AI and TMT

New Ways of Operating & Interacting

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Digitization is disrupting the way customers interact with companies and modern customer expect speed, responsiveness and streamlined experience – regardless of the channel they use to interact with businesses. With Gartner forecasting that 20.4 billion connected devices will be in use worldwide by 2020; more and more Telco companies (small, medium & large) are capitalizing on AI and ML, by leveraging the vast amounts of data collected over the years from their massive customer bases, to build more meaningful relationship , deliver relevant customer experiences and to improve their infrastructure.

AI IN ACTION

OUR SELECTED CUSTOMER SUCCESS STORIES

Interactive

Interface Reveal Trends

View forecasts & discover

Cross-sell Opportunities

Reduced

Manual Labor

Strong

Data Extraction & Loading Capabilities

Rapid Data Integration & Dashboards

Descriptive Analytics on Semi-structured Data

World’s top-2 computer with $44 Bn in revenue had sales reports coming in from all over the world in excel files. Aggregating these reports and creating a unified view was a dull and time taking job. It was a struggled to reveal true sales insights from onerous Excel spreadsheets. Quadratyx created a platform to rapidly unify tens of thousands of such files without much domain help, built:

4 user friendly dashboards – for sales data with geography view, product category, customer segment, Y-O-Y percentage growth with top customers & products.
Tableau & ETL tool was used for integration and transformation of the data into structured shape.
Reduce human dependency on gathering and loading data

Setting Up Enterprise-wide KPI Design

Descriptive Analytics

A well-defined KPI acts like a guidepost. Our client, India’s largest mobile manufacturer ran a huge supply-chain and with in a short span of time business grew rapidly which created problems of inefficient operations and poor performance. Each department were using its own data sources and had their own KPIs. They wanted to build a KPI structure at the enterprise level. While this project needed to design a comprehensive top down KPI structure for the enterprise, deciding on what to track was one of the hardest parts. The knowledge of Quadratyx, as well as coordinated efforts with individual department heads and the “data SMEs” within the departments, made it possible to overcome these challenges and lead the project to success.

Defined process wise KPI’s

Provided Detailed Architecture

To run the system

Data Sacrosanct

Eliminated manipulation of data

Improve

Programming Strategy

Target

Right Audience

Analyze the

Impact & ROI

Offer/design of

Custom Products

Automated Forecasting of TV Audience

Enterprise-wide KPI Design

Our client is a leading media research company and has massive TV program consumption information from heterogeneous sources of data. Besides measuring and forecasting television viewership, our client also monitors advertising expenditure.

Quadratyx implimented descriptive analytics to know the future audience of a show as precisely as possible to optimize the placement of an ad. Generated insights around TV consumption patterns, using parameters like:

Program performance
Promotional support
Audience engagement
Social/on-line behavior

But wait, there’s lot more!

Better underwrite the risk.
Determine the most relevant customer offerings.
Leverage ‘Internet of Things’ to better service policyholders.
Gain more insight into the drivers of profitability in the business.
Manage risks in a better way, while ensuring regulatory compliance.
Mitigate losses and alert policyholders pro-actively, wherever possible.
Use data and analytics to acquire customers with the same efficacy over various channels.

AI and TMT

New Ways of Operating & Interacting

AI IN ACTION

OUR SELECTED CUSTOMER SUCCESS STORIES

Rapid Data Integration & Dashboards

Descriptive Analytics on Semi-structured Data

Setting Up Enterprise-wide KPI Design

Descriptive Analytics

Automated Forecasting of TV Audience

Enterprise-wide KPI Design

But wait, there’s lot more!

Find out more on how to make AI work for your Insurance Company

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