Data Integrity vs. Data Quality: How Are They Different?

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

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

B2B Data Enrichment

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

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 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)

Data Quality Dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness

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

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?

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

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

5 Characteristics of Data Quality: accuracy, completeness, reliability, relevance, and timeliness

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 […]

Data Cleansing: How to Get Rid of Bad Data

Data Cleansing: How to Get Rid of Bad Data

Bad data costs time and money. The majority of companies know that bad data is an issue, yet have no solid plan in place for eliminating bad data and its effects. In fact, one study concluded that 85 percent of companies know that they are using data that is incorrect or out of date, and as […]

Top 3 Ways to Improve Patient Care Through Healthcare Data Governance

The Top 3 Ways to Improve Patient Care Through Healthcare Data Governance

Healthcare data governance also known in the industry as “information governance,” refers to a framework that manages data assets to ensure confidentiality, appropriate access, and accurate maintenance and storage of patient information. Traditionally, it’s also supported regulatory compliance efforts at both the state and federal level (HITRUST, HIPAA, and PII protection, for example). Looking beyond security […]