Many organizations seek competent auditors to determine whether their policies, procedures, and controls adhere to ISO 37301 requirements. This training course aims to help you complete these tasks successfully and intends to reflect the importance of effective CMS audits. In addition, this training course aims to strengthen your knowledge and skills to plan and carry out CMS audits based on the guidelines for auditing management systems provided in ISO 19011 and the certification process described in ISO/IEC 17021-1. This training course can potentially qualify you to conduct audits on behalf of conformity assessment bodies. The exercises, quizzes, and case studies provided in this training course are designed to help you practice the most important aspects of a CMS audit: ISO 37301 requirements, auditing principles, tools and techniques used to obtain evidence, leading a team of auditors, conducting interviews with auditee, reviewing documented information, drafting nonconformity reports, and preparing the final audit report. After successfully completing the training course, you can sit for the exam and gain the "Certified ISO 37301 Lead Auditor' credential. This credential validates your professional capabilities and demonstrates that you have the knowledge and skills to audit a CMS based on ISO 37301. About This Course This training course enables you to: Understand the main concepts of a compliance management system (CMS) and its processes based on ISO 37301 Acknowledge the relationship between ISO 37301 and other standards and regulatory frameworks Understand the auditor's role in planning, leading, and following up on a CMS audit in accordance with ISO 19011 Interpret the requirements of ISO 37301 in the context of a CMS audit Plan an audit, lead a team of auditors, draft nonconformity reports, and follow up on an audit Act with due professional care during an audit Course Agenda Day 1: Introduction to the compliance management system (CMS) and ISO 37301 Day 2: Audit principles and the preparation for and initiation of an audit Day 3: On-site audit activities Day 4: Closing of the audit and the Exam. Assessment Delegates sit a combined exam, consisting of in-course quizzes and exercises, as well as a final 12 question, essay type exam on Day 4 of the course. The overall passing score is 70%, to be achieved within the 150 minute time allowance. Exam results are provided within 24 hours, with both a Certificate and a digital badge provided as proof of success. Prerequisites A fundamental understanding of ISO 37301 requirements (or ISO 19600 guidelines) for a CMS and a comprehensive knowledge of audit principles. What's Included? Certification fees are included in the exam price. Training material of over 450 pages of information and practical examples. An attestation of course completion worth 31 CPD (Continuing Professional Development) credits will be issued to participants who have attended the training course. In case of exam failure, the candidate can retake the exam once for free within 12 months following the initial exam date. Who Should Attend? The ISO 37301 Lead Auditor training course is intended for: Auditors seeking to perform and lead CMS audits Managers or consultants seeking to master the CMS audit process Individuals responsible for maintaining conformity to ISO 37301 requirements in an organization Technical experts seeking to prepare for a CMS audit Expert advisors and compliance officers Accreditation Provided by This course is Accredited by NACS and Administered by the IECB.
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
Querying Microsoft SQL Server course description This course covers the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server and provides the foundation for all SQL Server-related disciplines; namely, database administration, database development and business intelligence. This course helps prepare for exam 70-761. Note: This course is designed for SQL Server 2014or SQL Server 2016. What will you learn Write SELECT statements. Create and implement views and table-valued functions. Transform data by implementing pivot, unpivot, rollup and cube. Create and implement stored procedures. Add programming constructs such as variables, conditions, and loops to T-SQL code. Querying Microsoft SQL Server course details Who will benefit: Database administrators, database developers, and business intelligence professionals. SQL power users, namely, report writers, business analysts and client application developers. Prerequisites: Database fundamentals Duration 5 days Querying Microsoft SQL Server course contents Introduction to Microsoft SQL Server Management studio, creating and organizing T-SQL scripts, using books online. Hands on working with SQL Server tools. T-SQL querying Introducing T-SQL, sets, predicate logic, logical order of operations in SELECT statements, basic SELECT statements, queries that filter data using predicates, queries that sort data using ORDER BY. Hands on introduction to T-SQL querying. Writing SELECT queries Writing simple SELECT statements, eliminating duplicates with DISTINCT, column and table aliases, simple CASE expressions. Hands on writing basic SELECT statements. Querying multiple tables cross joins and self joins, write queries that use Inner joins, write queries that use multiple-table inner joins, write queries that use self-joins, write queries that use outer joins, write queries that use cross joins. Hands on querying multiple tables. Sorting and filtering data Sorting data, filtering data with predicates, filtering data with TOP and OFFSET-FETCH, working with unknown values, WHERE clause, ORDER BY clause, TOP option, OFFSET-FETCH clause. Hands on sorting and filtering data. SQL Server data types Introducing SQL Server data types, Character data, date and time data, queries that return date