2892 Development courses in London delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who know how to create basic list and group reports and need to create reports that include subreports, cross-tabs, advanced formulas, and charts based on more than one data series. They may also need to build tools that make it easier for other people to create reports. They may or may not have programming and/or SQL experience. Overview In this course, you will create complex reports using tools in Crystal Reports 2016. You will: Create automatic and manual running totals. Work with cross-tab reports. Add subreports. Create drill-downs in a report. Use SQL statements in report processing. Create complex formulas. Add charts to reports. Enhance report functionality. In this course, students will create complex reports & data sources using the tools in Crystal Reports 2016. Students will not only create more complex reports including sub-reports and cross-tabs, but will also increase their speed and efficiency. 1 - CREATING RUNNING TOTALS Topic A: Create a Running Total Field Topic B: Modify a Running Total Field Topic C: Create a Manual Running Total 2 - WORKING WITH CROSS-TABS Topic A: Create a Cross-Tab Report Topic B: Format a Cross-Tab Report Topic C: Create Groups in Cross-Tab Reports 3 - ADDING SUBREPORTS Topic A: Insert a Subreport Topic B: Edit a Subreport Topic C: Share Variables 4 - CREATING DRILL-DOWNS IN A REPORT Topic A: Create a Drill-Down Topic B: Create Headings for Drill-Down Data 5 - USING SQL STATEMENTS IN REPORT PROCESSING Topic A: Create a Report Using SQL Queries Topic B: Summarize Report Data Topic C: Create Joins Using SQL Topic D: Create Subqueries Topic E: Create an SQL Expression Field 6 - CREATING COMPLEX FORMULAS Topic A: Work with Loops Topic B: Work with Arrays 7 - ADDING CHARTS TO REPORTS Topic A: Create Charts Topic B: Create a Chart with Drill-Down Topic C: Create a Top N Chart Topic D: Create a Cross-Tab Chart Topic E: Create Charts for Grouped Data Topic F: Format a Chart Topic G: Create a Chart Template 8 - ENHANCING REPORT FUNCTIONALITY Topic A: Organize Data Based on a Hierarchy Topic B: Create a Dynamic Image Topic C: Create a Report Alert Topic D: Create a Geographic Map 9 - APPENDIX Appendix A: Managing Reports Appendix B: Processing Data on the Server Appendix C: Detecting and Fixing Problems

Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who need output from a database. In some cases, database programs have limited reporting tools, or tools that are not accessible. Learners may or may not have programming or SQL experience. Overview In this course, you will connect to a database to extract data and present it as a report. You will: Identify the elements of the Crystal Reports interface. Create and modify a basic report. Use formulas to calculate and filter data. Build a parameterized report. Group report data. Enhance a report. Create a report using data from an Excel workbook. Distribute data. In this course, students will create a basic report by connecting to a database and modifying the report's presentation. 1 - EXPLORING THE CRYSTAL REPORTS INTERFACE Topic A: Explore Crystal Reports Topic B: Use Crystal Reports Help Topic C: Customize Report Settings 2 - WORKING WITH REPORTS Topic A: Create a Report Topic B: Modify a Report Topic C: Display Specific Report Data Topic D: Work with Report Sections 3 - USING FORMULAS IN REPORTS Topic A: Create a Formula Topic B: Edit a Formula Topic C: Filter Data by Using a Formula Topic D: Work with Advanced Formulas and Functions Topic E: Handle Null Values 4 - BUILDING PARAMETERIZED REPORTS Topic A: Create a Parameter Field Topic B: Use a Range Parameter in a Report Topic C: Create a Prompt 5 - GROUPING REPORT DATA Topic A: Group Report Data Topic B: Modify a Group Report Topic C: Group by Using Parameters Topic D: Create a Parameterized Top N Report 6 - ENHANCING A REPORT Topic A: Format a Report Topic B: Insert Objects in a Report Topic C: Suppress Report Sections Topic D: Use Report Templates 7 - CREATING A REPORT FROM EXCEL DATA Topic A: Create a Report Based on Excel Data Topic B: Modify a Report Generated from Excel Data Topic C: Update Data in a Report Based on Excel Data 8 - DISTRIBUTING DATA Topic A: Export Data Topic B: Create Mailing Labels 9 - APPENDIX Appendix A: Setting Up and Configuring Data Sources Appendix B: Using Report Processing Techniques Appendix C: Using Functions in Formulas

