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OVERVIEW Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace. This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results. OBJECTIVES Introduction to statistical analysis  Describing individual variables  Testing hypotheses  Testing hypotheses on individual variables  Testing on the relationship between categorical variables  Testing on the difference between two group means  Testing on differences between more than two group means  Testing on the relationship between scale variables  Predicting a scale variable: Regression  Introduction to Bayesian statistics  Overview of multivariate procedures CONTENT Introduction to statistical analysis  • Identify the steps in the research process  • Identify measurement levels  Describing individual variables  • Chart individual variables  • Summarize individual variables  • Identify the normal distribution  • Identify standardized scores  Testing hypotheses  • Principles of statistical testing  • One-sided versus two-sided testing  • Type I, type II errors and power  Testing hypotheses on individual variables  • Identify population parameters and sample statistics  • Examine the distribution of the sample mean  • Test a hypothesis on the population mean  • Construct confidence intervals  • Tests on a single variable  Testing on the relationship between categorical variables  • Chart the relationship  • Describe the relationship  • Test the hypothesis of independence  • Assumptions  • Identify differences between the groups  • Measure the strength of the association  Testing on the difference between two group means  • Chart the relationship  • Describe the relationship  • Test the hypothesis of two equal group means  • Assumptions  Testing on differences between more than two group means  • Chart the relationship  • Describe the relationship  • Test the hypothesis of all group means being equal  • Assumptions  • Identify differences between the group means  Testing on the relationship between scale variables  • Chart the relationship  • Describe the relationship  • Test the hypothesis of independence  • Assumptions  • Treatment of missing values  Predicting a scale variable: Regression  • Explain linear regression  • Identify unstandardized and standardized coefficients  • Assess the fit  • Examine residuals  • Include 0-1 independent variables  • Include categorical independent variables  Introduction to Bayesian statistics  • Bayesian statistics and classical test theory  • The Bayesian approach  • Evaluate a null hypothesis  • Overview of Bayesian procedures in IBM SPSS Statistics  Overview of multivariate procedures  • Overview of supervised models  • Overview of models to create natural groupings

OVERVIEW Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace. This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables. OBJECTIVES Introduction to IBM SPSS Statistics  • Review basic concepts in IBM SPSS Statistics  • Identify the steps in the research process  • Review basic analyses  • Use Help  Reading data and defining metadata  • Overview of data sources  • Read from text files  • Read data from Microsoft Excel  • Read data from databases  • Define variable properties  Selecting cases for analyses  • Select cases for analyses  • Run analyses for groups  • Apply report authoring styles  Transforming variables  • Compute variables  • Recode values of categorical and scale variables  • Create a numeric variable from a string variable  Using functions to transform variables  • Use statistical functions  • Use logical functions  • Use missing value functions  • Use conversion functions  • Use system variables  • Use the Date and Time Wizard  Setting the unit of analysis  • Remove duplicate cases  • Create aggregate datasets  • Restructure datasets  Merging data files  • Add cases from one dataset to another  • Add variables from one dataset to another  • Enrich a dataset with aggregated information  Summarizing individual variables  • Define levels of measurement  • Summarizing categorical variables  • Summarizing scale variables  Describing the relationship between variables  • Choose the appropriate procedure  • Summarize the relationship between categorical variables  • Summarize the relationship between a scale and a categorical variable  Creating presentation-ready tables with Custom Tables  • Identify table layouts  • Create tables for variables with shared categories  • Create tables for multiple response questions  Customizing pivot tables  • Perform Automated Output Modification  • Customize pivot tables  • Use table templates  • Export pivot tables to other applications  Working with syntax  • Use syntax to automate analyses  • Create, edit, and run syntax  • Shortcuts in the Syntax Editor  Controlling the IBM SPSS Statistics environment  • Set options for output  • Set options for variables display  • Set options for default working folders  CONTENT

