Glossary

Address validation checks whether an address is real, correctly formatted, complete, and recognized as a deliverable address, not just whether it is spelled correctly.

Not every business trend appears in an earnings report. Store visits, foot traffic, satellite imagery, and online activity can provide valuable clues about what is happening before traditional data catches up.

Imagine taking the name tag off a person while keeping everything else that makes the record useful. You can still learn from the information, but you cannot tell who it belongs to.

AI is when computers perform tasks that normally require human intelligence, such as learning, recognizing patterns, understanding language, or making decisions.

Batch geocoding lets you turn hundreds or thousands of addresses into coordinates in one go, instead of doing them one at a time.

Beacon advertising uses Bluetooth signals from physical beacons to trigger targeted messages, offers, or other promotional content on nearby customers' mobile devices.

A beacon is a tiny device that constantly broadcasts a signal, like a lighthouse, so nearby phones and apps know it's there.

Think of a building footprint as tracing around a building’s base while looking at it from above.

Business intelligence is like a shopkeeper checking the ledger to see what sells, what does not, and what needs attention. A business does the same thing with its data, using information about sales, operations, customers, and performance to understand what is happening and decide what to do next.

Think of a catchment area as the places a business can realistically draw customers from. Catchment area analysis maps those places to understand how far a location reaches and who falls within its potential customer base.

Category tags are extra descriptive labels for a place, so instead of just knowing it's a "restaurant," you know it's specifically a pizza place.

A city centroid is the single point that marks the middle of a city on a map, the way you might stick a pin in the center of town to stand for the whole place.

Contextual targeting is an ad reading the room, a running shoe ad shows up on a marathon article because of what's on the page, not because it knows anything about you.

Cross-shopping analysis shows where your customers shop besides your store. It’s like noticing which other shops’ bags people are carrying when they walk through your door.

Data availability means the information you need is there when you go to use it. Think of a 24-hour pharmacy: it only helps if the doors are open when you show up.

A data breach is when private information ends up in the wrong hands. It's like someone copying your house key and walking off with your files.

Data cleansing tidies up messy information so it's accurate and consistent. It's like going through your phone contacts to delete duplicates, fix typos, and remove people you haven't spoken to in years.

Data democratization means letting everyone in a company use data, not just the specialists. It's like moving the company library from a locked back room into the front lobby.

Data encryption scrambles information so that only someone with the right key can read it. It's like writing a note in a secret code that only your friend knows how to decode.

Data engineering is building the pipes that carry information from where it's created to where people use it. Think of plumbers who make sure clean water reaches every tap in a building.

Data enrichment is adding useful details to information you already have. It's like taking a list of restaurant names and filling in each one's address, opening hours, and type of food.

Data governance is the set of rules that govern who can use company information, how, and for what purpose. It's like house rules that keep a shared kitchen clean, safe, and usable for everyone.

Data integration is bringing information from different places together so you can see it all in one view. It's like combining several family photo albums into one, sorted the same way.

Data integrity means information stays accurate and unchanged unless someone is supposed to change it. It's like a sealed envelope: you trust that what's inside is exactly what was sent.

A data lake is a giant storage space where a company keeps all its raw information in its original form. It's like a big storage unit where you put everything in now and sort it out when you need it.

Data literacy is the ability to read, understand, and question information presented as numbers, charts, and maps. It's like being able to read a nutrition label instead of just glancing at the picture on the box.

Data management is how an organization collects, stores, organizes, and looks after its information. It's like running a well-kept warehouse where everything has a label, a shelf, and someone in charge of it.

A data mesh is a way of organizing company data where each team looks after its own information and shares it with others. It's like a food court where each stall runs its own kitchen, but they all follow the same health and safety rules.

Data migration is moving information from one system to another. It's like moving house: you pack everything, carry it to the new place, and check that nothing broke or went missing on the way.

A data pipeline is an automated route that carries information from where it starts to where it's needed. It's like a conveyor belt in a factory that picks up raw materials, processes them, and drops finished goods at the end.

Data quality is how accurate, complete, and reliable your information is for the job you need it for. It's like checking a map before a road trip: if the roads or towns are wrong, you won't get where you're going.

Differential privacy adds a small amount of random change in data so you can see useful patterns in the data without seeing information about any one person.

ETL is the process of pulling data from wherever it lives, cleaning it up, and loading it somewhere useful, so it can be used for analysis and decision-making.

Geolocation is how a device figures out where it is in the world, like when your phone shows your location as a blue dot on a map.

Geospatial data is any piece of information that's tied to a specific spot on Earth, basically anything that can answer the question "where."

If geospatial data is the raw ingredients, geospatial intelligence is the finished dish, the actual insight you get once someone’s analyzed that data to answer a real question.

Geotagging is adding a location stamp to something, like a photo or a post, so it carries a record of where it was created.

GPS is what puts the blue dot on your map. Satellites way up in space are constantly telling your phone exactly where it's standing.

Human-Verified Data is information that has been checked by an actual person, not just generated and left as-is by an algorithm.

Latitude and longitude are two numbers that pinpoint a location on Earth, like a global address system made of coordinates instead of street names.

Machine learning is a way of teaching computers to find patterns in data and make predictions without a person writing step-by-step rules for every situation.

A NAICS code is a standardized number used to classify what kind of business a place is, much like a category label for an industry.

Think of a family tree for places. A mall is the parent, and every shop inside it is a child, so a parent Placekey tags each shop with the name of the larger place it belongs to.

Placekey is a short code that identifies one physical place, no matter how its name or address is written. It works like a barcode for a location: two companies can spell the address differently and still know they mean the same spot.

All POIs are places, but not all places are POIs, a private home doesn't count, a coffee shop does.

A polygon is a place’s footprint. It shows the space within its real boundaries.

A circular geofence is like tracing a shape with a compass, round no matter what's actually there. A polygon geofence is like tracing it with a pen, following the real edges of the building.

Raster data represents geographic information as a grid of tiny cells, each storing a value for a specific location.

Imagine a giant poster map cut into thousands of small squares. Your screen only shows the few squares you're looking at, and it swaps in new ones as you move around. That's raster tile data: one big picture, sliced up so maps load quickly.

Reverse geocoding turns a dot on a map into a place you can name. It is like dropping a pin on your phone and having the map tell you "you are at 12 Main Street."

A shapefile is a widely used file format for storing map shapes, such as building outlines, roads, or property boundaries, so GIS and mapping software can read and display them.

A spatial join matches two lists by where things are, not by a shared name or ID. It is like laying a sheet of pins over a neighborhood map to see which neighborhood each pin lands in.

Trade area analysis studies where a business's customers come from and how far they travel to reach it, helping businesses understand their real geographic customer base.

Vector data draws the world with points, lines, and shapes, the same way you'd sketch a map by hand: a dot for a store, a line for a road, and an outline for a building.

Vector tile data is a map cut into small square pieces, like a jigsaw puzzle, where each piece holds the shapes of roads, buildings, and places instead of a picture of them. Your screen only fetches the pieces you are looking at and draws them on the spot, so the map loads fast and stays sharp.

WKT is a way of writing a geographic shape, such as a building outline or property boundary, as plain text that both people and computers can read.