and time data, write queries that use date and time functions, write queries that return character data, write queries that return character functions. Hands on working with SQL Server data types. DML Adding data to tables, modifying and removing data, generating automatic column values, Inserting records with DML, updating and deleting records using DML. Hands on using DML to modify data. Built-in functions Queries with built-in functions, conversion functions, logical functions, functions with NULL, queries that use conversion functions, queries that use logical functions, queries that test for nullability. Hands on built-in functions Grouping and aggregating data Aggregate functions, the GROUP BY clause, filtering groups with HAVING, queries that use the GROUP BY clause, queries that use aggregate functions, queries that use distinct aggregate functions, queries that filter groups with the HAVING clause. Hands on grouping and aggregating data. Subqueries Self-contained subqueries, correlated subqueries, EXISTS predicate with subqueries, scalar and multi-result subqueries. Hands on subqueries. Table expressions Views, inline table-valued functions, derived tables, common table expressions. queries that use views, write queries that use derived tables, Common Table Expressions (CTEs), write queries that se inline Table valued expressions (TVFs). Hands on table expressions. Set operators The UNION operator, EXCEPT and INTERSECT, APPLY, queries that use UNION set operators and UNION ALL, CROSS APPLY and OUTER APPLY operators. Hands on set operators. Windows ranking, offset, and aggregate functions OVER, window functions, ranking functions, offset functions, window aggregate functions. Hands on; windows ranking, offset, and aggregate functions. Pivoting and grouping sets PIVOT and UNPIVOT, grouping sets, queries that use the PIVOT operator, queries that use the UNPIVOT operator, queries that use the GROUPING SETS CUBE and ROLLUP subclauses. Hands on pivoting and grouping sets Executing stored procedures Querying data with stored procedures, passing parameters to stored procedures, simple stored procedures, dynamic SQL, the EXECUTE statement to invoke stored procedures. Hands on executing stored procedures. Programming with T-SQL T-SQL programming elements, controlling program flow, declaring variables and delimiting batches, control-of-flow elements, variables in a dynamic SQL statement, synonyms. Hands on programming with T-SQL Error handling T-SQL error handling, structured exception handling, redirect errors with TRY/CATCH, THROW to pass an error message back to a client. Hands on implementing error handling. Implementing transactions Transactions and the database engines, controlling transactions, BEGIN, COMMIT, and ROLLBACK, adding error handling to a CATCH block. Hands on implementing transactions.
Duration 2 Days 12 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using Tableau to perform numerical or general data analysis, visualization, and reporting. They need to provide data visualizations from multiple data sources, or combine data to show comparisons, manipulate data through calculations, create interactive visualizations, or create visualizations that showcase insights from statistical analysis. This course is also designed for students who plan to obtain Tableau Desktop Certified Associate certification, which requires candidates to pass the Tableau Desktop Certified Associate exam. Overview Blend data multiple sources. Join data. Access data in PDFs. Refine visualizations with sets and parameters. Analyze data with calculations. Visualize data with advanced calculations. Perform statistical analysis and forecasting. Create geographic visualizations. Get answers with Ask and Explain The advent of cloud computing and storage has ushered in the era of "big data." With the abundance of computational power and storage, organizations and employees with many different roles and responsibilities can benefit from analyzing data to find timely insights and gain competitive advantage. Data-backed visualizations allow anyone to 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. Beyond the fundamental capabilities of creating data driven visualizations, Tableau allows users to manipulate data with calculations to show insights, make visualizations interactive, and perform statistical analysis. This gives users the ability to create and share data driven insights with peers, executives, and clients. Prerequisites Tableau Desktop: Part 1 Lesson 1: Blending Data from Multiple Sources Topic A: Blend Data Topic B: Refine Blends to Visualize Key Information Lesson 2: Joining Data Topic A: Create Joins Topic B: Troubleshoot Joins Topic C: Merge Data with Unions Lesson 3: Accessing Data in PDFs Topic A: Connect to PDFs Topic B: Clean Up and Organize PDF Data Lesson 4: Refining Visualizations with Sets and Parameters Topic A: Create Sets Topic B: Analyze Data with Sets Topic C: Apply Parameters to Refine Visualizations Topic D: Create Advanced Visualizations Lesson 5: Analyzing Data with Calculations Topic A: Create Calculated Fields to Analyze Data Topic B: Manipulate Data with Functions Topic C: Analyze Data with Table Calculations Lesson 6: Visualizing Data with Advanced Calculations Topic A: Create Groups and Bins with Calculations Topic B: Analyze Data with LOD Expressions Lesson 7: Performing Statistical Analysis and Forecasting Topic A: Perform Statistical Analysis Topic B: Forecast Data Trends Lesson 8: Creating Geographic Visualizations Topic A: Create Maps Topic B: Customize Mapped Data Lesson 9: Getting Answers with Ask and Explain Topic A: Ask Data Topic B: Explain Data Additional course details: Nexus Humans Tableau Desktop - Part 2 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 Tableau Desktop - Part 2 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.
