Since much of today’s data is so difficult and hard to work with, even the most important decisions only rely on a small subset of the world's data — the data you already have or data that's easy to get. But this small subset of the world’s data isn't enough for big decisions.
This is how many organizations make big, important decisions today. Many of the steps in this process are riddled with inefficiencies and problems.
Too many external people involved
It's not the consultants, researchers, or analysts in charge of this process but instead the people in the organization that best know the small, complex details of their own problem.
Uses consultants, not data experts
Data experts — not consultants — best know the obscure sites where data is hidden, and how to quickly and effectively assess the quality of online data.
Digital data collection is difficult
Paper data collection just isn’t feasible for lots of data, but market researchers can have trouble doing digital data collection in areas with poor connectivity.
Data matching is tricky
Matching data across different data sets is notoriously difficult, especially when data was put together by different people with different methodologies.
Output doesn't help the decision
An organization doesn’t need a 100-page report — which is slow and difficult to consume — to make a decision. It just needs the most important data insights.
Not sustainable over time
What happens if an organization needs to make a similar decision in one year's time? They have to go through this entire process all over again!
First, you use the data you already have – your own preferences and past experiences about different phones.
Next you search for external data on the internet – prices of other phones in the market, reviews, features.
You might go to a store and check out how a certain phone looks, or talk to friends who have the phones you’re thinking about buying.
Since you have lots of data, it's important to bring it all together. You sort through the data, discard what’s irrelevant, and weigh the pros and cons.
Finally, you use all the data to come to a final decision — the phone you want to buy.
Our platform brings the brain's intuitive decision-making process from small, personal decisions to complex, multi-stakeholder decisions with difficult data.
We first pull data from scattered internal systems of organizations. Then we add context through over 600 sources of public data — all the data that is normally inaccessible because it’s so bad. And finally, we collect data to fill in the gaps, using our Android app that works completely offline.
Then, once we have all the data we need, we merge, structure, and transform the mass of data into insights, then visualize those insights to make the best decision blindingly obvious.