667 Business Analytics & Intelligence courses delivered Online

Data dashboards provide key information to stakeholders so that they can make informed decisions. While there are plenty of software solutions for building these essential data products, there is much less guidance on how to design dashboards to meet the diverse needs of users.  This course is for anyone who is building or implementing dashboards, and wants to know more about design principles and best practice. You could be using business intelligence software (such as Power BI or Tableau), or implementing bespoke solutions.  The course will give your team the ability to evaluate user needs and levels of understanding, make informed decisions about chart selections, and make effective use of interactivity dynamic data.  We’ll work with you before the course to ensure that we understand your organisation and what you’re hoping to achieve.  Sample learning content  Session 1: Data with a purpose Understanding the different types of dashboard. Information overload and other common dashboard pitfalls. Assessing user needs and levels of data fluency. Session 2: Planning a dashboard Assessing diverse user needs and levels of data fluency. Taking a User Experience (UX) approach to design and navigation. Applying an interative and collaborative approach to onboarding. Session 3: Graphs, charts and dials  Understanding how graphical perception informs chart choices. Making intelligent design choices to help users explore. Design principles for layout and navigation. Session 4: Using interactivity  Making effective use of filters to slice and dice data sets. Using layers of information to enable drilldown data exploration. Complenting dashboards with automated alerts and queries. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets. Testimonial “Alan was great to work with, he took us through the concepts behind data visualisation which means our team is now equipped for the future. He has a wide range of experience across the topic that is delivered in a clear, concise and friendly manner. We look forward to working with Alan again in the future.” John Masterson | Chief Product Officer | ImproveWell

Supercharge your skills and career and learn in-demand knowledge needed to build business intelligence dashboards. This beginner to intermediate level course will introduce you to all the Power BI technologies i.e. Power Query, DAX, Data Modelling (Power Pivot), M, types of visualizations, etc.

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

***Offer Ends Today*** Earn up to 40K as a 'DATA ANALYST' or Your 100% Money Back Do you know that entry-level data analysts earn an average of £40,000 annually, with the potential to quickly earn six figures with experience and expertise? Are you looking to join the high-demand field of data analytics and earn a handsome salary? Our Data Analyst Job Ready Program is here to guide you all the way until you get the job you want. Our Data Analyst Job Ready Program is your all-in-one solution to learn data analytics from scratch and also secure a job in this exciting industry. With our unique blend of comprehensive courses and career support, your dream job is within reach. We understand the challenges of transitioning into a new field, which is why our program is tailored to guide you every step of the way - from mastering core skills to landing your first job in data analytics. By choosing our Data Analyst Job Ready Program, you're not just gaining skills; you're gaining a lifelong career partner. Our mission is simple - to be your trusted partner every step of the way, from Training to Employment. Enrol Now and Kickstart Your Data Analytics Career. Don't miss this opportunity to transform your career with the Data Analyst Job Ready Program. With our comprehensive training, career support, and money-back guarantee, you're not just enrolling in a program; you're investing in a brighter future. Join us now and become a part of the next generation of data analysts! In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Analysts, so we can help you get the job you want. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Analyst Job Ready Program today and start your journey to becoming a successful Data Analyst! Why Choose Us? So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Analyst Job Ready Program: Personalised Guidance: Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some experience, we will guide you towards honing your skills and developing a strong foundation in Business Analysis. One-On-One Consultation Sessions with Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Analyst field. Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data analysts. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. 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Courses we will provide once you enrol in the program: Course 01: Introduction to Data Analysis Course 02: Business and Data Analytics for Beginners Course 03: Data Analytics with Tableau Course 04: Quick Data Science Approach from Scratch Course 05: Learn MySQL from Scratch for Data Science and Analytics Course 06: SQL for Data Science, Data Analytics and Data Visualization Course 07: Statistics & Probability for Data Science & Machine Learning Course 08: Basic Google Data Studio Course 09: R Programming for Data Science Course 10: Python Data Science with Numpy, Pandas and Matplotlib Course 11: Complete Python Machine Learning & Data Science Fundamentals Course 12: 2021 Data Science & Machine Learning with R from A-Z Course 13: Microsoft Excel Complete Course Course 14: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query Course 15: Data Center Training Essentials: General Introduction Course 16: Excel Data Analysis Course 17: Data Entry Administrator Training Course 18: SQL Masterclass: SQL For Data Analytics Course 19: Business Data Analysis Course 20: Master JavaScript with Data Visualization How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The Data Analyst Job Ready Program with Career Support & Money Back Guarantee is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data and Business Intelligence Analyst Job Ready Program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 6 premium courses related to Web Development. These courses will teach you the knowledge and skills required to become a successful Data and Business Intelligence Analyst. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3: Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. 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Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in web development, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful Data and Business Intelligence Analyst career begins with us. CPD 1000 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Analyst Job Ready Program is perfect for: Beginners eager to break into the field of data analytics and get a job. Professionals looking to move their career towards data science. Individuals seeking a comprehensive understanding of data analysis tools and techniques. Those aiming for a career upgrade with advanced analytics skills. Anyone interested in gaining practical, job-ready skills in data analytics and machine learning. Career path This Data Analyst Job Ready Program will help you get a job in different roles, such as: Entry-Level Data Analyst: £25,000 - £35,000 Mid-Level Data Analyst: £35,000 - £60,000 Senior Data Analyst: £50,000 - £80,000 Data Scientist: £40,000 - £100,000 Data Analytics Manager: £60,000 - £100,000 Business Intelligence Analyst: £30,000 - £75,000 Machine Learning Engineer: £45,000 - £80,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included

