The right place at the right time
For any company with a physical footprint—or whose business relies on ever-changing real-world conditions—an understanding of a place’s potential is critical to uncovering new opportunities.
Google Maps Platform’s newest features for analyzing building locations, clean energy potential, and air quality can help you transform raw data into the spatial intelligence you need to identify and predict trends, and build a sustainable revenue stream.
Location, location, location: An expanded Places Insights dataset
For businesses with a real-world, brick-and-mortar presence, decisions about where to build or open a new store or facility can impact revenue and ROI. Successful expansion requires a precise understanding of local markets.
Our Places Insights dataset has always provided the intelligence you need for analyzing store performance and identifying new sales leads. We’ve now expanded Places Insights for the US, UK, Canada, and Australia to include information on brand presence.
Whether you’re optimizing sales territories, expanding delivery networks, or evaluating new business integrations, the new Places Insights dataset helps you understand commercial neighborhood characteristics and where complementary or competitive businesses are located. With this new data, you can analyze commercial density to refine data-driven decisions about market expansion, product distribution, and site selection.
Select the optimal location for a new branch, retail outlet, or service point with Places Insights.
Because all Places Insights data is available in BigQuery, you can map it to your own sales, customer, and operational data as well as third-party demographic, traffic, and environmental data to create easy-to-understand visualizations. Breaking down data silos lets you analyze market saturation, market penetration, and spatial demand more efficiently.
Places Insights has also expanded to 50 countries, including new countries such as Argentina, Finland, and South Korea.
A bird’s-eye view of solar arrays
Identifying where rooftop solar panels are deployed has always involved painstaking examination of satellite imagery—until now. The new Detected Arrays visualizes existing solar panel installations so you can understand the energy potential for any building.
Using Google's Earth AI's geospatial foundation models, we created this new solar detection dataset in the Solar API so you can analyze real-world solar capacity across entire territories right from your desktop, saving time and mitigating the cost of site visits.
Detected Arrays visualizes existing rooftop solar installations so you can understand each building’s electrification potential.
With a micro-level view of the energy landscape, clean energy equipment and services vendors can prospect for home electrification customers, enhance site assessments, and identify areas for expansion. And energy providers can make evidence-based decisions about energy infrastructure, load balancing, and virtual power plant programs that help capture new business.
Turn historical air quality and pollen data into actionable business strategy
Pollen levels—and the seasonal allergies they trigger—change constantly across geographies. Air Quality Insights has long provided hyper-local, up-to-the-minute data on pollutants so you can more accurately assess health and business risks.
We’ve now added Pollen Insights and Air Quality Insights datasets with four years of data that lets you move beyond real-time monitoring to predictive forecasting and helps you anticipate seasonal environmental triggers before they impact your users.
Visualizing median levels of a specific type of pollen in Manhattan.
Pharmaceutical, healthcare, and life sciences companies can leverage this historical pollen and air quality data to inform their R&D and optimize seasonal supply chains. With a granular understanding of particulate matter, allergens, and pollen — including type and species—you can also provide the forecasts and health recommendations people need to better manage their allergies.
And air quality and pollen data can easily be joined with your own business data in BigQuery to predict respiratory health trends and related supply chain demands for medications. Both Air Quality Insights and Pollen Insights are available for the US, Canada, and Australia.
Provide current and forecast pollen data to deliver actionable tips to your users to manage their pollen exposure.
Be in the right place at the right time
Together, Google Maps Platform’s new and existing datasets and features become a powerful “spatial intelligence engine” that empowers you to understand your operations better, identify new opportunities, and optimize your business’s real-world footprint wisely and sustainably.
Get started with Google Maps Platform’s newest datasets in the Places Insights, Solar API, and Pollen Insights today.
