“Can I trust this data?” In the dawning age of artificial intelligence (AI), this question becomes increasingly critical for individuals and organizations. Data reliability is the cornerstone of an organization’s data-driven decision-making. A recent survey from Precisely identified data-driven decision-making as the primary goal of 77% of data initiatives, yet only 46% of organizations have high or very […]
Building Trust in the Digital Age: The Role of Data Verification
Data has famously been referred to as the “new oil,” powering the fifth industrial revolution. As our reliance on data-intensive sectors like finance, healthcare, and the Internet of Things (IoT) grows, the question of trust becomes paramount. Trust is a multifaceted issue when dealing with data and events, and one core component is data verification. […]
The Challenge of Data Accuracy
Data has become one of the most valuable assets of modern businesses. The data a company collects, analyzes, and monetizes is now perceived as a distinct “asset class” rather than merely a byproduct of its IT operations. However, the value of data to an organization diminishes rapidly as the information becomes less accurate. Companies are responding […]
Data Quality Management 101
Data Quality Management is necessary for dealing with the real challenge of low-quality data. Data Quality Management can stop the waste of time and energy required to deal with inaccurate data by manually reprocessing it. Low-quality data can hide problems in operations and make regulatory compliance a challenge. Good Data Quality Management is essential for […]
Data Quality Metrics: Importance and Utilization
Data Quality metrics are a measuring system that allows the “quality of data” to be evaluated. Data Quality metrics can be used to determine how useful and relevant data is, and it helps to separate high-quality data from low-quality data. It is much easier—and safer—to make business decisions based on reliable information. Poor information (based […]
Three Reasons to Take a More Holistic Approach to Data Management
Click to learn more about author Olivia Hinkle. Taking a holistic approach to data requires considering the entire data lifecycle – from gathering, integrating, and organizing data to analyzing and maintaining it. Companies must create a standard for their data that fits their business needs and processes. To determine what those are, start by asking […]
Case Study: Department of the Interior Lays Out Steps for Metadata Implementation
After the U.S. Office of Management and Governance issued the Open Data Policy, federal agencies set to the task of developing Enterprise Data Inventories to support a mandate of government transparency. The Department of the Interior (DOI) took this opportunity to create and implement a Metadata Management framework using an enterprise approach, properly documenting data […]
Data Quality Then and Now: What’s the Difference?
Click to learn more about author Emily Washington. Each year we undergo significant transformation in the information technology (IT) industry. However, 2020 is a year for the history books. Evolution in IT usually happens organically. As priorities change, so do technologies, processes, people, and techniques. When the term “big data” became mainstream last decade, IT […]
Virtualize or Replicate? Accessing Your Data in Hybrid Cloud Architecture
Click here to learn more about Joe deBuzna. The term “hybrid cloud” has no single definition. When it was first used, it typically meant a combination of a private and public cloud. Since then, the term has taken on a broader meaning, including (public) cloud offerings from multiple vendors. For this post, I’m using Gartner’s […]
Can Big Data Help Save Endangered Species?
Click to learn more about author Harsh Arora. Big Data is a popular term used frequently by technology experts. Universally it refers to the processing of massive and complex data sets, which help in analysis. Complex data requires simple presentation and large data needs statistical conversion and comparison; both are likely to be misinterpreted or have […]