Webinars

The arrival of alternative energy vehicles represents the biggest disruption to the fuel market in many years. The main challenge for today’s charging network companies and real estate industry is how to properly develop their EV strategy, where to start, and what tools and data are available to help them in their decision-making.

For years, the retail industry has relied on Annual Average Daily Traffic (AADT), but that data source has lived passed its usefulness. While it may be sufficient for site selection, it is not for operational analytics. The new standard for today and the future is using Detailed Historical Traffic (DHT). It leverages a more timely, more accurate, and higher frequency source: probe data.

The arrival of alternative energy vehicles represents the biggest disruption to the refueling market in many years. Location technology and data are now key to many data-driven processes in various industries and is now proven to be a key differentiator in building an optimal EV strategy.

In the past few years, we have seen a change in how people and goods move around urban and suburban areas. Cities needs to find innovative ways to improve congestion, improve life of citizens and optimize the transport of goods. A better processing, collection and analysis of real-time location-based data may just be the solution.

Location data is a significant component of sizing up the value of a property, whether you are scoping a site for a new brick-and-mortar outlet, expanding a warehouse facility, or more. Join us to learn how Korem can help you efficiently and effectively measure property values with user-friendly, “single view” location services and more.

Performing a cloud “lift and shift” of data is both a compute-intensive process and costly. Therefore, converting these applications to cloud-native technologies is not only a way to provide more agility and scalability to the business, but will also yield significant cost optimization.

Diverse data can play a role in substantially differentiating competitors that are looking for an edge. As every company is now a “data company,” integrating disparate data sources is essential. The data as a service (DaaS) model addresses the challenges related to finding or sourcing third-party data to make this data more actionable and discoverable.

What if you could learn more about who interacts with your branch banks, when they visit, and for which services. What if you could identify the audience segment by age, income, and other variables that would allow you to target directly to them on a more personalized level?

By utilizing precision geospatial data, P&C insurers can increase the level of modeling granularity and accuracy, beyond traditional techniques, which have often used large postal or demographic areas alone. There are, however, myriad data sets available for property locations and attributes such as building footprints, age of the building, next generation high-definition flood risk and terrain data in raster format, traffic profiles, and others.

Traditionally, retailers have leveraged demographic and socio-economic indicators to analyze and predict store sales. While this was adequate five or ten years ago, this approach no longer offers enough substantive information for sales projections, pricing, merchandizing or competitive intelligence.

Over-pricing policies could trigger the loss of high-quality, lower risk customers, while underpricing may cause high-risk and low margin customers to be retained. More accurately and efficiently identifying policyholders is critical to maintaining a healthy and balanced book of business. However, P&C platforms such as Guidewire, Duck Creek or EIS may lack advanced geoprocessing capabilities essential for accurately assessing risk. Integration with these platforms poses challenges.

This webinar will provide attendees with an overview of the Geocoding Connector, so that they can benefit from Precisely highly accurate location information and comprehensive coverage, without costly platform changes or replacement.

Learn how to prioritize network deployments (pre-provisioning) and target existing or prospective customers who could benefit from the new services.  We will discuss fully or semi-automated pre-qualification steps to confirm customers’ eligibility for a specific service or product.

The need for immediate access to traffic data is increasing as the demand for narrower time windows and to improve the customer experience is required by fleet managers for both long-haul and local delivery.

Speakers will discuss geocoding engines and cloud data platforms such as Databricks for reaping value from the variety and volume of location data.

Take a data-driven approach to examine the most pressing needs of the real estate analyst.

Get an overview of the top seven most common pitfalls that are overlooked by organizations during the data selection and buying process.

Foursquare and Korem will present information on how Foursquare’s Visits and Places data provides very detailed location-based information about mobility and business points of interest.

Every business event happens somewhere, from credit card transactions to pizza deliveries. That’s why geospatial data is essential for understanding relationships between people, places and things — but until now, the technology involved has been complex.

Encouraging positive improvements in driving behavior result in safer, eco-friendly trips, thus helping organizations achieve safety and sustainability goals.

Leverage geospatial technology to support the deployment of 5G fixed wireless or mmWave.

Reducing friction at key points in the shopper journey is critical to reduce cart abandonment. Learn how to achieve this goal with geospatial technology.

Assess a more factual level of risk associated with every insurance policy issued.

Overcome the mixed GIS environment challenge with the right tools and accurate data.