Big Data Resources

As a collaborative learning organization, our mission is to transfer our IT automation knowledge to you by unlocking your true potential. Learn more about our products and solutions by browsing our data sheets, white papers, analyst reports, videos and more. Discover why Stonebranch has the knowledge and experience to power IT automation innovations.

Article Types

  • Data Sheet: Service Offering Portfolio (SOP)

    Our professional services deliver a comprehensive set of services in order to plan, build and run best in class Return on Automation results by exploiting Stonebranch Universal Automation Technology in the best possible way. As a collaborative learning organization our mission is to transfer our IT automation knowledge to you unlocking true potential.

  • Data Sheet: Universal Automation Center

    Imagine a modern, efficient automation solution to drive immediate business processing, manageable from any web-enabled device. Universal Automation Center will allow you to automate your 21st century business processing, securely manage file transfers or extend a legacy scheduling solution throughout the enterprise. With the use of this modern technology, it is now possible to achieve a more intelligent, yet simple, automation solution.

  • Case Study: Groupon eliminates workload automation downti

    Case Study Automation, File transfer, Big Data

    Groupon is a worldwide leader in local commerce and merchant solutions. It enables local businesses in more than 500 markets to offer specially targeted deals to consumers in various categories. The company has more than 10,000 employees in 48 countries serving more than 53 million active users and more than 260 million global subscribers. In Germany, Austria and Switzerland, Groupon is one of the most successful e-commerce businesses. To support German operations, Groupon runs at least 10,000 jobs a day on servers in multiple locations, with 2,000 defined tasks launched by 1,900 triggers.

  • Case Study: United Supermarkets Automates 92 Percent of P

    Case Study Automation, File transfer, Big Data, DevOps

    For more than nine decades, United Supermarkets LLC has served customers in west and north Texas with well-known stores such as Market Street, Amigos, United Express, and United Supermarkets. To continue this success in a highly competitive industry, the company needed more flexible and agile data processing that could enable self-service access by both technical and non-technical users.

  • Case Study: FirstOntario Credit Union Automates Disparate

    Case Study Automation, File transfer, Big Data

    FirstOntario Credit Union was utilizing disparate job scheduling tools for its IBM iSeries, Windows and Linux platforms. Using multiple job scheduling tools required the company to monitor each scheduler separately, decreasing visibility and the amount of time and resources allocated to each job scheduling solution.

  • Case Study: Coop Denmark achieves near-100% workload auto

    Case Study Automation, File transfer, Big Data

    Within three to four years, Coop Denmark expected the volume of tasks it had to process each day to increase from 20,000 to 100,000. BMC Control-M software would not support this growth because of difficulties with integration and a lack of transparency. The IT team sought a more universal tool that could seamlessly accommodate applications such as SAP, one of the company's 10 standard platforms.

  • Case Study: JN Data Streamlines and Standardizes its Job

    Case Study Automation, File transfer, Big Data

    JN Data was founded to support Jyske Bank's and Nykredit's combined data center. While both companies shared one data center, JN Data essentially serviced two "islands" within the company, making it difficult to support each group. Each company was using a different scheduling system and JN Data needed a way to streamline its processes. Additionally, the installation of the scheduling agents was time consuming and required too many resources.

  • Case Study: Computer Sciences Corporation Reduces Managem

    Case Study Automation, File transfer, Big Data

    CSC deployed a legacy job scheduling system that was too complicated. This led to problems on its mainframe due to errors and an increasing amount of time required to create the daily scheduling plan. Another issue was the amount of time necessary to manage scheduler agents and roll them out onto new servers. Over a two-year period, the legacy solution ran on only 25 servers, and a scheduling vendor could not solve CSC's problems without constant maintenance. Additionally, CSC was losing considerable amounts of money and faced potential penalties due to customer complaints and out-of-service issues.

  • Case Study: LVM Centralizes Java Batch Scheduling with St

    Case Study Automation, File transfer, Big Data

    LVM, a leading insurance company with more than 2,500 independent agencies throughout Germany, introduced a new insurance application which required it to schedule Java batch jobs running within the WebSphere XD environment on AIX. LVM was unable to find a solution on the market that would allow it to use its existing z/OS job-scheduling environment and was left with the option of using two job-scheduling systems. Managing WebSphere XD batch jobs separately would have increased cost and complexity and prevented end-to-end visibility of the enterprise-wide business process flow.

  • Case Study: GuideOne Insurance Automates Disparate Job Sc

    Case Study Automation, File transfer, Big Data

    GuideOne Insurance, the leading insurer of churches, churchgoers and other faith-based institutions, uses ESP scheduler on its mainframe. Additionally, a few ESP agents are being used to manage their distributed platforms to help tie their processes back to the mainframe. When their initial purchase of ESP agents had been deployed, the process began to acquire more agents from the original vendor. Unfortunately, these agents had become very expensive. In fact, so expensive, that GuideOne could not justify additional purchases. However, the goal was still to automate all production processes in a cost-effective way.