Implementing Analytics

A Blueprint for Design, Development, and Adoption
Erscheinungsjahr 2013
ISBN: 978-0-12-401696-5
Verlag: William Andrew Publishing

Buch, Englisch, 234 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 490 g

Implementing Analytics demystifies the concept, technology and application of analytics and breaks its implementation down to repeatable and manageable steps, making it possible for widespread adoption across all functions of an organization. Implementing Analytics simplifies and helps democratize a very specialized discipline to foster business efficiency and innovation without investing in multi-million dollar technology and manpower. A technology agnostic methodology that breaks down complex tasks like model design and tuning and emphasizes business decisions rather than the technology behind analytics.

Zielgruppe

<p>data warehouse professionals, data architects, IT managers, business professionals in data-intensive jobs, business and financial analysts, project managers </p>

Autoren/Hrsg.

Sheikh, Nauman

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse

Inhaltsverzeichnis

1. Introduction

2. What is Analytics?

3. Analytics Project Lifecycle

4. Analytics Project Business Case

5. Analytics Project Architecture

6. Analytics Project Team

7. Analytics Project Development Methodology

8. Existing Technology

9. Specialized Databases

10. Statistical Tools

11. Scoring and Rating Engine

12. Strategy Design Tool

Über Autor(innen)

Sheikh, Nauman
Nauman Sheikh is a veteran of the data architecture profession who has built dozens of large scale operational and analytical systems over the last 18 years. He has worked in three continents solving business challenges in consumer credit, risk, fraud and direct marketing areas dealing with a variety of cultural, technological and legal challenges surrounding data and its use. He is a hands-on practitioner with skills ranging from analytical reporting to data mining models to analytics driven business decisions and their audit and control frameworks.