Unlock Complex Relationships and Solve the Unsolvable
At DATAECONOMY, we excel in cutting-edge graph engineering and graph sciences services and solutions. Our goal is to help you solve previously unsolvable business problems by uncovering complex and hidden relationships.
Bootstrap Your Graph Journey with DATAECONOMY’S GRAPH ECOSYSTEM
We offer a comprehensive ecosystem that accelerates your graph adoption and delivers immediate ROI by connecting all the dots in the graph landscape.
Here’s how we differentiate ourselves:
1. Product Partnerships
We have established deep partnerships with three major Graph product providers. Our collaboration extends to contributing to their use cases and leveraging their subject matter expertise, ensuring you benefit from the most advanced graph technologies and solutions available.
2. EDMC Partnership
As an active member of the Enterprise Data Management Council (EDMC), a global association with over 200 organizations and 10,000+ professionals, we are committed to advancing data management best practices and standards. We collaborate with EDMC’s OPEN KNOWLEDGE GRAPH LABS to drive innovation in graph solutions for Anti-Money Laundering (AML). Our contributions include subject matter expertise, AML Graph Schema built on FIBO, and practical graph use cases.
3. Deep Domain Expertise
Our extensive experience and thought leadership in various business domains enable us to successfully implement and scale graph strategies. We provide tailored solutions that meet the specific needs of your industry, ensuring effective adoption and integration.
4. Collection of Graph Assets (IP)
Algorithms: A collection of prebuilt algorithms to understand and analyze deep connections and networks.
Solutions: Innovative solutions designed to accelerate business outcomes and drive actionable insights.
5. Dedicated Graph Practice
Our specialized engineering and services teams are dedicated to graph technologies. We focus on building proprietary solutions, delivering expert services, and scaling people and processes to ensure optimal performance and results.
Powered By:
- SCHEMA.ORG Ontology: For Customer & Commercial 360 solutions.
- FIBO Ontology: For AML Graph Schema.
- Interoperable & Comprehensive Customer Ontology: Using RDFS & OWL.
- NLP: For processing unstructured social media data.
- Deanonymization: Of customer data from social media and clickstreams.
- Event-Driven Contextual Knowledge: From internal data and external sources.
- Machine Learning: For continuous learning algorithms to accurately track and respond to evolving customer needs.
Graph Engineering Services
Unlock the full potential of your data with our comprehensive Graph Engineering services. We provide end-to-end solutions to design, implement, and optimize graph technologies, ensuring you leverage the power of complex relationships and insights.
Graph Strategy
Value Design
Tailor a strategy that aligns with your business objectives, identifying key value drivers and opportunities.
Value Realization Roadmap
Develop a clear roadmap to achieve and measure the value delivered by your graph initiatives.
Architecture & Design
Create robust and scalable architecture that supports your graph strategy, ensuring long-term success.
Develop Business Usecases
Identify and develop specific business use cases that leverage graph technology to address your unique challenges.
Product Evaluation
Assess and recommend the best graph products and technologies suited to your needs.
Graph Modelling & Schema
Graph Schema
Design and implement graph schema models that represent your data relationships accurately.
Graph to RDF/Owl Mapping
Facilitate the mapping of graph data to RDF (Resource Description Framework) and OWL (Web Ontology Language) standards.
Industry Framework Implementation
Implement industry-specific frameworks and ontologies (e.g., SCHEMA.ORG, FIBO) to enhance the relevance and functionality of your graph solutions.
Graph Data Ingestion
Batch Ingestion
Utilize tools such as Kettle, Talend, and scripting languages (Python, Cypher) for efficient batch data ingestion.
Real-Time Ingestion
Implement real-time data ingestion solutions using technologies like Kafka and Kinesis to ensure up-to-date data availability.
Infrastructure
Graph Cluster Capacity Planning & Setup
Plan and set up graph clusters to meet your performance and scalability requirements.
Product Installations
Oversee the installation of graph technologies and tools to ensure a smooth deployment process.
Product Upgrades
Manage and execute upgrades to keep your graph solutions current with the latest features and improvements.
Support & Maintainance
Provide ongoing support and maintenance to ensure the optimal performance and reliability of your graph infrastructure.
Graph Service Fabric
API-Based Consumption
Enable access to graph data and functionalities through API-based integration, facilitating seamless interactions with other systems.
MQ/Service Bus-Based Consumption
Support message queuing (MQ) and service bus-based communication for robust and scalable graph data interactions.
Performance Insights
Analyze metrics to optimize and improve operations.
Ready to Optimize your Graph Engineering?
Contact us today to explore how our Graph Engineering services can transform your data strategy and deliver actionable insights.
