Pulse Domestic

Insight into factors of Domestic Violence with Big Data

Domestic violence is a challenging subject for municipalities. The diversity of agencies that contribute to detection, identification and solving the problem makes it complex. De steering could be more effective and efficient by gaining insight into precisely what the problem is, how big this problem is and what causes these problems.


BigData.Company has developed, in cooperation with three local municipalities, a monitor where objective statistics regarding domestic violence are combined with context data and data from agencies. This gives municipalities the opportunity to identify problems at an early stage. Thus, organisations are creating and adjusting policy’s in a data driven way.

Pulse Society

Measuring the self-sufficiency with Big Data

By using the Self-sufficiency Matrix, social workers and policy makers can gain insight into the degree to which residents can care for themselves. Currently, this is mostly done through surveys.


In collaboration with the Municipality of Utrecht and two universities, we have developed an application that provides insight into the self-sufficiency of citizens per district level. The dashboard of the application provides insight into what issues are going on and what the severity is of these problems.


Through combining open data sets, Municipality data and purchased data, we can monitor trends over time per domain level (e.g. Work & Income or Informal care). This provides handles for policy staff to adjust steering. Because context information (e.g. composition of the neighbourhood) will also be displayed, social workers can determine how to deal with problems.

Data Lake

Bringing together all the relevant data in a central, searchable storage

When all the relevant data would be stored in a central location, it can create tremendous value for an organisation. Many new insights can be generated by performing analyses on (semi-) structured data.


One of the greatest IT challenges that organisations now face is to centralise data. Often it is already difficult to get own generated data in one location, let alone the data that is generated by third parties. How do you get this data together? How do you keep this data collection up-to-date? And how do you get value from this? BigData.Company has developed a two-tier service, which enables an organisation to be more data-driven.

Data Lake Exploration

A Data Lake project can only be successful if it is clear which data sources need to be linked. When this has been studied, an architecture design needs to be made for this. A cost estimate for the technical implementation will be made, depending on several different factors (such as the number of data sources, frequency of change, type of connectivity and the needs of the organisation). In there different scenarios will be incorporated so organisations can decide which scenario fits them best.

Data Lake Technologie Implementation

BigData.Company has developed technology – hardware and software – for bringing in data from different sources real time. Then storing these raw data in a structured way so that it is searchable. The Data Lake consists of (semi) structured data so that it is possible to link this to analysing tools that are suitable for Big Data.






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