Transform any amount of data into intelligent and actionable insights

banner section picture

Data Analytics

Our Offerings

About us picture

Analyzing raw data involves a broad range of techniques. Extendime provides advanced data architectures, data solutions, and managed data analytics services for businesses with varying levels of data maturity and enables organizations to conceptualize and enforce a well-planned data program across numerous domains and applications.

Help listing

Business Intelligence

Help listing

Data Management for Enterprises

Help listing

Analysis and Visualization of Data

Help listing

Data Engineering

Help listing

Analytics Center of Excellence

Help listing

Outsourcing data analytics

Our Approach

counter picture

01

Creating Platform

Using cloud computing, adaptable architectures, and cutting-edge technology to modernize your analytics

counter picture

02

Data Quality

Enhancing it through reporting, metric development, business requirements, and data reconciliation

counter picture

03

Discover Business Values

Discovering particular opportunities for revenue growth and productivity enhancements based on analytics and creating plans with a range of options

counter picture

04

Management

Helping organizations create the infrastructure, governance, and capabilities they need to harness the full power of data and advanced analytics

Services

card background picture

Data Science

internet of things picture

You deserve a unique data solution!  

card background picture

Machine Learning

internet of things picture

Get your business up and running with tailor-made machine learning solutions

card background picture

Artificial Intelligence

internet of things picture

Bringing AI to the masses through a simplified interface  

card background picture

Internet of Things

internet of things picture

Generating insights and applications from iot devices  

card background picture

App Development

internet of things picture

We use resilient development techniques to create top-notch apps

card background picture

Cloud Services

internet of things picture

Our cloud-based solutions are easy to deploy and manage  

Case Studies

case

case study

Global Structured Finance LTD | Case Study

Global Structured Finance Ltd (GSF) provides loan eligibility evaluation for banks, trusts, credit unions, and private lenders. Expertise includes cash flow analysis, Treasury balance sheet management, liquidity risk analysis, and hedge effectiveness analysis. Opportunity: They aimed to develop an AI-centric platform that can evaluate loans, assess credit risks, manage assets and liabilities, and generate reports. Approach: AutoML technology has been used to develop an AI-driven web platform. A Django backend and Angular front end were used to implement the solution. It also involves developing Machine Learning (ML) algorithms using H2O AutoML to calculate the Probability of Default (PD), Expected Loss…

case

case study

Z-Enviro Industries | Case Study

Z-Enviro Industries Pvt. Ltd is one of the largest electronics recyclers in Hyderabad, with a recycling capacity of 10,000 tons per year. It was founded in 1999 as Famous Trading Company and mainly dealt with electronic scrap. The company also imported used computers from China, Hong Kong, Malaysia, and other countries. Currently, Z Enviro, as a firm, is working at the pan-India level and provides complete end-life management of electronic equipment, providing a one-stop, cost-effective solution. Opportunity: The company issued invoices to LG, Samsung, etc. in order to process e-waste for its clients. The invoice must be accompanied by images…

case

case study

Battery Management System (BMS) | Case Study

The Battery Management System (BMS) is a system that uses artificial intelligence and is designed to predict the remaining battery life of a device. Opportunity: There are many automotive and stationary batteries without any management system, so their capacity declines abruptly, overloading the connected batteries. Approach: The battery is connected to an IoT device that measures current, voltage, and temperature. We used Random forest to extract some features and predict SOH. Using the LSTM time series model, we forecasted SOH and RuC up to 100 cycles later. Results: There were positive results from the studies. To produce more accurate results,…

Bringing together experience & innovation.