While data-driven digital platforms and the recent pandemic have opened new and novel opportunities for businesses to go beyond geographical borders and compete in truly global business environments, an average business faces tremendous pressure to demonstrate the value of their operations. With the rising importance of data as the new oil of a global business […]
Case Study: New Innovations in IoT Technologies for Manufacturers
Manufacturers want to save money, conserve energy, and reduce greenhouse gas emissions, but it’s a challenge to see where and when energy use is occurring. When the utility bill arrives, a manufacturer can see how much total energy was used, but energy use is not broken down on a machine-by-machine basis. Invisible energy use hides […]
How to Become a DataOps Engineer
DataOps engineers are responsible for designing the data assembly line that allows data engineers and data scientists to gain insight from their analytics and research. DataOps engineers use processes and technologies to improve the speed and quality of projects being worked on. The DataOps philosophy can transform data teams, resulting in smaller development times, improved […]
Data Science vs. Data Analytics
The data scientist and the data analyst represented two of the “most in-demand, high-paying jobs in 2021.” The previous year, the World Economic Forum Future of Jobs Report 2020 listed these jobs at the top of a list representing most in-demand jobs across industries. In data analytics, which is often referred to as business analytics, […]
Data Management 101
Data has the potential to provide useful and necessary information when making important business decisions. To ensure management and staff have the right data for decision-making, companies must invest in Data Management solutions that improve visibility, reliability, security, and scalability. In today’s digital economy, organizations are collecting and accessing massive amounts of data. Storing accurate, […]
What You Don’t Know About Real-Time Data Is Killing You
One of the biggest pitfalls companies can run into when establishing or expanding a data science and analytics program is the tendency to purchase the coolest, fastest tools for managing data analytics processes and workflows, without fully considering how the organization will use these tools. The problem is that companies can spend much more money […]
Exploring Data Visualization in Three Steps
Data analytics has accompanied me for 15 years already. I started my career as a data analyst in a controlling department immediately following my graduation from the University of West Bohemia; I now work as a data scientist providing consultancy services for a range of different fields. The data analysis itself is the fun part. […]
How Does Data Management Drive Efficiency for Organizations?
Data-driven analytics continue to deliver sophisticated solutions for manufacturing efficiency, early disease detection, and smart capabilities building in workplaces. Thus, industry operators and leaders continue raise their expectations and demands from data technologies with every passing year. Brent Gleeson of Forbes, who regularly contributes about organizational excellence, warns that in spite of having the best […]
How Low-Code Is Bridging the Gap Between Data Scientists and Businesses
Coding is a foreign language for many high-level and C-suite executives who lead corporations today. However, it’s hard to find anyone who doesn’t understand the importance of technology and how our future will hinge on mastering it. Although many computer scientists argue in favor of low-code software for data scientists, there is an argument to […]
Data Management vs. Data Science
The shift in the business perception of data has now catapulted Data Management into new heights. Data Science is a core component of Data Management now, but Data Management and Data Science are often seen as two different activities. Working among data analysts, data engineers, and DBAs, data scientists spend their time getting the data […]