We are your holistic data partner
Over time, Sparkle gradually evolved to 5 domains of expertise within the field of data, being: data platform modernization, data visualization (including data analytics), data governance, artificial 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
How Sparkle helped Fluxys to define a new risk ranking criteria for an improved gas pipeline integrity management
The customer Fluxys is Belgium’s independent operator of the high-pressure natural gas transmission network, the natural gas storage infrastructure in Loenhout and the liquefied natural gas (LNG) terminal in Zeebrugge.
Retail company uses enterprise architecture to manage a complex IT landscape
In order to get a better grip on the current IT landscape, Sparkle and a giant retail company worked together to create an Enterprise Architecture practice.
VAR migrates to a modern cloud based data platform
By implementing a modern data platform VAR reduced manual work, obtained better insights, phased out legacy software and discovered possibilities to monetize data.
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.
Marcos
DATA ENGINEER
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
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
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In this Power BI Tips & Tricks column we will answer your Power BI related questions. This time, we show you how you can change your alphabetically sorted data.
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