Enrich Business Insights through Location Intelligence
A reference to “location” is present in at least 80% of business data collected; yet, not many organizations are incorporating Location Intelligence into their Analytics mix. If they did, they could glean deeper insights into where customers are located, what location-based patterns are related to risk and which markets offer the greatest potential for growth.
RSC clients have used Location Data and Analytics methods to:
- Support Data Science & AI activities by providing additional location-based features to improve modeling efforts.
- Augment internal data with external features to generate new insights to affect business outcomes.
- Gain access to hundreds of location-based datasets that provide a lens into risk, demographics, property attributes, natural events, weather and more.
You’re a good candidate for location data and analytics methods if you’re looking to enhance the following areas:
- Customer Analytics by understanding your customers better based on their geodemographics, micro-segmentation, spend potential, and buying patterns.
- Risk Management by providing a holistic view of risk across your business portfolio.
- Site Planning by using location data and analytics to determine the best places for expanding your physical footprint.
- Data Quality by consolidating location-based data to provide a comprehensive view of your customer, of a vendor/partner, or of your risk profile.