OVERVIEW This course will build a foundation for students interested in what master data is and how it is managed. The student will learn about master data management (MDM), MDM implementation styles, and a variety of MDM use cases. The student will then be introduced to multiple IBM MDM solutions and will gain an understanding of the capabilities of each solution. OBJECTIVES After this course participants should be able to: Describe MDM Understand real world use cases and examples MDM and service oriented architecture Describe MDM implementation styles Understand the Staffing of an MDM project Describe the MDM products CONTENT An introduction to MDM What is Master data? What is Master Data Management? Issues addressed by MDM and benefits of MDM Use cases Sampling of real world use cases and examples MDM and service oriented architecture What is a Service Oriented Architecture (SOA)? IBM’s SOA Reference Architecture How does MDM and SOA relate? MDM implementation styles Consolidation Style Collaborative Style Registry Style Co-existence Style Transactional Style Staffing an MDM project and understand the various components Infosphere MDM InfoSphere MDM Virtual Module InfoSphere MDM Physical Module InfoSphere MDM PME InfoSphere MDM Collaborative Edition InfoSphere MDM Reference Data Management MDM Express

OVERVIEW This course shows you how to configure and prepare to deploy Cisco® Identity-Based Networking Services (IBNS) solutions based on Cisco Identity Services Engine (ISE), Cisco Catalyst switches, and Cisco Wireless LAN Controllers. You will learn the fundamentals of the 802.1X protocol and configuration, Cisco IBNS, configuring access for non-supplicant devices, Cisco ISE deployment options, architectural components, considerations with 802.1X, and more. You will also gain hands-on experience configuring 802.1X–based network services using the Cisco Identity Services Engine and a Cisco Catalyst switch.   Duration: E-learning: Equivalent of 2 days of instruction with videos, practice, and challenges     OBJECTIVES After completing this course you should be able to: Describe Cisco Identity-Based Networking Services (IBNS) for providing access control to corporate networks Describe Extensible Authentication Protocol (EAP) authentication types and methods, and the role of Remote Authentication Dial-In User Service (RADIUS) in EAP communications Describe how to configure Cisco Catalyst switches, Cisco Wireless LAN Controllers (WLCs), and Cisco ISE for 802.1X operation Describe how to configure access for non-supplicant devices in an 802.1X deployment Describe how to plan and deploy Cisco IBNS Networks with Cisco ISE and 802.1X CONTENT Describing Cisco Identity-Based Networking Services Cisco IBNS Overview Authentication, Authorization, and Accounting (AAA) Role in Cisco IBNS Compare Cisco IBNS and Cisco ISE Solutions Explore Cisco IBNS Architecture Components Explore Cisco TrustSec Describing 802.1X EAP Authentication Explore the IEEE 802.1X Standard Explore 802.1X and EAP Explain EAP Methods Describe the Role of RADIUS in EAP Communications Configuring Devices for 802.1X Operation Identify 802.1X Components and Topologies Configure Cisco Catalyst Switch for 802.1X Compare IBNS 1.0 and 2.0 on Cisco Catalyst Switch Configure Cisco WLC for 802.1X Configure Cisco ISE for 802.1X Configure Supplicants for 802.1X Operation Configuring Access for Non-Supplicant Devices Configure Cisco IBNS for Non-Supplicant Devices Explore IBNS 2.0 for Non-Supplicant Devices Configure Cisco Central Web Authentication for Guests Designing Cisco IBNS Networks with Cisco ISE and 802.1X Cisco ISE Architectural Components Introducing the Cisco ISE Bring Your Own Device (BYOD) Process Identify Cisco ISE Deployment Options Identify Component Compatibilities with 802.1X Review 802.1X Design Considerations Lab outline Configure and Test 802.1X Operations

OVERVIEW This course offers fundamental knowledge for the administration of SAP NetWeaver and SAP HANA on Microsoft Azure. You will learn in detail how to implement basic infrastructure components such as virtual networks, virtual machines, storage etc. for the installation and administration of SAP NetWeaver and SAP HANA systems in the Microsoft Azure Cloud. The SAP best practices will be used to set up individual training environments to demonstrate the possibilities and limitations of the SAP software on Microsoft Azure.   OBJECTIVES You will learn how to implement basic infrastructure components such as virtual networks, virtual machines, storage etc. for the installation and administration of SAP NetWeaver and SAP HANA systems in the Microsoft Azure Cloud.   