • Integrating information from third parties (property managers, JV partners, asset managers) • Determining the impact of changes in asset acquisition/disposition strategies on investment and investor returns, including: – Hypothetical portfolios – Debt financing and refinancing changes – Impact of changes in underlying property leasing assumptions and major tenant changes on NOI and value • Managing diverse global portfolios and trying to consolidate that information into an accurate portfolio level understanding Challenges
  • 3. Slide 3 Business Intelligence and Data Governance • Using a Business Intelligence and Data Governance framework to tackle these challenges • This framework supports the consistent business requirement: – “I want to see all the information that tells me how my business is running, has run and will run in one place” • The reality of trying to meet the requirement: – Access to high accuracy (data governance) information in underlying systems – Complex systems integration – Method for aggregating and normalizing data – Reporting – Business buy-in, stamina and significant investment
  • 4. Slide 4 Why should you care? • I am focused on driving revenue (not technology or operations) – These systems can be used to better manage your portfolio • Risk management (exposure analysis) • Debt management (loan-to-value, debt service coverage) • Improving investment and investor returns (scenario analysis, assumption sensitization) – Successfully implementing this framework will result in better portfolio management – This framework is not a luxury in the current environment • Both from the investment manager and the investors perspective
  • 5. Slide 5 Integrated Enterprise Analytics Environment
  • 6. Slide 6 Garbage in  Garbage Out Without the dual implementation of a BI and data governance infrastructure it is difficult to provide information that end users can trust. The combined strategy enables effective risk management and leads to better decisions.
  • 7. Slide 7 Implemented across the enterprise in a diverse vendor landscape
  • 8. Slide 8 Solving the challenge – Combining Best Practices • Combination of past projects for private equity and investment management firms – Implementing data governance and business intelligence in parallel – Defining, publishing and monitoring data standards – Creating a system agnostic schema for the consumption of information • Leveraging existing standards and benchmarks (OSCRE, PISCES, IPD and NCREIF) – Investing several million dollars in establishing and maintaining this platform • Building a comprehensive business case to support this investment
  • 9. Slide 9 Focused on supporting the investment lifecycle
  • 11. Slide 11 Taking a system agnostic approach to a data model OSCRE Hybrid Approach