Use Case

Deliver a Complete View of Customer Data with Unified Universal Data Access

Timbr empowers businesses to create a comprehensive 360-degree view of their customers by seamlessly integrating structured and unstructured data from all touchpoints—such as CRM systems, transaction logs, social media platforms, and customer support channels—into a unified knowledge graph.

By leveraging Timbr, organizations can query, manage, and analyze this data without the need for resource consuming ETLs or data movement. This results in a more connected and holistic view of customer interactions, allowing businesses to make more informed decisions that improve customer experience and retention.

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

Managing Disconnected Customer Data?It’s a challenge to unify customer data scattered across various platforms, often leading to an incomplete and fragmented view of the customer.

Lacking Data Context for Decision-Making?Without relational context between different customer touchpoints, crucial insights are missed, making it harder to deliver meaningful, personalized customer experiences.

Complex Customer Segmentation?Effectively segmenting and targeting customers becomes difficult when critical data sources remain siloed, leading to generalized or less impactful campaigns.

Why Timbr

Unified Customer Data View:Timbr’s semantic layer brings together data from various customer touchpoints, ensuring all interactions are connected and offering a complete view of customer behaviors and preferences.

Real-Time, Contextual Insights:Timbr’s solution provides real-time access to customer data without complex ETL processes, enabling businesses to make decisions based on the most current insights without delays or redundant data movements.

Enhanced Data Enrichment:By connecting and integrating diverse customer data within Timbr’s semantic layer, businesses can uncover richer insights, such as purchase behaviors, product preferences, and engagement metrics, enhancing customer segmentation and personalization.

Impact

360-Degree Customer Understanding:Timbr’s Customer 360 solution provides businesses with a deep understanding of customer journeys and interactions, leading to improved personalization, customer retention, and higher satisfaction.

Accelerated Time-to-Market:With a unified, real-time view of customers, businesses can quickly design and execute targeted campaigns that respond to customer needs, significantly reducing time-to-market for new offers.

Boosted Sales and Customer Loyalty:Deeper customer insights lead to more relevant product recommendations, better-targeted marketing efforts, and stronger customer loyalty, driving both conversion rates and customer lifetime value.

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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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