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 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 […]
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 […]
Digital Transformation Examples for Business Success
Today, most businesses are embracing digital transformation to meet ever-increasing customer expectations and to remain competitive and relevant in the world economy. While many organizations still struggle to adopt new technologies – often due to the lack of a tailored digital strategy and the reluctance of many to change the way of business operations that […]
7 Key Features of Data Management Systems
Data Management is the practice of gathering, organizing, securing, and storing data for an organization so it can be analyzed for business decisions. Data Management helps minimize potential errors by setting processes and policies around its usage and building confidence in the data used for decision-making throughout the company. Businesses implement Data Management systems to ensure that data […]
Writing a Data Management Plan
A Data Management plan (DMP) is normally a one- or two-page summary, outlining how data will be handled during a research project, and after it has been completed. The goal of a Data Management plan is to consider the many aspects of Data Management (such as data preservation, metadata generation, and analysis) before the project begins. It […]
Five Essential Data Architecture Principles
Data Architecture principles are a set of policies that govern the enterprise data framework with its operating rules for collecting, integrating, using, and managing data assets. The basic purpose of the Data Architecture principles is to keep the supportive data framework clean, consistent, and auditable. The overall enterprise Data Strategy is built around these principles. […]
The Business Glossary and Automated Metadata Tools
Automated metadata tools can be used to develop and build business glossaries, graphs, and data catalogs. By eliminating the human factor, metadata errors can be minimized and tasks accomplished much more quickly. Business glossaries act as the foundation for a shared and common language. Automated metadata tools can cut down on the amount of time […]
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 Architecture Challenges
The more your business grows, the more complex your business’s Data Architecture becomes. Enterprise Data Architecture challenges abound – from the beginning and throughout the journey. Data has now become the lifeblood of any business, and business data cannot survive without a solid underlying Data Architecture. Data helps businesses to identify risks and opportunities, understand […]