2 Educators providing Courses in Manchester

Overview This will include lectures, a detailed simulation exercise, and group discussions. Delegates will recognize the elements where their organizations may have the skills and resources to manage a crisis, but the course will help identify where specialist external support may also be required. The course is designed to provide a balanced view of how best to manage specific crisis issues while simultaneously minimizing any negative impact on ongoing business operations. Delegates will develop a list of subjects to address upon returning to their sponsoring organization

Did you know that 30.7 million working days were lost due to work-related illnesses and workplace injury in 2017/18?  It is an employer’s duty to protect the health, safety and welfare of their employees and other people who might be affected by their business. This includes providing sufficient information, instruction and training to employees to allow them to work in a way that does not put themselves or others at risk.  The QA Level 2 Award in Health and Safety in the Workplace (RQF) is ideal for all employees, as it helps candidates develop a greater understanding of health and safety issues and the role that everyone plays in maintaining a safe working environment. What’s more, with subjects covered in just 1 day, this regulated and nationally recognised qualification is the ideal way for organisations to improve health and safety awareness, whilst minimising disruption to everyday business operations!

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Overview This training course will give participants a developed knowledge of credit analysis. Through a mix of lectures and interactive case studies, participants will be able to perform detailed credit analysis, including analysing market and environment, computing key financial ratios, interpreting cash flows and analysing financing needs. Key Topics Financial needs and the business operating cycle Review of financial statements Financial ratio analysis Corporate cash flow analysis Cash flow projections for debt service Key lending policy guidelines