We are Landscape
and we can help to increase your data impact
Proven track record
Read here how, using data, we succesfully achieved significant business value for our clients. This is a selection of our previous projects.
An IT-intensive bank asked us to assess its data governance. Using a method we developed internally, quickly and efficiently we timely found that many of the employees needed training for the new data warehouse.Read more keyboard_arrow_right
Proof of concept
While conflicts in the Middle East destroy cultural heritage, we are working hard to collect all remaining knowledge about these archaeological sites.Read more keyboard_arrow_right
Together with the LCDS, we help the municipality to improve the traffic conditions in the city by harvesting new data sources and combining existing systems.Read more keyboard_arrow_right
A manufacturing company in the oil & gas industry had a significant amount of legacy systems from its former parent company. We've successfully assessed their complex IT needs and bottlenecks, which was the starting point for now improving the IT landscape.Read more keyboard_arrow_right
- Machine learning
- Neural networks
- Data cleansing
- Data interpretation
Using data science, one can explore the potential of data sets. It is an interdisciplinary science involved with data analytics, interpretation and data visualisation. Landscape has a team of talented data scientists who are dedicated to help you transform your organisational data and our wild ideas into valuable business assets.
- Data strategy
- Concept development
- Web apps
An idea becomes valuable once proven valuable. We are experts in assessing data-related ideas. This involves assessing the impact on the business strategy, verifying the quality of the datasets and experimenting wih the best ways to visualise the results. Built on the flourishing open source ecosystem, our products are using state of the art technology.
- Rules & guidelines
- Organisational support
- Managerial involvement
- Data governance scan
Investing in software and in data is great, but most organisations forget to properly govern it. Sufficient data governance lowers costs and results in a higher chance to achieve strategic goals. Data governance includes for instance an overview of data assets, guidelines for measuring data quality, and managerial accountability for data
How we work
In executing projects, we have a strong entrepeneurial mindset. This means we are intrinsically motivated to improve your concept, rather than simply execute an assignment. Importantly, we strongly value a trust relationship with our clients. Behind all this is the drive to form a bridge between IT and business.
All of Landscape's employees have academic backgrounds and therefore know how to tackle complex problems. We have close connections to the academic world and are affiliated with the Leiden Centre of Data Science at Leiden University.
Blog: Society's datafication11 May April 2016
ICTU, a Dutch government instance that supports other government organisations with IT, interviewed Landscape's co-founder Lucas van der Meer on society's datafication and the role of proper data governance in getting the most out of data.
Datafication means that the world is relying more and more on data to operate. An example are the pre-filled tax forms, tax return sheets filled out automatically based on clever data usage.
The Dutch government is a 'mega data owner' and its data can be used to make processes more effective and efficient. Current data technologies create new chances to do so, but the question that remains is: how should we do this exactly?