Data analytics resources and information

Data analytics News

September 21, 2021 21 Sep'21
Pandemic continues to highlight importance of analytics

Organizations with successful analytics programs have weathered the economic crisis caused by the pandemic far better than those who have not prioritized BI, according to research.
September 16, 2021 16 Sep'21
Domo adds collaborative development tool to analytics suite

Domo has unveiled Sandbox, a new portal for developing and testing data assets that enables collaboration and provides safety and governance measures.
September 15, 2021 15 Sep'21
Uplevel analytics tools lift software engineering efficiency

Uplevel, a startup vendor whose focus is on improving the efficiency of software engineers, unveiled a set of new capabilities that use data to monitor software design projects.
September 15, 2021 15 Sep'21
Tableau and DotData partner on AI automation, visualization

Tableau and DotData partner to help data scientists and engineers accelerate machine learning automation while adding a visualization layer to model building.

Bring yourself up to speed with our introductory content

customer intelligence (CI)

Customer intelligence (CI) is the process of gathering and analyzing information derived from customer data that an organization collects from both internal and external sources. Continue Reading
ASCII (American Standard Code for Information Interchange)

ASCII (American Standard Code for Information Interchange) is the most common character encoding format for text data in computers and on the internet. Continue Reading
data mining

Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

Data science vs. machine learning vs. AI: How they work together

Data science, machine learning and AI are central to analytics and other enterprise uses. Here's what each involves and how combining them benefits organizations. Continue Reading
8 top data science applications and use cases for businesses

Data scientists engage in various applications to analyze data and create technologies. These are eight common ones, with examples from different organizations and industries. Continue Reading
How to structure and manage a data science team

Data science teams typically include various analytics and data professionals and can be set up in different ways, as explained here along with tips on managing them. Continue Reading

Learn to apply best practices and optimize your operations.

Data and analytics key to ensuring water quality

In an interview, Meena Sankaran, founder and CEO of water intelligence vendor Ketos, discusses water safety and how data can help monitor water quality and prevent problems. Continue Reading
How augmented analytics in healthcare improves patient outcomes

High quality data has become essential to quality healthcare. Explore how augmented analytics is aiding healthcare organizations' efforts to provide better care for patients. Continue Reading
How to hire data scientists

Enterprises tend to want data scientists who have a drive to continue their training, through peer training or online platforms, to keep up with ongoing changes in the field. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

10 big data challenges and how to address them

Bringing a big data initiative to fruition requires an array of data skills and best practices. Here are 10 big data challenges enterprises must be ready for. Continue Reading
Data science's ongoing battle to quell bias in machine learning

Machine learning expert Ben Cox of H2O.ai discusses the problem of bias in predictive models that confronts data scientists daily and his techniques to identify and neutralize it. Continue Reading
Overcoming the top 3 analytics adoption challenges

Analytics is a growing part of many businesses. Experts talk about some of the most pressing challenges enterprises may face when implementing new analytics strategies. Continue Reading