MarketAnalyzer: An Interactive Visual Analytics System for Analyzing Competitive Advantage Using Point of Sale Data

نویسندگان

  • Sungahn Ko
  • Ross Maciejewski
  • Yun Jang
  • David S. Ebert
چکیده

Competitive intelligence is a systematic approach for gathering, analyzing, and managing information to make informed business decisions. Many companies use competitive intelligence to identify risks and opportunities within markets. Point of sale data that retailers share with vendors is of critical importance in developing competitive intelligence. However, existing tools do not easily enable the analysis of such large and complex data. therefore, new approaches are needed in order to facilitate better analysis and decision making. In this paper, we present MarketAnalyzer, an interactive visual analytics system designed to allow vendors to increase their competitive intelligence. MarketAnalyzer utilizes pixel-based matrices to present sale data, trends, and market share growths of products of the entire market within a single display. These matrices are augmented by advanced underlying analytical methods to enable the quick evaluation of growth and risk within market sectors. Furthermore, our system enables the aggregation of point of sale data in geographical views that provide analysts with the ability to explore the impact of regional demographics and trends. Additionally, overview and detailed information is provided through a series of coordinated multiple views. In order to demonstrate the effectiveness of our system, we provide two use-case scenarios as well as feedback from market analysts.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Social media analytics for competitive advantage

Big Data Analytics is getting a great deal of attention in the business and government communities. If it lives up to its name, visual analytics will be a prime path by which visualization competes successfully in this arena. This paper discusses some fundamental work we have done in this area through integration of interactive visualization and automated analysis methods and the applications t...

متن کامل

Building a maintenance policy through a multi-criterion decision-making model

A major competitive advantage of production and service systems is establishing a proper maintenance policy. Therefore, maintenance managers should make maintenance decisions that best fit their systems. Multi-criterion decision-making methods can take into account a number of aspects associated with the competitiveness factors of a system. This paper presents a multi-criterio...

متن کامل

Space-Time Kernel Density Estimation for Real-Time Interactive Visual Analytics

We present a GPU-based implementation of the Space-Time Kernel Density Estimation (STKDE) that provides massive speed up in analyzing spatialtemporal data. In our work we are able to achieve subsecond performance for data sizes transferable over the Internet in realistic time. We have integrated this into web-based visual interactive analytics tools for analyzing spatial-temporal data. The resu...

متن کامل

Analysis of Student Retention and Drop-out using Visual Analytics

Student retention is an important measure for higher education institutions. Exploration and interactive visualization of multivariate data without significant reduction of dimensionality remains a challenge. Visual analytics tools like Motion Charts show changes over time by presenting animations within twodimensional space and by changing element appearances. In this paper, we present a new v...

متن کامل

A Data Mining-Based Framework to Identify Shopping Missions

The success of any business depends on the ability to understand its customers. As any other business so do retailers, understanding the reasons consumers enter their stores is playing a key role in achieving competitive advantage and retaining their market shares. Nowadays, the advent of Business Analytics has created new ways for retailers to metamorphose the vast amount of data they have int...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Comput. Graph. Forum

دوره 31  شماره 

صفحات  -

تاریخ انتشار 2012