Data and analytics are particularly critical to today’s businesses because they improve strategic decision-making. Analytics solutions and use cases provide customers with added value in health care, retail, higher education, manufacturing, and other industries that capture a lot of valuable data. By harnessing different types of analytics available, organizations across varying industries can understand how products are […]
Data Literacy and Analytics: Where Do They Intersect?
Data is the new oil. But what good is that data if we don’t know how to leverage it? According to the Human Impact of Data Literacy report, only 32% of surveyed executives felt like they were able to create measurable value from data. Organizations are struggling to make the most of the data and analytics they […]
Analytics Governance: The Big Picture
Data Governance applied to analytics, business intelligence (BI), or data modeling is nothing new, but Analytics Governance is somewhat different from Data Governance, says Malcolm Chisholm, president of Data Millenium. Chisholm spoke at DATAVERSITY’s Enterprise Analytics Online, stating that Analytics Governance is focused within a more centralized unit rather than the distributed model Data Governance requires. “There […]
Data Science Solutions: Applications and Use Cases
Data Science is a broad field with many potential applications. It’s not just about analyzing data and modeling algorithms, but it also reinvents the way businesses operate and how different departments interact. Data scientists solve complex problems every day, leveraging a variety of Data Science solutions to tackle issues like processing unstructured data, finding patterns […]
Do You Really Need a Data Catalog?
A data catalog can be an excellent resource for a business. An important element of modern metadata management, it can make many workflows and business processes clearer, encourage better cross-departmental collaboration, and boost productivity in several key ways. Gretchen Burnham and Becky Lyons of First San Francisco Partners recently sat down with DATAVERSITY® to talk about some of the big questions in […]
How to Become a Data Quality Analyst
Data quality refers to the planning and implementation of quality management measures for the data that companies generate. The idea is that the data should fit the end goal of the data consumer’s needs – and must follow specific quality dimensions to be deemed fit for use. The role of a data quality analyst (DQA) is to ensure […]
The Role of Decision Science in Shaping Business Analytics
The field of decision science focuses on making data-informed decisions. Decision science helps to analyze the impact of a decision on the business. The best decisions are often made with a combination of data and precise business questions. The more precise the questions, the more precise the data requirements will be. Harvard’s Center for Health […]
Key Trends in Data and Analytics
In today’s world of unprecedented connectivity and advances in technology, the benefits of big data are accessible to even modestly scaled businesses. Indeed, business leaders who resist the shift to digital transformation do so at their own risk. But harnessing the power of data and analytics requires careful planning, preparation, and commitment. Where to begin? […]
Data Analytics Tools: Features and Functions
Today’s business environment is inherently data-driven. Businesses need data to stay competitive and grow their market presence – data is regarded as the “currency” of the modern world and the key to the future. Data analytics, in turn, is the process of discovering trends and patterns in large amounts of data to make intelligent decisions. It […]
Types of Analytics Used in Organizations
Data analytics in businesses help uncover competitive intelligence, actionable insights and trends. Different types of analytics enable businesses to gain an edge over their competitors. In the “data first” era, data-driven insights and decisions have become the key drivers of business performance. This post reviews the different types of data analytics routinely used in enterprises. […]