A few weeks ago, we discussed the seven most important parameters for data buyers to consider before purchasing location data. One of those factors is the health and quality of data. Is the data complete, accurate, and usable? Does it need additional preparation? How many unique values does the dataset actually contain?
Quadrant, a global leader in location data and intelligence solutions, is delighted to announce its new Point-of-Interest (POI) Data-as-a-Service.
In today's increasingly complex digital economy, many modern applications and systems depend on POI data. From our engagements with customers across multiple industries, we have found that accurate POI data is a critical defining factor of customer satisfaction and operational efficiency.
Companies in the location data industry like to highlight the numerous uses and benefits of their data. However, the topic of how to select a data vendor remains largely undiscussed. As the old adage goes, ‘garbage in, garbage out’: low quality data leads to unsubstantiated, weak insights, and ultimately to wrong decisions. To ensure that the data you acquire helps you solve your business challenges, you need to evaluate data quality.
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