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 […]
Demystifying Metadata Management for Tech and Business
Metadata is of critical interest in today’s data-driven business environment, and there is a growing awareness of the need for both business and technical users to embrace it, says Donna Burbank, Managing Director of Global Data Strategy and author of “Data Modeling for the Business” and “Data Modeling Made Simple.” Speaking at DATAVERSITY®’s Data Architecture Online, Burbank talked about practical metadata management […]
How Data Reliability Engineering Can Solve Today’s Data Challenges
A 20-year-old article from MIT Technology Review tells us that good software “is usable, reliable, defect-free, cost-effective, and maintainable. And software now is none of those things.” Today, most businesses would beg to differ. From payments to CRM to analytics and people operations, software runs everything. Businesses rely on data to drive revenue and create better customer experiences – […]
Challenges of Data Governance in a Multi-Cloud World
Today, it would be really hard to find a business totally free of cloud services. In spite of battling centralized “no-cloud” policies in some enterprises, individual departments, work groups, and units are increasingly subscribing to services for data storage and backup, media services, CRM, hosted analytics, and more. Even developers are using Infrastructure-as-a-Service (IaaS) and […]
Data Observability and Its Impact on the Data Operations Lifecycle
The quality of the data you use in daily operations plays a significant role in how well you will generate valuable insights for your enterprise. You want to rely on data integrity to ensure you avoid simple mistakes because of poor sourcing or data that may not be correctly organized and verified. That requires the […]