iGlobal Enterprise Analytics

iGlobal Seminar October 14, 2009 Damien Georges Managing Director Hipercept Inc. [email_address]

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

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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iGlobal Enterprise Analytics

by dailena on Nov 20, 2009

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iGlobal Enterprise Analytics — Presentation Transcript