Data is expanding in volume, variety, and sources; therefore, so is the business need for trustworthy, accurate, and timely data for on-demand “competitive intelligence.” Data fabric use cases offer a long-range technological solution for handling the myriad challenges that come with such a complex data ecosystem. This “converged platform,” designed with a unique architecture and […]
Knowledge Graphs: Context, Compliance, and Connections
“Graph is leaving a larger and larger footprint. And that is good,” said Thomas Frisendal in Knowledge Graphs and Data Modeling. Gartner named knowledge graphs as part of an emerging trend toward digital ecosystems, showing relationships among enterprises, people, and things, and enabling seamless, dynamic connections across geographies and industries. Elisa Kendall and Deborah McGuinness, […]
Updating Data Governance: Set Up a Cohesive Plan First
Enterprises are taking Data Governance—planning and programming to control and secure data—more seriously. In a recent DATAVERSITY® Trends in Data Management Report, 76 percent of organizations have a Data Governance program in place or such a plan for the future. This makes sense as companies focus more on security and business growth. Data breaches have […]
Turning Data into Knowledge: Three Key Enablers for a Better Data Strategy in 2021
Click to learn more about author Kendall Clark. The mandate for enterprise IT to deliver business value has never been stronger. Today tech professionals are key participants in helping drive enterprise business strategy. Yet, to be truly effective, they are quickly learning that agility is the key enabler. Hampered by data strategies that leave teams […]
The Independent Samples T-Test Method and How it Benefits Organizations
Click to learn more about author Kartik Patel. The independent sample t-test is a statistical method of hypothesis testing that determines whether there is a statistically significant difference between the means of two independent samples. For example, one might use this method of analysis to determine whether the average value of a sedan type of car […]
Seven RPA Use Cases and Applications for Diverse Industries
Click to learn more about author Ved Raj. Customer demand is increasing every day for small, moderate, and large-level businesses to adopt more modern approaches. It has been observed that organizations that are integrating advanced technologies like robotic process automation (RPA) into their back-end operations are able to increase the exponential growth of business metrics. […]
Self-Service Analytics Use Cases
Self-service analytics offers dynamic reports to business users, who can analyze the data by sophisticated, in-built functions. This kind of user empowerment reduces reliance on IT staff. Moreover, self-service business intelligence (BI) capability may additionally equip users with external data access and built-in features to instantly generate finished reports. To use a complete range of […]
Predictive Analytics: A Game Changer for the Healthcare Industry
Click to learn more about author Sanjay Vyas. Predictive analytics uses machine learning and artificial intelligence on historical and real-time data to make predictions about future events. For many years, the healthcare industry has been advancing the promise of predictive analytics to drive decisions that improve patient outcomes, increase operational efficiencies, reduce healthcare spending, and […]
What is Hierarchical Clustering and How Can an Organization Use it to Analyze Data?
Click to learn more about author Kartik Patel. This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes. What is Hierarchical Clustering? Hierarchical Clustering is a process by which objects are classified into a number of groups so that they are as much dissimilar as […]
Data Governance and Data Quality Use Cases
Given the high volume of erroneous data floating across the enterprise, it is increasingly difficult for industry operators to make business decisions or plan any course of action based on such poor-quality data. Moreover, what’s the point of applying advanced analytics or BI technologies on data that is flawed? A whitepaper titled Getting Ahead of […]