Building a Foundation of Trust: How to Improve the Quality of Your Critical Data

Key Takeaways Inaccurate data undermines analytics, drives up costs, and damages customer trust. Implement core processes like validation, enrichment, entity resolution, and reconciliation to reduce risk and improve operational efficiency. For long-term success, build a data quality strategy that combines the right tools with clear goals, ownership, and metrics. How confident are you in the […]

Understanding Your Data: The Key to Trust and Business Success

Better decision-making, innovation, and compliance all hinge on one common factor: trusted data. And today, we’re working with more data than ever. But here’s a fundamental challenge that many organizations face – and one I’ve encountered in countless conversations with customers: they don’t fully understand what data they have, let alone whether they can trust […]

Visionary Data Quality Paves the Way to Data Integrity

New technologies are making it easier for customers to process increasingly large datasets more rapidly. And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. But early adopters realized that the expertise and hardware needed to manage these systems properly were complex and expensive. So […]

Top Challenges in Global Enterprise Data Management

Large enterprises (and even many small and midsize companies) are increasingly dealing with highly complex IT systems, often spread across multiple geographies and systems. In addition to core ERP, they are using specialized software to manage pricing, demand planning, customer relationship management, human resources, point-of-sale, and a multitude of other mission-critical functions within the business. […]

Data Quality Scorecard: How Does Your Company Measure Up?

You know a data quality strategy is important. But do you know how to assess how good of a job your company is doing at achieving data quality? Keep reading for tips on developing a data quality scorecard for your organization. Data quality refers to the ability of a given set of data to serve […]