Our course is designed to provide you with a comprehensive understanding of the nature of business analysis and its critical role in driving business success. You will learn about the business analysis process and business analytics, as well as different business analysis techniques. From SWOT analysis to PEST analysis, you will gain practical experience in using different tools and techniques to assess business performance and identify opportunities for growth. Financial analysis is also a key aspect of business analysis. You will explore different useful financial ratios that can be applied to business analysis, such as profitability ratios and liquidity ratios. This knowledge will enable you to make informed decisions and recommendations that drive business success. After the successful completion of the course, you will be able to learn about the following, Understand the nature of business analysis and its role. Explain the business analysis process and business analytics. Describe different business analysis techniques. Explore different useful financial ratios applicable to business analysis. Understand different modern, useful tools of business analysis. Our course is designed to provide you with a comprehensive understanding of the nature of business analysis and its critical role in driving business success. You will learn about the business analysis process and business analytics, as well as different business analysis techniques. From SWOT analysis to PEST analysis, you will gain practical experience in using different tools and techniques to assess business performance and identify opportunities for growth. Financial analysis is also a key aspect of business analysis. You will explore different useful financial ratios that can be applied to business analysis, such as profitability ratios and liquidity ratios. This knowledge will enable you to make informed decisions and recommendations that drive business success. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Understanding Business Analysis Self-paced pre-recorded learning content on this topic. Understanding Business Analysis Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Business analysts Data analysts Management consultants Financial analysts Entrepreneurs and business owners MBA students and graduates Anyone interested in pursuing a career in business analysis. Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

