Base22: Increased Agility and Greater Insights with a Linked Data Platform

Cody Burleson, Product Manager & CTO

Joe: Our uniqueness is expressed most notably through the intersection of data science and user experience. We leverage modern and standards-based graph technologies to help solve the back-end data problems, but then combine that with our expertise in systems integration and user experience to ensure that business insights are actually delivered. Data is only valuable when it is usable and useful to the business users who need it. By helping developers create rich digital experiences for the knowledge graph in a low code manner, we’re helping businesses find new and exciting uses for their data with increased agility.

Cody: We’re also actively working to partner with key players in the industry to expand the scope of implementation choices that our customers have. By working to achieve interoperability with a greater number of traditional systems and the newer cloud-native services, our customers are increasingly able to leverage their existing legacy investments while also using a step-wise approach to modernization.

Could you share a client success story?

Cody: One of our clients, an engineering partner that supplies to automobile manufacturers, followed their vision for a semantic data lake architecture. They’re unifying multiple data sources and making them accessible by different applications through a common enterprise ontology or vocabulary. One of the applications, built with Carbon LDP, helps their customer service reps trace potential manufacturing problems across various stages in the supply chain. Visual interfaces empower those reps to construct advanced searches without writing technical queries. We created a faceted search where all the attributes needed for the search are automatically generated based on the underlying data model. They simply drag and drop facets to assemble a query. The user interface changes dynamically when the underlying data model changes so that no additional programming is required when new classes, properties, and relationships are added. As they provision more relational databases into the knowledge graph to expand the data lake, the capabilities of the application expands accordingly—dynamically and with a reduced need to recode anything.

What does the future hold for the company?

Cody: We’re looking to integrate Carbon LDP with cloud databases like Amazon Neptune so that our clients can realize the benefits of cloud-native solutions such as ‘pay per use’ pricing, stability, scalability, elasticity, and automation. We’re also working to improve our real-time notification subsystem so that Carbon applications (mobile apps, for example) can respond in real time to changes in data. We’ll be incorporating new features for security (authentication and authorization) to better handle the demands of mission-critical systems, and to integrate Carbon with common corporate user repositories like LDAP. We’re enhancing the Carbon LDP Workbench administrative console to provide improved visual interfaces and widgets that can be reused to reduce the need for extra development. Our vision is to expose commonly needed business-friendly controls and widgets in the Workbench in a way that allows developers to reuse them in their own business applications.

Joe: We’re helping organizations modernize and adapt to the new market forces, which are primarily technology driven. With an enterprise knowledge graph, businesses can eliminate data silos and with Carbon LDP as a low code platform for building applications, they can create business solutions faster, with less complexity, and with more control.