Using Unstructured Data
Financial Services Firms Should Get Started
| Publication Date | June 2008 |
|---|---|
| Publisher | IDC |
| Product Type | Report |
| Pages | 17 |
| ISBN Number | not applicable |
| Product Code | IDC04256 |
Buy this product or for assistance call +44 20 7060 7474
Summary
This Financial Insights' report introduces basic approach for business analytics projects in the financial services industry based on unstructured data. By describing both the important pieces of the solution and a process for building one, this approach will facilitate the communications that will be necessary between the line-of-business managers and technical personnel in financial firms, and highlight some of the most critical elements of that conversation.
Building business analytics applications specifically to mine and leverage unstructured data will require unusual levels of collaboration between technical personnel and strategic business managers, concludes Patricia McGinnis, research manager.
Content
- Financial Insights Opinion
- In This Report
- Brief Description of the Solution
- Situation Overview
- Urgency for Financial Firms
- Thinking About Unstructured Data
- What Is Unstructured Data?
- What Good Is Unstructured Data?
- Harnessing the Diversity of Unstructured Data
- Figure: Data Diversity Creates Challenges
- Conceptual Framework for Projects with Unstructured Data
- Understanding the Pieces
- Figure: Conceptual Framework for Unstructured Data Analytics
- The IT Domain
- Analytic Engines
- The User Domain
- Figure: Sample Data Visualization Techniques: Star or Heat Map
- Understanding the Process
- Figure: Optimizing the Analytic Engine
- Figure: The Balancing Act: A Coherent Solution Fulfills User Needs Within Time, Budget, and Quality Constraints
- Future Outlook
- Essential Guidance
- Actions for Financial Institutions
- Actions for Vendors
- Learn More
- Related Research
- Synopsis
Delivery Details
PDF:Immediate delivery
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