Data Catalyst Data Catalyst is building the data layer for the innovation economy: We use data to measure and track startup activity and the innovation support ecosystem.We use data to accelerate innovation through smarter data access and use. Tracking the innovation economy By tracking Ontario companies, investors, talent and markets over time, sector and location, we help companies to scale and the ecosystem to grow. Learn more about our work in innovation. Accelerating innovation in energy jBPM jBPM is a flexible Business Process Management (BPM) Suite. It makes the bridge between business analysts and developers. Traditional BPM engines have a focus that is limited to non-technical people only. jBPM has a dual focus: it offers process management features in a way that both business users and developers like it. What does jBPM do? A business process allows you to model your business goals by describing the steps that need to be executed to achieve that goal and the order, using a flow chart. This greatly improves the visibility and agility of your business logic, results in higher-level and domain-specific representations that can be understood by business users and is easier to monitor.
Best Practices Reports TDWI Best Practices Report | Predictive Analytics for Business Advantage December 20, 2013 Predictive analytics is a technology whose time has finally come. Download this report to learn recommendations and best practices for successfully implementing predictive analytics to accelerate business advantage. Business Process Management (BPM) - Intalio The Private Cloud Co Best business practices mean best business Cleaner, more refined and natural integration of best business practices isn’t a pipedream -- it's achievable with Intalio|bpms. In highly competitive business markets, better business practices and processes can mean a big difference in everything from time-to-market to customer satisfaction to financial auditing. Integrating and managing those processes is no small job, but it doesn’t have to be a dreaded job either. Refine and integrate best practicesManage processes efficientlyEvolve processes as neededUtilize BPMS solutions from Intalio Embed best BPMS practices for higher compliance
Systems Inc. - CPAS v5 At CPAS we understand our clients objectives to implement a stable, state-of-the-industry fully integrated solution that is capable of supporting them well into the 21st century. CPAS v5 supports the complete administration and recordkeeping for Defined Benefit plans, Defined Contribution plans, and various hybrid plan types, as well as health and welfare group benefit plan premium administration. All of these functional components are supported by the underlying CPAS v5 platform, or application framework, and share the single integrated Oracle database.
Event-driven process chain Example of a more complex EPC diagram (in German). An Event-driven Process Chain (EPC) is a type of flowchart used for business process modelling. Event-driven Process Chains can be used for configuring an enterprise resource planning (ERP) implementation, and for business process improvement. The Event-driven Process Chain method was developed within the framework of Architecture of Integrated Information Systems (ARIS) by August-Wilhelm Scheer at the Institut für Wirtschaftsinformatik at the Universität des Saarlandes in the early 1990s. Overview
List of top open source BPM / workflow solution » Software for Enterprise Every organization has their very own distinct business processes which differentiates them from their competitors. Some companies have predefined processes while some have processes which are defined by the employees themselves. Imagine what would happen if each customer support representative have their own way of managing a customer. Without a proper process in place, calls from customers can go unanswered and can be transferred endlessly.
LIS Cross-National Data Center in Luxembourg As a courtesy, LIS makes available some datasets and databases that provide country-level indicators that might be useful to our microdata users and other comparative researchers. These have been compiled by various LIS staff and other scholars, including past LIS Visiting Scholars. Codebooks and other details about these compilations – including required citation guidelines – are included for each, and we urge you to review these if you make use of these resources. We also urge you to contact the producers of these data directly if you have questions. Note: If you have a dataset or database containing country-level variables that might be of use to LIS researchers, please contact us. We would be happy to lodge your data on our website!