Se ha denunciado esta presentación.
Se está descargando tu SlideShare. ×

Big data business analytics | Introduction to Business Analytics

Anuncio
Anuncio
Anuncio
Anuncio
Anuncio
Anuncio
Anuncio
Anuncio
Anuncio
Anuncio
Anuncio
Anuncio
Próximo SlideShare
Introduction to Data Science
Introduction to Data Science
Cargando en…3
×

Eche un vistazo a continuación

1 de 7 Anuncio

Big data business analytics | Introduction to Business Analytics

Business analytics is the iterative, methodical and exploration of an organisations data with an emphasis on statistical analysis. Successful business analytics depends on data quality, skilled analysts who understand the Technologies and the business and an organisational commitment to using data to gain insight that informed business decisions.

Business analytics is the iterative, methodical and exploration of an organisations data with an emphasis on statistical analysis. Successful business analytics depends on data quality, skilled analysts who understand the Technologies and the business and an organisational commitment to using data to gain insight that informed business decisions.

Anuncio
Anuncio

Más Contenido Relacionado

Presentaciones para usted (20)

Similares a Big data business analytics | Introduction to Business Analytics (20)

Anuncio

Más reciente (20)

Anuncio

Big data business analytics | Introduction to Business Analytics

  1. 1. INTRODUCTION TO BUSINESS ANALYTICS
  2. 2. TOPICS The Types The Tools The Roles The Lifecycle
  3. 3. TYPES OF BUSINESS ANALYTICS  DESCRIPTIVE ANALYTICS What happened ?  PREDICTIVE ANALYTICS What might happen ?  PRESCRIPTIVE ANALYTICS What should we do ?
  4. 4. BUSINESS ANALYTICS TOOLS  DATA VISUALIZATION TOOLS  BUSINESS INTELLIGENCE REPORTING SOFTWARE  SELF-SERVICE ANALYTICS PLATFORMS  STATISTICAL ANALYSIS TOOLS  BIG DATA PLATFORMS
  5. 5. KEY ROLES FOR SUCCESSFUL ANALYTIC PROJECT  BUSINESS USER  PROJECT SPONSER  PROJECT MANAGER  BUSINESS INTELLIGENCE ANALYST  DATABASE ADMINISTRATOR(DBA)  DATA ENGINEER  DATA SCIENTIST
  6. 6. MAIN PHASES OF LIFE CYCLE  BUSINESS PROBLEM DEFINITION  RESEARCH  HUMAN RESOURCE ASSESSMENT  DATA ACQUISITION  DATA MUNGING  DATA STORAGE  EXPLORATORY DATA ANALYSIS  DATA PREPARATION FOR MODELING AND ASSESSMENT  MODELLING  IMPLEMENTATION
  7. 7. DEVELOPING CORE DELIVERABLES FOR STAKEHOLDERS  PRESENTATION FOR ANALYSTS  CODE FOR TECHNICAL PEOPLE  TECHNICAL SPECIFICATIONS OF IMPLEMENTING THE CODE

×