You will learn about the business analysis process, from identifying business needs to assessing and prioritizing requirements. You will also gain insights into the world of business analytics, including predictive modeling and data visualization techniques that can help you turn raw data into actionable insights. Throughout the course, you will be introduced to a variety of business analysis techniques, including SWOT analysis, PEST analysis, and Porter's Five Forces framework. You will also explore different useful financial ratios that can be applied to business analysis, such as profitability ratios and liquidity ratios. This knowledge will enable you to make informed decisions and recommendations that drive business success. Finally, you will gain insights into different modern, useful tools of business analysis. From data visualization software to predictive analytics tools, you will learn how to leverage technology to enhance your business analysis capabilities and deliver value to your organization. After the successful completion of the course, you will be able to learn about the following, Understand the nature of business analysis and its role. Explain the business analysis process and business analytics. Describe different business analysis techniques. Explore different useful financial ratios applicable to business analysis. Understand different modern, useful tools of business analysis. You will learn about the business analysis process, from identifying business needs to assessing and prioritizing requirements. You will also gain insights into the world of business analytics, including predictive modeling and data visualization techniques that can help you turn raw data into actionable insights. Throughout the course, you will be introduced to a variety of business analysis techniques, including SWOT analysis, PEST analysis, and Porter's Five Forces framework. You will also explore different useful financial ratios that can be applied to business analysis, such as profitability ratios and liquidity ratios. This knowledge will enable you to make informed decisions and recommendations that drive business success. Finally, you will gain insights into different modern, useful tools of business analysis. From data visualization software to predictive analytics tools, you will learn how to leverage technology to enhance your business analysis capabilities and deliver value to your organization. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Business Analysis Case Studies Self-paced pre-recorded learning content on this topic. Business Analysis Case Studies Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Business analysts Data analysts Consultants, managers. Entrepreneurs Anyone looking to gain a deeper understanding of the role of business analysis in driving business success. Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Use Cases for Business Analysis: In-House Training The use case is a method for documenting the interactions between the user of a system and the system itself. Use cases have been in the software development lexicon for over twenty years, ever since it was introduced by Ivar Jacobson in the late 1980s. They were originally intended as aids to software design in object-oriented approaches. However, the method is now used throughout the Solution Development Life Cycle from elicitation through to specifying test cases, and is even applied to software development that is not object oriented. This course identifies how business analysts can apply use cases to the processes of defining the problem domain through elicitation, analyzing the problem, defining the solution, and confirming the validity and usability of the solution. What you will Learn You'll learn how to: Apply the use case method to define the problem domain and discover the conditions that need improvement in a business process Employ use cases in the analysis of requirements and information to create a solution to the business problem Translate use cases into requirements Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Overview of use case modeling What is a use case model? The 'how and why' of use cases When to perform use case modeling Where use cases fit into the solution life cycle Use cases in the problem domain Use cases in the solution domain Use case strengths and weaknesses Use case variations Use case driven development Use case lexicon Use cases Actors and roles Associations Goals Boundaries Use cases though the life cycle Use cases in the life cycle Managing requirements with use cases The life cycle is use case driven Elicitation with Use Cases Overview of the basic mechanics and vocabulary of use cases Apply methods of use case elicitation to define the problem domain, or 'as is' process Use case diagrams Why diagram? Partitioning the domain Use case diagramming guidelines How to employ use case diagrams in elicitation Guidelines for use case elicitation sessions Eliciting the problem domain Use case descriptions Use case generic description template Alternative templates Elements Pre and post conditions Main Success Scenario The conversation Alternate paths Exception paths Writing good use case descriptions Eliciting the detailed workflow with use case descriptions Additional information about use cases Analyzing Requirements with Use Cases Use case analysis on existing requirements Confirming and validating requirements with use cases Confirming and validating information with use cases Defining the actors and use cases in a set of requirements Creating the scenarios Essential (requirements) use case Use case level of detail Use Case Analysis Techniques Generalization and Specialization When to use generalization or specialization Generalization and specialization of actors Generalization and specialization of use cases Examples Associating generalizations Subtleties and guidelines Use Case Extensions The <> association The <> association Applying the extensions Incorporating extension points into use case descriptions Why use these extensions? Extensions or separate use cases Guidelines for extensions Applying use case extensions Patterns and anomalies o Redundant actors Linking hierarchies Granularity issues Non-user interface use cases Quality considerations Use case modeling errors to avoid Evaluating use case descriptions Use case quality checklist Relationship between Use Cases and Business Requirements Creating a Requirements Specification from Use Cases Flowing the conversation into requirements Mapping to functional specifications Adding non-functional requirements Relating use cases to other artifacts Wire diagrams and user interface specifications Tying use cases to test cases and scenarios Project plans and project schedules Relationship between Use Cases and Functional Specifications System use cases Reviewing business use cases Balancing use cases Use case realizations Expanding and explaining complexity Activity diagrams State Machine diagrams Sequence diagrams Activity Diagrams Applying what we know Extension points Use case chaining Identifying decision points Use Case Good Practices The documentation trail for use cases Use case re-use Use case checklist Summary What did we learn, and how can we implement this in our work environment?

