ScratchD2 understands the metadata that defines these systems to quickly find actionable intelligence across silos of data. This approach empowers users to make data driven decisions based on real-time assessment of the system’s current and simulated capabilities.
Percentage of users who use the search bar
Percentage of time search works as initially desired
Percentage of time user searches on product category (returning tons of results)
Average number of iterations on keyword searches it takes to get to desired info
Precise discovery driven by the metadata relationships.
Use terms and ranges to rapidly produce accurate results.
Look for trends, limits, etc.
Primary model. Though we also allow for on-premise installation.
Context driven. New approach that surpasses generalized data algorithms.
Streamlined, technology enabled and simple. Ask us for more information.
We work with Digital Twin, eCommerce, and Security platforms and related technologies.