Your data should be smartly organized to allow for quick retrieval via an intuitively accessible means that convey accurate, timely, and actionable information from which you can make educated decisions. Diginize ("to digitally organize") was founded after years of helping organizations make better use of data they already had, and making it easier for them to compliment it with data they didn't.
You can pick your favorite data buzz word du jour and we'll probably keep pace, but we prefer to stick to the descriptive terms like decision support systems and information science because we think these really get to the heart of the intent. Data Science is a fine term when you're sticking to the Wikipedia definition but this term is so popular it's often misused and overhyped in marketing materials, so we tend to avoid it. What we can do with data is complex, but our explanations and the results should not be.
We develop or oversee the development or integration of decision support software. With the flood of visual displays and great data processing software hitting the market these days we are finding it increasingly less necessary to "develop" custom software, but rather it is often more efficient to develop customized workflows that leverage existing consumer software. That said, sometimes the need is just unique enough that parts of the workflow need custom automation, or even entirely custom displays and computer interfaces. Having developed and maintained many complicated systems in the past, we're dedicated to finding the solution that has the lowest maintenance tail, which allows us to stay focused on solving new problem and saving our customers money.
The ubiquity of the web browser has made it a critical business application, and applications served through the browser can be centrally managed and device independent. Whether we're building client facing external websites or customized intranet portals, we ensure our solutions accurately distribute the information they are designed to convey.
Our unique mix of talents, containing database expertise, computer scientists, and even a human geographer specializing in geospatial data processing, we have a unique ability to devise complex geospatial solutions. Although we and many other companies can plot dots on a map or make pretty geospatial displays, we're more interested in developing the questions or hypotheses to describe the human elements of geospatial data, as well as the data structures and methods required to answer those questions. This could take the form of advertising, fundraising, lobbying, environmental impact analysis, zoning and development, etc. These techniques can focus on macro trends or personally targeted information, and are often most interesting when considering elements from both. We use open source and proprietary tools alike.
OK, we don't actually profess to be "experts" or hold degrees in the complicated field of cognitive science, but we do pay a lot of attention to the academic literature from this discipline. Cognitive biases, heuristics, and the way humans use technology and process information are critical to consider, but often overlooked, when developing computer or data management systems. We pay particular attention to this area by combining findings from decades of academic research with close attention and hands on user testing of products we design.