Common functions of business intelligence technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and pre… The BFSI sector is expected to deploy business intelligence and analytics … The future of BI in the banking sector is bright enough to provide sustainable growth and a competitive edge to the business. $( "#qubole-cta-request" ).click(function() { $( "#qubole-request-form" ).css("display", "block"); Business Intelligence is now the number 1 information technology investment in large businesses, and is rapidly becoming the number 1 investment in Medium size firms as well. In addition, the customer base can be analyzed to identify and develop new cross-sell and up-sell opportunities, and to carry out more targeted online marketing campaigns. The financial world is constantly changing and filled with uncertainty. As an example, perhaps it is learned that customers want a quicker, easier way to track and analyze their earning and spending patterns. BI tools can also be used to analyze credit portfolios, detect potential delinquency cases early, and take quick preventative action. Business Intelligence solutions also enable financial organizations to analyze vast amounts of customer data to gain insights about customer needs and sentiments regarding banking that can be used to improve products and services. For example, by analyzing the performance of customer-facing employees, such as sales personnel, tellers, and account managers, organizations can discover ways to improve and enhance the customer experience at the point-of-contact. Business Intelligence incorporates different tools and methodologies for use in the stages of data analysis in which the common types of tools include, data reporting, Real-Time analysis, Mapping Analysis, Online Analytical Processing, Dashboarding, etc., and Business Analytics incorporates different stages and phases of analyses such as SWOT analysis, use case modelling, predictive modelling, data modelling user stories, requirement analysis… This Oxford Business Intelligence and Analytics for Finance Professionals training seminar will highlight how, in a world where firms face intense competition for both customers and investors, the key challenge for today’s finance professional is to step-up and support the value creation process by moving from a narrow reporting role to embrace and exploit the full opportunities provided by today’s Business Intelligence (BI) and Business Analytics … Financial business intelligence is a term used to describe methods to collect, process, and analyze financial data from databases in real-time and make better business decisions with the help of professional financial business intelligence software. Developing New Investment Strategies: Asset managers are utilizing new data sets to develop new strategies for investing. Oxford Science Park, Oxford The ability to track the communications and behavior of internal employees in trading securities helps institutions comply with new regulation frameworks brought on by the 2008 financial crisis and recent insider trading cases. For the individual analyst Your data journey awaits. Is Data Lake and Data Warehouse Convergence a Reality? Unlocking data from siloed asset class systems could help global banks predict credit risk for counterparties across all asset classes. Data Lake Summit Preview: Take a deep-dive into the future of analytics. BOX: 71903, DubaiUnited Arab Emirates, www.oxford-management.cominfo@oxford-management.com, Tel: +971 4 589 6164WhatsApp: +971 55 951 0632. Self Service Financial Reporting and Analysis with Orbit’s GLSense . BI also plays an important role in improving customer retention and loyalty. Business Intelligence Tools. Try other courses in our List of Events, If you have any further questions, we are here to help you, Join our community and be the first to receive the latest news and updates, European Office:Oxford Management CentreJohn Eccles House All rights reserved. Training Course, Due Diligence in Petroleum Business Development, How Finance Professionals can fully exploit BI and BA tools, Using BI and BA to improve Business Processes and Performance, Principles and Practice in Statistical Analysis and Forecasting, Practical Skills for Data Visualisation and Infographics, Applying Agile Methods to BI and BA Systems Development, Frame Financial Insights in the Context of Business Process Improvement, Exploit the Tools of Business Intelligence and Analytics Systems, Develop Financial and Non-Financial Key Performance Measures, Apply the Tools and Techniques of Predictive Analytics, Design powerful Graphics for Data Visualisation and Infographics, Improved Awareness of Key Business Performance Measures, Greater Financial Insights from fully exploiting BI and BA Systems, Better Integration of Financial and Non-Financial Performance Measures, Upgraded Data Visualisation and Infographics, Raised awareness of Modern Agile Approach to Systems Development, Enhanced Results from Data Driven Decision Management, Ability to frame Financial Insights in the Context of Business Process and Performance, Up to date Knowledge of leading edge BI and BA Tools and Systems, Practical Skills in Statistical Analysis and Predictive Analytics, Greater Levels of Involvement in Management Decision-Making, Raised Awareness of Modern Agile and Scrum Approach to System Development, Effective Methods for Systems Implementation and Change Management, Finance Professionals across the Organisation, Creating Value for Key Organisational Stakeholders, Business Process Improvement and Re-engineering, Introduction to Business Intelligence and Business Analytics, Introduction to Data Driven Decision Management (DDDM), Key Financial Measures and Shareholder Value Drivers, Key Success Factors and Key Performance Measures, Implementing a Business Performance Management Framework, The Definition and Purpose of Business Intelligence (BI), Features Tools and Terminology of BI Systems, The Definition and Aims of Business Analytics (BA), Understanding Descriptive and Predictive Analytics, Defining Statistical, Descriptive and Predictive Analytics, Principles of Distribution and Probability Theory, Trend Analysis and Forecasting using Moving Averages, Trend Analysis and Forecasting using Linear Regression, Analysis and Forecasting with Monte Carlo Simulation in Excel, Comparing Data Visualisation and Infographics, Using Charts and Graphics for Data Visualisation, Designing Visuals and Infographics for Non-financial Users, Using Excel and Powerpoint for Data Visualisation, Designing and Using Scorecards and Dashboards, Practical Tips for Building Dashboards and Mashboards in Excel, Practical Steps in Agile BI / BA Systems Design and Implementation. 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business intelligence and analytics in finance

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