Ask, Chat, and Act with data

Use Natural Language prompts to understand the “what”, the “why”, and the “what- next” from your data without BI tools and consultants.

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Did you know that the global adoption rate of business intelligence tools is just 26%?​
Here's why?

1. Too many dashboard
‍
‍​​Business users have to go to ​multiple dashboards for different ​information.

​​What if, users could ask questions from​ within Teams and Slack to get ​answers to all their data questions.​

2. Fixed insights​​

Business users have access to limited insights as configured by data analysts.​​​

What if, users could ask questions beyond what data analysts have configured for.

3.  Limited capabilities

‍​​Most dashboards only provide views of “what” has happened, and complex answers require long set up time.​​​

What if, user could ask “what”, “why”, and "what-next" questions without additional set up time.​

With Zinger’s GenAI powered ”Query Automation Engine”  user can​
- have multi-turn conversation with data using teams and slack interface​
‍- to get responses to “what”, “why”, and ”what-next” questions​
‍- without requesting new views and formulas to be created by data analyst​

Zinger’s GenAI Powered "Insights Advisor"

Business users can enhance their data analysis capabilities:
Ask natural language questions
  • On specific data points
  • KPIs that are not pre-calculated
  • Trends requiring multiple data points
Have multi-turn conversations
  • Wherein the engine asks clarifying questions
  • Retaining context of past interactions
  • And personalize by user profile
Without having to have pre-calculated fields
  • The engine creates calculations from KPI descriptions
  • Specified in plain text in data dictionary
  • Or formula descriptions given by the end user
With Zinger’s GenAI powered ”Query Automation Engine”  user can​
- have multi-turn conversation with data using teams and slack interface​
‍- to get responses to “what”, “why”, and ”what-next” questions​
‍- without requesting new views and formulas to be created by data analyst​

Interactive Data Responses and Insights

The system responds with comprehensive and interactive visualizations:
Responds with graphs and tables
  • Single or multiple interactive graphs as required
  • Intelligently picks the right graph type
  • Changes graph type with user prompts
Provides text-based insights
  • Detailing observations (What)
  • Root cause analysis (Why)
  • Conclusions (What next)
Aids decision recommendation
  • Using Machine Learning algorithms
  • Rules based approach
  • Past action precedence
With Zinger’s GenAI powered ”Query Automation Engine”  user can​
- have multi-turn conversation with data using teams and slack interface​
‍- to get responses to “what”, “why”, and ”what-next” questions​
‍- without requesting new views and formulas to be created by data analyst​

Ensuring Factual Integrity

Maintain accuracy and reliability through robust mechanisms:
Providing access to view
  • SQL code generated from free-text prompts
  • Data frame used from the master table
  • Semantic understanding on alternate utterances
Deploying critical
  • Fact checker models
  • Anomaly detection
  • Auto-learning from feedback
Allowing to
  • Pin repetitive questions for deterministic outputs
  • Workflows to escalate data and hallucination issues
  • Setting up alerts for critical data events

How does it work?​

How do we compare with our competitors?​

Connect with our experts for a free consultation and a personalized demo.‍

We'll share more about Conversational AI technology and give access to live webinars.
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