Here is the list of hot topics scheduled for the 2010 Gartner BI conferences. When we look over the list the three things we need to focus on
1. BI Strategy
2. Performance and
3. Data Quality
Here is Gartners 2010 Agenda of 'Hot List' topics
• Creating a successful BI strategy
• Corporate performance management best practices
• New BI business models and Pattern-Based Strategy
• Data and content in the cloud
• BI competency center and BI roles and organization
• Gathering requirements and building an RFP
• Choosing and managing performance metrics
• Analytics and analytical applications
• The high-performing data warehouse
• New delivery models: open-source BI and BI as a service
• Trends in information infrastructure and enterprise information management
• Data quality and data integration convergence
• Business activity monitoring and the rise of process-driven BI
• BI justification and business value
• BI market trends and vendor evaluations
• New Enterprise 2.0 and enterprise search trends
Gartner's 2010 'Hot-List' topics
Gathering and using business information are critical to driving growth. Business Intelligence (BI), Analytics and Performance Management (PM) initiatives coupled with an innovative and adaptable information infrastructure will play a significant role in helping your organization identify and understand the potential impact of these new business patterns, providing the insight business leaders will find invaluable. New ways of using traditional technologies, coupled with the increasing sophistication of analytic applications and the emergence of mash-ups, offer huge potential for IT to help adapt and grow the business for this new world.
There is evidence that firms are increasing investment. With nearly half of organizations anticipating that BI budgets will increase in the next 12 months, it is vital that investments are deployed that build - and develop - the use of these investments in the business. In spite of significant opportunities in supporting the business, obstacles still abound: unengaged business sponsors; lack of business user involvement; fragmented information silos and governance; BI tool proliferation; poor data integrity coupled with poor quality and inconsistency, skills gap can lead to low adoption rates amongst business users and unrealized business value.
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