Resources and insights

Data integration streamlines operations by automating processes and reducing errors, enabling real-time decision-making, and breaking down silos between departments for seamless collaboration. It also supports scalability by managing increasing data complexity and ensures regulatory compliance with clean audit trails.

Bad data can silently sabotage your business, leading to wasted marketing budgets, operational inefficiencies, and missed growth opportunities. It skews insights, disrupts decision-making, and erodes trust, costing businesses billions annually. This post highlights the tangible impacts of bad data, from increased costs to reputational damage, and outlines strategies for data cleaning, validation, and governance to unlock the full potential of accurate data.

To succeed with AI, businesses need high-quality data. This post outlines five essential steps for making data AI-ready: ensuring quality, consistency, completeness, timeliness, and removing duplicates. These practices allow AI to deliver reliable insights, preventing costly errors. Quality data is fundamental for AI-driven growth and decision-making.

The Virtual Database (VDB) is a transformative approach to data management, offering unified access to disparate sources without physical data movement. VDB benefits include cost efficiency, enhanced governance, and unified data access. Case studies from companies like American Airlines and Constance Hotels highlight VDB’s impact on customer experience, operational efficiency, and cost savings.

Organizations often struggle with fragmented data from multiple systems and databases. Implementing a Single Entity View (SEV) centralizes data into a unified, accessible asset. With the right strategy, companies can streamline data access, enhance real-time insights, and transform operational efficiency, gaining a competitive edge.

Modern businesses face complex data challenges with specialized roles handling data engineering, analysis, and governance. However, advanced data management technology is paving a way to streamline and unify data processes, offering a holistic strategy for efficient data handling and unlocking competitive advantages.

Data sharing with partners can unlock new opportunities, but it requires safe, ethical, and GDPR-compliant practices. Clear agreements, a neutral intermediary for data linkage, and respect for consumer rights are essential. Proper organization, transparency, and secure processing techniques are key to building trust and maximizing the value of shared data.

Data Protection Day, celebrated globally on 28 January, was established by the Council of Europe to raise awareness about data protection rights. Marking the anniversary of Convention 108, it promotes public understanding of privacy. This year, the Convention 108 Committee will present the inaugural Stefano Rodotà Award for data protection research.

With third-party cookies disappearing, zero and first-party data are essential for businesses. Zero-party data is voluntarily shared by customers, showing trust, while first-party data comes from direct interactions. Collecting this data offers accuracy, relevance, cost-efficiency, and compliance, helping businesses create personalized campaigns without privacy risks.