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21 Courses in Bristol
CONSULTATIVE SELLING Training Programme Framework
By Dickson Training Ltd
Key Objectives for the Training provision Effective listening to a client's needs and requirements during various stages of the sales process. Engage in meaningful communication with clients, learn to identify challenges and opportunities that relate to the prospects. Overcome the identified challenge. Build long term rapport and establish trust with the prospect throughout the sales process, Ensure continued customer satisfaction that can turn into repeat business. Be able to build rapport with customers or clients. Know the right questions to ask to fully understand the customer or client’s needs without putting on any pressure. Be able to check you have the right information from the customer or client. Be able to match products and services to the customer or client using the information you have gathered. Be able to influence effectively. Know how to stand out from your competitors. Stage 1 – Research the Company’s ‘Value Propositions’ and USP Analysis Conducting 30 min confidential interviews with a cross-section of the eligible Attendees & the Stakeholders, in order to gain an objective understanding of the various scenarios and clients that the Participants work with. the Company’s ‘Value Propositions’ Unique Selling Points The Customers’ journey(s) The Competition’s offers for analysis and comparisons. From these findings, a carefully calibrated bespoke Programme will be designed and delivered. Stage 2 - Design the Bespoke 2 x day Course nd Stage 3 - Delivery of the Course Programme This Programme can be delivered in 2 x consecutive days, or split between 2 – 3 weeks, to make it more ‘work-friendly’ – if required. It is very practical and commercially focussed in approach, with lots of interactive exercises designed to draw out the learning applications via the debriefings. The ‘Real Play’ scenarios on day 2 will be based on specific case studies drawn from the Research findings so that they are authentic to optimise the learning. Individual Action Plans will be captured at the end of each day to be debriefed by the Participants’ respective Line Managers. Template Programme Day One – Foundation – Strategic Approach Section One – The Principles of Consultative Selling Defining ‘Consultative Selling’ The Company’s ‘Unique Selling Points’ & Value Proposition The Consultative Selling model – the five stages Avoiding appearing ‘pushy’, ‘pressurising’ or ‘talking through the sale’ Section Two –Strategy & Preparation ‘Buy-Class’ Matrix Strategic plan Template – matching services/products to identified needs & opportunities. Preparing a range of objectives Constants and variables – USP’s Researching key Client/Decision Makers’ priorities, profile & background (LinkedIn etc.) Preparing for potential & likely Objections Section Three – Email etiquette & ‘influencing’ email correspondence. Email etiquette A.B.S.U.R.D model Clarity and tone – discovery of clients’ needs & motivational factors. Techniques to influence and ‘nudge’. Ensuring the data and content have a ‘gentle’ motivational & appealing message. Top Tips Day Two – Practical Application Section Four – Rapport Building & Effective Communication skills ‘Behaviour Labelling’ techniques – setting a positive tone. Asking Open Questions – gaining a full understanding of the clients’ priorities & expectations. EQ - Inviting opinions; perspectives; experiences – winning confidence. Active Listening – focus and commitment to understand. ‘Reading the room’ – adapting to responses and reactions. Maintaining focus on relevant topics that the Client cares about; carefully consider the opportunities to influence. But NO PRESSURE! Building a ‘bond of trust’ with commitments and authentic, shared values. Section Five – Explaining the Benefits – aligned to the Customers’ Priorities Understanding ‘Why do People Buy?’ Research data analysis. Open questions that lead to understanding the key issues and Clients’ priorities. Avoiding the danger of ‘pressurising’ the Client. Responding to objections effectively, with confidence and sensitivity. Explaining the benefits that are aligned to the Clients’ stated requirements. Making the Data ‘sing’ – memorable takeaways for the Client. Augmented benefits – Brand confidence; Case studies; Warranty; Service; Range; Flexibility etc. in alignment with their stated preferences/requirements Differentials compared to Competitors Section Six – Winning Commitment Inviting commitment – with confidence Consultative Selling Closing techniques (e.g. Alternative Close/Assumptive Close et al) Avoiding ‘talking through the sale’ – knowing when to ‘Shut UP!’ Confirming agreement – ensuring Clients’ motivation for repeat business Section Seven – Practical Application ‘Real Play’ From the Research findings, carefully devised scenarios can be generated to provide the most valuable learning opportunities to underpin all the skills & techniques covered in the Programme. Potential Real Play scenarios: A well-established customer has indicated that they are soon to be opening up additional new offices – this presents an opportunity to arrange for the Company to support them with their upcoming needs. After some very positive feedback and with the upcoming contract renewal imminent – how can the Company give the Customer more high-quality support in other areas of their business? A Competitor has been to see the client and they have prompted some concerns about ‘value for money’ & ‘quality of service’. How Real Play works… The group is split the group into 2 sub-groups, one with our Professional Actor (option available); the other with the Trainer or a willing Participant. Each group has a brief and has to instruct their Trainer/Actor/Participant on how to approach the scenario supplied. The Actor and Trainer (or willing Participant) perform the role play(s) as instructed by their respective teams; however, during the action they can be paused for further recommendations or direction. The outcome is the responsibility of the team(s) – not the performers. Debrief the full Programme Individual Action Plans - to be followed through. ‘Best Practices’ for application into the business Options for Exercises within the Programme Sample Exercise – Red & White There is a specific time managed agenda and itinerary, which puts the group under pressure. The key challenge is for the sub-groups to maximise the commercial value from the task, however there is always a great danger that the individuals attempt to gain financial progress at the expense of the other group! Debriefing points: Persuasive communication and influence across barriers Gaining buy-in when others are sceptical Strategic planning accounting for others’ behaviours Sample Exercise – Communication Challenge Each Participant has different pieces of information, but are not allowed to share it visually. They are only allowed to communicate to work out the solution hidden among the large amount of data. Debrief: Structured approach Maintaining focus through distractions/interference Active Listening Controlled communication Sample Exercise – Persuasive emails Sample emails are shared to be critiqued and improved upon to be debriefed: Tone & impact Making the Data ‘sing’ Influential & motivational language Customer centric message. Sample Exercise –Juggling Each Participant has to pass the ‘Customers’ (Juggling balls) carefully through the system with all the other Participants to reach a profitable conclusion Debrief: EQ to read the room and effectively communicate, when the pressure is on Customer focus and adapting to challenges Devising a plan that wins buy-in Overcoming competing ideas to get to ‘best practice’ Consistent commitment, communication and motivational drivers that influenced performance. Sample Exercise –Critical Path The group are provided with 30 x discs and some ‘post-it’ notes. (no pens or pencils are allowed) Their brief is to create a grid shape with the 30 x discs, which will act as ‘stepping stones’ for the ‘Critical Path’ But they have to follow the correct order through the grid from the start to finish, which they will have to work out through ‘trial & error’ All of the team must pass through the ‘Critical Path’ worked out on the grid, observing the constraints, within the time limit. No talking is permitted once they start using the materials Debrief: - Clear communication focussing on the ‘client’s journey’ Planning for challenges Identifying risks and mitigating them Role allocations & support Quality control and disciplines Sample Exercise –Back to Back Each Participant is positioned back-to-back with a partner. They have to work out precisely what the ‘statement’ given to the other person is without looking around. Each person has a different brief. Debrief: - Asking Open Questions Active Listening Accuracy in identifying the objective.
Online Options
Show all 1069Introduction to DAX for Power BI
By Nexus Human
Duration 2 Days 12 CPD hours This course is intended for This course is intended for business users who have been using Power BI to build analytic solutions and are ready to take advantage of the power and flexibility that DAX provides. Learning DAX is a very common 'next step' for experienced Power BI users. Overview At course completion, you should be able to describe DAX syntax, data types, and errors use DAX to create calculated columns, measures, and tables explain how DAX calculations are evaluated, along with the differences between row context and filter context configure and use Time Intelligence to perform common time-based calculations, for example to-date calculations, year-over-year analysis, moving averages, etc. create calculated columns and measures that use data from multiple tables in the data model write measures that handle error conditions gracefully use DAX to enhance the Power BI user experience use DAX Studio to connect to a Power BI data model and execute simple queries Welcome to Introduction to DAX for Power BI. This two-day instructor-led course is intended for business users who have been using Power BI and want to use DAX to create custom calculations in their data models. In this class, you will be introduced to using Data Analysis Expressions (DAX), which is the expression language that is used to create custom calculations in the Power BI Data model. The course covers some of the theoretical underpinnings of the data model and the DAX language, but the emphasis is on using DAX to solve common business problems. You will learn how to write