AUDIENCE SAP architects and administrators who want to deploy and manage SAP applications for test and productive environments on Microsoft Azure CONTENT Introduction to Microsoft Azure Implementation and management of Microsoft Azure networking Overview Network security groups Implementation of Site-To-Site Network connections Overview ExpressRoute Implementation and management of virtual machines Planning Overview, implementation and configuration of Active Directory services Sizing of VMs Microsoft Azure Storage Certificated VMs for SAP NetWeaver and SAP HANA Management and monitoring of VMs Configuration of Microsoft Azure VMs Monitoring Microsoft Azure VMs Functional overview of the Microsoft Operations Management Suite Role-based administration in Microsoft Azure SAP Infrastructure and architecture in Microsoft Azure Overview SAP NetWeaver and SAP HANA architecture SAP NetWeaver Central System vs. Distributed System Layout Creation of Microsoft Azure VM Templates for SAP systems Windows Failover Cluster and Load Balancers in Microsoft Azure Scaling Microsoft Azure VMs Microsoft Azure Active Directory Integration and Single-Sign On Integration with SAP Cloud AAD Integration with SAP NetWeaver and SAP HANA VMs Implementing and management of SAP VMs in Microsoft Azure Requirements Implementation Microsoft Azure Storage options and Best Practices Managed Disks Basics for sizing SAP workloads in Microsoft Azure Migrating SAP VMs to Microsoft Azure Backup and Disaster Recovery from SAP VMs in Microsoft Azure Introduction to PowerBI Data Visualization for SAP in Microsoft Azure  

OVERVIEW The Cisco Aggregation Services Router 9000 Series Essentials course introduces you to the features and functions of the Cisco Aggregation Services Router (ASR) 9000 Series platforms. Through a combination of lecture and hands-on labs, you will gain an understanding of all major aspects of the platform, including hardware, Layer 2 and Layer 3 services, routing protocols including Segment Routing, Layer 2 and Layer 3 multicast, Quality of Service (QoS) features, and network virtualization. The course investigates Cisco Internetworking Operating System (IOS) XR 64-Bit Linux-based feature parity in the environment, as well as how to install Cisco IOS® XR 64-Bit software packages. Duration: Equivalent of 4 days of video instruction with hands-on lab practice This course is worth 32 Continuing Education (CE) Credits OBJECTIVES After you complete this course you will be able to: List and describe the major features and benefits of a Cisco ASR 9000 Series router List and describe the major features and benefits of the Cisco 64-Bit IOS XR operating system Understand data flow through the Cisco ASR 9000 Series router Configure Cisco ASR 9000, back out of configuration changes, and restore older versions of the configuration Install the Cisco IOS XR 64-Bit Software operating system, package information envelopes and software maintenance updates Enable multicast routing on a Cisco ASR 9900 Series router Configure Layer 3 VPN services Configure Ethernet link bundles Configure local Ethernet Line (E-Line) Layer 2 VPN (L2VPN) Configure Ethernet over Multiprotocol Label Switching (EoMPLS) E-Line L2VPN Configure EoMPLS with pseudowire backup Configure local Ethernet LAN(E-LAN) L2VPN Describe Virtual Private LAN Service (VPLS) L2VPN Describe VPLS with Border Gateway Protocol (BGP) autodiscovery Configure service-based Connectivity Fault Management (CFM) Configure Layer 2 multicast features Describe basic QoS implementation Describe how to configure and verify network Virtualization (nV) on the ASR 9000 series CONTENT Cisco ASR 9000 Series Hardware Examining the Cisco ASR 9000 Series Chassis Examining the Cisco ASR 9000 Series Architecture Examining the Route Switch Processor/ Route Processor (RSP/RP) Functions and Fabric Architecture Examining the Cisco ASR 9000 Series Line Card Examining the Cisco ASR 9000 Power Subsystems Cisco IOS XR 64-Bit Software Architecture and Linux Fundamentals Cisco IOS XR 64-Bit Software Fundamentals Cisco ASR 9000 IOS XR 64-Bit vs. 32-Bit Exploring Linux Fundamentals Cisco IOS XR 64-Bit Software Installation Examining Resource Allocations and Media Mappings Migrating to Cisco IOS XR 64-Bit Software Performing Disaster Recovery Installing Software Packages Cisco IOS XR 64-Bit Software Configuration Basics Configuring Cisco IOS XR 64-Bit Basic Operations Cisco IOS XR 64-Bit Initial Configuration Reviewing the Configuration Cisco IOS XR 64-Bit Software Routing Protocols Exploring Intermediate System to Intermediate System (IS-IS) Exploring OSPF Exploring BGP Exploring Routing Protocol for LLN Multicast Routing Exploring Multicast Routing Exploring Protocol Independent Multicast (PIM) Cisco Multiprotocol Label Switching Examining the MPLS Forwarding Infrastructure Implementing the MPLS Label Distribution Protocol (LDP) Cisco IOS XR 64-Bit Segment Routing Segment Routing Concepts Interior Gateway Protocol Segment Routing (IGP SR) Control Plane Overview Prefix and Adjacency Segment IDs (SIDs) SR IS-IS Multi-Level and OSPF Multi-Area IS-IS SR Configuration and Verification OSPF SR Configuration and Verification Layer 3 VPNs Examining L3VPNs Exploring L3VPN Control and Data Flow Configuring L3VPNs Verifying the L3VPN Operation Cisco ASR 9000 Layer 2 Architecture Examining Carrier Ethernet and Flexible Ethernet Edge Comparing Layer 2 and Layer 3 VPNs Examining the ASR 9000 Layer 2 Infrastructure and Ethernet Flow Points (EFPs) Layers 2 and 3 Coexistence and VLAN Tag Manipulation Exploring the Layer 2 Network Infrastructure Point-to-Point Layer 2 Services Point-to-Point Alternating Current-Alternating Current (AC-AC) and Attachment Circuit Redundancy Point-to-Point AC-Pseudowire (PW) Cross-Connect Examining Pseudowire Redundancy and Resiliency Layer 2 Multicast Examining the Cisco ASR 9000 Series Multicast Implementing Multicast Quality of Service QoS Basics and the Modular QoS CLI (MQC) Mode Layer 2 QoS Example Labs: Lab 1: ASR 9904 Hardware Discovery Lab Lab 2: Device Discovery and Initial Configuration Lab 3: Installing Cisco IOS XR 64-Bit Software Lab 4: Cisco IOS XR 64-Bit Software Operations Lab 5: Configuring IS-IS Routing Lab 6: Configuring OSPF Routing Lab 7: Configuring Internal BGP (iBGP) Routing Lab 8: IPv4 Multicast Configuration Lab 9: Configuring Multiprotocol Label Switching Lab 10: Configuring and Verifying IGP Segment Routing Lab 11: Configuring Layer 3 Virtual Private Network Lab 12: Local E-Line Service Lab 13: EoMPLS Service

OVERVIEW This Web-Based Training course teaches authors how to create dashboards in IBM Cognos Analytics so users can explore and interact with their data and gain insight into their business. You will learn how to add data sources, create and interact with dashboards, and customize content for presentation. You will also learn how to create effective narratives by using stories, and how to use explorations to perform a deeper analysis on your data. OBJECTIVES CONTENT Introduction to dashboarding in IBM Cognos Analytics Create basic dashboards Advanced dashboarding Create a story Create an exploration

OVERVIEW This training teaches data modelers how to model data using data modules in IBM Cognos Analytics. Users will learn how to create data modules from different sources, such as uploaded files. They will also identify how to customize their data modules by adding joins, calculations, and filters. In addition, they will examine how to group their data (for example, by using navigation paths), how to share their data modules with others, and how to make use of some advanced modeling techniques, such as relative date analysis. If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms OBJECTIVES Data modeling in IBM Cognos Analytics Create and use data modules Intent-driven modeling Use the web modeling user interface: overview Create a data module Sources for data modules Create a new data module in IBM Cognos Analytics: high level steps Add and relink sources Enable data caching Modify and refine a data module What happens when you create a data module? How can I modify and refine a data module? Modifying the graphic representation Create relationship joins What are relationships? Create a relationship: high-level steps Modify relationships Create new tables Customize data modules using filters and calculations Customizing a data module Creating filters Viewing, editing, and removing filters Creating calculations Cleaning data Using custom calculations Group data and create navigation paths Group data Group on a numeric column Group on a text column Create a navigation path Share a data module What happens when you share a data module? Advanced data modeling techniques Perform relative date analysis: overview Using the sample calendars to enable relative date analysis Create a data module for relative date analysis Customizing the reference date for relative date analysis Deal with multiple grains of data Set security in data modules Assessment CONTENT Please refer to course overview

OVERVIEW Deze 3-daagse BCS Certificate in Business Analysis Practice cursus behandelt het scala aan concepten, benaderingen en technieken die van toepassing zijn op het Practitioner Certificate in Business Analysis Practice en is relevant voor iedereen die een breed begrip van het onderwerp nodig heeft. De nadruk van het certificaat ligt op het gebruik van een holistische benadering voor het onderzoeken en verbeteren van bedrijfssituaties, met het oog op het ontwikkelen van effectieve, haalbare bedrijfsoplossingen. This 3-day BCS Certificate in Business Analysis Practice training covers the range of concepts, approaches and techniques that are applicable to the Practitioner Certificate in Business Analysis Practice and is relevant to anyone requiring a broad understanding of the subject. The