Leveraging Business Analytics for Marketing Decisions in Retail Banking

Leveraging Big Data and Business Analytics

F ueled by the growing popularity of social media, e-commerce, and an increased interest in business collaboration, there’s been an explosion of data. However, enterprises don’t always know how to use this “big data” to make (or automate) complex decisions, resulting in a business advantage. Powerful analytics techniques can help enterprises deal with complex decisions by providing new insights...

How Analytics Can Transform the U.S. Retail Banking Sector

Executive Summary No matter how you slice it, banking is a dataheavy industry. But despite the proliferation of data, effective mining of insights has remained elusive. Given the tremendous advances in analytics software and the processing power generated by cloud-based utility computing architectures, the banking industry is ripe for change. As the industry works its way out of the financial c...

Business Analytics for Non-profit Marketing and Online Advertising

A Service Oriented Analytics Framework for Multi-Level Marketing Business

Today’s enterprises have accumulated vast amount of data and keep exploding by business activities. These datasets may contain potential undiscovered business strategies as a key basis of competition; underpin new waves of productivity growth, innovation, and consumer surplus. Data analysis is crucial in making managerial decisions. Although there are many Business Intelligence (BI) software of...

Monetizing Search Marketing: Online Retail Keyword Characteristics and Decisions

To make judicious resource allocation decisions in search marketing, it is essential to understand the motives behind online shoppers’ searching and purchasing behavior. Taking the approach of understanding consumers’ desires to reduce cognitive load in online shopping, we construct a goal-related keyword characterization framework. Most search keywords reflect a combination of the following ch...