We balance rigour with pragmatism, so you get well-governed, right-sized data solutions without unnecessary complexity or cost.
You run or work in a business with a growth mindset. We help you turn your data into a tool for reaching your goals and future AI initiatives, with solutions tailored to you and no astronomical budgets.
More revenue, lower costs or time saved. We scope the work around the outcome you need.
Well-governed and reliable, without complexity or cloud costs you don't need.
We work in clear phases, so you see working results early and can steer as we go.
Not sure where to start?
A data assessment gives you an honest picture of where your setup stands today, plus clear next steps.
Eight disciplines under one roof. Bring us in for one of them or for the whole chain.
Turn business goals into a data roadmap and decide what to build first.
Learn moreDesign a data setup that fits your size, sources and budget.
Learn moreShape dashboards and data products around how people use them.
Learn moreBuild and run reliable pipelines on Snowflake, dbt and Google Cloud.
Learn moreReports and dashboards in Power BI, Looker and Looker Studio.
Learn moreForecasts and models that move from notebook to daily use.
Learn morePut AI and agents to work on top of well-governed data.
Learn moreData quality, access and cost-control built in from the start.
Learn moreOur passion is your data. You want to grow revenue, cut costs or save time? We help you get there faster and smarter. The result is efficient operations, better decisions and often a visible impact on your bottom line.
We work as part of your team, with regular contact.
Clear choices, clear costs, we have all of the needed conversation.
Flexible, and running when it is needed.
“Ethical business should not be just a slogan. For me personally, it's something that sits deep in my core. It's about a deeply rooted sense that things should feel right. That translates into business relationships that are built on harmony. Sometimes, that even feels close to friendship.”
i-spark is a data and AI consultancy from Groningen, in the north of the Netherlands, that helps with anything your data needs, including preparing it for AI. i-spark connects data from different sources into one reliable foundation and turns it into clear insights and automated, enriched data feeds. Clients work with i-spark through Data Team as a Service, a Composable Data Hub or Modular Products: one-time, smaller data projects such as a data assessment or a specific dashboard.
i-spark works with companies that rely on customer and event data, in e-commerce and D2C, entertainment, sports and hospitality, digital media and publishing, energy and sustainability, and tech and professional services. i-spark is always open to companies in other sectors too: if data matters to your business, it is worth a conversation.
Data Team as a Service is i-spark's model for giving companies a complete data team without hiring one. For roughly the cost of one interim hire, you get a data architect, data engineers and data analysts in a single contract. The team scales up or down as your needs change, without rigid long-term commitments. It also works for companies that already have a data team and need an extra hand or specialist support in a specific domain, such as data engineering, analytics or AI.
Yes. i-spark's Modular Products are self-contained data solutions for one specific challenge, such as a Power BI, Looker or Klipfolio dashboard, a cloud cost-optimisation check or a data assessment. Many clients start with a modular product and later move to a longer partnership.
Usually not. i-spark starts from the systems you already use and connects them into one governed source of truth. When a tool no longer fits, i-spark advises on a migration, for example when Minno moved from Tableau to Looker on a new Snowflake and dbt platform.
i-spark works privacy by default and builds data platforms in line with GDPR and the EU AI Act. Where possible, client data stays within the European Union, and every tool that may access personal data is listed in i-spark's sub-processor overview. Clients keep full ownership of their data and platform, with no vendor lock-in.
i-spark works with Snowflake, dbt, Google Cloud, AWS, Looker, Looker Studio, Power BI and Klipfolio, plus ingestion tools such as Fivetran, Segment and Snowplow. i-spark is tool-agnostic and chooses the stack that fits your setup, team and budget.