certificate’s focus is on using a holistic approach to the investigation and improvement of business situations, with a view to developing effective, feasible business solutions. OBJECTIVES Candidates should be able to demonstrate knowledge, understanding and application of Business Analysis Practice principles and techniques in the following areas: The breadth of the role of a Business Analyst (BA), the value of the role to organisations and the skills required of a BA to support successful business change. The processes and techniques of strategy analysis. Investigation of an organisation’s business systems in order to uncover the problems and issues occurring within them. The importance of, and techniques used within, stakeholder management and the need for analysing perspectives. Conceptual modelling through the use of business activity models. Recommendations for business improvements and how they may be identified through gap analysis between desired and current business models. The role of a business case within the business change lifecycle, including the contents of a business case for the development and implementation of business changes. AUDIENCE For people who already have a business analysis role and want to gain a deeper understanding of business analysis strategy and application Suitable for business analysts, business managers and members of their team, business change managers and project managers CERTIFICATION Type Multiple choice Duration 60 minutes Supervised Yes Open Book No Pass Mark 26/4 Calculators Calculators cannot be used during this examination. Delivery Digital or Paper based, depending on the course format NEXT STEP   CONTENT Learning Objectives 1. Rationale for Business Analysis 5% Candidates will be able to: 1.1 Explain the role of the BA throughout the stages of the business change lifecycle. 1.2 Understand the scope of the BA role within the context of the range of analysis activities: strategic analysis and definition; business analysis; IT systems analysis. 1.3 Identify that there are three areas of competency for a BA: personal qualities, business knowledge and professional techniques. 2. Understanding the Strategic Context 15% Candidates will be able to: 2.1 Apply the MOST technique to analyse the internal environment of an organisation. 2.2 Apply the resource audit technique to analyse the internal environment of an organisation. 2.3 Apply the PESTLE technique to analyse the external environment of an organisation. 2.4 Apply Porter’s Five Forces technique to analyse the external environment of an organisation. 2.5 Explain the purpose of a SWOT analysis. 2.6 Identify strengths, weaknesses, opportunities and threats for a given scenario. 2.7 Define and explain the relationship between the following terms: 2.7.1 Critical Success Factor. 2.7.2 Key Performance Indicator. 2.7.3 Performance Target. 2.8 Define the elements of the balanced business scorecard and describe how it may be used to identify critical success factors and key performance indicators. 3. Understanding the Current Situation 15% Candidates will be able to: 3.1 Identify the generic stakeholder categories defined in the stakeholder wheel. 3.2 Identify relevant investigation techniques for a given scenario, including: 3.2.1 Interviews. 3.2.2 Workshops. 3.2.3 Observation. 3.2.4 Document analysis. 3.2.5 Scenario analysis. 3.2.6 Surveys or questionnaires. 3.3 Explain the rationale for taking a holistic view when investigating a business situation. 3.4 Interpret the business situation represented in: rich pictures; mind maps and fishbone diagrams. 4. Stakeholder Analysis and Management 20% Candidates will be able to: 4.1 In a given scenario, describe stakeholders in terms of their power/influence and level of interest. 4.2 Select an appropriate stakeholder management strategy based on the position on the Power/Interest Grid. 4.3 Apply the CATWOE technique to explore stakeholder business perspectives. 4.4 Explain different stakeholder business perspectives based on elements of CATWOE to identify similarities and differences in their worldviews. 5. Analysing and Modelling Business Activities 25% Candidates will be able to: 5.1 Explain the rationale for building conceptual models of a business situation. 5.2 Understand how to construct a conceptual business activity model, based on a given scenario. 5.3 Show understanding of how the five types of high level activity within a business activity model (and the dependencies between them) represent a stakeholder’s business perspective. 5.4 Explain the role of the planning activities in determining performance targets for a business system represented in the business activity model. 5.5 Explain the role of the enabling activities, in acquiring and replenishing resources for a business system represented in the business activity model. 