When one thinks of “metrics” in the context of Data Science, the term might denote raw numbers as in descriptive metrics, qualitative labels as in marketing analytics, or comparative labels as in website analytics. Metrics come in many different forms and structures, but the primary objective of Data Science metrics is to measure and report […]
Data Quality Best Practices
Using Data Quality best practices to gather accurate data is essential for gaining useful results from research and providing visiting customers with a good experience. Data has become a key part of most business transactions and operations. The quality of data that is gathered, stored, and used are major factors in the success of a […]
Data Management Careers: An Overview
As more organizations become data-driven, the demand for capable data professionals to support and advance their initiatives has never been greater. Employment in computer and IT occupations is expected to grow 15% from 2021 to 2031 – significantly faster than the average for all occupations. What’s more, data-centric roles rank among the best jobs for earning potential, job […]
Analytics Solutions: Applications and Use Cases
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 Mesh 101
In today’s complex business environment, data lakes and data warehouses may not be sufficient to meet organizational requirements. From the perspective of agility, both data lakes and data warehouses have limitations when it comes to maintaining and managing various types of data. Enter data mesh. The idea of a data mesh was born when Zhamak Dehghani, the […]
Advances in Metadata Management
With the flood of data that organizations are experiencing, metadata management is no longer optional – it has become a necessity. The concept of metadata management is fairly new because older metadata services, before this rush of data, had no significant problems locating data files. Now they do. Metadata, at its most basic, can be described […]
Six Core Data Management Challenges
With so many different ways that data can be created and collected within an enterprise, it’s no surprise that Data Management challenges abound. Data usually comes from various sources, some of which cannot be trusted to be safe and compliant with regulatory standards. It can be gathered from large numbers of sources such as smart […]
Leveraging Enterprise AI
Leveraging enterprise artificial intelligence (AI) provides a system that can automate repetitive tasks, answer questions, and improve decision-making. The AI operates machine learning extensions and automated services to deliver satisfying customer experiences and can streamline research projects. Enterprise AI can be described as a combination of machine learning and deep learning algorithms. With enterprise AI, managers and […]
Developing a Data Strategy Roadmap
A Data Strategy roadmap is a step-by-step guide to transform a business from its current state into the desired business organization. It is a more detailed, researched version of the Data Strategy and communicates when and how to implement specific advances to develop and upgrade a business’s data processes. A Data Strategy roadmap acts as a useful […]
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 […]