Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical culture, where high volumes of opaque data are thrown arbitrarily at an algorithm until it yields useful business intelligence. What does this mean in terms of data audit? Let’s discuss 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 […]
How to Overcome the Plateau of Data Analytics Advancement in Today’s Data Overload
The last few years have seen an astronomical increase in the amount of data being created, stored, and shared. According to the IDC, 64.2 zettabytes of data were created or replicated in 2020 largely due to the dramatic increase in the number of people staying home for work, school, and entertainment. The firm also projects the […]
Focus on Your Most Critical Data Lineage to Manage Risk
Data lineage is extremely important since unknowns in the data flow are a root cause of enterprise risk. Enterprise Risk Management and Data Governance professionals are teaming up to implement the “Three Lines of Defense” model (3LOD). The goal of 3LOD is to provide an early detection and risk mitigation warning system. Line 1 includes Management […]
As Data Privacy Concerns Ramp Up, the Need for Governed Real-Time Data Has Never Been Greater
This year’s Privacy Awareness Week (May 2-8) may be over, but it served as a reminder to look beyond the usual access controls and think about how analytics could be used to support compliance. Data privacy is essential for any business, but it is especially important at a time when consumers are taking notice and new regulations are being deployed. […]
Trends in Data Architecture
What role have Data Management and Data Architecture played in data-driven organizations, especially during the tumultuous and uncertain period at the beginning of the COVID-19 pandemic? Industry thought leader Donna Burbank, the Managing Director of Global Data Strategy, discussed these issues in her presentation Trends in Data Architecture at DATAVERSITY®’s Data Architecture Online conference last July. Burbank shared insights from a 2020 […]
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 […]
Transforming the Hybrid Work Environment with Business Process Automation
For decades, businesses were largely office-first, leaving little room for employee choice in how or when they work. As employers adjust to the post-pandemic future of the office, today’s fast-paced workflows and client demands have changed how knowledge workers access and use data. Properly and efficiently accessing data and information for employees to make informed decisions remains a […]
Why Isn’t Privacy by Design a Panacea for Data Breaches?
In his latest book, “Why Privacy Matters” (2022), Neil Richards connects privacy with the social power human information provides over others. Because this power is not always channeled in ways that benefit humans, ensuring the privacy of human information is of paramount importance for building a society where our roles as situated consumers and workers are […]