5.6 Explain the role of the doing activities in conducting the work of the transformation, as defined in the stakeholder’s CATWOE. 5.7 Explain the role of monitoring and control activities, in regulating a business system represented in the business activity model. 5.8 Explain the three types of business events: 5.8.1 External. 5.8.2 Internal. 5.8.3 Time based. 5.9 In a given business activity model, identify the business events that will be handled by a particular business activity. 5.10 Explain the rationale for the consensus business activity model. 6. Identifying Potential Solutions 10% Candidates will be able to: 6.1 In a given business scenario, distinguish between the different categories of business rule: 6.1.1 External constraints. 6.1.2 Internal policies. 6.1.3 Internal procedures. 6.2 Describe the process for carrying out gap analysis, through comparison of the conceptual business activity model and existing business situation. 6.3 Define the components of a new business model: 6.3.1 Process. 6.3.2 Organisation. 6.3.3 People. 6.3.4 Information. 6.3.5 Technology. 7. Building the Business Case 10% Candidates will be able to: 7.1 Explain the rationale for the development of a business case. 7.2 Describe the contents of a business case, including: 7.2.1 Background description. 7.2.2 Options and their descriptions. 7.2.3 Costs, including: 7.2.3.1 Areas of cost. 7.2.3.2 Tangible and intangible costs. 7.2.3.3 Quantifying costs. 7.2.4 Benefits, including: 7.2.4.1 Areas of business benefit. 7.2.4.2 Tangible and intangible benefits. 7.2.4.3 Quantifying benefits. 7.2.5 Cost/benefit analysis using investment appraisal techniques. 7.2.6 Risks, including: 7.2.6.1 Areas of risk. 7.2.6.2 Types of risk. 7.2.6.3 Risk analysis. 7.2.7 Impacts. 7.2.8 Recommendations – the preferred option. 7.3 Interpret a scenario in order to identify the following: 7.3.1 Tangible and intangible costs. 7.3.2 Tangible and intangible benefits. 7.3.3 Risks. 7.3.4 Impacts. 7.4 Understand the rationale for the development of the financial case and the following appraisal techniques: 7.4.1 Payback. 7.4.2 Discounted cash flow. 7.4.3 Internal rate of return. 7.5 Explain where a business case sits within the business change lifecycle and the rationale for reviewing it at each stage.

OVERVIEW This 3-day BCS Foundation course covers the range of concepts, approaches and techniques that are applicable to Business Analysis. Candidates are required to demonstrate their knowledge and understanding of these aspects of Business Analysis. The BCS Foundation Certificate in Business Analysis certification provides a foundation for the range of specialist BCS modular certificates in the areas of Business Analysis, IS Consultancy and Business Change. The certification can also be used as the knowledge-based specialist module for the International Diploma in Business Analysis. In addition, the certification provides foundation-level Business Analysis knowledge for specialists in other disciplines, particularly Project Managers and System Developers. The syllabus is based on the BCS publication Business Analysis, 3rd edition, and it is recommended that this text is studied by those preparing to take this examination. The headings listed in the syllabus relate to the relevant chapter headings, section headings and text included in this publication. OBJECTIVES After you complete this course you will be able to demonstrate: Knowledge and understanding of business analysis principles and techniques The role and competencies of a business analyst Strategy analysis Business system and business process modelling Stakeholder analysis Investigation and modelling techniques Requirements engineering Business case development AUDIENCE This course is aimed at anyone requiring an understanding of Business Analysis, Business analysts, Business managers and their staff, Business change managers, Project managers CERTIFICATION Examination Details Examination type: Multiple-choice Questions Number of questions: 40 Pass mark: 65% Open book/notes: No Electronic equipment/aides permitted: No Exam duration: 60 minutes The Rules and Regulations for EXIN’s examinations apply to this exam. CONTENT 1. What is Business Analysis The origins of business analysis The development of business analysis The impact of outsourcing Competitive advantage of using IT Successful business change The importance of the business analyst Business analysts as internal consultants The scope of business analysis work The range of analysis activities Strategic analysis and definition IT systems analysis Business analysis Taking a holistic approach The role and responsibilities of a business analyst Definition of the business analyst role Further aspects of the business analyst role 2. The Competencies of a Business Analyst Personal qualities Business knowledge Professional techniques The development of