Data at Work

The world of data and its many applications. This blog will help you learn how visionary companies are utilising external data to enhance business operations.

Roger Sundararaj

Roger Sundararaj
Data Scientist | Solidity Engineer at Quadrant
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Recent Posts

Combining mobile location & POI data to derive actionable intelligence

Location intelligence has revolutionised the way companies establish, operate and expand their business. From deciding an optimal location for a new store to performing footfall analysis to gauge competition in an area - location intelligence helps companies make faster, well-informed and profitable decisions.

One of the critical components of location intelligence is Point-of-Interest (POI) data. A POI indicates a specific location in an area of interest for a business. It could be a retail store, a hospital, a university, or a commercial building depending on what intel you need. POI data is vital to maximising returns on marketing and advertising, expanding a business to new areas, powering maps and navigation systems for logistics and supply chain and more.

To adequately leverage POI data, buyers must understand the type of data they need, the scale they need it at, and understand the best way to represent the acquired data to fit their use case. Here are the various ways to represent POI data, and how these methods can help answer questions to specific use cases and applications.

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Why businesses need to understand quality location data better

Data analysis plays a crucial role in detecting bad, misleading, and even fraudulent data. The data economy is full of such low-quality data, especially when dealing with location data.

Providing the highest-quality location data should be the goal of data providersand so this is an issue close to home for those of us playing this role in the industry - an issue to be taken seriously.

Let’s consider some of the various sources of location data, and what data feed characteristics tend to indicate about quality.

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The Uses of Location Data in the Financial Services Industry

Facing increased regulation and disruption from new technology, banks and financial institutions who want to maintain their competitive edge need to leverage on location data.

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