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 […]
Why Digital Transformation and Data Integration Are Natural Enemies – and How That Can Change
Digital transformation represents the ultimate best practice of the modern era – it signifies ongoing change driven by technological advances and expanded capabilities, helps companies and employees exceed their perceived potential, and constantly raises the bar on competition and performance. And, of course, optimal data management is at the heart of that evolution. So why does it seem […]
Data Lakes Are Dead: Evolving Your Company’s Data Architecture
You know you’re not getting the most out of your data. How can your company redesign its data architecture without making the same mistakes all over again? The data we produce and manage is growing in scale and demands careful consideration of the proper data framework for the job. There’s no one-size-fits-all data architecture, and […]
Managing Technology Assets: 10 Best Practices
The effects of the pandemic have popularized a unique work style that places a higher value on providing employees with the options of either a hybrid or a fully remote work environment for many employees. In fact, 81% of people surveyed believe hybrid work will be the foremost working model by 2024, with 56% of […]
Data Literacy Best Practices
The term “data literacy” refers to the ability to extract meaning from data. IDC, the global market intelligence expert, has predicted a “ten-fold increase in worldwide data” by 2025. It’s no wonder many data-driven organizations are in a race for an enterprise-wide data literacy initiative, with the vision of transforming their employees into data-literate workers. Global […]
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 […]
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 […]
Implementing Unstructured Data Management in Today’s Multi-Vendor, Multi-Cloud Ecosystem
One of the challenges many organizations face is managing unstructured data’s impact within today’s diverse multi-cloud and multi-vendor infrastructure environments. For IT professionals, it can be difficult to know where to start, mainly because there are many storage technology companies with their own take on unstructured data. By separating data management into four key categories, however, it’s […]
3 Data Management Tips to Help Plan for the Day After Tomorrow
Economic disruptions are forcing organizations to rethink the way they plan. Gone are the days of Excel and manual forecasting because much like the dystopian film “The Day After Tomorrow,” leaders have no idea what the next day will hold. Disruptions, whether geopolitical, pandemic, legislative, or workforce-related, never seem to end. While we may wish […]
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. […]