Duration 3 Days 18 CPD hours This course is intended for Analyst Developer End User Implementer Overview Schedule and Burst Reports Perform Translations Create Reports Integrated With Oracle BI EE Administer BI Publisher Server Describe BI Publisher Technology and Architecture Create reports from OBI EE data sources Create and Modify Data Models Create RTF Templates by Using Template Builder Explore and Use the Form Field Method for Creating RTF Templates Create Layouts by Using the Layout Editor This Oracle BI Publisher 12c training will help you build a foundation of understanding how to best leverage this solution. Through Classroom Training or Live Virtual Class Training, you'll learn the ins and outs of how to use this solution. BI Publisher Technology and Architecture Functional Components Layout Templates Multitier Architecture Enterprise Server Architecture and Performance and Scalability Document Generation Process and Output Formats Supported Data Sources Bursting Overview Internationalization and Language Support Getting Started with BI Publisher Logging In, the Home Page, and Global Header, and Setting Account Preferences Viewing Reports Managing Repository Objects Managing Favorites Using Create Report wizard to Create Reports Selecting Data: Data Model, Spreadsheet, and BI Subject Area Configuring Report Properties Using the Data Model Editor Exploring the Schemas Used in the Course Exploring the Data Model Editor UI and the Supported Data Sources Creating a Private Data Source Creating a Simple Data Model based on a SQL Query Data Set Using Query Builder to Build a Query Viewing Data and Saving Sample Data Sets Adding Parameters and LOVs to the Query Configuring Parameter Settings and Viewing Reports with Parameters Working with Layout Editor Opening the Layout Editor and Navigating the Layout Editor UI Creating a Layout by Using a Basic Template Inserting a Layout Grid Adding a Table, Formatting Columns, Defining Sorts and Groups, and Applying Conditional Formats Inserting and Editing Charts, and Converting Charts to a Pivot Tables Adding Repeating Sections, Text Items, and Images Working with Lists, Gauges and Pivot Tables Creating Boilerplates Using Template Builder to Create RTF Templates Using the BI Publisher Menu Bar Creating an RTF Template from a Sample, Changing Field Properties, and Previewing Table Data Adding a Chart to an RTF Template Designing an RTF Template for a BI Publisher Report Creating a BI Publisher Report by Using Template Builder in Online Mode Exploring the Basic and Form Field Methods Exploring Advanced RTF Template Techniques Including Conditional Formats, Watermarks, Page-Level Calculations, Running Totals, Grouping, and Sorting BI Publisher Server: Administration and Security Describing the Administration Page Creating the JDBC Connections Setting, Viewing, and Updating Data Sources Describing the Security Model for BI Publisher and Oracle Fusion Middleware Describing Groups, Users, Roles, and Permissions Describing Delivery Options Including Print, Fax, Email, WebDav, HTTP Server, FTP, and CUPS Describing and Configuring BI Publisher Scheduler Integrating with Oracle BI Presentation Services and Oracle Endeca Server Scheduling and Bursting Reports Scheduling and Describing a Report Job and Related Options Managing and Viewing a Report Job Viewing Report Job History Scheduling a Report with Trigger Describing Bursting Adding a Bursting Definition to a Data Model Scheduling a Bursting Job Integrating BI Publisher with Oracle BI Enterprise Edition Configuring Presentation Services Integration Navigating Oracle BI EE Creating a Report based on OBI EE Subject Area Creating a Data Model and Report based on a BI Server SQL Query Creating a Data Model and Report based on an Oracle BI Analysis Adding a BI Publisher Report to an Oracle BI EE Dashboard Creating Data Models and BI Publisher Reports Based on Other Data Sources Configuring Presentation Services Integration Describing the Web Services Data Source Describing the HTTP (XML/RSS Feed) Data Source Explaining Proxy Setting for Web Services and HTTP Data Sources Creating a BI Publisher Report based on an External Web Service Creating a BI Publisher Report based on an HTTP Data Set Creating a BI Publisher Report Based on XML File Creating a BI Publisher Report Based on CSV Data source Performing Translations Describing Translation Types Translating by Using the Localized Template Option Translating by Using the XLIFF Option Managing XLIFF Translations on BI Publisher Server Describing the Overall Translation Process Describing Catalog Translation Exporting and Importing the XLIFF for a Catalog Folder Additional course details: Nexus Humans Oracle BI Publisher 12c R1: Fundamentals 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 Oracle BI Publisher 12c R1: Fundamentals 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.
