Business Intelligence (BI) reporting and the extract, transform, and load (ETL) processes that support them are vital to equipping corporate decision makers with the information they need to maintain and improve business performance, successfully scale up as their business grows, and identify and implement new business initiatives and strategies.Calgary, AB -- (ReleaseWire) -- 10/13/2014 -- Key to getting current and accurate data in a timely manner is to ensure that the processes that move data from source to target systems run smoothly and quickly and that any errors are identified and resolved quickly, without having IT staff waste valuable time finding and fixing issues manually.The biggest problem with scheduling BI and ETL jobs is achieving error-free, end-to-end integration between the processes that are distributed throughout the enterprise that supply the necessary data. The introduction of a system that can run itself, manage its own dependencies, and that doesn't need to be monitored at every step would help reduce time constraints and error-prone manual intervention. The overall benefits of an automated system would be increased processing efficiencies and fewer mistakes.This paper examines five frequently encountered BI and ETL process management pain points, which can affect the accuracy and timeliness of vital enterprise data delivery. This includes dashboards, interactive analytics and standard reports, which are often used to make far-reaching business decisions. This paper also discusses how each of these pain points can be successfully managed using process automation technology.Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI technologies are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.[1]BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.BI can be used to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions include priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a more complete picture which, in effect, creates an "intelligence" that cannot be derived by any singular set of data.[2]About Code Experts CanadaCode Expert offers analytical tools that provide insight into the execution of your business process. We don't provide static models that are reflections of the steps in your process; our product provides real-time visualization of flows, visualization of repetitions of steps and loopbacks in a process that can cause inefficiencies and bottlenecks as you execute operational activities.For more details visit http://codeexpert.com/For more information on this press release visit: http://www.releasewire.com/press-releases/code-experts-calgary-which-is-focused-on-developing-a-process-mining-business-discusses-top-5-bi-process-management-challenges-552932.htmMedia Relations ContactDan CarterCEOCode Experts Canada Business Process MaagementTelephone: 403-214-7599Email: Click to Email Dan CarterWeb: http://codeexpert.com/
