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Tag: Descriptive
Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics
Price:$76.99– $60.11
(as of Dec 27,2024 18:10:51 UTC – Details)
Publisher : De Gruyter; 1st edition (October 21, 2019)
Language : English
Perfect Paperback : 352 pages
ISBN-10 : 1547416742
ISBN-13 : 978-1547416745
Item Weight : 1.32 pounds
Dimensions : 6.69 x 0.8 x 9.45 inches
In today’s rapidly evolving business landscape, companies are increasingly turning to analytics to gain valuable insights and make data-driven decisions. One key aspect of this is simulating business processes to better understand, predict, and optimize performance.Descriptive analytics involves analyzing historical data to understand what has happened in the past. By simulating business processes, companies can gain a clearer picture of how different factors have influenced outcomes in the past, helping them to identify patterns and trends.
Predictive analytics takes this a step further, using statistical algorithms and machine learning techniques to forecast future outcomes. Simulating business processes allows companies to test different scenarios and predict how changes in variables will impact performance, enabling them to make more informed decisions and mitigate risks.
Prescriptive analytics goes beyond predicting outcomes to recommending actions to achieve desired outcomes. By simulating business processes, companies can test different strategies and optimize decision-making processes to achieve their goals more effectively.
Overall, simulating business processes for descriptive, predictive, and prescriptive analytics can provide companies with valuable insights and help them make more informed decisions to drive success in today’s competitive business environment.
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Intermediate Business Analytics: A Practical Approach to Descriptive, Prescriptive, and Predictive Analytics with R
Price: $29.00
(as of Dec 27,2024 06:43:09 UTC – Details)
ASIN : B0B4DR1J8G
Publisher : Independently published (June 23, 2022)
Language : English
Paperback : 351 pages
ISBN-13 : 979-8837870552
Item Weight : 1.69 pounds
Dimensions : 7 x 0.83 x 10 inches
Are you looking to take your business analytics skills to the next level? Look no further than our upcoming course, “Intermediate Business Analytics: A Practical Approach to Descriptive, Prescriptive, and Predictive Analytics with R.”In this course, you will learn how to use the powerful programming language R to analyze and visualize data, make informed business decisions, and predict future trends. We will cover a wide range of topics, including data cleaning and manipulation, exploratory data analysis, regression analysis, time series forecasting, and more.
Whether you are a business professional looking to enhance your analytical skills or a data scientist looking to expand your knowledge of R, this course is perfect for you. Join us and take your business analytics skills to the next level!
Stay tuned for more details on how to enroll in this exciting course. Don’t miss out on this opportunity to advance your career and become a more valuable asset to your organization.
#Intermediate #Business #Analytics #Practical #Approach #Descriptive #Prescriptive #Predictive #Analytics
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection (Wiley and SAS Business Series)
Price:$52.00– $30.49
(as of Dec 24,2024 02:36:42 UTC – Details)
Publisher : Wiley; 1st edition (August 7, 2015)
Language : English
Hardcover : 400 pages
ISBN-10 : 1119133122
ISBN-13 : 978-1119133124
Item Weight : 2.31 pounds
Dimensions : 6 x 1.09 x 9 inchesCustomers say
Customers find the book provides detailed applications of fraud analytics and real-world cases in investigating social network analysis. They appreciate the good information and key concepts that can be applied to military and law enforcement.
AI-generated from the text of customer reviews
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection (Wiley and SAS Business Series)In today’s digital age, fraudsters are constantly evolving and finding new ways to commit fraud. As a result, organizations need to be proactive in detecting and preventing fraudulent activities. This is where fraud analytics comes into play.
In this comprehensive guide, authors from Wiley and SAS Business Series provide a thorough overview of fraud analytics using descriptive, predictive, and social network techniques. The book covers the fundamentals of data science for fraud detection, including data preprocessing, feature engineering, model building, and evaluation.
Readers will learn how to leverage descriptive analytics to understand historical data patterns, predictive analytics to forecast future fraud events, and social network analysis to uncover hidden connections between fraudulent entities. The authors also discuss the importance of incorporating machine learning algorithms and artificial intelligence techniques to enhance fraud detection capabilities.
Whether you are a data scientist, fraud analyst, or business professional looking to improve your organization’s fraud detection capabilities, this book is a must-read. With real-world case studies and practical examples, Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques will help you stay one step ahead of fraudsters and protect your organization from financial losses.
#Fraud #Analytics #Descriptive #Predictive #Social #Network #Techniques #Guide #Data #Science #Fraud #Detection #Wiley #SAS #Business #Series