competencies 3. Strategy Analysis The context for strategy The definition of strategy (Johnson, Scholes and Whittington 2008) Strategy development External environment analysis PESTLE analysis Porter’s five forces model Internal environment analysis MOST analysis Resource Audit Boston Box SWOT analysis Executing strategy The McKinsey 7-S model The Balanced Business Scorecard Critical Success Factors and Key Performance Indicators 4. The Business Analysis Process Model An approach to problem-solving Stages of the business analysis process model Investigate the situation Consider the perspectives Analyse the needs Evaluate the options Define the requirements Objectives of the process model stages Procedure for each process model stage Techniques used within each process model stage 5. Investigation techniques Interviews Advantages and disadvantages of interviewing Preparing for interviewing Conducting the interview Following up the interview Observation Advantages and disadvantages of observation Formal observation Protocol analysis Shadowing Ethnographic studies Workshops Advantages and disadvantages of workshops Preparing for the workshop Facilitating the workshop Techniques Following the workshop Scenarios Advantages and disadvantages of scenarios Process for developing scenarios Documenting scenarios Prototyping Advantages and disadvantages of prototyping Quantitative approaches Surveys or Questionnaires Special Purpose Records Activity Sampling Document Analysis Documenting the current situation Rich Pictures Mind Maps 6. Stakeholder Analysis and Management Stakeholder categories and identification Customers Partners Suppliers Competitors Regulators Owners Employees Managers Analysing stakeholders The Power/Interest Grid Stakeholder management strategies No or low interest and no or low power/influence Some or high interest but no or low power/influence No or low to high interest but some power/influence No or low interest but high power/influence Some interest and high power/influence High interest and high power/influence Managing stakeholders Stakeholder plan/assessment Understanding stakeholder perspectives Soft Systems Methodology Analysing the perspectives CATWOE Business activity models Creating a business activity model Types of activities – Plan, Enable, Do, Monitor, Control Developing a consensus model 7. Modelling Business Processes Organisational context Functional view of an organisation An alternative view of an organisation The organisational view of business processes Value propositions Process models Business events Developing the business process model Analysing the as-is process model Improving business processes (to-be business process) Business rules Simplify the process Remove bottlenecks Change the sequence of tasks Redefine process boundary Automate the processing Redesign the process 8. Defining the solution Gap analysis Identifying areas of concern Framework for gap analysis (elements of POPIT model) Formulating options Introduction to Business Architecture Definition of Business Architecture Business Architecture techniques Definition of a capability model Definition of a value stream 9. Making a Business and Financial Case The business case in the project lifecycle Identifying options Assessing project feasibility Business feasibility Technical feasibility Financial feasibility Structure of a business case Contents of a business case Categories of costs and benefits Impact assessment Risk assessment Investment appraisal Payback Discounted cash flow and Internal rate of return 10. Establishing the Requirements A framework for requirements engineering Actors in requirements engineering The business representatives The project team Requirements elicitation Tacit and explicit knowledge Requirements elicitation techniques Requirements analysis Requirements filters SMART requirements Requirements validation 11. Documenting and Managing Requirements The requirements document Structure Content of the requirements document The requirements catalogue Types of requirements; general, technical, functional and non-functional Hierarchy of requirements Documenting a requirement Managing requirements Elements of requirements management 12. Modelling Requirements Modelling system functions Use case diagrams Modelling system data Entity Relationship Diagrams Entities, attributes and relationships Types of relationships Class Models Objects and classes Attributes Associations 13. Delivering the Requirements Delivering the solution Context Lifecycles The waterfall lifecycle The ‘V’ model lifecycle Incremental lifecycle Iterative systems development lifecycle 14. Delivering the Business Solution BA role in the business change lifecycle Design stage Information and Technology Development Testing Design Implementation stage SARAH model Realisation stage Contents of the benefits plan