Just as vendors rely on U.S. mail or UPS to get their goods to customers, workers count on data pipelines to deliver the information they need to gain business insights and make decisions. This network of data channels, operating in the background, distributes processed data across computer systems, an essential framework and function for any data-driven […]
The Impact of Poor Data Quality (and How to Fix It)
The dangers of poor data quality can cause significant damage to a business. Poor-quality data can lead to poor customer relations, inaccurate analytics, and bad decisions, harming business performance. The sources of poor data quality may seem like a small issue, but it can easily become magnified as repeat errors and different types of errors […]
The Fundamentals of a Data-Driven Approach
Organizations with a data-driven approach cultivate a culture that uses data and business insights to drive all company decisions. A data-driven organization encourages all stakeholders to base everyday business activities on data and insights instead of relying on their gut. In this data-focused business environment, data analysts safely serve as the “eyes” of the business, […]
Data Literacy Training for Data Engineers
It may seem counterintuitive to think of data engineers needing to improve Data Literacy, the ability to read, work with, analyze, and argue with data. After all, data engineers apply technical Data Literacy skills to build and optimize operating systems and pipeline channels. At the same time, data engineers show gaps in using organizational Data Literacy and communicating […]
A Brief History of Semantics
As a word, “semantics” was first used by Michel Bréal, a French philologist (a language historian),in 1883. He studied how languages are organized, how languages change as time passes, and the connections within languages. Gen erally speaking, semantics is the study of language and its meaning. More specifically, semantics can be used to describe how […]
Trends in Data Governance in 2023: Maturation Toward a Service Model
Companies increasingly want to mature their Data Governance, the formal Data Management capabilities around its value as a service, in 2023. That way, organizations can respond to an uncertain business environment quickly and flexibly. While Kelle O’Neal, founder and CEO of the data consulting firm First San Francisco Partners, first identified this need for Data Governance as a […]
Machine Learning vs. Predictive Analytics
Predictive analytics and machine learning are extremely powerful tools used to predict future outcomes from large amounts of data. They help businesses gain insights, improve efficiency, and make informed decisions. With the big data space estimated to reach a value of $105 billion by 2027 (up from $37 billion in 2018), and 97% of organizations investing in big […]
The Future of Data Modeling in Data Governance
The process of Data Modeling is playing an increasingly important role when creating or improving a Data Governance program. Data Governance has become extremely complex, and the use of Data Modeling promotes understanding. One basic reason for the increasing complexity is the expanding use of data analytics for purposes of research. Another reason is complying […]
Data Architecture Trends in 2023
With the onset of the pandemic, global businesses began to realize the power of operational efficiency, scalability, and growth. With this realization came the crucial need to shift their data centers to managed service ecosystems – cloud platforms in all their variations. However, locating a suitable data center partner on the cloud has not been an […]
The Importance of a Change Management Plan for Digital Transformation
In times of uncertainty in the global business landscape, the organizations that are quick to adapt and respond to change are the ones that survive crises such as the pandemic. In the past five years and especially during the pandemic, global organizations have been under tremendous pressure to adopt digital transformation to survive. The truth is that […]