647 Professional Development courses in Cardiff delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for Administrators Overview Please refer to course overview This offering covers the fundamental concepts of installing and configuring IBM Cognos Analytics, and administering servers and content, in a distributed environment. In the course, participants will identify requirements for the installation and configuration of a distributed IBM Cognos Analytics software environment, implement security in the environment, and manage the server components. Students will also monitor and schedule tasks, create data sources, and manage and deploy content in the portal and IBM Cognos Administration. Introduction to IBM Cognos Analytics administration IBM Cognos Analytics components Administration workflow IBM Cognos Administration IBM Cognos Configuration Identify IBM Cognos Analytics architecture Features of the IBM Cognos Analytics architecture Examine the multi-tiered architecture, and identify logging types and files Examine IBM Cognos Analytics servlets Performance and installation planning Balance the request load Configure IBM Cognos Analytics Secure the IBM Cognos Analytics environment Identify the IBM Cognos Analytics security model Define authentication in IBM Cognos Analytics Define authorization in IBM Cognos Analytics Identify security policies Secure the IBM Cognos Analytics environment Administer the IBM Cognos Analytics server environment Administer IBM Cognos Analytics servers Monitor system performance Manage dispatchers and services Tune system performance, and troubleshoot the server Audit logging Dynamic cube data source administration workflow Manage run activities View current, past, and upcoming activities Manage schedules Manage content in IBM Cognos Administration Data sources and packages Manage visualizations in the library Deployment Other content management tasks Examine departmental administration capabilities Create and manage team members Manage activities Create and manage content and data Manage system settings Manage Themes, Extensions, and Views Share services with multiple tenants

Duration 2 Days 12 CPD hours This course is intended for This course is intended for SQL professionals, Microsoft Analysis Services cube and report developers, and business intelligence professionals. Overview ?Understand common Analysis Services solutions.?Understand version changes of SSAS from 2008-2014.?Understand Analysis Services installation and architecture.?Understand how to choose the right model.?Understand the Analysis Services tools available.?Understand the multidimensional model.?Utilize data sources and data source views.?Create a cube.?Understand and utilize dimensions.?Understand and utilize attributes.?Understand and utilize relationships.?Understand and utilize hierarchies.?Understand and utilize measures and measure groups.?Understand and utilize calculated members.?Understand and utilize perspectives.?Understand and utilize translations.?Browse perspectives and translations.?Understand and utilize deployment options.?Understand and utilize processing strategies.?Understand and utilize security.?Deploy a multidimensional model.?Understand the tabular model.?Create a tabular project.?Analyze the data using Microsoft Excel.?Create and configure calculated measures and calculated fields.?Backup and Restore. This course is intended for IT professionals who are interested in quickly learning how to utilize an Analysis Services multidimensional or tabular solution. Course Overview Introduction Course Materials Facilities Prerequisites What We'll Be Discussing Lab 1: Course Overview Introduction to Microsoft SQL Server Analysis Services Common Analysis Services Solutions Version Changes of SSAS from 2008-2014 Analysis Services Installation and Architecture: One Product, Two Models Choosing the Right Model Analysis Services Tools Lab 1: Introduction to Microsoft SQL Server Analysis Services The Multidimensional Solution Understanding the Multidimensional Model Utilizing Data Sources and Data Source Views Creating a Cube Lab 1: The Multidimensional Solution Dissecting with Dimensions Developing Dimensions Utilizing Attributes Relating with Relationships Handling Hierarchies Lab 1: Dissecting with Dimensions Managing Measures Measures and Measure Groups Calculated Members Lab 1: Managing Measures Configuring Cube Options Understanding Perspectives Utilizing Translations Browsing Perspectives and Translations Lab 1: Configuring Cube Options Deploying Examining Deployment Options Processing Strategies Exploring Security Lab 1: Deploying The Tabular Solution Understanding the Tabular Model Creating a Tabular Project Deploying Browsing the Model Querying the Solution and Understanding DAX Maintaining and Optimizing Lab 1: The Tabular Solution

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 (CAF) 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

