Webinars

Discover how location analytics and geographic visualization tools can help you create a cost-effective, resilient EV infrastructure while staying ahead of the latest trends in EV network branding strategies.

Location intelligence enables retailers to access geospatial data, enhancing their business intelligence, analytics, and customer experience while gaining a competitive edge. In today’s data-driven world, decisions should be grounded in facts rather than intuition. Geospatial data offers solutions to various retail challenges, from site location analysis and geomarketing to staffing and sales forecasting.

To achieve sustainable resilience, insurance carriers are increasingly dependent on detailed geospatial datasets throughout their customer lifecycle. However, the integration of such external datasets presents its own set of challenges.

Location intelligence provides retailers with geospatial data to enhance business intelligence, improve customer experiences, and gain competitive insights. This data-driven approach aids in site location analysis, geotargeted advertising, competitive analysis, merchandising, sales forecasting, operations, staffing, and customer analytics, enabling strategic decisions and optimized operations.

Data is critical to banking operations at every step of the process. Geospatial data provides insights into customer demographics, preferences, and behavior based on location. A data-driven approach ensures efficient operations and cost savings while also helping to study market demand, monitor competitor activities, and identify growth opportunities.

Geo data can be the key to being more competitive and differentiating yourself from the competition. From site analysis applications to demographic evaluations, data leads to faster decision-making and increased ROI. Enriching your Snowflake environment through accurate data should be one of your main priorities to gain the upper hand on the competition.

With data at the cornerstone of decisionmaking in the Marketplaces Industry, it’s no surprise that data quality can play a key role in the outcome of your strategies. Simple demographic data is no longer sufficient to remain competitive. Geodemographics and other location-based data can make the difference between you and your competitors. Learn how to integrate geospatial data into your current strategies for better-targeted marketing, market segmentation, staffing, and more.

In today’s retail and e-commerce landscape, geospatial technology and location intelligence are essential. Geolocation plays a pivotal role in analyzing markets, monitoring stock proximity, and optimizing online experiences. Woosmap’s technology, combined with Korem’s expertise, helps maximize location strategy value, even if you already have a store locator.

Location analytics serves as the key in developing a future-proof EV infrastructure strategy, minimizing the total cost of ownership. Immerse yourself in the power of geographic visualization tools, meticulously crafted from a premier combination of data sources, and stay ahead with the latest trends in EV network branding strategies. 

In the fast-paced telecom landscape of 5G, fixed wireless, and fiber deployment, cloud technologies, geospatial data, and AI can help telecom carriers make quicker, data-driven decisions and enhance operational efficiency. It emphasizes the use of Precisely’s Data Integrity Suite and integrating data into the cloud for speedier decision-making.

Telecom companies have invested billions in expanding broadband and 5G networks. To maximize ROI, efficient qualification and automation are essential. Discover how geospatial data plays a pivotal role in our webinar.

What is a property data report? The tool that insurers and re-insurers need for the optimal risk determination for portfolio resilience. Watch our webinar!

In this workshop you will learn how GIS traffic data solutions can maxime your ROI, how to leverage data for site selection in high density areas and more!

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 charging location strategy. Learn how to leverage location analytics for developing a future proof EV infrastructure strategy to reduce the total cost of ownership.

Footfall data can empower retailers to make informed decisions, drive foot traffic, boost sales, and gain a competitive edge in the rapidly evolving retail landscape.

Gain valuable insights on integrating and processing data effectively, leveraging your cloud infrastructure for advanced location analytics, enabling powerful customer analytics with geocoding, and creating impactful scenarios using new capabilities. Don’t miss this opportunity to optimize your data strategies and make informed decisions in an ever-changing landscape.

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.

Most of the B2C organizations have their customers’ addresses, but it appears that some of them lack precision. Having high quality address data is now critical to remain competitive. Still, leveraging this type of data requires some specialized tools since it also brings the concept of location intelligence. This webinar will provide you with an overview of the real value of streamlining your address management approach across your business lines.

Most of the B2C organizations have their customers’ addresses, but it appears that some of them lack precision, in some cases, this can lead to the loss of the customer. Better address management and geocoding can directly help improve business KPIs.

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.