"We have deployed Datawatch Monarch for a wide variety of applications throughout the consortiums," said Melita Crowell, multimedia manager from The Technology JPA. "In each instance, we have streamlined business processes and eliminated error-prone manual efforts, increased responsiveness to business demands and improved reporting accuracy. For example, in just one specific deployment of Monarch, we reduced our quarterly validation of payroll data from three weeks to under an hour."Supporting new regulatory requirements Like most school systems, budgets are tight and resources are limited. And Crowell's department has to continuously support ad hoc requests for information as quickly as possible. A Chief Business Official may want to know how much a school is spending on maintenance. School boards negotiating with teacher unions may want to know the budget impact of increasing a health benefit. HR may need to know how many substitute teachers were employed and for how long in a given month to comply with the requirements of the Affordable Care Act. "The amount of time we save using Datawatch is huge," Crowell said. "In this one application alone, we save over four days per month - and when your resources are limited, as ours are, the reporting demands would have required us to hire additional help to remain in compliance with the various state and federal laws and regulations that apply to us." In another example, Monarch allows staff at each of the school districts to compile substitute teacher data to make sure those who've worked more than 30 days accrue sick time in compliance with the Healthy Workplace Healthy Family Act (AB 1522). The system also allows staff to review healthcare data coverage for employees to comply with the Affordable Care Act. In each case, the districts and county offices within the consortiums utilize Monarch's automated data preparation functions to quickly transform raw personnel, payroll and budget report information into reliable, consistent data sets ready for analysis. Because privacy is a key regulatory concern, the organization also plans to take advantage of Monarch's data masking capabilities to remove or obscure confidential data such as account numbers, medical records and employee IDs easily and reliably.
This feature allows them to not only comply with the Public Records Act and Freedom of Information requests to safely distribute reports to external parties, such as government employees or journalists, it has also reduced their internal investment in responding to these requests up to 75%."Compliance with regulations is an enormous issue for organizations across the board," said Dan Potter chief marketing officer at Datawatch. "With the complexities surrounding compiling information from disparate systems and file formats, many organizations are still trying to figure out the most efficient way to extract the data they need without spending a fortune on new equipment or personnel. Datawatch is the perfect tool to help solve this problem." About Datawatch Corporation Datawatch Corporation (NASDAQ-CM: DWCH) provides the only Managed Analytics Platform that brings together self-service data preparation with visual data discovery. Its software bridges the gap between the ease that business user's demand and the automation and governance needed by IT. Users can quickly discover key factors that improve their business by transforming data from multi-structured sources, as well as real-time streaming data, into visually rich analytic applications. Organizations of every size, worldwide use Datawatch products, including 93 of the Fortune 100. Datawatch is headquartered in Chelmsford, Massachusetts with offices in New York, London, Frankfurt, Stockholm, Singapore, Melbourne and Manila, and with partners and customers in more than 100 countries worldwide. Learn more at www.datawatch.com. For investor relations information, visit investor.datawatch.com. Safe Harbor Statement under the Private Securities Litigation Reform Act of 1995 Any statements contained in this press release that do not describe historical facts may constitute forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995. Any such statements contained herein, including but not limited to those relating to product performance and viability, are based on current expectations, but are subject to a number of risks and uncertainties that may cause actual results to differ materially from expectations. The factors that could cause actual future results to differ materially from current expectations include the following: rapid technological change; Datawatch's dependence on the introduction of new products and product enhancements and possible delays in those introductions; acceptance of new products by the market, competition in the software industry generally, and in the markets for next generation analytics in particular; and Datawatch's dependence on its principal products, proprietary software technology and software licensed from third parties. Further information on factors that could cause actual results to differ from those anticipated is detailed in various publicly-available documents, which include, but are not limited to, filings made by Datawatch from time to time with the Securities and Exchange Commission, including but not limited to, those appearing in the Company's Annual Report on Form 10-K for the year ended September 30, 2015. Any forward-looking statements should be considered in light of those factors.
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Investor Contact: Datawatch Investor Relations email@example.comPhone: (978) 441-2200 ext. 8323Media Contact: Sarah BernardiDatawatch CorporationSarah_Bernardi@datawatch.comPhone: (978) 441-2200 ext. 8387Twitter: @datawatch