Data strategies

Data strategies concentrates on the areas where most organisations struggle and where machine learning models can put into production.

When mapping out a data strategy the processes within a company are researched. Data is then collected, corresponding to the process. To complete the strategy the raw data is transformed to information that is of value to the company.






Data audit

During the data audit we find the hotspots where attention is needed. We inventory the data warehousing and analyse different data sources on their compatibility, quality, and relevance to the business case.

The outcome of the results are presented in a detailed report. This report contains an overview of our findings as well as actionable advice of potential future steps.



Intelligence and analysis

We use Machine Learning models, Artificial Intelligence, and Big Data algorithms to uncover new insights detect patterns or predict future events.

Data-driven intelligence impacts a company on a strategic level as well as during daily decision making. Implementing this adds an extra dimension to multiple levels of a company.

We analyse the impact of our machine intelligence by validation. Models are used to predict outcomes of the recent years, which are then compared to the actual outcomes.






Application development

Delph develops data applications which allow data solutions to become part of the day-to-day business operations. These data applications continuously provide new insights using real-time data.

Our web applications are tailored to meet your wishes and company needs. We possess a web interface where you can access our insights with ease. These insights can also be integrated in your internal software with the use API’s