209 Decision Making courses in Manchester delivered Live Online

Business Intelligence: Virtual 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

Duration 5 Days 30 CPD hours Overview Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. 1 - Identifying Basic Concepts of Data Schemas Identify Relational and Non-Relational Databases Understand the Way We Use Tables, Primary Keys, and Normalization 2 - Understanding Different Data Systems Describe Types of Data Processing and Storage Systems Explain How Data Changes 3 - Understanding Types and Characteristics of Data Understand Types of Data Break Down the Field Data Types 4 - Comparing and Contrasting Different Data Structures, Formats, and Markup Languages Differentiate between Structured Data and Unstructured Data Recognize Different File Formats Understand the Different Code Languages Used for Data 5 - Explaining Data Integration and Collection Methods Understand the Processes of Extracting, Transforming, and Loading Data Explain API/Web Scraping and Other Collection Methods Collect and Use Public and Publicly-Available Data Use and Collect Survey Data 6 - Identifying Common Reasons for Cleansing and Profiling Data Learn to Profile Data Address Redundant, Duplicated, and Unnecessary Data Work with Missing Value Address Invalid Data Convert Data to Meet Specifications 7 - Executing Different Data Manipulation Techniques Manipulate Field Data and Create Variables Transpose and Append Data Query Data 8 - Explaining Common Techniques for Data Manipulation and Optimization Use Functions to Manipulate Data Use Common Techniques for Query Optimization 9 - Applying Descriptive Statistical Methods Use Measures of Central Tendency Use Measures of Dispersion Use Frequency and Percentages 10 - Describing Key Analysis Techniques Get Started with Analysis Recognize Types of Analysis 11 - Understanding the Use of Different Statistical Methods Understand the Importance of Statistical Tests Break Down the Hypothesis Test Understand Tests and Methods to Determine Relationships Between Variables 12 - Using the Appropriate Type of Visualization Use Basic Visuals Build Advanced Visuals Build Maps with Geographical Data Use Visuals to Tell a Story 13 - Expressing Business Requirements in a Report Format Consider Audience Needs When Developing a Report Describe Data Source Considerations For Reporting Describe Considerations for Delivering Reports and Dashboards Develop Reports or Dashboards Understand Ways to Sort and Filter Data 14 - Designing Components for Reports and Dashboards Design Elements for Reports and Dashboards Utilize Standard Elements Creating a Narrative and Other Written Elements Understand Deployment Considerations 15 - Understand Deployment Considerations Understand How Updates and Timing Affect Reporting Differentiate Between Types of Reports 16 - Summarizing the Importance of Data Governance Define Data Governance Understand Access Requirements and Policies Understand Security Requirements Understand Entity Relationship Requirements 17 - Applying Quality Control to Data Describe Characteristics, Rules, and Metrics of Data Quality Identify Reasons to Quality Check Data and Methods of Data Validation 18 - Explaining Master Data Management Concepts Explain the Basics of Master Data Management Describe Master Data Management Processes Additional course details: Nexus Humans CompTIA Data Plus (DA0-001) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CompTIA Data Plus (DA0-001) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

A one-day training for counsellors, nurses, managers and healthcare practitioners who want to learn how to set up and facilitate Reflective Practice groups. Reflective Practice is the cornerstone of professionalism in healthcare. It develops clinical skills, improves decision-making, enhances work satisfaction, and reduces burnout.

Learning Agile or Scrum without the necessary work context is ineffective; more importantly, learning Agile or Scrum without a platform to practice and apply them on an ongoing basis is futile. IIL's Mastering Hybrid Approaches for Projects workshop provides both context and practice across all aspects of the value delivery system including waterfall, hybrid, and Agile approaches. This workshop provides options that span the value delivery spectrum for developing scope, estimating durations, managing schedules, and tracking progress. For example, participants will learn how to organize scope with a WBS and prioritize it with a backlog as well as lead the day-to-day work with a task board. The workshop also covers how to integrate iterations and releases into a high-level predictive schedule. The project team is the heart of the project. This workshop explains various team roles along with key leadership skills such as emotional intelligence and decision making. Key tenets of Agile practices, such as servant leadership and self-managing teams are explored along with the different types of meetings, such as daily stand-ups, iteration planning, and demonstrations. Those who attend will be better prepared to situationally apply agile and hybrid concepts. In addition, this course provides the structure for critical thinking to occur: to know and understand when to apply a predictive approach, when to apply an adaptive approach and when and how to combine them in a tailored and customized hybrid approach that meets the needs and demands of the project and the organization. The learning experience design is rooted in real world perspectives, leveraging team exercises based on a comprehensive case study.

