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.

User behaviour and POI data quality in Geolancer – Quadrant quarterly hackathon

Earlier this year, we launched the public beta test of our proprietary POI collection and verification app, Geolancer. Aimed at providing up-to-date and manually-verified POI datasets, Geolancer is already helping ride sharing and real estate companies enrich their platforms with a hyper-accurate POI data feed. In this article, we provide a peek behind the curtain and explain how we maintain the high quality of POI data in Geolancer.

Read More

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.

Read More

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.

Read More

Geospatial Market Map for APAC - 2021

The intricate web of connected devices and applications produces a lot of location data. Used in the right manner, accurate and timely geospatial intelligence can be leveraged to boost operational efficiency,  improve government and public services, increase marketing and advertising ROI, and expand services to underserved areas.

Read More

Common Problems With Location Data and How to Fix Them

Geospatial data have the potential to uncover valuable insights about the physical world. It can be used by governments to save lives and influence public welfare. Businesses can use it to drive consumer acquisition by capturing the attention of the right people at the right time. Anonymized location data has a lot of value to offer without breaching people’s privacy.

Read More