Accelerate your data journey with our semantic data starter kits or custom-designed for your needs
Even within the same industry, every company features a distinct language that has evolved from its unique history, leadership, and diverse business mix. This specialized terminology shapes how executes its strategy, talks to its stakeholders and analyzes its performance. For example, one recruiting company may refer to "candidates" and another to "talent". Onboarding programs will often emphasize distinct cultural differences and how to "speak the language" as barriers to overcome to be successful.
Data often does not speak this language. Whether the company calls it "candidates" or "talent" doesn't matter if they use the same applicant tracking system with its own, different, language. Even data from an in-house software only captures the language at the time it was written.
Data teams are often forced to translate the data by developing an ad-hoc semantic layer; a data architecture that speaks the company's language and drives its reporting, analytics and data science initiatives. This improves the experience of consuming data but also slows development as the model grows, often requiring rework as the model and language shifts over time.
Instead of spending a year progressively building out a semantic layer with more and more reports, starter kits allow a data team to spend a month reshaping their existing raw data and the entire reporting suite just works. By using our starter kit development process, and steering it towards your specific language, you can accelerate your data journey by months or even years and have a perfect data model for LLMs to consume to answer natural language questions.
