Is Apple a fruit or a computer company? Understanding what a user means when searching for such ambiguous terms is easy for humans, but often difficult for machines. Cuddle is able to disambiguate search terms and make intelligent assumptions based on the intent of the user and understanding the context of their questions.
Questions like ‘Sales yesterday’ or ‘Sales on the last Friday of the past month’ are perfect examples of time-periods that are easy for humans to understand but hard for machines.
In a natural language question, time-period is often complicated or completely missed. While enterprise data is commonly available with a time-stamp, deciphering the time-period or time interval in a free-text question is challenging. Cuddle accurately understands vaguely and implicitly conveyed time-related concepts in users’ questions and delivers the most relevant answers.
Business users often need to ask complex conditional questions (less-than, greater-than) to analyse their business performance. Cuddle’s ASK can extract conditional information from a natural language question and apply those conditions on the requested measures
Want to know your top 3 sales reps for the month? Looking for top and bottom filters is another common question users ask to understand the gainers and drainers in their business areas. Cuddle understands such ‘ranking’ questions containing complex data filters and delivers answers to such questions.
Imagine asking “Which brand sold the most in West” and getting an interactive visualization as an answer. With Cuddle, you ask questions in plain English and get the right answers.
Cuddle ASK provides answers to questions in less than 5 seconds on an average. You are no more waiting in line to get that one number that you badly need from the analyst or IT teams.
Cuddle ASK’s AI & Machine Learning capabilities make it smarter over time. Cuddle ASK learns by capturing explicit and implicit feedback from users on the answers presented.
Cuddle ASK determines answers to a user question based on their authorized data universe. Cuddle’s fine-grained authorization control at row, column, and cell-level ensures data security.
Cuddle ASK is built as a learning platform from the ground up; making it work on any dataset without a need for any complex set up. Point Cuddle to your structured data and start asking questions right away!
Every answer leaves a user with follow up questions in their mind. Cuddle ASK provides the associated story and context with answers automatically to provide a holistic picture of the state of the business.
You no longer need to worry if the information on Sales and Margins are present in the same data table to analyze the numbers together. Cuddle ASK enables an integrated view across all data sources.
Cuddle ASK understands the user question and determines the best ways to represent the information based on data type, data size, dimensions, patterns, and intent of the question asked.
Talk to Cuddle to get an answer to your business question! Try asking Cuddle, “Which are the top 3 stores on margins” and get accurate responses within seconds.