MicroStrategy Services Training Support

The MicroStrategy platform differs somewhat from competing platforms in that it does not include a data warehouse.

The platform integrates with a wide range of third-party data warehouses however. MicroStrategy also built a free discovery/visualization tool called MicroStrategy Analytics Desktop, which is not completely integrated with the rest of the platform. MicroStrategy has strong mobile and cloud capabilities which are differentiators for the platform. MicroStrategy’s cloud offerings are unique in that they host the software in their own data centers and allow customers to keep their data on-premise to alleviate security concerns. Analytics is a platform for Business Intelligence (BI) and self-service analytics. It enables organizations worldwide to analyze the vast amounts of data stored across their enterprises to make better business decisions.

MicroStrategy currently has 3 versions:

  • MicroStrategy Analytics Enterprise: Enterprise-grade business intelligence
  • MicroStrategy Analytics Desktop: Free self-service visual analytics
  • MicroStrategy Analytics Express: Free cloud-based self-service visual analytics

The BI life cycle spans a continuum that begins with large amounts of disparate data and stretches to encompass people, technology, information, analysis, and decision making. The benefits of BI are substantial: new business capabilities for insight, forecasting, planning, agility, and strategy execution.
Realizing benefits is challenging. With many moving parts—infrastructure, technology, data, integration, analytics, applications, metrics, reports, dashboards, scorecards—putting the pieces together in the most effective way is difficult. Learn the basics of BI from end to end, with special attention to two of the most important factors for BI success: planning and collaboration. You are most able to chart a course for BI success when teams and stakeholders share common concepts, use consistent terminology, and contribute collectively to the BI vision.

You Will Learn

  • Meaningful and actionable definitions of BI
  • Effective ways to deliver BI: Web, mobile, desktop, etc.
  • Common kinds of BI reporting: ad hoc, published, enterprise, and operational
  • Performance management principles, including dashboards, scorecards, and KPIs
  • Business analyst principles, including OLAP, analytic modeling, and data visualization
  • Advanced analytics concepts for data mining, predictive analytics, and text analytics
  • Data management practices, including profiling, cleansing, and quality management
  • Data integration practices, including consolidation, virtualization, and data warehousing

Geared To

  • Anyone with a role in BI/DW programs who needs to understand the concepts and the full life cycle of BI
  • BI/DW managers and leaders seeking to increase the value and business impact of a BI program
  • Business andtechnical people who need to work together to implement BI
  • Teams that need to develop a common base of concepts and terminology for BI

Technical resources.

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Best practices for adopting secure, governed self-service analytics

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