Businesses engage in mergers and acquisitions (M&A) to gain new capabilities, remove competitors, reduce operational costs, and join new markets. In the first half of 2024, the global value of M&A activity was $1.0 trillion, 4% higher than it was during the same period last year. M&A requires meticulous attention to regulatory and compliance issues. Navigating these […]
Strategies for Managing Data Debt in Growing Organizations
As organizations scale, data debt can accumulate silently, affecting productivity, efficiency, and decision-making quality. Data debt refers to the accrued cost of shortcuts and inefficiencies in data management that may have once seemed expedient but ultimately hamper long-term growth. Over time, whether it’s due to process changes, platform switching or growth, organizations find themselves boggled down […]
The Connected Revolution: How Integrated Intelligence Is Reshaping Drug Development
Connected intelligence (CI) and end-to-end quality are two concepts that, when combined, have a transformative impact on the future of drug development and clinical trials, marking a significant change in how pharmaceutical companies manage the process of bringing new products to market. By combining different technologies and methods to build a smooth, data-focused environment that improves quality, efficiency, […]
Corporate Data Governance: The Cornerstone of Successful Digital Transformation
In today’s evolving digital landscape, organizations are under immense pressure to innovate and adapt swiftly. Digital transformation is no longer a luxury but a necessity for businesses aiming to stay competitive. At the heart of this transformation lies data – a critical asset that, when managed effectively, can drive innovation, enhance customer experiences, and open […]
Building a Strong Data Retention Framework for Retail Operations
In today’s data-driven world, organizations manage vast amounts of data. As enterprises expand and grow business functions, there’s corresponding linear growth in operational data. This encompasses both master data and transactional data. While master data might change less frequently than transactional data, implementing data governance practices and defining data retention policy is crucial to maintaining […]
AI Technologies and the Data Governance Framework: Navigating Legal Implications
Artificial intelligence (AI) is revolutionizing how organizations use data, and these big changes are providing capabilities for improved decision-making and predictive insights. However, as AI becomes more integrated into business and daily life, it also introduces legal complexities that require careful oversight. Issues like intellectual property rights, bias, privacy, and liability are central concerns that […]
Reflecting on 2024: What We Got Right, What We Got Wrong, and What We Learned
Around this time of year, many data, analytics, and AI organizations are planning for the new year, and are dusting off their crystal balls in an effort to understand what lies ahead in 2025. But like all predictions, they are only helpful if they are right. If you are a fantasy sports fan like me, […]
What to Expect in AI Data Governance: 2025 Predictions
In 2025, preventing risks from both cyber criminals and AI use will be top mandates for most CIOs. Ransomware in particular continues to vex enterprises, and unstructured data is a vast, largely unprotected asset. AI solutions have moved from experimental to mainstream, with all the major tech companies and cloud providers making significant investments in […]
Focusing on Data Privacy: Building Trust and Strengthening Security
In today’s digital age, managing and minimizing data collection is essential for maintaining business security. Prioritizing data privacy helps organizations ensure they only gather necessary information, reducing the risk of data breaches and misuse. This approach addresses potential vulnerabilities at their source, mitigating the impact of breaches and avoiding regulatory penalties as scrutiny over privacy […]
From Input to Insight: How Quality Data Drives AI and Automation
More and more enterprises are looking to automation and AI to deliver new efficiencies and give their organizations an edge in the market. Data is the engine that powers both automation and AI. But data must be clean and user-friendly for these systems to work effectively and deliver on their promise. Lots of organizations are […]