1452 Management courses in Aveley

Business Intelligence 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

NOCN NVQ Level 3 Diploma in Supervising Hire and Rental Operations

Overview Our teamwork training course is suitable for team members and managers looking to raise the performance of their team.

Enhance your drilling skills with our Directional, Horizontal, and Multilateral Drilling Simulator Assisted course. Join EnergyEdge for comprehensive training.

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

Agile project management, already widely used for software development, is increasingly recognised as having much more general application. Continuous improvement programmes, business change projects, new technology development, research and development and a variety of other scenarios characterised by rapid change and high uncertainty can all benefit from an Agile approach. This programme presents the concepts and methods of Agile project management, and shows how to apply them to a range of project and change management situations. Participants will learn: how Agile project management can help with project and change management the 4 values and 12 principles of the Agile 'manifesto' and the range of Agile methodologies how to apply Agile project management methods and techniques in a range of project scenarios alternative Agile project management methods and how they can be applied and adapted what makes Agile project teams succeed the key roles and responsibilities needed to enable Agile project teams to work effectively how to encourage an Agile mindset within their organisation and how to move toward an Agile approach to managing projects 1 Introduction to Agile project management Overview of 'classical' project management and methodologies The link between project success and management performance Limitations of classical approaches and the need for Agile methods The 4 values and 12 principles of the Agile manifesto explained Agile project management values:Individuals and interactions over processes and toolsWorking outputs over comprehensive documentationCustomer collaboration over contract negotiationResponding to change over following a plan The cultural challenges of using Agile project management Choosing when and how to adopt Agile project management 2 Initiating a project using Agile project management Some key Agile methodologies explained: SCRUM, XP, Crystal Identifying and engaging project stakeholders; defining roles and responsibilities Setting the project vision and goals; defining project scope The Agile approach to requirements capture and elicitation of needs Tools and techniques for capturing and characterising requirements The role of documentation, reporting and process management 3 The Agile approach to definition and planning Understanding Agile planning; the 'planning onion' concept Developing the culture needed for collaborative involvement and iterative planning Defining project deliverables; the 'product backlog' concept Tools and techniques for defining and prioritising requirements in Agile projects Understanding and applying Agile estimating techniques Dealing with uncertainty and managing risks 4 The Agile approach to execution and delivery The results orientated, fast adapting culture of Agile teams The monthly 'Sprint' process for project planning and review The disciplines needed for effective daily SCRUM meetings Reviewing progress, managing change and project reporting Testing, completing and handing over of work packages Managing the interface between the project team and the business 5 Leadership and teamwork in Agile project teams Why Agile teams are different: the importance of individuals and interactions The skills and attributes needed to lead an Agile project team The challenges faced and skills needed by Agile team members Recognising team development needs; adopting the right leadership style Making the transition from project manager to Agile coach Key coaching skills explored: mentoring, facilitating, managing conflict

During this 1 day Intermediate level InDesign course you will explore powerful layout and typographical controls, working with layers, creating multipage documents, using clipping paths and preparing for print. This course is ideal for anybody who already uses InDesign and wishes to progress to a professional level. Comprehensive colour management, typography and advanced graphics and effects are also covered.

InDesign is the professional choice for creating brochures, posters, magazines, e-books and apps. Through this introductory course, based at our London studios, you will receive expert InDesign training in how to create documents and prepare them for print or export as a PDF. Professional colour management, typography and advanced graphics and effects are all explored. This course covers all you need to know to get started with the application.

Explore the complexities of seismic interpretation in carbonates through our dynamic classroom training course. Energyedge delivers cutting-edge instruction and valuable insights.

About this training course Gas well performance is dictated by the combination of inflow and outflow performance. The outflow performance of any gas well is at risk as soon as the gas rate becomes insufficient to lift the associated liquid water and condensate to surface. This condition is referred to as liquid loading and invariably causes intermittent production and significant loss of well capacity and reserves. Liquid loading can be mitigated by different types of gas well deliquification such as compression, velocity string, plunger lift, foam-assisted lift, gas lift and downhole pump. This 5 full-day course will first show how to predict and recognize liquid loading. Next, it will describe how to select, design, install and operate the best sequence of deliquification measures. It will also consider deliquification in the presence of other production threats such as water production and halite blockage. These topics will be illustrated by an abundance of field examples and case studies. The participants will be completing a case study during the training. This case study is preferably based on their own relevant data set. If no such data is available, an external data set will be provided instead. Prerequisites skills: It is necessary for the participants to have a basic knowledge of petroleum engineering and gas well performance. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives On completion of this course, the participants will be able to: Develop skills and tools to understand and model gas well liquid loading and deliquification Understand the principles and practicalities of different deliquification methods Learn how to compare, select and apply deliquification measures by taking own field case as example Target Audience This course is intended for production engineer, surveillance engineer, completion engineer, production/process chemist, reservoir engineer, production programmer, production operator as well as professionals responsible for selecting, installing, operating, monitoring and optimizing deliquification. Course Level Basic or Foundation Training Methods This course utilizes Excel worksheets first introduced in the Optimising Gas Well Performance course. To derive maximum learning value, the participants are requested to bring their own relevant set of field data to complete their own case study during the training. The list of data required will be shared beforehand so data can be timely collected and cleared for external use. The participants should be prepared to complete any unfinished exercises and assignments before next day's session starts. The instructor will be available to discuss any remaining queries after the completion of the course. Trainer Your expert course leader brings with him 35 years of oil and gas field experience within Shell of which 25 years as gas well production engineer. He has covered the full spectrum of activities moving from R&D to green field development to brown field surveillance and optimisation, to become a leading gas well performance and deliquification specialist. He likes to capture the complex reality of gas well inflow, outflow and reservoir performance by means of practical data-driven rules and tools that cover a wide range of conditions i.e. shallow-to-deep, prolific-to-tight, dry-to-wet, green-to-brown, 1-1/2'-to-9-5/8' tubing, and depletion-to-aquifer drive. Before his retirement in end 2020, he worked for various Shell affiliated oil and gas companies including Shell Malaysia, Petroleum Development Oman, NAM Netherlands and Shell R&D in Netherlands and USA. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations