4 Key Trends in Data Quality Management (DQM) in 2024
Key Takeaways: • Implement effective data quality management (DQM) to support the data accuracy, trustworthiness, and reliability you need for stronger analytics and decision-making. • Embrace automation to streamline data quality processes like profiling and standardization. • Develop standardized processes to quickly identify and fix data issues, maintaining integrity and compliance. How confident are you […]
Gain an AI Advantage with Data Governance and Quality
Key Takeaways Data quality ensures your data is accurate, complete, reliable, and up to date – powering AI conclusions that reduce costs and increase revenue and compliance. Data observability continuously monitors data pipelines and alerts you to errors and anomalies. Then, you can correct them before they’re introduced into an AI system. Data governance ensures […]
Data Integrity vs. Data Quality: How Are They Different?
Data can be your organization’s most valuable asset, but only if it’s data you can trust. When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analysis, and reckless recommendations to become data integrity vs data quality. Two terms can be used to describe the condition […]
Trust Your Data: Building a Culture of Data Integrity
Data professionals typically regard their area of expertise as fitting squarely within the domain of hard science. After all, it’s centered around knowable facts. Even subjective information, such as customer satisfaction metrics, is ultimately rooted in a fact-based understanding of quantifiable human reactions to a product or service. It should presumably be relatively easy to […]
B2B Data Enrichment for Beginners
Your competitors use data to target your customers, discover unmet needs, and explore new markets. If you’re not using data to your advantage, you risk falling behind the rest of the pack. In a 2023 survey conducted by Gartner, customer service and support leaders cited customer data and analytics as a top priority for achieving […]
Why Data without Context Lacks Integrity
You’re likely familiar with the oath witnesses must take to tell “the truth, the whole truth, and nothing but the truth.” It’s clear why “the whole truth” is included in that promise. When someone gives you only part of the story, it can distort your understanding of the facts. At best, you get an incomplete […]
Insurance Organizations Depend on the Quality of Their Data
Insurance is an inherently data-driven industry. Even before the age of advanced analytics, experts in the industry were routinely using data to assess risk and price policies. Today, data analytics plays a more important role than ever. Innovators are in a race to see who can use it to their best advantage. Insurance carriers have […]
Data Quality Dimensions: How Do You Measure Up? (+ Downloadable Scorecard)
Virtually every business leader understands just how valuable data can be for driving innovation, increasing revenue, improving customer satisfaction, optimizing processes, and achieving compliance. A recent study from 451 Research found that almost 80% of business leaders say that data is becoming more important for effective strategic decision-making. That’s why they’re implementing tools and processes that support […]
Data Quality Trends for 2024
The demand for trusted data is at an all-time high. This was made resoundingly clear in the 2023 Data Integrity Trends and Insights Report, published in partnership between Precisely and Drexel University’s LeBow College of Business, which surveyed over 450 data and analytics professionals globally. 77% of respondents cited data-driven decision-making as the leading goal […]
What Is Data Observability and Why You Need It?
Experts estimate that the world is generating 2.5 quintillion exabytes of data every day. That information resides in multiple systems, including legacy on-premises systems, cloud applications, and hybrid environments. It includes streaming data from smart devices and IoT sensors, mobile trace data, and more. Data is the fuel that feeds digital transformation. But with all that data, there […]
How to Measure Data Quality – 7 Metrics to Assess the Quality of Your Data
Businesses today are increasingly dependent on an ever-growing flood of information. Whether it is sales records, financial and accounting data, or sensitive customer information, the accuracy and adequacy of a company’s ability to measure data quality is critical. If portions of that information are inaccurate or incomplete, the effect on the organization can range from […]
5 Characteristics of Data Quality
Data quality is crucial – it assesses whether information can serve its purpose in a particular context (such as data analysis, for example). So, how do you determine the quality of a given set of information? There are data quality characteristics of which you should be aware. There are five traits that you’ll find within […]