Data as a Service
Any data, anywhere, for anyone
Empowers Anyone with Self-Service Analytics
Direct Access to Any Data, Anywhere
Today's enterprise data stacks are a mix of diverse data sources that are constantly evolving. Knowi natively integrates to a wide range of these sources including SQL, NoSQL, APIs, and files, to provide data engineers and data scientists secure access to any data instantly
Dynamic Data Blending
With storage optimized for specific data types and use cases, data is rarely sourced from a single database anymore. Knowi allows users to blend data across multiple sources, on the fly, including munging structured and unstructured data.
Securely Curated Datasets
While you want data access to be flexible, it also must be secure and governed to ensure people are accessing the right data. Knowi includes a number of enterprise-level data security features that enable admins to govern access and curate datasets.
Self-Service Data Access
With a Data-as-a-Service solution, Data engineers create virtual datasets by querying and blending data from source systems to create the widest possible dataset. These virtual datasets are exposed to the business users, data scientist, or downstream systems via an API. Users can start slicing and dicing the data using their favorite BI or Data Science tools.
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Rapidly Create the Widest Possible Datasets
Create Aggregations or Derived New Data on the Fly
Fine-grained Data Security
Share Data Your Way
Optional Presentation Layer
Frequently Asked Questions
Questions and answers about search-based analytics on Knowi
A lot of business users have some data literacy but not the deep syntax knowledge required to analyze data themselves. With search-based analytics, your team (or customers if you embed) can explore the data by entering questions and getting back actionable data. This will eliminate the need to go to the data science team every time someone wants to explore the business metrics or statistics.
In short, yes. And if you are employing a complex use case we recommend it. This usually involves working with the Knowi team of solution engineers to build out custom associations and synonyms for the natural language processing engine that powers your search-based analytics.