Spatial analytics solutions

Meet evolving expectations

As subscriber expectations continue to increase, competition becomes even more intense, and as revolutionary technologies using 5G are introduced, telecommunications companies need to take advantage of the massive amounts of customer, network, and location data generated each day.

The critical context provided by location-based data is key to fueling new analytics that help you anticipate needs and redefine processes that:

• Improve service to your customers
• Close the digital divide in underserved communities
• Reduce churn and increase reliability
• Ensure competitive advantage through better planning for network expansion and maintenance

With a contextualized view of your network, you’re also easily able to identify existing or potential subscribers in your service areas to up-sell new or improved products and services – driving revenue and market growth.

Optimize network planning

To expand critical capabilities and deliver optimal service, location intelligence and data enrichment solutions are a must-have. They equip you with an ability to pinpoint the locations of cell towers, small cells, and Wi-Fi with precision – which is particularly important against the accuracy requirements associated with 5G wavelength frequencies.

But 5G success doesn’t hinge on accurate locations alone. These frequencies are greatly affected by building footprints, building material composition, and so much more. Enriching these locations with a wealth of nearby attributes can provide a more informed view of factors relevant to network planning.

Highly accurate global geo addressing solutions can enable subscriber enrichment to identify 5G fixed wireless opportunities in underserved fiber areas. A location-intelligent view enables you to create digital twins of locations and identify low-strength signal areas and “dead zones” with insight into real-time network performance.

Network analytics are also strengthened and automated by integrating spatial analysis and cloud-native geoprocessing. As an example, think about a common planning exercise telcos undertake when they consider upgrading networks. They need to evaluate revenue potential against legacy networks, so capacity and capability are front and center.  By visualizing subscriber network behavior, Communication Service Providers (CSPs) can gain valuable insights and plan strategically, avoiding unnecessary expenditures with a more sophisticated view of their assets and subscribers.

Add speed and accuracy to underwriting

Location intelligence and spatial analytics play a crucial role in the insurance industry. Take, for example, the rise of record-setting weather and wildfire events. It’s never been more important for underwriters to have as much context as possible to accurately assess risk and price policies – context like:

• How far is a property from the coast?
• Does it sit within a flood zone?
• Which emergency services are nearby?

Precisely solutions provide a comprehensive view of each structure and the risks associated with it by using spatial analytics with risk datasets specifically helpful for property underwriting. Insights include co-tenant/adjacent risk and exposure to catastrophic, natural, or man-made disasters.

Faster underwriting and greater pricing accuracy are made possible by rules-based analytics, smart alerts, and process automation.

Manage catastrophic risk

Climate change and the uptick in extreme weather events make it harder to manage catastrophic risk. Even so, insurers can maintain a competitive advantage by better predicting, evaluating, and reducing catastrophe risk.

But how do you accomplish that? Capabilities that can make a huge difference include:

• Spatial analytics and accurate data that expose catastrophe risk factors like wildfires and other land-based events, along with major weather events and natural disasters
• Wildfire data to better prepare for these often-unpredictable natural disasters by learning from previous incidents
• Weather data for a hyperlocal, context-rich look at historical weather events as well as real-time updates

These datasets are powerful capabilities that help you model risk, assess current portfolios, and increase pricing accuracy for new policies.

Efficiently process claims

There’s always room for improvement when it comes to claims processes – it’s time for better efficiency and more positive policyholder relationships. To meet customer demand and respond to claims quickly and correctly, you need in-depth risk analytics you can count on to automate and bring efficiencies to the process.

You can make claim processing that much easier with context like:

• What properties are in the path of a wildfire or a hurricane?
• How much exposure do we have due to a specific event?
• What policies were in the path of a tornado?

Spatial analytics help you identify policies affected by an event ahead of time, reduce the number of assessors needed on a site, and help you respond to claims more quickly.

Inform site selection with location intelligence

The location of a store, restaurant, or branch can make or break its success. Evaluating locations with geospatial data and spatial analytics tools provides much-needed support for a site selection strategy.

For example, Precisely demographics and points of interest datasets tell you more about people and places, while our spatial analytics solutions let you analyze how they can impact store performance.

Street network data and proximity analysis tools also reveal a location’s accessibility. Traffic metrics, peak drivetimes, and dynamic mobile trace data can inform when to expect high volumes of visitors. Creating a radius to analyze proximity to major roads or public transportation reveals how convenient the location is for customers, and the potential employment pool.

Understand the “why” behind site performance

Continuing to analyze the location of a store, restaurant or branch can provide insight into profitability, cannibalization, and customer activity, and help guide marketing campaigns.

Our datasets are updated frequently to ensure your business is up to date with the latest trends impacting the area. And our unique spatial analytics solutions provide software and data to create actionable insights and boost profitability.

Build location-based customer profiles

A customer profile isn’t complete without location, and accurate, in-depth customer profiles make hyper-personalization possible. You’re then able to:

• Customize marketing campaigns
• Target desirable customers
• Personalize experiences to meet rising consumer expectations

It’s all made possible by unlocking hidden relationships with a location-based, contextualized view that’s made accessible through spatial analytics tools.