Competition in the communications sector is complex and fast-changing. This presents both risks and opportunities to providers, as well as challenges for public authorities. Would you like to gain expert insights on the practical applications of competition law in the regulated telecoms industry? Then, this training is for you! Presented by experts through practical case examples, this online training will guide you through the latest competition law developments affecting the telecoms industry and give you a full overview of the role played by competiton law in shaping the telecoms market. Topics covered include:  Relationship between competition law and sector-specific telecoms regulation Market definition Telecoms mergers Antitrust aspects of network co-operation Typical abuses of dominance in the telecoms sector Broadband state aid When: 17-19 September 2024 - 9 hours of interactive sessions spread over 3 days Where: Online, using Microsoft Teams Cannot make it to one of the sessions? All sessions will be recorded and made available to registered participants.

The Internet of Things (IoT) promises a wide range of benefits for industry, energy and utility companies, municipalities, healthcare, and consumers. Data can be collected in extraordinary volume and detail regarding almost anything worth measuring, such as public health and safety, the environment, industrial and agricultural production, energy, and utilities.

Lean Six Sigma Yellow Belt Certification Program: In-House Training This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. Participants will learn basic tools and techniques of Lean Six Sigma and those who pass a thirty-question exam (70% or above) will become a Certified Lean Six Sigma Yellow Belt. This course is delivered through four 3-hour online sessions. What you Will Learn You'll learn how to: Establish the structure that supports and sustains Lean Six Sigma Quality Identify and calculate key Lean Six Sigma Measurements (Sigma, DPMO, and Yield) Select successful, high-impact projects that match strategic objectives Document, measure, and improve key processes using the DMAIC (Define, Measure, Analyze, Improve, and Control) Methodology Utilize data-based thinking to make key business decisions Introduction to the Fundamentals and Vision of Lean Six Sigma Lean Six Sigma's focus on the customer, on quality, and on results The costs of poor quality Critical factors to consider when deploying Lean Six Sigma Lean Six Sigma as a process improvement methodology Lean Six Sigma metrics Why do it - ROI and payback for Lean Six Sigma Business Process Management Critical Lean Six Sigma roles and responsibilities Main aspects of managing the organizational change Project selection Metrics of Lean Six Sigma and the DMAIC Model How to strategically align business metrics and projects within an organization How to identify and measure quality characteristics which are critical to customers What does the customer (internal or external) really want from our products and services? Establishing appropriate teams and setting those teams up to be successful What defines a good measurement system? How are we doing (learning the secret to measuring the right things, right)? How to improve output measures by understanding and measuring the process Where are there defects (how to properly select and scope high-impact projects)? Where is the process broken (the Lean Six Sigma version of root cause analysis)? How to determine the process efficiency, or value add, of a process The appropriate use of quality tools Understanding the concept of variation and how to reduce knee-jerk reactions How to achieve breakthrough results for any key measure How can we ensure the identified improvements will be sustainable (the basics of process control)?

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

Project Quality Management: Virtual In-House Training In today's environment, quality is the responsibility of everyone. Project success is no longer just the fulfillment of a project on schedule, on budget, and within the scope. Today, projects aren't successful unless the customer's needs are met at the highest level of quality at the lowest cost to the organization. Project Managers must know customer needs, and manage to them throughout the project lifecycle, in order to gain acceptance. Project Quality Management provides an interactive, hands-on environment for participants to practice identification of critical quality requirements (quality planning), fulfillment of those requirements through well-designed processes (Quality Assurance), and statistical awareness of technical specifications of project deliverables (Quality Control). What You Will Learn You'll learn how to: Plan for higher quality project deliverables Measure key performance indicators on projects, processes, and products Turn data into useful project information Take action on analyzed data that will drive down non-value-added costs and drive up customer acceptance and satisfaction Reduce defects and waste in current project management processes Foundation Concepts Quality Defined Customer Focus Financial Focus Quality Management Process Management Cost of Quality Planning for Quality Project Manager Role in Planning Voice of the Customer Quality Management Plan Measurement System Accuracy Data Gathering Data Sampling Manage Quality Process Management Process Mapping Process Analysis Value Stream Mapping Standardization Visual Workplace and 5S Error Proofing (Poka-Yoke) Failure Mode and Effect Analysis Control Quality The Concept of Variation Common Cause Special Cause Standard Business Reports Tracking Key Measurements Control Charts Data Analysis Variation Root Cause Analysis Variance Management Designing for Quality