Tableau > 实例探究 > AOL's Journey to Self-Service Business Intelligence with Tableau

AOL's Journey to Self-Service Business Intelligence with Tableau

公司规模

Large Corporate

地区

America

国家

United States

产品

Tableau

技术栈

Tableau Server

实施规模

Enterprise-wide Deployment

影响指标

Productivity Improvements
Digital Expertise

技术

分析与建模 - 实时分析

适用行业

电信

适用功能

商业运营

用例

实时定位系统 (RTLS)

服务

数据科学服务

关于客户

AOL is a leading-edge web services company that offers premium and niche content sites, along with world-class tools and platforms. The company deals with a massive amount of data, with tens of millions of searches daily, each generating between 20 and 40 rows of data. This results in 400 to 800 million records every single day. The company was operating on a push model where the Business Intelligence (BI) team would have to manually pull and send out reports to those who needed them. This process was time-consuming and inefficient.

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挑战

AOL, a leading-edge web services company, was facing challenges with its data not being integrated with the corporate data repository. The company was dealing with a massive amount of data, with tens of millions of searches daily, each generating between 20 and 40 rows of data. This resulted in 400 to 800 million records every single day. The company was operating on a push model where the Business Intelligence (BI) team would have to manually pull and send out reports to those who needed them. This process was time-consuming and inefficient.

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解决方案

AOL implemented Tableau to manage and analyze its massive data. The company integrated its data with the corporate data repository and stored all reports within the Tableau Server. This allowed everyone to access the reports, with access granted as needed. The implementation of Tableau changed AOL's workflow from a push model to a pull model, where people could pull the data they needed when they wanted. This enabled self-service Business Intelligence, where people were in charge of the data they needed. The data was readily available, eliminating the need for querying or pulling data every day. AOL also used Tableau to analyze real-time data, setting up a real-time tracker to track the performance of different products in search areas every 15 minutes.

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运营影响

AOL was able to transition from a push model to a pull model, enabling self-service Business Intelligence.
The company was able to analyze real-time data, tracking the performance of different products in search areas every 15 minutes.
The implementation of Tableau allowed AOL to spend more time on solving problems or fixing issues, rather than creating reports.
The company was able to monitor changes in real time, determining whether changes were working or not working.

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数量效益

Tableau saved 64 hours of work for one report, which is almost like eight business days.
Reports that would take two weeks to put together from concept to production could be done in minutes or hours with Tableau.
More complex reports that would take weeks or months to do could be done in a day or two with Tableau.

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