Every Internet-enabled person in the world has a data problem.

Data is being captured and created faster than we humans can possibly consume it. Computers can help speed up analysis, but they’re only as smart as we make them and the algorithms they run will produce findings only as reliable as the data fed into them. Most importantly, computers miss things – obvious outliers or exceptions that are immediately and intuitively apparent to humans. Misinterpreted data can lead to poor decision-making with disastrous consequences.

In a world inundated with analyst reports, usage statistics, global market speculation, and metadata borne of the vast Internet-of-Things, which data do you really trust? Why is it we’re still woefully unable to acquire the right data to inform very specific, unique and critical decisions? Do you trust the data you’re basing your most important business decisions on today?

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Data is easily misinterpreted in the absence of human context.

People experience their world through a mosaic of simultaneous dimensions – time, place, emotion, culture, the qualitative and the quantitative. We count, we sort, and we filter, but we can also distinguish truth in non-binary (non ‘black-and-white’) situations.

An evening satellite can capture points of light from a city down below, but a human being can walk door-to-door down a street, looking for telltale signs of electrification such as wires and transmission stations. A person can hear or smell a gas-powered generator and note that this is not true electrification of a city-block.

In efforts to eradicate the Zika virus, maps and satellite images can detect large bodies of water, but people on-the-ground are needed to locate smaller pools of water and to determine the stillness of the water and consequently the potential to breed harmful mosquitoes.

People can go places computers simply cannot.

Point-of-view is much more than a camera angle. Satellite images are literally thousands of feet from the truth.  Humans live on the ground, immersed in their communities, embedded in their cultural environments.

And people can go indoors to navigate aisles in a crowded produce market, asking questions of vendors, and capture data informed through a cultural lens which might affect the interpretation of the information delivered to you.

The foundational premise underlying everything we do at Premise is that human intuition matters because it puts data into meaningful context, allowing you to make more accurate and culturally-informed decisions.

We gather insights on-the-ground, in the thick of it, using the power of the human mind – with all of its personal history, cultural awareness, and the raw power of simple, common sense.

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The Premise Contributor Network™

You want a data set that represents truth-on-the-ground, as only a human network can truly capture – the Premise Global Contributor Network, consisting of thousands of verified observers spans the global and is on-call to fulfill your data request. We’re adding new networks in new cities around the world everyday.

No other data provider has the global footprint and experience recruiting and managing reliable Contributors.  We also run both manual and automatic quality checks, leveraging the power of machine learning to ensure the data we deliver is accurate and trustworthy.

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Add Ground Truth data into your decision-making process.