Duration 1 Days 6 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who receive Power BI data visualizations and reports from data analysts or from data visualization engineers. These data report recipients want to use the features and capabilities of Power BI to fully explore the visualizations and initial analyses provided to them in reports, perform additional analysis to ask next-level questions of the data, and to customize and create new visualizations and dashboards in order to share new insights and create compelling reports. Overview Explore Power BI reports. Analyze data to get answers and insights. Sort and group data for analysis and reporting. Filter visualizations. Prepare reports. Troubleshoot, collaborate, and share reports. As data acquisition, access, analysis, and reporting are interwoven with our businesses and lives, more and more data is collected about business and personal activities. This abundance of data and the computing power to analyze it has increased the use of data analysis and data visualization across a broad range of job roles. Decision makers of all types, including managers and executives, must interact with, interpret, and develop reports based on data and analysis provided to them. Microsoft Power BI software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed to business data decision makers. These decision makers can use Power BI's tools to explore the data, perform further analysis to find new insights, make decisions, and create customized reports to share their findings. Prerequisites To ensure your success in this course, you have experience managing data with Microsoft Excel or Google Sheets 1. Exploring Power BI Reports Topic A: Data Analysis Workflow with Power BI Topic B: Explore Reports in the Power BI Service Topic C: Edit Reports 2. Analyzing Data to Get Answers and Insights Topic A: Configure Data Visualizations Topic B: Ask New Questions by Changing Aggregation Topic C: Find Answers with Calculations 3. Sorting and Grouping Data for Analysis and Reporting Topic A: Sort Data Topic B: Group Data 4. Filtering Visualizations Topic A: Filter Data to Refine Analysis Topic B: Create Slicers for Reports 5. Preparing Reports Topic A: Format and Annotate Reports Topic B: Emphasize Data in Reports 6. Troubleshooting, Sharing, and Collaborating Topic A: Troubleshoot Data Issues Topic B: Collaborate in Power BI Topic C: Collaborate with Non-Power BI Users
Duration 2 Days 12 CPD hours This course is intended for First-time QuickBooks users will learn the basic features of the software. Experienced QuickBooks users will quickly learn the new features and functionality of QuickBooks 2015, 2016 or 2018. Overview Upon completion of this course, students will be able to identify the types of information often tracked in business, understand common business terms, enter information into forms and lists, work with the Chart of Accounts, work with inventory and service items, and work with invoices, payments, bills, and bank accounts. This course is an introduction to QuickBooks. Getting Started Starting QuickBooks Setting QuickBooks Preferences Identifying Components of the QuickBooks Operating Environment Using QuickBooks Help Identifying Common Business Terms Exiting QuickBooks Setting Up a Company Creating a QuickBooks Company Using the Chart of Accounts Working with Lists Creating Company Lists Working with the Customers & Jobs List Working with the Employees List Working with the Vendors List Working with the Item List Working with Other Lists Managing Lists Setting Up Inventory Entering Inventory Ordering Inventory Receiving Inventory Paying for Inventory Manually Adjusting Inventory Selling Your Product Creating Product Invoices Applying Credit to Invoices Emailing Invoices Setting Price Levels Creating Sales Receipts Invoicing for Services Setting Up a Service Item Changing the Invoice Format Creating a Service Invoice Editing an Invoice Voiding an Invoice Deleting an Invoice Entering Statement Charges Creating Billing Statements Processing Payments Displaying the Open Invoices Report Using the Income Tracker Receiving Payments for Invoices Making Deposits Handling Bounced Checks Working with Bank Accounts Writing a QuickBooks Check Voiding a QuickBooks Check Using Bank Account Registers Entering a Handwritten Check Transferring Funds Between Accounts Reconciling Checking Accounts Entering and Paying Bills Handling Expenses Using QuickBooks for Accounts Payable Entering Bills Paying Bills Entering Vendor Credit Using the EasyStep Interview Using the EasyStep Interview Additional course details: Nexus Humans Get Going with QuickBooks 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 Get Going with QuickBooks 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.
