Big Data makes it possible to monitor the self-sufficiency of different districts in real-time. This makes it possible to signal changes early on. We look at data of monitors in neighborhoods as well as data that users generate themselves. You can also predict developments with Big Data and this way get insight in the development of the care needs in a certain district. Based on this new form of policy information you can make recommendations. The goal: to prevent or repair the decrease in self-sufficiency, make efficient purchases and provide better public services.
With Big Data you can possibly better estimate and predict domestic violence. This proactive and innovative approach is based on indicators and formulas. We look at large amounts of data, both generated by the users themselves, as data generated from outside, for example by schools and social media. This may possibly give insight in an earlier stage of domestic violence. This allows you to intervene earlier where needed. Another possible result: a decrease of domestic violence.
Big Data makes it possible to better fight fraud. For example housing fraud or benefit fraud. Based on all kinds of available data, you can calculate the chance that a person or a group will defraud. We also look at the user-generated content. We collect various data from the Internet and use data that different parties make available. The goal: a more focused investigation of people who deliberately defraud. This reduces the financial loss through fraud, and increases the sense of justice of citizens.
Big Data is applicable on many different areas. Do you have an idea or desire? Together we create a new concept and we translate your ideas to the world of Big Data. We assist organisations in implementing new applications and hereby listen carefully to the environment and all parties involved.