Using data management insights to help manage construction projects

Data management sounds like a solemn discipline. In practice, it combines information technology, human capital and the business environment. Today's knowledge-intensive organisations and networks contain a wide variety of knowledge and skills, and managing them effectively is key to their development. From an data management perspective, the goal is to improve business processes, facilitate data management or otherwise improve performance.

And what does this have to do with Toiste? Quite a lot.

Toiste is a good example of a cloud service that uses the principles of data management.

Toiste is all about simplifying the management of construction projects. The service elevates data models to a management tool and a common platform for all parties involved in the project. The setting, reporting and tracking of use-case based data model requirements facilitates data management and built-in processes guide users to ensure a high quality outcome. When the right information is produced at the right time for the right need, all parties benefit.

Developing a cloud service like Toiste requires applied skills in areas such as user experience design, software development, maintenance, databases, data warehouses and security. In the software development process, you also need to be able to organise your activities to achieve the best possible results, i.e. you need to have the most efficient production processes and project management in place.

Toiste is powered by Adalia Oy, a company specialising in the design and implementation of cloud-based information systems. Adalia's expertise, management and processes have been honed to an excellent standard in over 15 years of operation. Designing a service for the construction sector also requires strong industry expertise, and this is provided by Adalia's Construction and Real Estate unit.

Data management has also played a role in defining processes based on the data needs of the user groups of Toiste. For example, reporting in Toiste is done against explicit data model requirements, which ensures that the right information is produced for the right need. At the same time, the data contained in Toiste also becomes a part of the knowledge management of the organisations and networks using it.

From the user's point of view, the use of the system must be easy, clear and motivating. Ultimately, a service is only as good as the information it handles. Data management insights can significantly improve the quality of information. This is why Toiste has invested in it.