Use Case
Harness the
Power of the Ontology-Based Semantic Layer
Fragmented data sources, complex schemas, and inconsistent definitions, create silos and hinder collaboration. BI tools that rely on rigid, ad hoc modeling and static views, make it difficult to achieve scalable, unified analytics and restrict the ability to make informed and timely decisions.
Timbr works as a headless BI platform providing semantic modeling and integration of data with meaning, explicit relationships, and standardized metrics to ensure reporting consistency and reliability.
Timbr decouples data processing and visualization, enabling seamless integration of insights into custom applications, workflows, and interfaces. By unifying disparate data into a context-rich framework, it ensures a 360° view of data, along with interoperability and scalability.
Serving as both a centralized source of truth for metrics and a flexible analytics engine, Timbr provides organizations with reliable insights, advanced analytics, and AI-driven capabilities for confident decision-making.
BEHIND THE USE CASE
The ontology-based semantic layer centralizes business logic allowing for more flexible and complex querying, essential for advanced AI integration.
USE CASE – DATABRICKS
Timbr seamlessly integrates with Databricks enabling fully declarative definition of semantic models to efficiently manage and share data.
USE CASE – POWERBI
Substitute DAX with SQL modeling and metrics that enable PowerBI with accelerated refreshing and advanced analytics across multiple data sources.
REFERENCE ARCHITECTURES
Timbr embedds semantic intelligence into leading architectures including, Microsoft Fabric, Google Cloud, AWS Cloud and Snowflake.
Challenges
Dealing with Silos and Complex Data Structures?Organizations often struggle with disparate data sources and complex schemas comprising numerous tables, creating data silos and inconsistent terminology. These barriers hinder effective integration and collaboration across teams, limiting the ability to derive actionable insights from enterprise-wide data.
Facing Governance and Scalability Issues?
As data systems scale, the lack of a centralized governance framework leads to inefficiencies, errors, and compliance risks. Without proper oversight, organizations face challenges in maintaining data consistency and ensuring interoperability across expanding datasets.
Generating Views Over and Over Again?
Traditional BI tools rely on ad hoc modeling and static views, making them rigid and difficult to share. These limitations prevent scalable analytics and hinder the integration of insights into modern workflows, delaying decision-making and innovation.
Why Timbr
Ontology-based Semantic Modeling with VirtualizationTimbr’s ontology-based semantic layer integrates disparate data sources and simplifies work with complex schemas by creating explicit, context-rich relationships. This approach eliminates silos, ensures consistent terminology, accelerates delivery of data products and simplifies consumption.
Scalable Governance and Metrics Standardization
Timbr provides a robust framework for governance by centralizing metric definitions and ensuring data consistency. Its scalable design supports expanding datasets while maintaining compliance and interoperability across enterprise systems.
Headless BI for Flexible Integration
Timbr acts as a headless BI platform, decoupling data processing from visualization and replacing static views with dynamically managed concepts. This flexibility allows insights to integrate effortlessly into custom applications, workflows, and interfaces, enabling organizations to meet modern analytics demands with speed and efficiency.
Impact
Enhanced Collaboration and Data AccessibilityBy unifying data and standardizing metrics, Timbr enables teams to collaborate effectively while accessing consistent and reliable data. This fosters a shared understanding of organizational data and improves overall productivity.
Reliable, Scalable Analytics
Timbr’s scalable governance framework and semantic modeling ensure consistent, reliable analytics as organizations grow. Teams can maintain compliance and interoperability while deriving insights from ever-expanding datasets.
Streamlined Integration and Real-Time Insights
As a headless BI platform, Timbr simplifies the integration of insights into diverse workflows and interfaces. This accelerates decision-making by delivering real-time, actionable analytics directly where they are needed.
