The COVID-19 global pandemic has changed the ways we work, including how we use data, forever. Amidst the crisis, the analytics industry is experiencing its own paradigm shift.

During the process of turning data into insights, the most compelling data often comes with an added responsibility—the need to protect the people whose lives are caught up in that data. Plenty of data sets include sensitive information, and it’s the duty of every organization, down to each individual, to ensure that sensitive information is handled appropriately.

We rely on advanced data platforms that extract data from multiple sources, clean it, and save it so data scientists and analysts can gain insights from data. Data seems to flow seamlessly from one location to another, supporting our data-driven decision-making. The entire system runs smoothly because the engineering operations under the hood are correctly set and maintained.

COVID-19 vaccines were developed in record time. One of the main reasons for the accelerated development was the quick exchange of data between academia, healthcare institutions, government agencies, and nonprofit entities. “COVID research is a great example of where sharing data and having large quantities of data to analyze would be beneficial to us all,” said Renee Dvir, solutions engineering manager at Cloudera.

According to Harvard Business Review, South Korea is one of the leading countries in the world for technology innovation, and it’s among the top producers of new data. Technology is so ingrained in the national identity that it launched a “Digital New Deal” to lay the foundation for a digital economy that will facilitate growth and innovation, according to PR Newswire.

How to use a cloud data warehouse to achieve HIPPA compliance, reduce risk and offload some of the operational burden. How do you balance an accessible data warehouse with data protection and HIPAA Compliance? To get the most value from your data, it should be available to everyone in your organization who can benefit from the data analysis, insights and value it holds.

Enabling customers and users to quickly find the value within a product is critical for many organizations and at the heart of being a product manager. The approach to driving user growth involves a growth mindset, combining qualitative and quantitative research methods, and driving impactful solutions.

According to TechTarget , data governance is managing the integrity, security, availability, and usability of data in an organization's system. Effective and efficient data governance makes sure data is accurate and consistent. There are several predictions regarding data governance you need to know.