MAXIMIZING THE VALUE OF DATA

We improve decision making

We are your holistic data partner

strategic advice, implementation & adoption

Over time, Sparkle gradually evolved to 5 domains of expertise within the field of data, being: data platform modernizationdata visualization (including data analytics), data governanceartificial intelligence enterprise architecture. Find out more about these domains by clicking on the circles.

This allows Sparkle to guide it’s customers beyond purely technical data challenges and become a trusted end-to-end data partner for its customers.

Customer challenges we helped solve

Careers at Sparkle

To spark something, is to start small, but quickly spread further. We believe Sparkleers should sparkle their joy and passion for data.

AnneliTomingas

Anneli

POWER PLATFORM CONSULTANT

“At Sparkle, collaboration thrives, passion drives progress, and kindness sets the tone. Being part of such a supportive team makes each day rewarding and meaningful.”

people working at Sparkle

An

SENIOR DATA STRATEGIST

“I selected Sparkle for its human-focussed and fun culture that is guided by no-ego leadership. I like their holistic data approach and seeing that strong seniors are willing to guide juniors.”

Simon

Simon

DATA SCIENCE & ENGINEERING CONSULTANT

“Working at Sparkle is great because you are surrounded by experienced and enthusiastic people willing to help you grow further as a professional and human”

Get more insights & news

Articles

Webinar: Medallion Architecture

Join us for an insightful and interactive webinar where industry expert Piethein Strengholt will explore the foundations and practical applications of the Medallion Architecture.
Originally introduced by Databricks, this architecture has become a crucial component for modern data platforms, and our exclusive session will break down its key concepts.

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Power BI

How to easily manage sources in Power BI

Avoid repetitive work when sources change in Power BI! By using parameters to centralize file paths or source queries to manage transformations, you can save time and simplify updates.
Whether working with multiple queries or building a star schema, these techniques ensure efficient, adaptable models. Combine both methods for even greater flexibility. Small changes, big impact!

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