Table of Contents
What is the process of obtaining cleaning organizing relating and cataloging source data?
BI analysis is the process of obtaining, cleaning, organizing, relating, and cataloging source data. The three fundamental categories of BI analysis are reporting, data mining, and BigData.
Which of the following activities in the business intelligence process involves delivering business intelligence to the knowledge workers who need it quizlet?
Publish results is the process of delivering business intelligence to the knowledge workers who need it. Pull publishing delivers business intelligence to users without any request from the users.
Is a term used to refer to the level of detail represented by the data?
Granularity refers to the level of detail represented by the data.
Which of the following is an example of a supervised data mining technique or application?
7. Which of the following is an example of a supervised data mining technique? 8. A decision tree analysis is a supervised data mining technique.
Which is the process of obtaining cleaning Organising relating and cataloging source data?
BI analysis is the process of obtaining, cleaning, organizing, relating, and cataloging source data. The three fundamental categories of BI analysis are reporting, data mining, and BigData.
What is a term that refers to the level of detail represented by the data?
Granularity refers to the level of detail represented by the data.
Is the application of statistical techniques to find patterns and relationships among data and to classify and predict?
Data mining is the application of statistical techniques to find patterns and relationships among data for classification and prediction.
Are information systems that process operational and other data to analyze past performance and to make predictions?
Business intelligence (BI) systems are information systems that process operational, social, and other data to identify patterns, relationships, and trends for use by business professionals and other knowledge workers. These patterns, relationships, trends, and predictions are referred to as business intelligence.
What are the main activities in business intelligence systems?
BI is a broad term that encompasses data mining, process analysis, performance benchmarking, and descriptive analytics. BI parses all the data generated by a business and presents easy-to-digest reports, performance measures, and trends that inform management decisions.
What delivers business intelligence to users without any request from the users?
Push publishing delivers business intelligence to users without any request from the users; the BI results are delivered according to a schedule or as a result of an event or particular data condition.
What are the three primary activities in the business intelligence process?
The three primary activities in the BI process are: acquire data, perform analysis, and publish results. Data acquisition is the process of obtaining, cleaning, organizing, relating, and cataloging source data.
What is pull publishing?
Pull publishing. requires the user to request BI resultsreport servers. publishing media include print as well as online content delivered via Web servers. Process and Potential Problems at GearUp.
What refers to the level of detail represented by the values stored in a table’s row?
Granularity refers to the level of detail represented by the data.
Is used to explore large amounts of data for hidden patterns to predict future?
In dimensional modeling, granularity refers to the level of detail stored in a table.
What is the application of statistical techniques to find patterns and relationships among data?
Data mining is used to explore large amounts of data, looking for hidden patterns that can be used to predict future trends and behaviors.
Which of the following is an example of supervised data mining technique?
Which of the following is an example of a supervised data mining technique? A decision tree analysis is a supervised data mining technique.
What is supervised data mining techniques?
Supervised data mining techniques are appropriate when you have a specific target value you’d like to predict about your data. You then apply that model to data for which that target value is currently unknown. The algorithm identifies the new data points that match the model of each target value.
Which of the following data mining techniques use supervised learning?
Classification is a popular data mining technique that is referred to as a supervised learning technique because an example dataset is used to learn the structure of the groups. This technique learns the structure of a dataset of examples, already partitioned into groups, that are referred to as categories or classes.
Which techniques are used in data mining?
Below are 5 data mining techniques that can help you create optimal results.
- Classification analysis. This analysis is used to retrieve important and relevant information about data, and metadata.
- Association rule learning.
- Anomaly or outlier detection.
- Clustering analysis.
- Regression analysis.
Which of the following refers to data in the form of rows and columns?
In dimensional modeling, granularity refers to the level of detail stored in a table.
Is a concept that includes data warehousing and analytics among others to transform data into information and information into knowledge?
Structured data is data in the form of rows and columns.
What determines the size of words in a word cloud?
Business intelligence is a framework that allows a business to transform data into information, information into knowledge, and knowledge into wisdom.
Is the application of mathematical and statistical techniques to find patterns and relationships and to classify and predict?
Data Mining is an older (and now allied) subset of machine learning and artificial intelligence that deals with large data sets. It uses pattern recognition technologies with statistical and mathematical techniques to forecast business trends and find useful patterns.
Is a statistical technique that can identify groups of entities that have similar characteristics?
Online analytical processing. the uer can change the format of an OLAP report. Cluster analysis. unsupervised data where statistical techniques identify groups of entities that have similar characteristics.
What analysis is used to discover patterns and relationships?
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. Data mining techniques and tools enable enterprises to predict future trends and make more-informed business decisions.
