CBDA - Certification in Business Data Analytics (IIBA - CBDA)

Benchmarking is a method of comparing the performance of a business with others in the same industry or with industry standards12. It helps to identify areas of improvement and best practices for superior performance34. A research question that is framed using the results from benchmarking would focus on how the company compares to its competitors or to the industry average on a specific metric or process. For example, how efficient is the company compared to its competitors? This question would require the company to measure its efficiency using a relevant indicator, such as cost per unit, time per task, or output per employee, and compare it to the same indicator for its competitors. This would help the company to identify its strengths and weaknesses, and to find ways to improve its efficiency and gain a competitive advantage

A Data Flow Diagram (DFD) is a technique that shows the flow of data among processes, data stores, and external entities in a system. DFDs can be categorized as logical or physical, depending on the level of detail and abstraction. A logical DFD focuses on the business functions and data flows, without specifying the implementation details. A physical DFD shows the actual components and mechanisms that are involved in the data flow, such as hardware, software, files, and network connections. References:

•10.13 Data Flow Diagrams | IIBA® - International Institute of Business …, menu, 10.13 Data Flow Diagrams

•Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 2: Source Data

•Introduction to Business Data Analytics: Organizational View, page 16, Figure 6: Data Flow Diagram

Meta data management is the practice that, if implemented, would address the situation and mature the organization’s business analytics practice, because it is a technique that involves defining, documenting, and maintaining the information about the data elements, such as their names, definitions, formats, sources, and relationships. Meta data management can help the analyst resolve the inconsistencies and ambiguities in the data element names, and ensure that the data is standardized, consistent, and understandable across different business units. Meta data management can also help the analyst improve the data quality, accessibility, and usability for the analysis. References:

•Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 2: Source Data

•Guide to Business Data Analytics - Iiba - Google Books, page 14

•Business Data Analytics (IIBA®-CBDA Exam preparation) | Udemy, Section 2: Source Data, Lecture 8: Meta Data Management