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Knowi Product Updates 2022 Q2

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We’ve been working heads down here at Knowi to bring you new features and product enhancements– making it even easier for you to get the most out of your data.

We can’t wait to get you up to speed on what we’ve been up to, so let’s get started!

Introducing DBWrite

DBWrite illustration

Currently with Knowi, you can define datasets that span across multiple datasources without moving the raw data.

Now, you can store these datasets into your own data warehouse. This drastically simplifies your stack, eliminating the need for ELT processes, data transporters, transformers, catalogs etc.

Knowi connects to Slack and Microsoft Teams for ad-hoc visualisations in real-time

Ask Questions in Plain English

Change how your team interacts with data, with the ability to ask ad-hoc questions in plain english in Slack or MS Teams and get your data answers back directly, along with other powerful collaboration features.

You can also embed our Search bar into your applications and provide search based analytics capabilities to your customers.

UI Revamp

We’ve completely revamped our User Interface over the last year. From a new query interface to Dataset Management to a new visualization interface and a whole load more of improvements to give you a slick, functional user experience.

Knowi new User Interface

New Integrations

From CloudWatch, Azure, Athena to a whole array of cloud services are now supported.

Native Integrations

More Goodies

UI for Runtime tokens, Management API updates, Cache support for Direct Queries, Filter Updates with Key/Label and other options

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Want to talk to a real human?

We’d love to hear from you.

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Sherry Quach

Sherry Quach

Sherry is a Data Analyst at Knowi having previously worked at the California Emerging Infections Program analyzing public health infectious disease data. Sherry is skilled in data visualizations, SQL, data analysis, and business intelligence. Sherry holds a BS, Molecular and Cellular Biology from University of California, Berkeley and has contributed to research papers including Characteristics and Maternal and Birth Outcomes of Hospitalized Pregnant Women with Laboratory-Confirmed COVID-19 — COVID-NET, 13 States and COVID-19–Associated Hospitalizations Among Health Care Personnel — COVID-NET, 13 States.

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Connect your databases, run cross-source joins, and ask questions in plain English. No warehouse required.

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Connect your databases, query across sources, and run AI on-premises. No warehouse required.
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