Data Data Everywhere – For what purpose? Which data is crucial to driving your organisation? How do we Analyse data to drive improvements? Course Overview Organisations generally collect enormous amounts of data. However, what data or information is really needed? How do we present the data that we have collected so that it is openly available and can be understood and used to drive the business? Is the data collected driving change? Structure of the Course This one-day workshop will enable participants to gain the necessary skills to collect, analyse and present data in an understanding and meaningful way and assist the decision-making process. It looks at how to translate data into useful and meaningful information that can contribute towards real problem solving, effective performance indicators, leading to the development of effective KPI’s, among others. Alternatively, if an organisation is in the process of selecting data collection methods and appropriate analysis, then this workshop will also help. Data analysis skills are essential to providing honest and accurate analysis, determining statistical significance, reliability, and validity on which to base their decisions, whether it is to improve quality, profitability, efficiency, or competitiveness. Improper statistical analyses distort findings and can mislead or negatively influence decision-making and the perception of the data collected. The correct analysis of data is a process of systematically applying statistical and / or logical techniques to describe and illustrate, condense, and recap, and evaluate data so that it can be used effectively. This workshop provides essential learning for staff at all levels of the organisation. Course content: 1. Data Types Discrete data Continuous data 2. Data Collection Sheet design Testing, prior to full-scale data collection 3. Data Input into Spreadsheet 4. Determination of Basic Descriptive Statistics Mean Median Mode Minimum and maximum values Range Standard deviation 5. Graphical Analysis Bar charts Line graphs Pie charts Scatter diagrams 6. Determination of Relationships between Factors Relationship between discrete factors Relationship between continuous factors 7. Use of Data in Decision Making 8. Establishment of Key Performance Indicators 9. Determination of Data Reliability 10. Summary Who would benefit from this Approach? Anyone who collects, manages, analyses and uses data to drive business performance. Delivery The course is delivered through virtual, tutor-led classes as structured above. The platform used is Adobe Connect which utilizes e-work rooms, video and streamed trainers. Cost £200 + VAT If you are not yet a member but are already thinking about joining CforC, you can find more information on how to become a member and the benefits by clicking here.

Project Management Fundamentals: Virtual In-House Training Many projects are performed by highly competent and effective people who have little or no project management training. They perform projects like process improvement, marketing campaign development, new product development, event planning and production, and other 'tasks' which are projects. Project Management Fundamentals (PMF) is designed to support those people who need a solid foundation in project management, without being unnecessarily burdened to learn it while on the job. The course offers practical skills, concepts, and principles that can be taken back to the workplace, along with insights needed to adapt them to specific project environments. In today's environment, that means possibly adapting to Agile / Iterative methods. So, we have recently added key Agile concepts to provide a basic understanding of shifting towards agility. Since PMF's course goal is to achieve quality performance by learning effective planning and control, the focus is on a process orientation and an analytical, systems-oriented approach. Together, these frameworks promote project-related problem solving and decision-making skills necessary for real world projects. They honor project needs for collaboration, clear communications among people, and interpersonal and relationship skills. Recognition of these needs are woven throughout PMF, but are highlighted in two specific areas: Module 2 - People and Projects Module 8 - Executing, Communicating, and Developing the Team

This Level 3 Apprenticeship has been designed for individuals wishing to start or advance their skills in first-line management, and will equip them with the knowledge and understanding needed to effectively provide direction, instructions and guidance to ensure the achievement of set goals.

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.

Professional Management is crucial to your company's success. In fact, managers can have the single largest impact on your organisation's productivity and overall profitability, with more influence over employee morale and performance than anyone else.

