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.

Using location data to scale ad-tech and measure OOH performance

Offline or online, advertising is all about getting the right message out to the right people at the right time, and mobile location data can be instrumental to your goals.

Marketing agencies and teams across various sectors are recognizing the value of mobile location data. They are using it to build targeted campaigns, gauge competition, measure campaign performance, and optimize spending. Mobile location data can help businesses maximize ROI on their marketing and advertising spending, especially in offline campaigns that are harder to measure than digital efforts.

Image attribution to Freepik

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How to use location data in transportation and mobility

Transportation companies need location-based intelligence to gauge demand, support operations, adapt to changing public requirements, and ensure safety. Reliable and accurate mobile location data is key to studying mobility trends that can reveal actionable insights for the betterment of infrastructure and applications in supply chain, ride sharing, public transport, traffic management, and other use cases.

Companies also need location data to assess potential for usage in growing urban spaces to improve availability and return-on-investment. More recently, due to the Covid-19 pandemic, people’s movement patterns have changed drastically. The new normal with social distancing requires tweaking existing forms of transportation and related services. All these make mobile location datasets and corresponding mobility analysis more valuable than ever, both in the private and public sector.

Image attribution: Macrovector via Freepik

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Reducing Data Preparation Costs & Increasing ROI with Mobile Location Overlap Analysis

The location data industry is using multiple sources of data with a varying degree of quality. This means suppliers often have a significant amount of overlapping records. While this does not impact quality or validity of the data, it poses a challenge for buyers who need unique values for their analyses.

Most off-the-shelf vendors leave this unaddressed as it makes their data volumes appear larger. However, when buyers prepare the data for analysis by removing overlaps, they often see a significant drop in overall volumes. 

Image attribution: Storyset via Freepik

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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.

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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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