Author name: vaishali

Simplifying Retail Expansion In Tier II and III Indian Cities

In the dynamic realm of retail expansion, discovering new opportunities in smaller cities (like tier II and tier III in India) is like finding hidden treasures. But there’s a big problem—businesses often don’t have enough information about these places, hindering them from making informed decisions. In this article, we’ll explore how using location data can […]

Total Addressable Market

Total Addressable Market – What it is and How it’s Calculated?

In the world of business and entrepreneurship, one of the most crucial concepts to grasp is the Total Addressable Market (TAM). Understanding your TAM is like having a treasure map that can guide you to success in the competitive landscape of business. In this blog post, we’ll delve into what TAM is, why it’s important,

Feature Store – A Data Scientist’s Perspective

We have heard a lot about feature stores and how they are transforming the MLops space but all from the data engineering viewpoint. For a data scientist, the toolkit is rapidly expanding. Does it make sense for them to adopt one more? In the development stage of a machine learning project, data scientists do large

GeoIQ Achieves SOC 2 Type II Security Designation for Data Protection

GeoIQ, a leading provider of location data and intelligence solutions, has achieved the SOC 2 Type II security designation. This achievement highlights the company’s commitment to maintaining the highest standards of security and data protection, providing customers with peace of mind knowing their sensitive information is secure. What is SOC 2 Type II Security Designation?

Piramal Finance – Addressing Unserved User Instances With Alternate Data

Here’s an excerpt from a candid conversation between Devashish Fuloria, Co-founder and CEO at GeoIQ, and Markandey Upadhyay, Head-BIU at Piramal Finance. The Challenge: Reducing drop-offs and unserved user instances with alternate data sources Being in the lending business, we get all sorts of different loan applications. The traditional way to get more information about

Location Data Fueling Analytics Models for DMI Finance

In conversation with Aparna Manchanda: Head of Risk and Analytics at DMI Finance The Challenge DMI Finance was facing the challenge of getting quality alternate data to fuel their analytics models and understanding what data variables hold the best for credit profiling their non-traditional credit (NTC) users. The Solution They decided to partner with GeoIQ

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