Deliver value from data

Turn your data into a value driver

We assist you in transforming your data initiatives into a value driver, rather than a cost center. By using machine learning, AI, and GenAI when needed, and focussing on data transformations and statistical calculations when possible, we increase your ROI on data.

Select your use-case

The success of your data journey heavily depends on the order you deliver use-cases. We at Dataminded always advise you to deliver your data platform iteratively in conjunction with your first use-cases. Even though running straight into doing machine learning looks a fun challenge, we prefer first providing insights, then move to more complex statistical calculations before we end up with true advanced analytics use-cases requiring machine learning and artificial intelligence. It's all about getting the foundations right and proving value along the way.

When asking around in your organization, you will rapidly gather a boatload of possible use-cases. We can help you to map them into a value-effort matrix, perform a risk assessment and align them with your data platform roadmap. This allows us to craft a roadmap of data use-cases which will prove value in weeks, not months or years.

Measure the impact

While we advise you to define an expected impact from future use-cases, you should also measure whether you meet these expectations when they are put into production. Measuring the impact of data is typical a though challenge: it is hard to define the value from a report for internal use-cases, whereas for customer facing use-cases it is hard to assign which impact belongs to your data initiative and which to front-end related optimizations or call-center agent excellence to give a few examples.

Together with our customers, we shape measures that you can track to prove a positive ROI of data. We always focus on both the quality of the solution, as well as the impact of the use-case. For reports this means we look to data quality and the decisions made based upon them, for advanced analytics use-cases on the other hand, we look to model performance and the actions based on the model predictions. We never stop with just the data, we care about the positive impact of data on your organization!

Add ML & GenAI capabilities

The combination of our data strategy offering and data maturity index, allows us to define your roadmap to the future. When your use-case portfolio includes valuable advanced analytics use-cases, we will help you build up towards these capabilities and add them to your data architecture. Once arrived at this fascinating step in your data journey, our experienced machine learning engineers can assist you throughout the entire process of data collection, algorithm selection, model training and evaluation, and MLOps.

We recommend the most suitable ML algorithms and techniques based on the use-case requirements and data characteristics. We develop, train, and evaluate ML models using best practices to ensure they meet the defined success criteria. We will implement performance monitoring to continuously monitor the behavior of your algorithms. We will develop strategies for model retraining to either adapt to the arrival of new data, or purely to improve the model. We do not only focus on the mathematical performance of models: in the end you build use-cases to obtain value, hence we will measure the business impact of your machine learning use-cases.