SAP Lumira Services Training Support

SAP Lumira is software that is designed to help users take full advantage of the massive amounts of data that is available to their business by using data visualization. The data can be put together in diverse forms and on multiple platforms. The vendor says that its solution helps users go beyond spreadsheets and basic data presentations – all without predefined scripts, complicated queries, or complex reports.

SAP Lumira Features

Data Discovery and Visualization Features

Data Discovery and Visualization is the analysis of multiple data sources in a search for pattern and outliers and the ability to represent the data visually.

  • Pre-built visualization formats (heatmaps, scatter plots etc.)
  • Location Analytics / Geographic Visualization
  • Predictive Analytics

BI Standard Reporting Features

Standard reporting means pre-built or canned reports available to users without having to create them.

  • Customizable dashboards

Ad-hoc Reporting Features

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

  • Drill-down analysis
  • Formatting capabilities
  • Predictive modeling
  • Report sharing and collaboration

Report Output and Scheduling Features

Ability to schedule and manager report output.

  • Publish to Web
  • Publish to PDF
  • Report Delivery Scheduling

Additional Features

  • Acquire and enrich data, big and small, from any source
  • Visualize and explore any amount of data in real time without sacrificing performance or security
  • Share insights across the entire organization by publishing or exporting data sets and visualizations to SAP Lumira, Edge edition, the SAP BusinessObjects BI Platform, or to SAP Lumira Cloud

Data is a critical resource for every organization. We depend on data every day to keep records, produce reports, deliver information, monitor performance, make decisions, and much more. The data resource is on par with financial and human resources as a core component of doing business, yet data management practices are often quite casual. Data governance brings the same level of discipline to data management as is typical when managing financial and human resources.

Building a data governance program is a complex process that focuses people, processes, policies, rules, and regulations to achieve specific goals for a managed data resource. Successful and effective data governance depends on clear goals and well executed activities that match governance practices to your organization’s needs, capabilities, and culture. A continuously evolving program is necessary to keep pace with trends such as cloud services, big data, and agile development. This course provides fundamental understanding of data governance concepts and techniques that is essential to start a new governance program or evolve an existing program.

You Will Learn

  • Definitions and dimensions of data governance
  • Key considerations and challenges in building a data governance program
  • The practices, roles, skills, and disciplines essential to data governance
  • The qualities that make good data stewards and stewardship organizations
  • The processes of developing, executing, and sustaining data governance
  • Activities, issues, and options when building a data governance program
  • How maturity models are applied for data governance
  • The importance of adapting data governance for trends such as big data, cloud services, and agile development methods

Geared To

Data quality and data governance professionals; BI/DW managers, architects, designers, and developers; data stewards, data architects, and data administrators; anyone with a role in data governance or data quality management

Technical resources.

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