Tableau Desktop Services Training Support

Tableau Desktop is the rapid-fire authoring environment used to create and publish complex visualizations, reports and dashboards in multiple output formats. Using Tableau Desktop services by Tableau Experts, a report author can connect to multiple data sources, explore relationships, create dashboards, modify metadata, and finally publish a completed workbook to Tableau Server if desired.

The Desktop product comprises two editions:

  • Personal Edition: This edition allows work to be saved locally and supports connections to the following databases: CSV/flat files, Excel, and Access.
  • Professional Edition: This edition supports a wider range of databases including most traditional relational databases, OLAP databases, Hadoop, and also Salesforce and Google 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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