Use Case
Visualize Relational Data as a Graph to Understand Data Connections and Discover Insights
Organizations often struggle to gain a complete understanding of their data due to scattered sources and hidden relationships. Traditional methods for visualizing data relationships are complex and require transforming data into graph databases, adding time and costs.
Timbr’s Graph Explorer enables users to visualize relational data as a web of relationships without needing transformation into a graph database. By leveraging Timbr’s semantic relationships, organizations can achieve a 360-degree view of their data, identify hidden connections, and visually answer critical business questions.
BEHIND THE USE CASE
Exploring data with Timbr is, by far, much easier than finding data across tables and datasets. Timbr speeds up data discoverability by displaying data as a network and in a business-friendly manner.
Challenges
Struggling to Analyze Complex Relationships?Your data is highly interconnected, with interactions spanning customers, products, and operations. Traditional tools often lack the ability to explore these relationships dynamically, leading to missed insights.
Need Better Performance for Large Data?Analyzing large datasets can become slow and expensive with conventional tools. Without scalable infrastructure, bottlenecks can occur, hindering your ability to extract meaningful insights.
Is Advanced Analysis Out of Reach?Sophisticated graph analytics often require specialized tools and expertise, which many organizations lack. This makes it difficult to reveal important patterns without a dedicated data science team.
Why Timbr
Relational Data Visualization Without TransformationTimbr’s Graph Explorer allows users to visualize relational data as a graph without transforming it into a graph database. By leveraging Timbr’s semantic modeling, users can explore connections directly within their existing systems.
No-Code Graph ExplorationTimbr’s Graph Explorer empowers users to explore their data without needing to write complex queries or learn specialized tools. It combines the ease of natural language querying (NLQ) with a no-code interface, allowing you to visually explore relationships between data points.
A 360-Degree View of Data Relationships
Timbr creates a unified, context-rich representation of data relationships across sources. This holistic view helps users uncover hidden patterns and connections, enabling better decision-making and deeper insights.
Impact
Accelerate Time-to-InsightBy simplifying the way data relationships are visualized and analyzed, Timbr helps you reduce the time it takes to uncover actionable insights. Whether identifying trends, optimizing workflows, or detecting anomalies, Timbr enables faster, more effective decision-making.
Uncover Hidden Value in Your DataTimbr’s powerful graph exploration capabilities allow you to uncover hidden relationships that traditional tools might miss. With the ability to visualize your data as an interconnected network, Timbr lets you see the bigger picture and make more informed decisions.
Reduce Complexity and CostWithout the need for specialized graph databases or expensive infrastructure, Timbr enables cost-effective graph analytics and exploration. By working with your existing SQL-based systems, Timbr helps you scale your analytics efforts without unnecessary overhead.
