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.

Retail after the pandemic – Using POI data to revitalise the retail industry

The Covid-19 pandemic and following global lockdowns were devastating for the retail industry. Activities like shopping and leisure quickly fell as people’s focus shifted to dealing with a pandemic. Essential retail like grocery, drugstores, and homeware had to adapt quickly to accommodate the needs of the hour, while non-essential retail segments of fashion, sports, beauty, luxury, etc. went into complete disarray.

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Performing Extrapolation on Location Data to Derive Relevant Insights

Location data is collected from multiple sources of varying quality GPS signals from mobile devices, beacons, and WIFI connections, the notorious Bidstream, and more. In most cases, even genuine location data cannot represent the entire population of the region. This discrepancy can be attributed to smartphone penetration in the country, app-specific demographic variations, hardware inconsistencies, and sources of location data.

To perform meaningful analysis that accounts for mobility patterns and other trends in a larger region, data scientists use projection models to make an accurate estimation of a region’s population and normalise data counts to fit the use case. This is called data extrapolation.

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Geolancer launch yields 50,000+ POIs in a month across APAC

Geolancer, one of our biggest launches of the year, is the cornerstone of our long-term POI data strategy. Geolancer went live a little over a month ago, and it is time to look at the results.

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Methods of Data Delivery for Mobile Location Data

One factor to consider while evaluating location data for purchase is data delivery. Storage costs for big data sets can be substantial, so it is important to get the delivery right. The method of data delivery should take your unique use case into account, as well as the platforms you use to work with the data.

Before making a purchase decision, you should ask your vendor if they are flexible enough to use a delivery method that is in line with your requirements.

In this post, we will discuss the various methods of data delivery and how Quadrant delivers data.

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Buying POI Data: Best Practices for Vendor Selection

High-quality Point-of-Interest (POI) data is the backbone of all location-based businesses and applications. Your customers rely on you to find day-to-day services such as transportation, food delivery, online shopping, and more. The speed, accuracy, and reliability in providing these services can be a determining factor in gaining and retaining customers.

But how do you ensure that the data powering your business are of good quality and up to date?

There are numerous data providers that claim to offer vast, accurate, and ideal POI datasets, but how do you correctly assess them? In this post, we will discuss a few factors to consider before buying POI data. Use them as a checklist for your purchase decision while selecting a data vendor!

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