Insight is a Continuum
Not an Occasion
37%
Companies using big dat have been successful in
deriving data-driven insights
10%
Enterprises believe that they have embedded data and
analytics into all of their processes & decision making
Traditional Analytics vs. MECBot
MECBot's Augmented Data Fabric Expedites Data-to-Dollar Conversion and Reduces Time-to-Market
Create Domain Model
Traditional Data Team's
Data-First Approach
MECBot's
Business-First Approach
Request For Data
Traditional Data Team's
Data-First Approach
MECBot's
Business-First Approach
Deliver Insights And Outcomes
Traditional Data Team's
Data-First Approach
MECBot's Data Team's
Business-First Approach
Total duration to deliver insights for a usecase
The above 3 steps need to be iterated from the scratch every time a new model is required
Total duration to complete a project
Once MECBot has prepared your data as per your business domain, you can kickstart your analytics straightaway. MECBot can reuse existing views as well to get you started on the same day instead of waiting for months to get it up and running.
DIFFERENTIATORS
Domain Ontology
MECBot’s Domain Ontology provides a centralized and standardized way of sourcing and organizing data with respect to the domain of the business, making it easy to navigate complex datasets. By setting up domain rules, establishing context and relationships, and creating a common vocabulary for all data users, it allows data scientists and application builders to work from a single source of truth that is secure and remains hydrated in real-time.
Inside MECBot
What makes MECBot the best in the game? Here’s the blueprint of our architecture for business-ready insights on enterprise & cloud environments.
Interested in working with these state of the art technologies?
We Are an Innovation-Driven Organization in Embedded Analytics
Here are Our Top Patents in Data Science
Data Folding Technique
A system & method for pre-processing, storing & retrieving data based on its type at the time of storage
Advanced Summarization on
Plurality of Sentiments
Plurality of Sentiments
A method for summarizing content around sentiments of an entity
Get Started with MECBot
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