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Data Management
The Pros and Cons of Leading Data Management and Storage Solutions
Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. Each has unique advantages and drawbacks, and the right...
Data Governance Series: Part 2 – The Importance of Data Taxonomy
Data governance can be a powerful agent in scaling the use and distribution of trusted data throughout the company. However, more often than not, it conjures up the idea of a central authority strictly guarding against such access. In this 3-part series, we’ll cover...
Understanding the True Cost of Data Debt
Technology moves fast. Sometimes solutions to big challenges already exist, but more often, a problem appears before a solution. Companies must then take creative measures to “fix” technology challenges, leaving them with temporary solutions that quickly obsolesce....
Self-Service as a Productivity Enabler for Experts
When discussing self-service tools for data and analytics, people usually place their focus on the goal of enabling non-experts to do more things for themselves. While enabling citizen data scientists, citizen data engineers, and others to do more with data and...
Improve Your Customer Data Platform with DataOS
Customer data platforms (CDPs) are increasingly popular sources of customer insights. These systems are usually owned and operated by an enterprise marketing department and provide data for insights into customer trends, behavior, and customer 360 analyses....
Building a Future in Banking and Capital Markets
Banking and Capital Markets are undergoing a period of transformation. The global economic outlook is somewhat fragile, but banks are in an excellent position to survive and thrive as long as they have the right tools in place. According to Deloitte’s report 2023...
Holiday Downtime, Without Data Downtime
Data center downtime can be costly. Gartner estimates that downtime can cost $5,600 per minute, extrapolating to well over $300K per hour. When your organization’s digital service is interrupted, it can impact employee productivity, company reputation, and customer...
A Look Back: How DataOS Enabled Gartner’s 2022 Trends
Gartner’s Strategic Technology Trends for 2023 was just released, but before we address their predictions for the upcoming year, we want to take a look back. The Modern Data Company has been working hard to refine DataOS and build a new paradigm for using data....
How Companies Can Leverage Each of Gartner’s 2023 Strategic Technology Trends
Gartner’s newest strategic technology trends are in for 2023, and they echo something The Modern Data Company (Modern) has been saying for a while: simply having data isn’t going to create a competitive edge. The list prioritizes optimizing, scaling, and pioneering...
$44 Billion: The Cost or Return on Data
The Case of Twitter Twitter handles around 500-700 million tweets per day, equating to roughly 12 terabytes of data every 24 hours. Another way to understand the scale is to consider that this amounts to over 4K terabytes of data each year. Even with an army of the...