NASHVILLE- TMW Systems today introduced a new “data mining” product for its RensultsNow system, as well as an “alert” function upgrade to its established fleet maintenance programs at its annual user convention here.
The new data platform, called Data Warehouse, is designed to make it easier for a range of users – trucking companies, logistics firms, etc. – to perform and improve data “mining” and statistical analysis.
Offered as part of TMW’s ResultsNow system, the Data Warehouse program separates data intended for business reporting from daily transactional feeds into “structures” designed specifically for fast and responsive query and analysis so fleets and other freight businesses can get a better feel for what’s happening in the market.
Also, the Data Warehouse system is built as a web-based, click-to-design reporting tool so no SQL query writing skills are required. “This will allow users to incorporate data from multiple sources, such as financial databases, fleet maintenance systems and even mobile communications apps, along with their operational data, into a single reporting system without negative impact to their software performance,” said David Mook, TMW’s COO.
The company is also rolling out its exception alerting system, called “The Dawg,” for the TL2000 enterprise transportation software and TMT Fleet Maintenance-IBM I solutions.
The Dawg, so named for its “watchdog-like” capabilities, was first released by TMW in 2004 as a business activity monitoring tool for its TMWSuite enterprise transportation software, with another version introduced in 2007 for TruckMate. It is designed to scan transportation operations and automatically flag exceptions, allowing logistics operators and carriers to take immediate corrective action.
The Dawg” now adds real-time exception monitoring to most business intelligence applications used for transportation, including TMW’s ResultsNow and CommandCenter programs. Users can set “alert thresholds” for key performance indicators or normal transaction types based on their acceptable ranges to continuously watch operational systems for any data points that fall outside the preset range and immediately send alerts to managers and staffers via e-mail to notify them of any issues.
