The intersection of data lineage and Data Quality helps provide more accurate and useful information. Data Quality represents the accuracy of data. Internet businesses need good Data Quality to operate efficiently. Unfortunately, there can be obstacles in gathering, storing, and maintaining high-quality data. The use of data lineage can help eliminate those Data Quality obstacles by providing […]
Cloud Migration Best Practices
Organizations are migrating to the cloud because of various benefits: reduced administrative overhead, flexibility of expanding or contracting storage requirements at the push of a button, visible operational cost savings – and all without buying or retiring physical servers at the data center. An increasing number of enterprises and organizations see cloud migration not only […]
Data Ethics: New Frontiers in Data Governance
Would you feel comfortable serving as a Data Governance consultant for an organized crime family … but not for a brokerage with tax fraud in its past? Could the use of ransomware be considered socially acceptable if its demands benefitted needy children? These hypotheticals might sound outrageous – and indeed, they are meant to be provocative – […]
Data Literacy Skills Every Organization Should Build
Since we live in a data-driven world, companies with the appropriate talent to derive insights from business data do far better than their competitors. In today’s competitive global business landscape, modern businesses must treat their prime asset – data and data literacy skills – as a top priority to thrive and prosper in the global […]
Creating and Implementing a Metadata Strategy
Developing a metadata strategy is necessary for a growing business to maintain and improve efficiency. Metadata is a small amount of data that is used to identify a larger collection of data (images, text, files, digital objects). It is generated each time data is collected from its source, moved through a data system, accessed by […]
AI and Data Privacy: Where Do They Intersect?
According to new research from IBM, 35% of companies now use AI in their business. From health care to manufacturing to government, data-driven organizations across all major industries are realizing the benefits of AI: automation of repetitive tasks, faster processing of data, improved accuracy, and more. But as AI adoption becomes more widespread and advanced, business leaders […]
Data Science Metrics: Purpose and Uses
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 […]