Chatbot applications in analytics

[Kamrul Hasan Bhuiyan]

Chatbot applications in analytics
Personal assistants like Siri and Alexa are a complex type of chatbot designed to respond to a wide range of scenarios and queries, from current weather and news updates to personal calendars, music selections and random questions. Chatbots with a specific purpose, like routing customer complaints or inquiries, are designed with a more limited scope of potential answers and replies.

At SAS, we're developing different ways to incorporate chatbots into business dashboards or analytics platforms. These capabilities have the potential to expand the audience for analytics results and attract new and less technical users.

"Chatbots are a key technology that could allow people to consume analytics without realizing that's what they're doing," says Oliver Schabenberger, SAS Executive Vice President, Chief Operating Officer and Chief Technology Officer. "Chatbots create a humanlike interaction that makes results accessible to all."

Introducing chatbot functionality into analytics solutions provides a number of capabilities that marry analytics with conversational capabilities:

The chatbot can automatically query and describe large corporate or public data sets.
Users can request summarized or analyzed results verbally by saying, for instance, "Which marketing campaigns are generating the most leads this quarter?"
The chatbot can provide the answer and then offer additional information or suggest a related report to view based on patterns in the data and in previous related queries.
You can ask the chatbot to share the results with others, and that will happen automatically.
You can even combine chatbots with specialized analytics solutions to perform explicit tasks within the application.

[Raisa]

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[Dipty Rahman]

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