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iGlobal Seminar October 14, 2009 Damien Georges Managing Director  Hipercept Inc. dgeorges@hipercept.com
Challenges 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
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
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
Integrated Enterprise Analytics Environment
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.
Implemented across the enterprise in a diverse vendor landscape
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
Focused on supporting the investment lifecycle
Collecting information
Taking a system agnostic approach to a data model OSCRE Hybrid Approach

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Hipercept Presentation at IGlobal\'s Private Equity Summit

  • 1. iGlobal Seminar October 14, 2009 Damien Georges Managing Director Hipercept Inc. dgeorges@hipercept.com
  • 2. Challenges 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
  • 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. 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
  • 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. Implemented across the enterprise in a diverse vendor landscape
  • 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. Focused on supporting the investment lifecycle
  • 11. Taking a system agnostic approach to a data model OSCRE Hybrid Approach