Suburbia has the expertise and infrastructure to help you benefit
We ensure no personally identifiable information (PII) is shared and the latest machine learning techniques are used, so that you can:
Stay focused on your core business Get insights and transparency for your customers Apply machine learning for business intelligence for managers Promote your business as an industry expert Generate an additional source of recurring revenue
Let’s see if we can help each other

Here’s a demo of what we’re doing with all that data

So… you have data but what makes it valuable?
Data is our core business, so let us help you make sense of it. We have 7 key requirements for data to be valuable.
Data must:
1 Be non-personal 2 Have a story to tell 3 Be well documented 4 Have a time and a location tag 5 Be historical, dense, and regularly updated 6 Be thoughtfully constructed 7 Be Ready for professional use
We get you from point 1 to point 7, here’s how it works
They already trust us
We’re trusted by some of the world’s most exciting startups, including:
Frequently asked questions
Open data is not the core business of my company, why is suburbia still relevant to me?

Your company is probably collecting aggregated, non-personal data across sectors and industries in the course of its business. This data is often unorganized and unused, but it could be helping you find business insights, generating new revenue streams or improving your competitiveness.
Put simply, your data is valuable, in ways you may not have thought of, to an audience you may not have thought of.

Suburbia is here to change that.
We help companies leverage, organize and monetize data, so you can focus on your core business and still gain value from your data.

What sorts of data are you working with?

All sorts from all sorts of different sources. Here are some examples of projects we’ve explored with so far:

📊 Retail data about which products and brands are being bought at which prices
📡 Satellite images to track crop growth and changes in infrastructure
🏠 Real estate figures about housing and rental prices across different cities around the world
💻 Data from the Internet of Things (IoT), like sensor data to track containers or traffic congestion
🗾 Geo-location data, to track poverty and access to electricity
🚢 Shipping data about vessels, volumes and positioning

What makes my data valuable?

There are a few broad requirements which make data interesting, useful and shareable. It should be:
☑️… anonymous and aggregated, with no personally identifiable information about individuals
☑️ … frequently updated, at least once every month but preferably daily or instantaneous
☑️ …well documented
☑️ … put together over time (historical), the further back it goes, the better
☑️ ... thoughtfully constructed
☑️ … contain geospatial (where it was recorded and timely (when it was recorded) characteristics
☑️ … dense – 10 transactions per month aren’t as useful as 100,000 transactions

We’re flexible on the format for delivery, whether that’s a CSV file, json file or an API.
We want to underline that we do not accept data that involves personal data, because we are not concerned with targeted advertising, selling ads to individuals, or invading the privacy of users.
So: no emails, lead lists or other privacy sensitive information.

That’s a serious checklist. Any other requirements?

Yup. We’re on a mission to uncover stories about the world we live in. So we’re looking for datasets that can help us on this mission.
Before submitting your data, ask yourself:
How thoughtfully is it constructed? How comprehensive is it? Which potential stories could it unlock?
The more you know about the data, the easier it is for us to use.
Your domain knowledge can enrich the data and make it more comprehensive: 👉add it.

You said alternative data can help decision makers. How does that work?

Alternative data can provide information about sales, trends or economies in close to real time, and therefore unlock new insights for decision makers.

Take gentrification for example.
Traditionally, levels of gentrification are measured on data given out by census bureaus, federal housing agencies and community surveys - sources which are slow to update and costly to collect.
But these days you can add all sorts of alternative data to track gentrification, like Google street scores, Yelp listings, traffic congestion, TV subscribers, and so on.
The benefits of alternative data over traditional data include providing intelligence faster, at lower costs, from multiple sources (to ensure independence) and in greater detail.

Alternative data helps policy makers. Who else benefits?

Financial institutions can also take advantage of alternative data. They can get a better understanding of sectors that are booming, what foreign exchange and interest rates are doing, how economies and investments are changing over time and which investments make the most sense.

Businesses too can profit, if they want to figure out where to open new shops for example, which consumer preferences are trending and which are fading, how to provide the right product at the right place at the right time for the right price.

I GET IT, ALT DATA HELPS TO BASICALLY SAVE THE WORLD. :)
NO, JUST KIDDING.

But it does offer a wealth of opportunities. Did you mention suburbia also monetizes data?

Yes. Understanding alternative data means business intelligence. You get more info about your industry, market trends, and so much more. This can be published, used for thought leadership purposes or translated into business opportunities. We also reward our data suppliers with recurring revenue and support any initial development costs.

So how do we get our data to you?

Here’s how it works: We start with a chat – either over the phone, face-to-face, or digitally – to figure out the value of the data and see what the story could be.
Then we’ll ask you for a sample – large enough to be representative of your data, but small enough to make the transfer straightforward and quick.
We’ll dive into the data and use machine learning to discover which insights it can generate for you, how it can be enriched with our other data and how it can help our analysts understand trends.
With a real opportunity to be gained with your data, we’ll move onto the onboarding process.

So how does the onboarding process work exactly?

We’ll start with a feasibility study to discover the value in your data and what analytics we can provide to you. Don’t worry, we know you’re busy like everyone so we’ll bother you as little as possible.
Based on the outcome we’ll put together a proposal, organise a meeting, and discuss expectations and preferences.
Once you’ve signed the proposal, we can kickstart the integration process.

*Welcome to Suburbia*
Et voila: data that was overlooked and considered a storage burden is now being monetised and used to help your company become more competitive. 💸

Cool. But i still don’t quite understand the revenue and payments structure.

So we cover initial setup, administrative and legal costs. This is followed by a recurring monthly payment, designed to grow as the amount of data provided grows. The monthly payment depends on how often the data is updated.
But don’t worry: you will be pleasantly surprised by the monetary value of your data.

And what about the new data privacy laws?

Data we collect only includes aggregated, anonymised and objective sets of information, we’re not in the privacy danger zone and, obviously, we are fully focused on ensuring GDPR and global regulatory compliance.
We’re here at Suburbia to create a sustainable business model for ourselves and our partners. We promote the use and accessibility of alternative data for everyone to make better decisions

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