2 Educators providing Intelligence Analysis courses in Leyland

Organisational retreat, organisational seminar, executive development,

Our training programme will provide those involved at any stage of the process for procuring goods and/or services within their organisations with the knowledge and skillset to identify and mitigate the threat posed by the breadth and multi-layered complexity of procurement fraud, corruption and associated financial crime and money laundering.

Our training programme will provide those involved at any stage of the process for procuring goods and/or services within their organisations with the knowledge and skillset to identify and mitigate the threat posed by the breadth and multi-layered complexity of procurement fraud and corruption.

ITIL® 4 Specialist: Create, Deliver and Support: In-House Training The ITIL® 4 Specialist: Create, Deliver, and Support module is part of the Managing Professional stream for ITIL® 4. Candidates need to pass the related certification exam for working towards the Managing Professional (MP) designation. This course is based on the ITIL® 4 Specialist: Create, Deliver, and Support exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. What You Will Learn The learning objectives of the course are based on the following learning outcomes of the ITIL® 4 Specialist: Create, Deliver, and Support exam specification: Understand how to plan and build a service value stream to create, deliver, and support services Know how relevant ITIL® practices contribute to the creation, delivery, and support across the SVS and value streams Know how to create, deliver, and support services Organization and Culture Organizational Structures Team Culture Continuous Improvement Collaborative Culture Customer-Oriented Mindset Positive Communication Effective Teams Capabilities, Roles, and Competencies Workforce Planning Employee Satisfaction Management Results-Based Measuring and Reporting Information Technology to Create, Deliver, and Support Service Integration and Data Sharing Reporting and Advanced Analytics Collaboration and Workflow Robotic Process Automation Artificial Intelligence and Machine Learning CI / CD Information Model Value Stream Anatomy of a Value Stream Designing a Value Stream Value Stream Mapping Value Stream to Create, Deliver, and Support Services Value Stream for Creation of a New Service Value Stream for User Support Value Stream Model for Restoration of a Live Service Prioritize and Manage Work Managing Queues and Backlogs Shift-Left Approach Prioritizing Work Commercial and Sourcing Considerations Build or Buy Sourcing Models Service Integration and Management

About this Virtual Instructor Led Training (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: Why place more focus on data assets? Is data management just about serving geoscientists or engineers with fresh data? What is the value of data management in the E&P sector for decision making? How to convince the data consumers that the data we provide is reliable? Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: Understand why the data asset is now considered as a main asset by energy organizations Appreciate the importance of data governance and become an active stakeholder of it Understand the architecture and implementation of data structure in their professional environment Get familiarized with the more important data management activities such as data security and data quality Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives A detailed reference manual A lexicon of terms for data-management Limited class size to encourage the interactivity Target Audience This VILT course is intended for: Junior/new data managers Geoscientists Reservoir engineers Producers Maintenance specialists Construction specialists Human resources Legal Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm.       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 about post training coaching support and fees applicable for this. Accreditions And Affliations

Disciplined Agile Senior Scrum Master (DASSM): In-House Training Do you want to take Disciplined Agile® to a new level? Are you looking for tools to solve complex problems and enhance your organization's agility? Do you want to learn how to lead your team to excellence? Expand your knowledge and build practical skills around Disciplined Agile®, business agility, leadership, and team development. Disciplined Agile Senior Scrum Master is a nine-lesson, instructor-led course that shows you how to use the Disciplined Agile tool kit to solve a variety of advanced problems, work with allies within your organization, and optimize how teams work. You will gain knowledge in planning, reporting and metrics, and coordinating activities, as well as how to meet challenges in these areas. And you'll develop the skills you need to foster emotional intelligence, resolve conflicts, and lead high-performance teams at any stage of development. Filled with activities, supplemental reading, and more, this course will prepare you to take the Disciplined Agile Senior Scrum Master (DASSM) exam and, equally important, start using Disciplined Agile immediately within your leadership role. What You Will Learn After the completion of this course, you will be able to: Accelerate your ability to lead high-profile initiatives that are critical to enterprise success Take a deep dive into the Disciplined Agile® tool kit to develop a comprehensive understanding of the hundreds of practices and strategies it contains and the trade-offs of applying them Apply the Disciplined Agile tool kit in hands-on exercises to guide your team in choosing and evolving your best way of working (WoW) in real-life situations Use the tool kit to solve complex challenges commonly encountered in development and operational teams, the value stream, and at the enterprise level Learn how to design and implement metrics that measure your improvements in areas where your teams are struggling Understand how to nurture emotional intelligence Feel confident empowering others on your team(s) Learn how to lead your teams in any situation to improve value delivery for your customers Apply the Disciplined Agile tool kit to guide your team in choosing and evolving the best way of working (WoW) in the situation you face Be prepared to take the Disciplined Agile® Senior Scrum Master (DASSM) exam and earn a valuable, credible certification Roles and responsibilities of DASSM Tuckman Team Development Model Emotional intelligence and why it is essential to team performance Business agility Tactical scaling factors in more complex situations Disciplined DevOps layer 'Test-first' method as it relates to the quality of requirements Scope and purpose of the value stream layer Coordinate activities process goal and why it is important Value creation structure of teams DA™ tool kit to optimize the flow of work and solve challenges related to coordinating and collaborating across teams, or within a larger team of teams Thomas-Kilmann Conflict Resolution Planning Five levels of scope Metrics

Preparing for Digital Transformation Organizations today must keep pace with changing technology to stay abreast of the market demand. Keeping pace means a transformation of the entire organization into the digital age. This workshop presents the challenges, benefits, and pitfalls of digital transformation and how it will affect you, and how you can be better prepared and positioned for the upcoming digital transformation. The goal of this course is to enable you to become knowledgeable about the technologies behind a digital transformation in your organization and the driving forces compelling such a transformation. You will learn how to become engaged in the processes of transforming your organization digitally to meet with the growing demands of customers and clients What you will Learn Describe the impact that digital is making on the economy and on customer expectations Examine the nature and drivers of the digital transformation Evaluate new technologies such as Blockchain, Big Data, Artificial Intelligence, and other technologies and see how they work to bring about digital transformation Assess the impact of digital technologies on the current roles and positions in the organization Discuss both the demand that customers have for digital technologies and the impact the digital technologies have on the customer and its relationship with the organization Recognize the new technology trends in the digital transformation and what they mean to the future of the organization Identify how digital transformation will affect all roles and how to be prepared for the upcoming and continuing digital transformation Foundation Concepts Digital transformation versus automation Driving forces behind the digital transformation Learning from digital transformation successes Digital Transformation and Customer Orientation The Digital Customer Customer touch points and the customer journey Omnichannel concept Transform to the customer Digital Technologies and the Organization Relationship Management Big Data: The Basis for it All The Human Factor in Digital Transformations Risks of Digital Transformation Technology Trends Data and Business Analytics Other Major Trends Preview of Coming Attractions Pathway to Digital Transformation

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

Emotional Intelligence, EQ, EI, Moccasin Approach, Moccasin Manager,

Helping people become more efficient in how they manage and prioritise their working day, and for leaders and managers, how they can work efficiently by collaborating effectively with their people.