It is tempting, when pursuing a project that requires heavy use of data, to focus just on that particular project. Collect or locate the data needed to answer the question at hand, work out the conclusions based on that data, act on the conclusions, and discard the data. But there has been a growing awareness, […]
2023: Mitigating Data Debt by Knowing or by Guessing?
One of the newer data buzzwords is “data debt.” Actually, it is approximately 10 years old, and it became popular ever since agile people realized that postponing things creates not only technical debt, but certainly also data debt. Will we, in 2023, be better at not creating so much data debt, and will it be […]
Data Privacy Day Is Here – Why Organizations Should Care
Data Privacy Day is celebrated on January 28th each year in the United States, Canada, and 49 other countries in an international effort to raise awareness around data privacy. It is meant to commemorate the 1981 signing of Convention 108, the first international, legally binding treaty surrounding data and privacy protection, but it is more impactful […]
How Reverse ETL Powers Modern Customer Marketing: Concrete Examples
How often do you take the time to fill out feedback forms or surveys about the products and services you use? If you’re part of a customer marketing team, you know that most people would say “not very often.” This is precisely the plight of the average customer marketer. Up until recently, feedback forms and […]
What to Expect from AI, Data Science, and Wearables in Health Care in 2023
AI and data science have remained areas of focus in the last year and will continue to be top of mind for many tech companies in the coming year. Wearables, especially those with health monitoring capabilities, have also grown abundant as medical and consumer companies alike ramp up their offerings in response to increased demand. […]
Are Data Warehouses Still Relevant?
Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. The emergence of advanced data storage technologies, such as cloud computing, data hubs, and data lakes, makes us question the role of traditional data warehouses in modern data architecture. Data warehouses were first introduced in the […]
Understanding the Five Tenets of Intelligent Automation
Data-driven decision-making is a critical aspect of modern business operations, with most organizations leveraging enterprise applications to execute their business processes easily and effectively. However, the users of these tools have historically needed to make a majority of their decisions manually, outside the software, creating inefficiencies that have a negative impact on operations. Businesses are […]
Cyber Storage Resilience: How to Impact and Safeguard Data in 2023
All enterprise data ends up on storage systems, but if an enterprise storage solution does not have the cyber storage resilience to combat a cyberattack, the C-suite and the IT team are leaving the organization severely exposed. This realization is the trigger for what I see as the number one trend in data storage in 2023: making […]
How Federated Learning Is Helping to Overcome Obstacles in Machine Learning
Federated learning is a machine learning technique that allows multiple parties to train a model without sharing their data. It is being used across several industries, from mobile device keyboards to health care to autonomous vehicles to oil rigs. It is particularly useful in situations where data sharing is limited by regulation, or is sensitive or proprietary, […]
Goodbye Dashboards: How Modern BI Tools Are Being Used to Analyze Data
Not all that long ago, the only way for businesses to readily access their data was through dashboards. And, even then, these predefined and static dashboards provided data that was restricted only to citizen data scientists and data analysts. Standalone, static dashboards also inadvertently distract users and force them to shift their focus from their typical tasks […]