MountainOne Bank


MountainOne Bank Eliminates the Common Barriers to Data Access with Datawatch Monarch Data Preparation Software
Community Institution Saves an Estimated 4,316 Man-hours on Data Reconciliation; Speeds Operational Reporting and Analysis
BEDFORD, Mass. – April 4, 2017 – Datawatch Corporation (NASDAQ-CM: DWCH) today announced that Massachusetts-based MountainOne Bank is utilizing the company’s Monarch self-service data preparation (prep) software to easily access and blend data from disparate systems and reports. The $850 million community bank joins the expanding roster of hundreds of financial institutions around the globe using Datawatch to radically simplify and expedite transactional and operational reporting and analysis. Banks and credit unions are increasingly tapping the power of Datawatch Monarch to access, manipulate and combine their data – and eradicate extremely time-intensive manual processes, such as rekeying data and performing line-by-line reconciliation. With no dependency on IT or complex scripting required, institutions’ business users are finally liberated to unlock and blend the data housed in general ledger and core processing systems with other various “siloed” systems and static reports to make timely, data- driven decisions. Executives and managers in the front- and back-office benefit from unprecedented visibility into and better management of everything from ATM settlements, accrued interest reports and loan offerings, to daily teller reports and customer/member card services. MountainOne, which recently went through a conversion to the D+H core processing platform, turned to Datawatch Monarch to speed the process of obtaining and reconciling text report data from its Oracle® General Ledger system. SVP of Operations Stacy Litke initially tried the traditional, manual route of dumping general ledger text reports into Excel and matching up rows of data with account numbers, but knew there had to be better way. “I spent a few full days on the mind-numbing work, only to find that I had completed 40,000 rows and had 750,000 more to go on the first account alone,” said Litke. “I calculated that it would take 12 weeks of eight hour days to complete the same process for each of the bank’s remaining nine accounts. By employing Datawatch Monarch, I was able to drastically reduce that data reconciliation process from the estimated 4,320 man-hours down to four hours.” MountainOne had only been utilizing the Monarch platform for about one month before quickly reaping the benefits of the tool for other operational use cases. Litke used Monarch to quickly create accurate, random samples of accounts across various databases for core conversion data validation as well as
extract data from multiple, disparate reports for loan insurance and cash transaction monitoring. “We are amazed at what we’ve been able to accomplish in a very short time using Datawatch Monarch – and know that we’ve only scratched the surface in terms of how we can leverage its capabilities throughout the bank. Not only is the data prep software incredibly intuitive and easy-to-use, the Datawatch team took the time before I purchased the software to truly understand what problems we were trying to solve. That commitment to our success really impressed me, and was a big factor in my
selection,” added Litke. PRESS RELEASE “Self-service data prep is most commonly thought of as a means to get data ready for analysis in an analytics platform or visualization tool, but as demonstrated by organizations like MountainOne, it also delivers tremendous operational business value,” said Ken Tacelli, chief operating officer, Datawatch. “Only Datawatch Monarch enables organizations to bridge the data divide, giving business users the ability to access and merge all of the trusted data they need from any report or other data source. As a result, banks and credit unions are solving pressing data problems across planning and budgeting, reconciliation, audit, compliance, sales and much more – without the pain or cost of data warehousing initiatives.”