CBDA – Introduction

Studiate il Capitolo 1 del testo Guide to Business Data Analytics. Consultate la linea guida che trovate in questa lezione.

Dovete conoscere molto bene le definizioni, gli obiettivi e le competenze che sono necessarie per effettuare Business Data Analytics.

Dovete essere in grado di riconoscere le diverse definizioni di Business Data Analytics (Movement, capability, data-centric activity set, decision making paradigm, set of practices and technologies).

Dovete conoscere i 6 domini della Business Data Analytics. (Six Business Data Analytics Domains).

Dovete conoscere i 4 tipi di Metodi analitici (Four Analytics Methods: Descriptive, Diagnostic, Predictive, Prescriptive).

ATTENZIONE: Studiate bene questo capitolo, poichè sebbene non siano indicate percentuali nell’Exam Blueprint, all’esame incontrerete parecchie domande nelle quali dovrete riconoscere, nelle situazioni presentate, la definizione di Business Data Analytics (Movement, capabiliity, data-centric activity set, decision making paradigm, set of practices and technologies) e soprattutto il metoodo utilizzato (Descriptive, Diagnostic, Predictive, Prescriptive). Dovrete anche saper riconosce il dominio e le attività specifiche che il Business Analyst sta effettuando. Per queste tipologie di domande vanno studiate molto bene le attività di ogni dominio (Business Data Analytics Domains and Task – Capitolo 2).

Qui di seguito trovate le Definizioni di Business Analysis e Data Analytics.

Business Analysis

• Practice of enabling change in an enterprise by defining needs and recommending solutions that deliver value to stakeholders in a context.
• Business analysis tools, techniques and competencies complement the analytics initiatives to be more effective by providing the business context for analytics effort.
• Defines the focus for the analytics problem and sets the scope before data is collected.
• Aids in the collection of data and the implementation of the data collection processes.
• Communicate the results and facilitate the implementation of informed business decisions made as a result of what is learned from analytics.

Analytics Discipline

• Focuses primarily on a systematic process to observe and predict trends and patterns.
• Used to sort, process, and analyze the data collected through the aid of business analysis.
• Once the analysis of the data is complete, business analysis activities are performed to interpret the results obtained from data analytics and trasform information into business decisions.
• Some consider data analytics as a specialty or subset of business analysis focused on data analysis. This viewpoint is taken considering skills and competencies needed for business analysis and data analytics work.
• IIBA consider the two discipline separately and elaborate on how business analysis is used to perform business data analytics effectively.

Business Data Analytics is a specialized area of study that contains aspects of business analysis and analytics disciplines and used for creating better business outcomes through evidence (data) – driven business decisions.

Business Data Analytics Objectives

The objective of business data analytics is to explore and investigate business problems or opportunities through a course of scientific inquiry. The specific outcomes of business data analytics are dependent on the type of analysis and inquiry that is being performed. There are four types of analytics methods: Descriptive; Diagnostic; Predictive; Prescriptive

The business analysis and analytics concepts are useful to both business analysis and analytics professionals to generate value for the enterprise through analytics initiatives.

Studiate questo schema che sintetizza il focus di entrambe le discipline.

Linea Guida

Qui trovate la Linea Guida del Capitolo 1 Introduction per lo studio.

Il Materiale è RISERVATO e NON DIVULGABILE.