Business Intelligence Data Governance and Modeling
Secure and model your raw data with an intuitive BI solution.
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Secure and Model Raw Data into Business Information
Multiple Data Sources
Linking through databases, text files, NoSQL, cloud data sources, and web-based sources.
Extensible Security
Enterprise-grade security can integrate with your pre-existing authentication protocols.
Visual Data Set Designer
Visually relate and aggregate data with the Data Set Designer.
Extensible Security to Match Your Business Intelligence Data Governance Protocols
Built-in End-to-end Security
Support for Industry-standard protocols, such as OAuth2, OpenID Connect, and Active Directory, ELAP
- Identity service acts as a federation gateway for external security providers.
- Multi-level hierarchal security means granular data control that offers another layer of privacy
Role-based Permissions
Wyn's role-based security ensures the appropriate people access the correct data across all verticals.
- Role-based security to map tenant-specific data access
- Data governance and modeling to logically isolate tenant-specific data
- Based on Organization and Role-based Authorization controls, Field Level Security, Row Level Security, and Data Isolation rules are available for even more data safety
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Intuitive Dashboard and Report Designers
Wyn offers enterprise reporting, embedded analytics, and enterprise-grade data governance and data modeling.
With Wyn's easy-to-use dashboard and report designers in the same web-based application, end-users can develop their own ad-hoc dashboards and reports based on the secured data.
Data Governance that Works for You
Customize and Granularly Control Shared Data
With easy-to-use dashboard and report designers in the same web-based application, end-users can develop their own ad-hoc dashboards and reports based on the secured data.
- Users can use existing dashboards and reports as a starting point to slice and dice the business information on their own.
- Mash-up data from various datasets into one document to visualize and identify new market trends.
Hierarchical Data Models and Semantic Data Models
Allow admins to model business data in a structure familiar to users.
- Users have controlled access to related data tables to use in creating reports.
- Set up rules to limit information by company and department.
- Restrict sensitive information to those with clearance, and deliver different data to different user groups across your enterprise.
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Shared Datasets
Administrator-defined datasets give the admin complete control of specific data in a flat structure for users. This eliminates the guesswork behind optimized queries and data relations.
Ad Hoc Datasets
Authorized report authors can define one-off report-specific datasets within the designer.
Data Access for Dashboards and Reports
Blend data from disparate sources using live data, cached data, structured data, semi-structured, cloud data, and file-based.
Datasets
- Streaming datasets
- Push datasets
- Cached data models for dashboard
Multi-source Real-time Data
Blend data from disparate sources using live data, cached data, structured data, semi-structured, cloud data, and file-based
Databases and Data Sources:
Oracle, SQL Server, MySQL, Postgres, SQLite, Excel, JSON, CSV, XML, MongoDB, ODBC, OData, Snowflake, Elastic Search, AWS RedShift, Google BigQuery, DB2, iSeries/AS400 Mainframes, TimeScaleDB, Clickhouse DB, Maria DB, TeraData, SQL Server Analysis (SSAS), Azure Synapse (using Synapse SQL).
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