GoldenSource Corporation: GoldenSource offers an integrated Enterprise Data Management (EDM) product suite for the securities and investment management industry.



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Our Market White Papers provide GoldenSource insights into key challenges and opportunities faced by the industry. These thought leadership pieces arewritten by GoldenSource experts in their respective field.

Our Solutions Insights present a detailed overview of GoldenSource product offerings and solutions that address specific industry challenges.

Our Research section provides downloads of EDM research conducted by third party research groups.

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Market perspectives: white papers
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Using a Data Warehouse to Solve Risk, Performance, Reporting and Compliance-related Issues Downloadable Content Available
Written By Tom Stock, SVP of Product Management for GoldenSource

This paper discusses how a data warehouse fits into an overall enterprise data management (EDM) strategy. It discusses three common business problems in the financial services industry and how a data warehouse can be used to solve these typical industry issues. Real life case studies are used to illustrate data warehouse usage in solving performance and attribution, risk and customer reporting related business problems.
 
Success with Solvency II: Challenges and Opportunities for Asset Managers Downloadable Content Available
This paper describes the key requirements of Solvency II, and assesses the data management impact for each. Best practices and recommendations for how firms can take a strategic approach to Solvency II are provided, to enable asset managers to turn compliance into a source of competitive advantage.
 
Structured Products - Using EDM to Manage Risk Downloadable Content Available
This paper describes the current difficulty in automating the processing of complex instruments and presents an overview of how the interconnected data delivered by Enterprise Data Management can be used to deliver increased automation and mitigate the not inconsiderable risks of exposure to unclear risks, such as counterparty exposure. 
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Why Managers are Demanding Consolidated Positions Data Downloadable Content Available

This paper identifies some of the key market drivers that are forcing the investment community to adopt data management practices that enable aggregate position keeping across their organizations and how an enterprise data management strategy can help achieve this.
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How Is Your Data Health? Downloadable Content Available
Using the analogy of a health check to determine the good working order of the body,  this paper discusses how data metrics can play a key role in raising awareness among senior executives of the direct correlation between poor quality data and data processes and the financial performance. Understanding the detrimental impact of data helps ensure that the momentum for data management projects is maintained and sustained.
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But How do I Know I can Trust the Data? Downloadable Content Available
A Briefing Paper outlining the four key data issues behind the reasons why Risk Managers need to be able to trust the data they use in conducting risk management practices on behalf of their firms. For many risk managers, the pressing issue is not the need for risk manage-ment - this is well understood - nor is it the technical methodology - there are more algorithms and risk engines on the marketplace than there are banks to apply them. Risk managers most important need is clean, timely datafrom which to conduct analysis.
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Surviving the Liquidity Crisis with Enterprise Data Management (EDM) Downloadable Content Available

Throughout the boom in complex leveraged and collateralised debt instru-ments, high yields have all but blinded investors to the significant risk. Now that the market has turned sour, and lenders are calling in the debts, investors are learning the hard way exactly how CDOs and other exotic instruments unravel.
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Deciphering the Data Integration Alphabet Soup Downloadable Content Available

This paper looks at some of the technologies that have evolved to tackle data integration issues such as EAI, ETL, CDI and MDM.  the objective is to clarifiy any confusion and determine if they are competing or complementary.
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Buy, Build or Outsource the Reference Data Platform - Risks and Rewards Downloadable Content Available
Concerned about poor data quality and the cost and effort of integrating vendor data into their data architectures, many institutions are adopting an Enterprise Data Management (EDM) strategy. this article identifies and explores three broad models for adopting EDM.
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MiFID - How to deal with 4 Critical Reference Data Issues Downloadable Content Available
The aim of the Markets in Financial Instruments Directive (MiFID) is simple: to allow financial services institutions in the EU to provide their services across borders, while increasing transparency and investor protection for retail and institutional customers.
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