When developing a business intelligence (BI) and/or data warehousing architecture, Information & Knowledge Management (I&KM) professionals must consider a variety of often conflicting factors. These include strategic issues such as governance, IT standards, corporate policies, and cost of ownership goals, as well as tactical considerations including latency, agility, integration, data quality, and modeling. To support I&KM pros selection of the most appropriate data architecture for their BI needs, Forrester developed the Forrester Analytical Data Architecture Selection Tool. This presentation walks you through this tool so you can most effectively use it as a guide to determining your optimal target architecture.
Agenda:
- Pros and cons of five common analytical architecture models
- Presenting the Forrester Data Architecture Selection Tool
- Recommendations
You'll receive an email with dialing and Webex instructions prior to the Webinar.