Duration 2 Days 12 CPD hours Overview Identify and configure basic functions of Tableau. Connect to data sources, import data into Tableau, and save Tableau files Create views and customize data in visualizations. Manage, sort, and group data. Save and share data sources and workbooks. Filter data in views. Customize visualizations with annotations, highlights, and advanced features. Create and enhance dashboards in Tableau. Create and enhance stories in Tableau As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage. The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets?. Lesson 1: Tableau Fundamentals Topic A: Overview of Tableau Topic B: Navigate and Configure Tableau Lesson 2: Connecting to and Preparing Data Topic A: Connect to Data Topic B: Build a Data Model Topic C: Save Workbook Files Topic D: Prepare Data for Analysis Lesson 3: Exploring Data Topic A: Create Views Topic B: Customize Data in Visualizations Lesson 4: Managing, Sorting, and Grouping Data Topic A: Adjust Fields Topic B: Sort Data Topic C: Group Data Lesson 5: Saving, Publishing, and Sharing Data Topic A: Save Data Sources Topic B: Publish Data Sources and Visualizations Topic C: Share Workbooks for Collaboration Lesson 6: Filtering Data Topic A: Configure Worksheet Filters Topic B: Apply Advanced Filter Options Topic C: Create Interactive Filters Lesson 7: Customizing Visualizations Topic A: Format and Annotate Views Topic B: Emphasize Data in Visualizations Topic C: Create Animated Workbooks Topic D: Best Practices for Visual Design Lesson 8: Creating Dashboards in Tableau Topic A: Create Dashboards Topic B: Enhance Dashboards with Actions Topic C: Create Mobile Dashboards Lesson 9: Creating Stories in Tableau Topic A: Create Stories Topic B: Enhance Stories with Tooltips

Effecting Business Process Improvement - The Proactive Business Analyst: On-Demand Business analysts facilitate the solution of business problems. The solutions are put into practice as changes to the way people perform in their organizations and the tools they use. The business analyst is a change agent who must understand the basic principles of quality management. This course covers the key role that business analysts play in organizational change management. What You Will Learn You will learn how to: Define and document a business process Work with various business modeling techniques Perform an enterprise analysis in preparation for determining requirements Analyze business processes to discern problems Foundation Concepts Overview of business analysis and process improvement Defining the business process Introducing the proactive business analyst Focusing on business process improvement for business analysts Launching a Successful Business Process Improvement Project Overview of the launch phase Understanding and creating organizational strategy Selecting the target process Aligning the business process improvement project's goals and objectives with organizational strategy Defining the Current Process Overview of current process phase Documenting the business process Business modeling options: work-flow models Business modeling options: Unified Modeling Language (UML) model adaptations for business processes Analyzing the Current Process Process analysis overview Evaluation: establishing the control group Opportunity techniques: multi-discipline problem-solving Opportunity techniques: matrices Building and Sustaining a Recommended Process Overview of the recommended process and beyond Impact analysis Recommended process Transition to the business case Return to proactive state

Business Analysis Fundamentals - Solving the Business Problem: On-Demand This course teaches participants the overall process of business analysis and where it fits in the bigger picture of the project life cycle and the business context. The course is interactive and combines discussion, active workshops, and demonstrations of techniques. The goal is bottom-line results that cut through the real-world problems facing people seeking to improve the way they operate to develop new and improved systems and products or otherwise deliver results through project performance. What You Will Learn Upon completion, participants will be able to: Define the solution scope Work with the development team in the systems testing stage Ensure the solution is usable in the business environment Foundation Concepts Defining the Business Analyst Function Role of the Business Analyst as Change Agent An Introduction to the BABOK® Guide Business Analyst Roles and Relationships through the Project Life Cycle Business Analysis Planning and Monitoring - Defining the Process Overview of Business Analysis Planning & Monitoring (BAP&M) BAP&M - Process and Tools BAP&M - Roles and Responsibilities BAP&M - Governance, Information Management & Performance Improvement Elicitation and Collaboration - Gathering and Confirming Information Overview of Elicitation and Collaboration Elicitation and Collaboration Techniques Requirements Life Cycle Management - Maintaining Requirements and Design Information Overview of Requirements Life Cycle Management Requirements Life Cycle Management Tasks - Details Strategy Analysis - Providing Context to Requirements Analysis and Design Definition Overview of Strategy Analysis Analyze Current State Define Future State Assess Risks Define Change Strategy Requirements Analysis and Design Definition - Defining Solution Options Overview of Requirements Analysis and Design Definition (RA&DD) The Anatomy of Requirements RA&DD Task Descriptions RA&DD Techniques Solution Evaluation - Assessing Solution Performance Overview of Solution Evaluation Solution Evaluation Tasks Solution Evaluation in Development Stages Underlying Competencies Overview of Underlying Competencies (UCs) Underlying Competencies - Details