It is essential that those charged with responsibility for credit control and debt recovery have a full appreciation of the relevant law: no-one can negotiate effectively to recover a debt if they don't understand the ultimate sanctions they can apply. This programme is designed to give them a practical, up-to-date understanding of the law as it applies to your particular organisation. This course will help ensure that participants: Understand the relevant laws Know how and when to invoke legal processes Avoid legal pitfalls in debt collection negotiations Specific, practical learning points include: Definition of 'harassment' How to set up an in-house collection identity Whether cheques in 'full and final settlement' are binding The best steps to trace a 'gone away'... and many, many more. 1 Data protection and debt recovery There are a whole range of things which can be checked on members of the public and which are not affected by the restraints of the Data Protection Act. These will be explained in simple, clear terms so that staff can use this information immediately. 2 County Court suing The expert trainer will show how to sue for money owed, obtain judgment and commence enforcement action without leaving your desk. This module is aimed at showing how to make the Courts work for you instead of the other way around! 3 Enforcement of judgments There are many people who have a County Court Judgment (CCJ) against their debtor but who still remain unpaid. This session explains each of the enforcement methods and how to use them to best effect. Enforcement methods covered include: Warrant of Execution Using the sheriff (now known as High Court Enforcement Officers) Attachment of earnings Third Party Debt Orders Charging Orders (over property and goods) Winding-up companies and making individuals bankrupt 4 Office of Fair Trading rules on debt recovery Surprisingly few people are aware of the Office of Fair Trading rules on debt recovery and many of those that do know think they don't apply to them - but they do. Make sure you know what you need to! 5 New methods to trace elusive, absentee and 'gone away' debtors Why write the money off when you can trace the debtor and collect the money you are owed? 6 Credit checking of new and existing customers It makes sense to credit check would-be, new and existing customers to evaluate the likelihood of payment delays or perhaps not being paid at all. This session shows a range of credit checking steps, many of which can be done completely free of charge, including a sample credit application/ account opening form. 7 Late Payment of Commercial Debts Regulations Do your staff understand this legislation and how to use it to make people pay quicker than ever before? The trainer shows how. 8 The Enterprise Act The Enterprise Act made some startling changes to corporate and personal insolvency. What are the implications for credit control and debt recovery within your organisation?

How to protect your cash flow In the current economic climate more and more companies are finding that their customers are taking longer to pay - or are not even paying at all. As cash flow is key to the survival of any business, effective debt collection tactics are vital for all businesses. This workshop concentrates on the telephone skills and techniques you can use to achieve the most positive outcome in any debt collection situation - payment of money owed, as soon as possible, whilst keeping the collection cost as low as possible. The course will help you: Understand your debtors and communicate with them accordingly Develop a strategy for more effective debt collection Make every call count Handle difficult calls Reduce the amount of time you need to spend on chasing payment Increase your collection rates 1 The debt collection process Understanding the reasons behind payment default Looking at the debt situation from the customer's point of view Developing a strategy for effective debt collection 2 Advanced telephone communication skills Techniques for speaking to the person responsible for paying the debt How to gain the customer's trust when discussing debt Telephone collection skills best practice Key phrases that keep the conversation positive and open 3 Questioning and listening skills for gathering information Different types of question Using high-gain questions to uncover key information Active listening that will help you understand what customers are really saying Leading with examples and high-impact questions Summarising and restating 4 Overcoming objections and excuses Identifying objections Preparing suitable responses Probing objections and ways to overcome them 5 Gaining commitment and ending the call Learn how to negotiate an agreement to suit both parties Summarising actions for you and the customer Ending the call professionally 6 Dealing with difficult and challenging situations Understand different personality types The correct way to respond to an upset customer Ways to calm angry customers (and handle verbal attacks) 7 Action plans Course summary and presentation of action plans

This is not a single course but a set of menu options from which you can 'pick and mix' to create a draft programme yourself, as a discussion document which we can then fine-tune with you. For a day's training course, simply consider your objectives, select six hours' worth of modules and let us do the fine-tuning so that you get the best possible training result. Consider your objectives carefully for maximum benefit from the course. Is the training for new or experienced credit control staff? Are there specific issues to be addressed within your particular sector (eg, housing, education, utilities, etc)? Do your staff need to know more about the legal issues? Or would a practical demonstration of effective telephone tactics be more useful to them? Menu Rather than a generic course outline, the expert trainer has prepared a training 'menu' from which you can select those topics of most relevance to your organisation. We can then work with you to tailor a programme that will meet your specific objectives. Advanced credit control skills for supervisors - 1⁄2 day Basic legal overview: do's and don'ts of debt recovery - 2 hours Body language in the credit and debt sphere - 1⁄2 day County Court suing and enforcement - 1⁄2 day Credit checking and assessment - 1 hour Customer visits and 'face to face' debt recovery skills - 1⁄2 day Data Protection Act explained - 1⁄2 day Dealing with 'Caring Agencies' and third parties - 1 hour Debt counselling skills - 2 hours Elementary credit control skills for new staff - 1⁄2 day Granting credit and collecting debt in Europe - 1⁄2 day Identifying debtors by 'type' to handle them accurately - 1 hour Insolvency: Understanding bankruptcy / receivership / administration / winding-up / liquidation / CVAs and IVAs - 2 hours Late Payment of Commercial Debts Interest Act explained - 2 hours Liaison with sales and other departments for maximum credit effectiveness - 1 hour Suing in Scottish Courts (Small Claims and Summary Cause) - 1⁄2 day Telephone techniques for successful debt collection - 11⁄2 hours Terms and conditions of business with regard to credit and debt - 2 hours Tracing 'gone away' debtors (both corporate and individual) - 11⁄2 hours What to do if you/your organisation are sued - 1⁄2 day Other topics you might wish to consider could include: Assessment of new customers as debtor risks Attachment of Earnings Orders Bailiffs and how to make them work for you Benefit overpayments and how to recover them Cash flow problems (business) Charging Orders over property/assets Credit policy: how to write one Council and Local Authority debt recovery Consumer Credit Act debt issues Using debt collection agencies Director's or personal guarantees Domestic debt collection by telephone Exports (world-wide) and payment for Emergency debt recovery measures Education Sector debt recovery Forms used in credit control Factoring of sales invoices Finance Sector debt recovery needs Third Party Debt Orders (Enforcement) Government departments (collection from) Harassment (what it is - and what it is not) Health sector debt recovery skills Hardship (members of the public) Insolvency and the Insolvency Act In-house collection agency (how to set up) Instalments: getting offers which are kept Judgment (explanation of types) Keeping customers while collecting the debt Late payment penalties and sanctions Letter writing for debt recovery Major companies as debtors Members of the public as debtors Monitoring of major debtors and risks Negotiation skills for debt recovery Old debts and how to collect them Out of hours telephone calls and visits Office of Fair Trading and collections Oral Examination (Enforcement) Pro-active telephone collection Parents of young debtors Partnerships as debtors Positive language in debt recovery Pre-litigation checking skills Power listening skills Questions to solicit information Retention of title and 'Romalpa' clauses Sale of Goods Act explained Salesmen and debt recovery Sheriffs to enforce your judgment Students as debtors Statutory demands for payment Small companies (collection from) Sundry debts (collection of) Terms and Conditions of Contract Tracing 'gone away' debtors The telephone bureau and credit control Taking away reasons not to pay Train the trainer skills Utility collection needs Visits for collection and recovery Warrant of execution (enforcement)