The insights gained from data analysis are only truly valuable when you can be clearly expressed to other people – bosses, colleagues, clients, customers, or other stakeholders. In this workshop you’ll learn how to turn raw qualitative or quantitative data into a clear visual story through infographics and data visualization. We'll discuss the key principles for planning an effective visual, look at examples of best (and worst) practice, and learn repeatable and practical design techniques for enhancing the story. We'll also give you an overview of useful tools that will help you turn your idea into a finished infographic or data visualization. You could be conjuring up eye-catching slide decks, building effective reports and dashboards, pitching to investors, or presenting persuasive data to your most important customers. This is a fully interactive online workshop, so be prepared to join discussions and get hands on with building your own visualisations. Takeaways Be able to evaluate the elements that make an infographic or visualization effective. Learn quick and repeatable visual tricks for ensuring infographics convey a clear message. Understand how to tailor your approach to different audiences and context. Discover a bunch of free tools and resources to help you build your own visualizations. Understand how online, interactive visualizations work and how to create them. 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. Testimonials "Just to say what a great course this was. I have made my first report employing some of the ideas and tools you showed us – to rapturous responses! The next actions are clear for all and they all understood it! Thank you for helping me to organise my data and thoughts, showing how to present the key message up front, and how to keep it simple and focused. Gearing up for another report now!" Kay Anderson | Head of Finance | Mima "We have been using Tableau to display data for some time but knew we could do more to engage our end users. Alan’s training gave us a framework to start thinking about what we wanted to achieve with our visualisations and analysis, and some great tips on how to display information for maximum impact. Alan was an engaging trainer and we found the workshops very energising." Ellen Austin | Senior Data Analyst | London School of Economics
Duration 1 Days 6 CPD hours This course is intended for Multi-role (consumers, business authors, professional authors, developers, administrators, modelers, project managers) This course provides students with an overview of the IBM Cognos Analytics suite of products and their underlying architecture. Students will examine each component as it relates to an Analytics solution & will be shown a range of resources. IBM Cognos Analytics Describe IBM Cognos Analytics Describe IBM Cognos Analytics components Describe IBM Cognos architecture at a high level Describe IBM Cognos security at a high level Consume Content in IBM Cognos Analytics Where do consumers access BI content? Use published reports Drill through to related data Specify run report options Specify properties of an entry Alerts and Watch Items Create Reports in IBM Cognos Analytics Overview of reporting and report authoring Identify package types, uploaded files, and data modules available for reporting Examine IBM Cognos Analytics - Reporting Examine the interface Explore different report types Create a simple, sorted, and formatted report Create a report view Create a subscription Create an Active Report Import and report on personal data Create Dashboards in IBM Cognos Analytics Describe IBM Cognos Dashboarding Identify the IBM Cognos Dashboarding user interface Add report content and tools to create dashboards Widget-to-widget communication Filter data in the dashboard Sort, group and ungroup, and calculate data Create Metadata Models in IBM Cognos Analytics Define IBM Cognos Framework Manager and its purpose Describe the IBM Cognos Framework Manager environment Describe IBM Cognos Cube Designer Get high-level content from Dynamic Cubes course and/or FM course Web-based Modeling Create Data Modules Extend IBM Cognos Analytics Introduction to IBM Cognos Mobile Key features Examine Cognos Mobile architecture Identify supported products Introduction to IBM Cognos BI for Microsoft Office Describe Cognos Analysis for Excel (CAFÂ) Compare IBM Cognos Analytics & IBM Cognos BI New features in IBM Cognos Analytics Changes from IBM Cognos BI to IBM Cognos Analytics Legacy option Examine Event Studio Examine the role of Event Studio in Performance Management List the benefits of Event Studio Examine Metric Studio Identify scorecards, metrics, and metric types Organize metrics with strategies Track initiatives with projects