TechTarget

Data-driven organizations need employees of all technical skill levels to be able to access and use data. Embedded analytics software has six features that make data more usable.

Data mining and data profiling have different roles. Using one without the other is not an option for data management operations that want quality data and usable insights.

Traditional advanced analytics are not going to disappear with the rise of generative AI. Cultural and quality challenges hinder organizations as attention shifts to new trends.

Real-time analytics enables organizations with faster decision-making. However, bad data, or a culture that isn’t ready for real-time analytics, can undermine the benefits.

Data quality challenges pose a threat to organizations’ decision-making. Inaccurate, inconsistent, missing and duplicate data poses threats to cultivating trustworthy data sets.

Generate accurate data analysis and predictions by mastering the six dimensions of data quality — accuracy, consistency, validity, completeness, uniqueness and integrity.

Traditional BI vs. self-service BI isn’t a choice organizations need to make, but rather a partnership that requires elements from both to bring effective data use to users.

Data quality, building data trust and identifying bias are critical for organizations to confidently make decisions based on the data they collect.

While conventional data warehouses may struggle to keep up with growing volumes of data, these five elements best give the ability to tap into valuable BI.

The top business benefits of embedded analytics and BI include improving sales, gaining competitive advantages and getting maximum value from data to improve performance.

Across industries, companies are using predictive analytics to forecast future trends and actions. Learn about the most popular use cases for predictive analytics in 2022.

Data warehouses help companies gather analytics on individual systems and data for a holistic view of company performance, spot correlations and make informed decisions.

TECHTARGET–Learn how augmented analytics helps make companies more agile by expanding employee access to data and speeding the decision-making process — all while saving costs.

TECHTARGET–Augmented analytics have made data analysis more accessible and led to the rise of citizen data scientists. But using these tools still require extensive training.