Use Case

Connect Workforce Data for Smarter HR Management

Managing a large organizations with hundreds or thousands of employees, managers, and departments can be overwhelming. It’s tough to keep track of complex reporting lines, especially when employees report to multiple departments or when managers have layers of responsibility.

Timbr helps HR teams simplify this complexity. By connecting all your HR data into one clear picture, Timbr makes it easier to see relationships between employees, managers, and departments. This clarity helps HR professionals make better decisions, manage and plan more effectively.

USE CASE TEMPLATE

Timbr Github repository contains a collection of SQL ontology-based semantic data models. These ontologies serve as customizable templates, designed to help users jump-start their modeling process tailored to their specific business domains.

USE CASE ONTOLOGY MODEL

The ontology semantic model makes it easy to understand and find data across tables and datasets. Timbr speeds up data discoverability by displaying data as a network and in a business-friendly manner.

Challenges

Struggling with Complicated Reporting Lines?Large organizations often deal with complex reporting lines, where managers oversee teams across multiple departments or have multi-layered responsibilities. Keeping track of who reports to whom—and ensuring those relationships are accurate—can be a major challenge.

Data Spread Across Different HR Systems?HR data can be scattered across various systems, such as payroll, performance reviews, and recruitment. When your data isn’t connected, it’s harder to get a full picture of an employee’s contributions or identify areas that need attention.

Need Clearer Insights into Your Workforce?Gaining a full view of your organization—such as identifying top talent, understanding department performance, or analyzing reporting structures—is tricky when data is scattered across different platforms and isn’t easily accessible.

Why Timbr

See the Whole Picture:Timbr’s Semantic Layer unifies all your HR data, allowing you to easily view how employees, managers, and departments are connected. You can explore relationships, see how teams interact, and uncover patterns that might otherwise go unnoticed.

Unlock Complex Insights with Recursive Queries:Traditional databases often struggle with recursive queries, particularly when exploring hierarchical data like employee-manager structures. With Timbr’s knowledge graph, you can easily run recursive queries in SQL, revealing valuable insights from complex organizational data. This allows HR teams to uncover connections that would be difficult to identify with traditional systems.

Smarter Organizational Planning:With Timbr’s comprehensive view of your company, HR teams can plan more effectively. Whether you’re reorganizing departments or developing future leaders, Timbr provides the insights you need to make confident decisions.

Impact

Better Workforce Visibility:Timbr helps HR teams visualize complex relationships, providing a clearer understanding of organizational structures. Whether you’re tracking team dynamics or identifying key employees, Timbr ensures you can see your workforce more clearly.

Smarter Organizational Planning:With a connected view of your organization, HR teams can make informed decisions about team structures, succession planning, and leadership development. Timbr’s Semantic Layer helps you identify growth opportunities and ensure your organization is always evolving.

Faster, More Confident Choices:Timbr gives HR professionals the clarity they need to make faster, data-driven decisions. With a comprehensive view of organizational relationships and structures, you can make impactful choices with confidence.

* Demo environment - not all platform functionalities available

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Model a Timbr SQL Knowledge Graph in just a few minutes and learn how easy it is to explore and query your data with the semantic graph

Model a Timbr SQL Knowledge Graph in just a few minutes and learn how easy it is to explore and query your data with the semantic graph

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