Resources and insights

New premises for new adventures! On 23 May, we moved into our new premises. A big change that was not easy, but we are now well settled and ready to welcome you at our new address: 12 rue d'Oradour-sur-Glane, 75015 Paris We look forward to seeing you there!

Most companies make decisions based on only 10% of their data. If they utilized 70%, would decisions look the same? Black Tiger emphasizes the importance of a management-led approach to fully exploiting enterprise data, empowering companies to make better, data-informed decisions with internal resources and insights.

Black Tiger, Europe’s leading Master Data Platform, announces €14.5 million in funding from Arcole and Finance&Invest.brussels. This investment will fuel Black Tiger’s mission to simplify data management, enhance GDPR compliance, and advance innovative data solutions for businesses, strengthening its position as a European leader in data platforms.

In today’s data-driven world, businesses face major challenges in adapting to Big Data, as traditional tools struggle to meet modern needs. This article discusses the evolution of data management, from siloed systems to the growing complexity of Cloud infrastructures, and the urgent need for fresh, integrated approaches to data governance.

This article examines the hidden risks and costs associated with Cloud dependency, from vendor lock-in to escalating expenses and compliance challenges. It explores the advantages of transitioning to Open Source alternatives for better control, data sovereignty, and cost efficiency, empowering companies to make informed decisions on Cloud strategy.

Data governance is crucial for businesses, but rushing in without preparation can lead to wasted resources and inefficiency. This article explores the pitfalls of inadequate governance, reliance on external consultants, and compartmentalized systems. It suggests a pragmatic, scalable approach for sustainable data governance to empower businesses effectively.

High-quality data is essential for effective decision-making and compliance. This blog explores how data quality impacts business success, costs of poor data, and real-world cases like NASA’s Mars Orbiter and GDPR. Companies can ensure data quality through governance, technology, a data-aware culture, and regular audits.

Many companies face data silos, low data utilization, and quality issues, hampering decision-making. By adopting modern technology such as microservices, data virtualization, and high-performance tools, businesses can improve accessibility, achieve a unified data view, and turn data into a strategic asset for sustainable growth.

Achieving production-readiness in Big Data involves assessing infrastructure, selecting flexible architectures, ensuring data quality, embracing automation, and regular optimization. A production-ready approach allows businesses to focus on delivering value and manage IT processes more efficiently, turning data infrastructure into a powerful competitive advantage.