DvSum CADDI makes it effortless to interact with your data, understand it, and extract reliable insights.
CADDI – DvSum Conversational Analytics for Data Driven Insights – makes it easy to interact with your data. Try it today!
Unleash your data agility!
Natural language querying
Traditional BI tools require SQL or some technical skills. With DvSum, just talk naturally. SQL or other technical skills are not required. CADDI understands how you might ask a question. You don’t have to ask in a constrained way such as “Sort Product Name by Sum of Sales and Date = 4Q22- 1Q23”. Just ask “Which products had the most revenue the past two quarters?” This makes the data more accessible to a wider range of users who may not be as familiar with the technical jargon or data structures.
Automated analysis & reporting
CADDI can be used to generate automated reports based on specific queries, saving time and effort for employees who would otherwise need to manually compile data and create reports. It can also be trained to perform automated data analysis and provide insights based on trends, patterns, and correlations in the data. This can help you make data-driven decisions faster and more efficiently.
CADDI analyzes a user's past behavior and data consumption patterns to make personalized recommendations for relevant data sources or insights.
Business glossary of data definitions & business rules
Upload your current list of data domains, business terms, definitions. Using its AI-enabled classification algorithms, DvSum will automatically link the physical data elements to the glossary terms and recommend enrichments to the business glossary.
Data preparation recommendations for analytics
Data is semantically tagged. Data relationships are inferred and ML algorithms generate cleansing recommendations. Data analysts and data scientists can quickly find the relevant data, understand its contents and quality and create their data cleansing recipe.
How does it work?
DvSum connects to up to 200+ different types of on-premise and cloud data sources including databases, data lakes, reports, and enterprise applications.
It scans your data to extract metadata and uses ML to classify, link your data assets, and sets data quality rules.
Users query and consume the insights via DvSum’s AI-powerd chat, with queries going to the underlying catalog. The usage and suggestions continuously curates the catalog.
DvSum continuously monitors your data and alerts on unexpected changes in data quality, volume, and distribution.
DvSum handles all your data - 200+ types!
Enterprise and Cloud Apps
On-prem, Cloud, SQL, NoSQL
Do real work with data.world datasets
Data Agility Unleashed.
Discover. Monitor. Govern.