About this Training Course This intensive 5 full-day has been designed as a separately bookable course comprising 3 days of Well Integrity (Basic) and 2 days of Advanced Well Integrity. The intensive 3 full-day course will equip the participants with a thorough knowledge of well integrity management and risk assessment in producing assets. Based on the regulatory requirements and using real examples and exercises from around the world, this represents best practice integrity management within the oil and gas industry. When to take action with a well is a critical decision, both from a safety and economic perspective. A consistent approach to decision-making provides certainty within the organisation, focusing effort, and spending wisely. The decision-making steps will be set out to ensure all critical aspects are captured consistently. Risk analysis approaches used by different organisations and examples of risk management and risk-ranking methods will be discussed. The 2 full-day course will deepen the participants' knowledge of well integrity management, and skills for designing, operating, and maintaining well equipment. The ultimate goal is to optimise productivity at the lowest Unit Operating Cost (UOC) and to maintain mechanical integrity throughout well life cycle. Well Integrity management is looked at in three distinct stages. The first stage is during the well design which includes material selection, engineering design, cement design, coating and inhibitors and cathodic protection. The second stage is monitoring the well during the life of the well, locating possible leaks and / or loss of metal. The last stage is to manage and control any well integrity issues using specialised products, services and techniques. Training Objectives 1. Well Integrity Training: Upon completion of this course, the participants will be able to: Define the building blocks of a successful well integrity management system Develop an approach to risk management, understand risk analysis and methods applied across the industry How do we 'Make Wells Safer', learn about emerging technologies for well integrity problem diagnosis and new techniques available to 'repair' the issues Execute the basic elements of well integrity management training for field operators Evaluate well design elements that enhance or hinder well integrity status definition during the operating phase of the well life-cycle Gain the demonstrable benefits of well integrity management from field experience Review cases studies and discuss them to enhance knowledge and take on board lessons learned 2. Advanced Well Integrity: Define well integrity well categorization based on compliance to the barrier policy outlined in the regulations and develop an approach to risk management Discuss well-completion design and construction to create a 'integer' well with the lowest life cycle maintenance cost from a WIM perspective Monitoring and surveillance of well integrity, focusing on barrier competence such as cementing and corrosion Investigate and manage well integrity issues, causes & potential solutions Understand repairs needed to address 'Loss of Well Operating Envelope' Gain an overview understanding of Well Suspension & Well Abandonment Discuss further case studies as well as conduct a post course test Target Audience Invaluable for production, operations, and integrity professionals involved in implementing & managing well integrity and seeking to improve performance. It is also essential for those who need to develop and implement such systems, or who have a general need to know and understand more about well integrity management. The course will also provide a fresh approach for senior professionals and managers. Designed for professionals in the oil and gas industry who are involved in the design, construction and operation of wells from the following disciplines: Production Maintenance Production Operations Drilling Engineering Safety engineering Well Intervention Well Integrity Engineering Asset Management Course Level Intermediate Advanced Trainer Gordon Duncan has over 40 years of experience in the Oil & Gas industry. During that time, he has worked exclusively in well intervention and completions. After a number of years working for intervention service companies (completions, slickline & workovers), he joined Shell as a well service supervisor. He was responsible for the day-to-day supervision of all well intervention work on Shell's Persian/Arabian Gulf platforms. This included completion running, coil tubing, e-line, slickline, hydraulic workovers, well testing and stimulation operations. An office-based role as a senior well engineer followed. He was responsible for planning, programming and organising of all the well engineering and intervention work on a number of fields in the Middle East. He had a brief spell as a Site Representative for Santos in Australia before joining Petro-Canada as Completions Superintendent in Syria, then moved to Australia as Completions Operations Superintendent for Santos, before returning to Shell as Field Supervisor Completions and Well Interventions in Iraq where he carried out the first ever formal abandonment of a well in the Majnoon Field. While working on rotation, he regularly taught Completion Practices, Well Intervention, Well Integrity and Reporting & Planning courses all over the world. In 2014, he started to focus 100% on training and became the Technical Director for PetroEDGE. Since commencing delivering training courses in 2008, he has taught over 300 courses in 31 cities in 16 countries to in excess of 3,500 participants. 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