We use complex algorithms to match data across disparate, inconsistent data sets, all to zoom in on the right answer.
Every data set in our repository is cleaned and tagged with a quality score based on its completeness and accuracy.
We source data from PDF files, web pages, text files, images, and excel files, all from the most obscure corners of the internet.
Our project had a demanding geospatial scope and SocialCops did a great job mapping data between census maps and the national databases. Using their platform, we were able to structure large volumes of data up to the sub-district level and visualize the data on an interactive dashboard.
It was a real pleasure to be so clearly understood by SocialCops, so that we got exactly the data we wanted and in the form we wanted. This is particularly unusual for us in the data journalism space.
We worked with SocialCops on creating a digital show to explain complex issues using humour. It was important for us to get the data right and also work with a partner who can help set the right context for it.
Most decisions today only use the data you already have. But for big important decisions, this isn't enough. You need all the data that's relevant to your decision. This is where Access comes in — it adds intelligence and context to the data you already have. For example, marrying your internal sales data with external data about the affluence, proximity to shopping malls, and education levels of potential customers in different geographies can help you make more intelligent decisions.Request a demo