Concept explainers
Self-service analytics and its pros and cons.
Self-service analytics includes training, techniques, and processes that empower end users to work independently to access data from approved sources to perform their own analyses using an endorsed set of tools. In the past, such data analysis could only be performed by data scientists. Self- service analytics encourages nontechnical end users to make decisions based on facts and analyses rather than intuition.
Pros associated with self-service BI and analytics.
1. Gets valuable data into the hands of the people who need it the most—end users.
2. Encourages nontechnical end users to make decisions based on facts and analyses rather than intuition.
3. Accelerates and improves decision making.
Cons associated with self-service BI and analytics.
1. If not well managed, it can create the risk of erroneous analysis and reporting, leading to potentially damaging decisions within an organization.
2. Different analyses can yield inconsistent conclusions, resulting in wasted time trying to explain the differences. Self-service analytics can also result in proliferating “data islands,” with duplications of time and money spent on analyses.
3. Can lead to overspending on unapproved data sources and business analytics tools.
Want to see the full answer?
Check out a sample textbook solutionChapter 6 Solutions
Fundamentals of Information Systems
- What are the ethical considerations and potential biases associated with big data analytics, and how can they be mitigated?arrow_forwardConsider the following: Do you believe that Big Data and Predictive Analytics would have been effective in marketing 10-15 years ago? And how did this come to be the case?arrow_forwardIdentify six broad categories of implications of big data analytics and decision makingarrow_forward
- In the healthcare sector, how is Big Data analytics employed for predictive modeling and patient outcome analysis?arrow_forwardWhat are the challenges and solutions for handling unstructured data, like text or images, in Big Data analytics?arrow_forwardThe critical contrast between business intelligence and analytics is what distinguishes the two.arrow_forward
- Principles of Information Systems (MindTap Course...Computer ScienceISBN:9781305971776Author:Ralph Stair, George ReynoldsPublisher:Cengage LearningFundamentals of Information SystemsComputer ScienceISBN:9781337097536Author:Ralph Stair, George ReynoldsPublisher:Cengage LearningDatabase Systems: Design, Implementation, & Manag...Computer ScienceISBN:9781305627482Author:Carlos Coronel, Steven MorrisPublisher:Cengage Learning