Why You Need Knowledge Graph and Data Modeling Services
Knowledge graphs can serve as the uniting element to connect your organization’s data, content, and other knowledge assets based on standards. Our knowledge graph and data modeling services can bridge your organization’s unique sources of knowledge, delivering lineage, business meaning, and context to inform your business stakeholders, power artificial intelligence, and reveal new connections to drive innovation and efficiency.
What We Offer
Our knowledge graph and data modeling services range from initial strategy, workshops, and training, through architecture assessment and software selection, to enterprise knowledge graph design and operationalization.
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Explore our case studies detailing over ten years of successful enterprise knowledge graph efforts, as well as our associated thought leadership articles.
Enterprise Knowledge Graphs are far more than a simple technology solution. When designed and integrated properly, they serve as a core enabler for semantic layers and artificial intelligence, and can be the bridge between your organization’s people and all of the information they need to innovate, lead, and deliver.
Whether you’re seeking next-generation search, risk, compliance and fraud detection, 360-degree customer and product views, a digital twin of your key expertise, or data governance and operations, the use cases are innumerable if your organization has designed and developed a mature and flexible enterprise knowledge graph with advanced semantic foundations. EK’s depth of experience dating back over a decade spans all major industries, including financial services, insurance, pharmaceutical and health science, manufacturing, supply chain, and construction.
Our methodologies merge an organization’s own subject matter expertise and priorities with our deep knowledge of modeling standards, and the leading software solutions and the largest number of in-house experts in graphs, ontologies, and data modeling. This approach yields highly contextualized, leading edge enterprise knowledge graph solutions that can evolve and grow with an organization’s rapidly changing needs and use cases, delivering the best value approach that will actually answer an organization’s advanced needs at the enterprise level in production environments.
Why You Need an Enterprise Knowledge Graph
A well-designed and implemented knowledge graph, built specifically to address business needs and designed with strong semantic foundations can deliver an intelligence data layer for your organization, addressing a myriad of common business problems. It can break down organizational silos, helping to connect disparate sources of data, content, and other knowledge assets with context. This, in turn, can accelerate and improve your organization’s AI initiatives, enabling grounding for retrieval-augmented generation (RAG) and delivering precision and performance to Large Language Models (LLMs). Rather than struggling with “black box” AI products, enterprise knowledge graphs deliver “glass box,” explainable AI that is anchored in your organizational knowledge and can be understood and trusted by your employees.
A mature enterprise knowledge graph can drive an array of advanced use cases for your organization, ranging from enterprise-360 and personalization, to graph search, real-time fraud detection, supply chain and logistics management, entity resolution, regulatory compliance and data lineage traceability, internal expertise discovery, cybersecurity, and research and development. More importantly, an enterprise knowledge graph designed and built with the right foundations can serve a continuous and flexible stream of new use cases, expanding as your organization’s needs evolve.
What We Offer
As the leading enterprise knowledge graph services firm, grounded in over a decade of real world experience design, building, and supporting global graph initiatives, Enterprise Knowledge is equipped to support you at any stage of an engagement, from initial strategy to enterprise build and management. Our core services and offerings in this space include:
- Strategy and Roadmapping – Through consolidated workshops and customized advisory initiatives, we can help you understand your organization’s key business priorities, strategic goals, data inventory, and current technical capabilities. This will enable us to define your data management and governance vision, develop an effective work plan, and create a tailored roadmap designed to align with your knowledge graph goals and capabilities for data efforts.
- Modeling and Architectural Design – Our experts will help you design an enterprise ontology, or semantic data model, to model your domain and the unique components of your organization. The ontology can be used to transform existing data, capture and standardize implicit data, and generate missing data via inference and artificial intelligence. Our solutions architects can design comprehensive and efficient knowledge graph solutions that ensure data findability and customized models that answer the business questions your organization needs to answer.
- Knowledge Graph Accelerator – If you’re seeking to prove the value of knowledge graphs, we can deploy a customized team to quickly deliver a functioning prototype or proof of concept that answers your most burning use cases. One of our most utilized services, the knowledge graph accelerator includes substantial knowledge transfer and training so your team can be enabled to own the effort over time.
- Software Selection – The landscape of software options for enterprise knowledge graphs and data modeling is in a constant state of flux. With direct lines and views of future product roadmaps for the leading data management, metadata/taxonomy management, data cataloging and governance, and knowledge graph database solutions, we can help you make the right choices that will meet your current and future needs.
- Knowledge Graph University – Our customized training can be delivered live or remotely, delivering intensive, hands-on training and enablements tailored to your organization’s current state and future goals.
- Implementation and Integration – EK’s in-house, full-stack developers (our taxonomists, ontologists, architects, engineers, data scientists, and developers) implement knowledge graphs, machine learning, natural language processing (NLP), and semantic technologies for a range of public and commercial institutions. We help you effectively and incrementally develop and deliver the strategy, manage and assist in the execution of the implementation plan, and show results quickly and consistently.
- Governance, Scalability, and Operating Model – Many data initiatives fail because there’s no plan for scale, operationalization, and maintenance. EK’s governance and change management experts will work with your organization to ensure that our solutions will evolve and scale to fit your needs, developing robust processes to ensure data integrity, security, and evolution over time.
Learn More
Read more about our approach to enterprise knowledge graphs and data modeling with some articles from our knowledge base:
Listen in as we discuss the changing field on our award-winning podcast, Knowledge Cast:
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