Exago BI Services Training Support

Exago is a self-service Business Intelligence solution that is designed to provide a balance of operational and ad hoc reporting, dashboards, and interactive data visualization for non-technical business users. End users control the entirety of the reporting life cycle – from creation to delivery and consumption of reports and visualizations; development does not have to create reports, charts, graphs or dashboards for end users to consume or manipulate.

This completely 100% web-based system doesn’t require plug-ins or downloads for full functionality; Exago is downloaded and installed on host application servers behind host application firewalls. Exago has a single sign-on, and security can be set up by group or user at the database, data object, row, or column level. Existing security or business logic layers can be accessed through programmable data sources. Exago’s UI can be modified through fully exposed CSS, providing a seamless experience. Text strings can be translated into any language with graceful handling of variable-length labels, and users can directly access SQL Server, MySQL, Oracle, PostgreSQL, DB2 and Informix. It’s simple to pass data through Web Services or .NET assemblies, and access tables, views, or custom, dynamic SQL statements. The vendor recommends Exago to application software companies that need to address multi-client requirements, and are looking for a solution that combines dashboards, interactive data visualizations and operational reporting.

Exago BI Features

BI Platform Features

Administration via Web Interface
Live Connection to External Data
OLAP (Pre-processed cube representation)
Multi-Data Source Reporting (Blending)
Data warehouse / dictionary layer

Supported Data Sources Features

Data sources that can be consumed by the application.

MS Excel Workbooks
Oracle
MS SQL Server
IBM DB2
Postgres
MySQL
ODBC
IBM Netezza
Salesforce
Google Analytics

BI Standard Reporting Features

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

Pixel Perfect reports
Customizable dashboards
Report Formatting Templates

Ad-hoc Reporting Features

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

Drill-down analysis
Formatting capabilities
Integration with R or other statistical packages
Report sharing and collaboration

Report Output and Scheduling Features

Ability to schedule and manager report output.

Publish to Web
Publish to PDF
Output Raw Supporting Data
Report Versioning
Report Delivery Scheduling

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
Integration with R or other statistical packages

Access Control and Security Features

Access control means being able to determine who has access to which data.

Multi-User Support (named login)
Role-Based Security Model
Multiple Access Permission Levels (Create, Read, Delete)
Report-Level Access Control
Table-Level Access Control (BI-layer)
Field-Level Access Control (BI-layer)

Mobile Capabilities Features

Support for mobile devices like smartphones and tablets.

Dashboard / Report / Visualization Interactivity on Mobile
Additional Features
Visual integration – complete control of styling and multi-language support
Actionable reports – launch workflows from report output

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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