BIView for NAV Services Training Support

BIView for NAV is a self service Microsoft Dynamics BI support tool. It includes 15 predefined dashboards with table and visualization overview of live data. Custom dashboards are also available. The vendor says that as an authorized partner for Dynamics NAV, they understand the needs of Microsoft Dynamics NAV users regarding business intelligence and analytics. Vendor’s value proposition is to use analytics to help users with sales, purchase, finance, inventory, production, etc.

BIView Mobile, a free app available from Google or Apple, allows access to Microsoft Dynamics NAV (Navision) business data with a secure VPN connection on iOS and Android tablets.

The platform works with or without an internet connection.

BIView for NAV Features

BI Platform Features

  • Administration via Windows App
  • Live Connection to External Data
  • OLAP (Pre-processed cube representation)
  • ROLAP (SQL-layer querying)
  • ETL Capability
  • ETL Scheduler

Supported Data Sources Features

Data sources that can be consumed by the application.

  • MS SQL Server
  • ODBC

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
  • Report sharing and collaboration

Report Output and Scheduling Features

Ability to schedule and manager report output.

  • Publish to PDF
  • 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.)

Access Control and Security Features

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

  • Role-Based Security Model
  • Multiple Access Permission Levels (Create, Read, Delete)
  • Table-Level Access Control (BI-layer)

Mobile Capabilities Features

Support for mobile devices like smartphones and tablets.

  • Dedicated iOS Application
  • Dedicated Android Application
  • Dashboard / Report / Visualization Interactivity on Mobile

Additional Features

  • Easy and fast connection to Navision’s database with Server configurator

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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