This course is designed specifically to help improve your collection rates. The UK's leading trainer in the subject uses practical examples and case studies to show how to use debt collection techniques that really work. This programme will help participants to: Understand debtors and communicate with them effectively Improve their telephone and writing skills Appreciate the key legal issues Track down 'gone-aways' Improve their collection rates 1 Giving credit and collecting debts The benefits when you get it right The cost of getting it wrong 2 Analysing yourself The importance of making the right 'first impression' Assessing your own personal communication style and how this affects your results How do you (or might you) look in the debtor's eyes? What would you like to change? 3 Analysing your debtors Types of debtorThe delaying debtorThe genuine debtorThe cashflow or hardship problem debtorThe ones who never intended to pay Spot the most common reasons and excuses for non-payment - and learn how to deal with them 4 Understanding debt recovery and the law Data protection issues County Court suing enforcement methods Human rights and debt recovery Retention of title matters 5 Telephone skills for debt recovery A 7-point plan which works every time Learning by example: listening to and analysing some pre-recorded (or live) collection callsWhat was done well?What should have been done differently?Did the collector recognise opportunities?Did the collector create opportunities where seemingly none existed?Did the collector negotiate well or not at all? 6 Writing skills for debt recovery Key phrases to avoid What to include A sample letter which gets results in over 90% of cases 7 Tracking down the 'gone aways' A unique debtor-tracing plan Why spend money on external tracers when you can find those 'gone away' debtors for yourself? 8 Course review The traps to avoid Key personal learning points

The work of a technical team is invariably challenging and often unpredictable. Definition of the work can be problematic, timescales can be hard to estimate and the right technical approach difficult to select. Staff involved in this type of work usually have very high levels of specialist knowledge in their field and have high expectations of those who lead them. In addition to the challenges of the work, the team leader often has to balance the need for professional excellence with financial and commercial considerations and to ensure that team goals are realistic by being an effective negotiator with other project and senior managers. These characteristics make technical team leadership a demanding and complex activity. This programme aims to help participants develop the skills needed to become an effective technical team leader. The objectives of this programme are to help participants: understand the significance of leadership skills and their impact on team performance review the key skills needed to be an effective, 'multi-dimensional' team leader and learn how to develop, adapt and apply them in practice learn how to identify the preferred leadership style for the context and organisational culture and how to develop personal style versatility understand the role of the project leader in building an effective team and the skills required to promote and sustain team performance gain a better understanding of the interpersonal skills needed to motivate individual team members and harness the full potential of the team DAY ONE 1 Technical teams and leadership What is a leader? How much can leadership be learned? The team environment and the impact of leadership skills The characteristics of high performance teams and their leaders Some useful models and theories of leadership explored Types of leadership; choosing how to use leadership power Evaluating personal leadership style; how to develop style flexibility 2 Essential skills for team leaders 3 key dimensions of effective leadership: inwards, outwards and upwards Developing and promoting a 'team vision': strategic thinking skills The vital role of communication skills and how to develop them Understanding others; emotional intelligence skills Being a visible leader; behavioural and influencing skills Building effective relationships; the importance of trust and respect DAY TWO 3 Leading inwards to build the team The role of leadership in developing team performance Understanding individuals in the team; recognising team role preferences Managing conflict and promoting positive team dynamics Setting standards, maintaining discipline and rewarding performance Harnessing team potential: building motivation within the team Promoting team learning; the team leader as coach / mentor 4 Leading outwards and upwards to support the team Negotiating realistic team goals; effective influencing skills Gaining empowerment and support from the key stakeholders Leading upwards: knowing when and how to take the initiative Building team credibility within the organisation; helping the team deliver Becoming an effective team player in leadership teams Building and maintaining rapport with influential stakeholders

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Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?