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Your CIO has made business intelligence and data warehousing a priority for 2008. Are you prepared?
Athena IT Solutions can assist your data warehousing and business intelligence programs by:
Our most popular courses:
Onsite courses enable cost-effective training for team members, business users, IT management and business sponsors.
Turn in your airline tickets and let industry expert Rick Sherman come to your site to provide you with a better understanding on what it will take to be successful in your data warehousing and business intelligence projects. Rick's years of proven training experience includes teaching at TDWI conferences and graduate-level engineering programs.
Want to get out of the office? Public data warehousing and business intelligence education is offered monthly in the Boston area in conjunction with our partner, DataSense solutions. Let us know if we can schedule a special course for you.
Business Intelligence and Data Warehousing: Fundamentals
Learn basic concepts of BI and DW; industry terminology; critical success
factors and risks; BI applications, uses and users; Data Integration Framework;
DW and BI development processes; culture, politics and organizations;
best practices; and industry trends.
Business Intelligence and Data Warehousing: Architecture
Learn basic architectural concepts; industry terminology; data integration;
hub-and-spoke, federated, and independent architectures; top-down, bottom-up,
and hybrid data warehousing methodologies; project management implications
of various approaches; how to determine the best-fit architecture and
methodology for your data warehousing program; best practices; and industry
trends.
Business Intelligence and Data Warehousing: Project Management
Learn the skills you need to usher your projects through all phases of
planning and implementation. The course provides a solid basis on: test
data, metadata planning, data stewardship, governance, backup planning,
ROI measurement, documentation, support preparation, user training, communications
planning, and other elements of a successful data warehouse.
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