Resources and insights

Too many data tools and data you can’t trust? Data leaders are facing escalating demands from the business while battling data that’s not fulfilling business needs. Learn why a master data management (MDM) platform can give you the control and trusted data you need in this Master Data Management Buyer’s Guide.

The EU Data Act is reshaping the European data economy, with sweeping changes that affect manufacturers, cloud providers, public authorities, and businesses of all sizes. While the regulation imposes new compliance obligations—like data-sharing rules, cloud switching rights, and protections for trade secrets—Black Tiger sees this moment as more than just a legal challenge. It’s a strategic opportunity. This blog unpacks the key aspects of the EU Data Act, who it impacts, how it will be enforced, and most importantly, how organizations can stay compliant while unlocking new value.

Every company says it wants to be “data-driven,” but few actually succeed in making data part of their DNA. This blog explores data culture—what it is, why it matters, the challenges companies face, and practical steps you can take to build a strong data culture at your organization.

Regulators and boards now see data governance as a strategic priority. In this blog, Reed Overfelt, CEO of Black Tiger, outlines what they expect—proof, transparency, and accountability—and shares how CEOs can build trust and stay ahead of compliance demands.

In this blog, Reed Overfelt, CEO of Black Tiger, identifies the top 5 key trends that are shaping the next wave of enterprise data management and expands on the importance of each. These trends reflect the evolving role of CIOs from IT operators to strategic growth partners.

Before launching any new AI initiative, companies need to evaluate their data integrity. Without clean, consistent, and well-governed data, AI becomes a liability rather than an asset. In this post, Black Tiger CEO Reed Overfelt explores the risk of flawed data and puts forward Master Data Management (MDM) as the solution.

In today’s digital-first era, businesses generate and rely upon data at an unprecedented scale. From customer transactions and marketing metrics to sales pipelines and operational reports, data fuels every aspect of a modern organization. Yet the very data that promises game-changing insights often remains fragmented, messy, and untrustworthy—leading to poor decision-making and slowed growth.

In today’s data-driven world, businesses face tremendous pressure to leverage every byte of information for strategic decision-making. But when your data is scattered across cloud platforms, on-premise databases, legacy applications, and various third-party solutions, deciding how to manage and use it effectively becomes complex. Should you migrate all of your data into one system—or should you integrate it without physically moving it?

In today’s data-driven world, organizations face an ever-growing need to harness the power of data. Whether it’s for business intelligence, predictive analytics, or simply improved operational efficiency, the ability to rapidly transform raw data into actionable insights can be a game-changer. However, the journey from scattered data sources to meaningful insights has traditionally been complicated, lengthy, and highly dependent on specialized data engineering teams.