Articles
10 Risks of IoT Data Management
What Is IoT Data Management? IoT data management refers to the process of collecting, storing, processing, and analyzing the…
Identifying and Addressing Data Overload
Increased data generation requires modern businesses to manage vast volumes of information. All this data holds immense potential for…
How to Be a Data Shaman
My late wife, Becky Dearborn, was very interested in Native American culture, art, and mythology. Through her…
Reimagining Data Preparation for High-Impact Decision-Making
Data often arrives from multiple sources in inconsistent forms, including duplicate entries from CRM systems, incomplete spreadsheet…
Latest Content
Columns
Eyes on Data: The Value of Data Products and Innovation for AI Optimization
Artificial intelligence has entered a phase that feels both inevitable and strangely precarious. The hype is unmistakable. So is the sense that…
A Step Ahead: Quantum Computing and Data
Introduction This article is the first in a series exploring how quantum computing could change the way we process and work with data.…
Data Speaks for Itself: Dating in the Data World
I’m sure that you know an interesting story about dating. Finding that right person is not easy and the journey often includes many…
The Art of Lean Governance: Elevating Reconciliation to Primary Control for Data Risk
For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented, standards are…
Blogs
Storytelling with Data: Crafting Compelling Narratives
Imagine you’re in a meeting and the analytics team bombards you with numbers. Sales have dropped by X%. Ad spend has increased by Y%.…
Data Insights Ensure Quality Data and Confident Decisions
Every business (large or small) creates and depends upon data. One hundred years ago, businesses looked to leaders and experts to…
Preparing CRM Data for AI: Architecture, Quality, and Governance Considerations
Many enterprise AI initiatives continue to struggle — with 95% failing to deliver ROI due to inadequate data infrastructure…
Data Errors in Financial Services: Addressing the Real Cost of Poor Data Quality
Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage…
Features
Designing Always-On Data Platforms for a Distributed Workforce
The modern workforce is no longer bound by location, time zone, or corporate networks. Data engineers, analysts, and business users now…
Decentralized, Centralized, and Federated Data Governance
In my discussions with CIOs over the last several years, they have repeatedly told me that they strongly dislike traditional data…
The Role of Citizen Data Scientists vs. Data Scientists in Augmented Analytics
If you are an IT professional, a business manager, or an executive, you have probably been following the progress of the citizen data…
How to Build a Robust Data Architecture for Scalable Business Growth
In the digital age, businesses rely on high-quality, easily accessible data to guide all manner of decisions and encourage growth. However,…
Building Robust Cybersecurity Frameworks with Outdated Infrastructure
Infrastructure security is a leading concern for cybersecurity professionals today. Cybercriminals are targeting industrial systems with…
A New Day in the Life of an Enterprise Storage Admin
A day in the life of an enterprise storage administrator was once mired in a schedule of tedious, manual work while managing…
Combining Traditional and Modern BI Tools
Business Intelligence (BI) solutions have been around for some time. Traditional BI tools were designed to be used by the IT team, business…
Data Governance and Curling
As an avid curler (three to four times per week!), I had an epiphany while on the ice with my team. Our team has been together since 2018…
When the Vendor Defines “Responsible AI”
When veteran human resources leaders ask questions like “Can AI care for the worker?” or praise AI’s potential while their…