“We bring strategy consulting & engineering skills to improve the success rate of AI initiatives”
About 58% of AI projects go beyond proof-of-concept and reach production. Many AI project still fail to deliver value, because the predictions are never used, or are solving the wrong problem. Getting value from AI means going beyond production. We bring the combination of strategy consulting & engineering, to help you invest in the right projects and drive them to measurable value.
Services for Business leaders
We help you streamline processes, innovate faster and generate new value. Often more can be done with the tech that is already in play in your organization, let us help to identify and realize the opportunities
Automation and process optimization
- Remove risks of inaccuracies by replacing manual (Excel) tasks or data sharing via mail.
- Reduce lead time of processes by streamlining them supported by automation (in Cloud)
Data strategy
- Optimize collection, processing and activation of your data in support of your business strategy
- Broaden analytics capabilities with data-driven innovation skills supported with centralized Analytics and BI tech
Value creation
- Create new revenue streams and products that are highly reliant on data
- Implement use of tools that are already available in your current tech stack, like advanced forecasting in BigQuery ML
Services for IT / Tech leaders
Services for IT / Tech leaders
Align your IT and cloud strategy to overall business objectives. From setting up a data product organization to post-merger tech integrations, we can support you on your tech strategy and implementation
Tech integration
- Formulate a crisp approach to integrate technology stacks post acquisition, that best match the company’s objectives.
Data product organisation
- Design and implement an organization, process and data governance model according to the Data Mesh principles.
Accelerate modernization
- Guide tech teams in formulating and rolling out cloud modernization plans that minimize distraction from innovation
CLOUD STRATEGY
- Design a Cloud Strategy that maximizes the potential of your talent & tech provider. Balancing e.g., make vs buy.
Supporting Engineering work
Getting from strategy to implementation is a challenge on its own and engineering capacity is limited. We can support you to get the most out of your engineering resources and add capacity where needed
Data analytics / science
- Build productionized predictive models on structured data. For example demand & customer lifetime value forecasts.
BI & Data engineering
- Develop new insights on real-time & batch data, visualized in productionized actionable Dashboards with common BI tools
- Data collection, processing and orchestration work on production pipelines using common OOS tools & frameworks
Services for Business leaders
We help you streamline processes, innovate faster and generate new value. Often more can be done with the tech that is already in play in your organization, let us help to identify and realize the opportunities
Automation and process optimization
- Remove risks of inaccuracies by replacing manual (Excel) tasks or data sharing via mail
- Reduce lead time of processes by streamlining them supported by automation (in Cloud)
Data strategy
- Optimize collection, processing and activation of your data in support of your business strategy
- Broaden analytics capabilities with data-driven innovation skills supported with centralized Analytics and BI tech
Value creation
- Create new revenue streams and products that are highly reliant on data
- Implement use of tools that are already available in your current tech stack, like advanced forecasting in BigQuery ML
Services for IT / Tech leaders
Services for IT / Tech leaders
Align your IT and cloud strategy to overall business objectives. From setting up a data product organization to post-merger tech integrations, we can support you on your tech strategy and implementation
Tech integration
- Formulate a crisp approach to integrate technology stacks post acquisition, that best match the company’s objectives.
Data product organisation
- Design and implement an organization, process and data governance model according to the Data Mesh principles.
Accelerate modernization
- Guide tech teams in formulating and rolling out cloud modernization plans that minimize distraction from innovation
Cloud strategy
- Design a Cloud Strategy that maximizes the potential of your talent & tech provider. Balancing e.g., make vs buy.
Supporting Engineering work
Getting from strategy to implementation is a challenge on its own and engineering capacity is limited. We can support you to get the most out of your engineering resources and add capacity where needed
Data analytics / science
- Build productionized predictive models on structured data. For example demand & customer lifetime value forecasts.
BI & Data engineering
- Develop new insights on real-time & batch data, visualized in productionized actionable Dashboards with common BI tools
- Data collection, processing and orchestration work on production pipelines using common OOS tools & frameworks
Ready to grow
We are happy to talk more
Get in touch, or visit us at our office in Utrecht – House Modernes 2.49.