Frequently Asked Questions
Questions and answers about search-based analytics on Knowi
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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.
Yes, the Knowi platform features full embedding with either iframes or javascript. It also features white-labeling so you can replace all Knowi branding with your own. With this option, you can let your clients enter queries in plain English and get back actionable data in real time.
Frequently Asked Questions
Questions and answers about search-based analytics on Knowi
aaaa
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.
Yes, the Knowi platform features full embedding with either iframes or javascript. It also features white-labeling so you can replace all Knowi branding with your own. With this option, you can let your clients enter queries in plain English and get back actionable data in real time.
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To be a data-driven organization, your team needs open access to analytics. Your data scientists, data engineers, and non-technical decision makers all need to be able to ask questions and get back real data-driven answers. Historically, it has been difficult for non-technical users to get even basic analytics information about how their company is doing. Company decision makes often dont have time to learn a complex business intelligence tool. That’s where natural language processing (NLP) can make a huge difference.
With NLP-based querying, top level decision makers, subject matter experts (SMEs) and anyone else who needs can run analytics queries. Self-service business intelligence combines AI analytics and NLP to remove the barriers to accessing analytics which significantly increases the potential of your data.
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