Fundamentals of Analytics (ISBA 101)
| dc.contributor.author | Lilan, Rhoda M. | |
| dc.date.accessioned | 2026-08-13T01:23:26Z | |
| dc.date.available | 2026-08-13T01:23:26Z | |
| dc.date.issued | 2020 | |
| dc.description | Module 1 Introduction to Business Analytics -- Analytics as an Integral Part of the Decision-Making Ecosystem -- Business Users and Their Challenges -- The Foundation of Analytics Descriptive, Predictive, Prescriptive -- Trends in Business Analytics -- Module 2 Overview of Data Mining and Analytics -- Opportunities of Data Mining and Analytics -- The Scope of Data Mining and Data Analysis -- Big Data -- How Analytics Works -- Module 3 Implementing Analytics Solutions -- Analytics Solution Implementing Process Flow -- Opportunity Assessment and Feasibility Analysis -- Data Understanding and Data Preparation -- Design and Build Analytics/Data Mining Solution -- Module 4 Putting It Together–Integrated View of Customers -- Aspects of an Integrated Customer View -- Building a Customer Intelligence Solution -- Best Practices for an Integrated View of Customers -- Model Evaluation, Testing, and Assessment | |
| dc.format | 101 p.: col., ill. | |
| dc.identifier.citation | Lilan, R. M. (2020). Fundamentals of Analytics (ISBA 101). [Instructional Materials, Don Mariano Marcos Memorial State University - North La Union Campus, Sapilang, Bacnotan, La Union]. Lakasa ti Sirib, DMMMSU Institutional Repository. | |
| dc.identifier.uri | https://lakasa.dmmmsu.edu.ph/handle/123456789/2328 | |
| dc.language.iso | en_US | |
| dc.publisher | Don Mariano Marcos Memorial State University - North La Union Campus | |
| dc.sdg | SDG 4 | |
| dc.sdg | SDG 17 | |
| dc.subject | Business Analytics | |
| dc.subject | Data Analytics | |
| dc.subject | Information Systems and Business Analytics (ISBA) | |
| dc.subject | Data Management | |
| dc.subject | Data Visualization | |
| dc.subject | Descriptive Statistics | |
| dc.subject.ddc | Management of Information and Data | |
| dc.subject.ddc | Statistical Methods / Data Analysis | |
| dc.subject.ddc | Machine Learning / Data Science | |
| dc.subject.lcsh | Business analytics | |
| dc.subject.lcsh | Data mining | |
| dc.subject.lcsh | Information technology—Management | |
| dc.subject.lcsh | Management—Data processing | |
| dc.title | Fundamentals of Analytics (ISBA 101) | |
| dc.type | Instructional Material |