CASE STUDY: BRIGGS & STRATTON MOWS DOWN DATA WITH VISUALIZATION

By Catherine ohlson decades of data has been in front of us, Buligeshi Stratton employees, but at the same time, it did not seem close enough .

"This is a general consensus, there are more understanding than What can understand, rows and columns, and said:" The felsing, 100 of Decision Support Manager. The growing importance of business intelligence, He said, "I know what this [is] to change with the passage of time, it is the only way understand is, if you see it visually, rather than through numbers. " Buligeshi Stratton manufactures gasoline engines for lawn equipment, pressure washers and generators for OEM manufacturers, such as Campbell hausfeld, John Deere, craftsmen and the Second Team. The company has created the standard daily and monthly reports for users, established for the specific parameters and grazes through this information to create report. At this point, 100 of the more than 4,000 to create annual reports.

Buligeshi to build a data warehouse, and then left from the mainframe environment based on UNIX servers. A SAP R / 3 ERP system is also included infrastructure. R / 3 of the change in the environment, and to remove most of its heritage system, and fundamentally eliminate the 100 report as a whole infrastructure.

Legacy systems lived most of the sources, the advanced data storage and accumulation specific programming layer Buligeshi. In order to adapt to change, Buligeshi add SAS Institute software for the enterprise reporting capabilities, coupled with the scientific research / 3.

SAS Enterprise two-way servers, including information of the portal website report studios and studio map information to multiple sources of data, such as production and inventory control, and create about 1,000 customizable report. Data visualization software enables Buligeshi watch changes with the passage of time, monitor assets, inventory levels, regional sales and other important areas, felsing said. The company can solve the problem, and understand why certain characteristics there.

Business managers can view data by customer, product line or time period 100 of the countrys main product lines. Manufacturing supervisors use information to optimize production levels based on customer demand and inventory, and supply chain management compared to stocks and the level of sales and shipments see whether all areas at all levels are to snuff.

Buligeshi , and its staff have also developed a system for tracking historical information and monitoring trends in the quality of facilities operation and failure rate To engine. This quality improvement applications can automatically flag potential problems notify managers and executives by e-mail when there are problems. According to felsing, Buligeshi 4 million US dollars has been saved in the payout through warranty asset analysis and data visualization software.

Claims to the engine and other parts, "we may not know over the past few months," he said. "We may in a few months and production which the problems that exist. We can take corrective action on 4-5 [sooner or later] "early warning alert managers to help solve potential problems before they can affect customers.

For example, the manufacturing team can identify and fix up to 1 million US dollars quality problems, a two-way enterprise servers. The problem is to determine In the early stage of production, conservation Buligeshi more than 100 million dollars. No two-way enterprise servers, managers would not identify problems at least four months.

"[Question] rankings, in time, in the 180, you can completely ignore it, but you may be aware that this point, from 140 to 110," felsing said. "
more than three months, from 180 to 110, you can see it vividly, its scream, â € Ten me You can pick a well-off This will significantly advance, or to continue to grow [and then you will have noticed this point, it # 160 break the wall. " Fewer complaints and warranty claims important results, and resolve these problems and lead to further the credibility of data visualization .

"Some things are set, so you can not be clear-minded," he said. "You can find it sooner or later, dramatic, weeks or months before so you have the opportunity to respond to the problem." Return to the profile: Phase data to the thrills