your own calculated columns, measures, and tables, how to visualize the way Power BI computes DAX calculations, and how to troubleshoot custom code. MODULE 1: GETTING STARTED WITH DAX INTRODUCTION TODAX CREATING OBJECTS WITHDAX CONTEXT AND RULES OF EVALUATION VARIABLES,COMMENTS,AND TESTING MODULE 2: PERFORMING BASIC CALCULATIONS GETTING STARTED IMPLICIT MEASURES ADDING QUICK MEASURES WORKING WITH DAX DATA TYPES . DOING BASIC MATH USING LOGIC IN YOUR CALCULATIONS USING THE IF() FUNCTION NESTED IF() USING THE SWITCH() FUNCTION ADVANCED SWITCH() LOGICAL OPERATORS & FUNCTIONS: ||, OR(), &&, AND(), NOT() AGGREGATING AND SUMMARIZING DATA THE SUM() FUNCTION MODULE 3: WORKING WITH CONTEXT IN THE DATA MODEL CONTEXT DEFINED DATA MODELING BASICS INTRODUCTION TO DIMENSIONAL MODELING RELATIONSHIPS AND THEIR EFFECT ON THE EVALUATION CONTEXT GETTING DATA FROM OTHER TABLES USING RELATED() AND RELATEDTABLE LOOKING UP DATA WITHOUT USING RELATIONSHIPS MODIFYING THE CONTEXT USING CALCULATE() MODULE 4: PERFORMING MORE ADVANCED CALCULATIONS THE DAX ITERATOR FUNCTIONS USING TABLE MANIPULATION FUNCTIONS MODULE 5: WORKING WITH TIME PERFORMING DATE CALCULATIONS WORKING WITH DATE TABLES GENERATING A DATE TABLE WITH THE CALENDAR() FUNCTION DEFINING CUSTOM OPERATING PERIODS YTD, QTD, AND MTD CALCULATIONS CUSTOM TO-DATE CALCULATIONS FINDING YEAR-OVER-YEAR CHANGE FINDING MOVING AVERAGES MODULE 6: ENHANCING THE USER EXPERIENCE CONTROLLING VISIBILITYOF YOUR MEASURES USING WHAT-IF PARAMETERS ADDING BANDING USING DAX TO PROVIDE ROW-LEVEL SECURITY
PL-300T00 Microsoft Power BI Data Analyst
By Nexus Human
Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst 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 PL-300T00: Microsoft Power BI Data Analyst 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 Real Estate Analyst course has been taught non-stop to global real estate firms over the last 25 years, and is without doubt the core financial modelling training in your career portfolio. Whether you have an upcoming financial modelling test for a new job or an APC exam, the Real Estate Analyst course is the choice for you.
Clinical Data Analysis with SAS
By Course Cloud
The comprehensive Clinical Data Analysis with SAS has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Clinical Data Analysis with SAS today, and learn from the very best the industry has to offer! This best selling Clinical Data Analysis with SAS has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Clinical Data Analysis with SAS is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Clinical Data Analysis with SAS is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Clinical Data Analysis with SAS is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Clinical Data Analysis with SAS , you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Clinical Data Analysis with SAS will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Clinical Data Analysis with SAS to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.
Unveil the power of data through our captivating Basic Data Analysis course, where curiosity meets capability. Embark on a journey of discovery, exploring the intricacies of data and information analysis. Dive deep into various data analysis methods and tools, from exploratory data analysis to qualitative data analysis. Let us ignite your passion for deciphering insights hidden within data. In this course, you'll master the fundamentals of data analysis, gaining invaluable skills applicable across diverse fields. Explore modules covering the principles of process management and strategies for driving improvement through data-driven insights. From understanding variation to presenting performance data effectively, each module equips you with practical knowledge essential for success in data analysis jobs. So, if you are looking for data analysis courses, you've landed on the right page. Learning Outcomes: Acquire proficiency in using data analysis tools such as Pareto charts, histograms, and control charts. Develop the ability to interpret performance data and identify patterns through exploratory data analysis. Gain a comprehensive understanding of variation and strategies to manage it effectively. Apply data-driven approaches to drive continuous improvement and enhance decision-making processes. Demonstrate proficiency in structuring performance measurement systems to optimize organizational outcomes. Why buy this Basic Data Analysis Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Basic Data Analysis there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Basic Data Analysis course for? Individuals eager to enter the field of data analysis. Professionals seeking to enhance their data analysis skills. Students interested in exploring the principles of process management. Anyone curious about leveraging data for informed decision-making. Individuals aiming to pursue data analysis jobs in various industries. Prerequisites This Basic Data Analysis does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Basic Data Analysis was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £40,000 Per Annum Business Analyst: £30,000 - £45,000 Per Annum Financial Analyst: £30,000 - £50,000 Per Annum Market Research Analyst: £25,000 - £35,000 Per Annum Operations Analyst: £25,000 - £40,000 Per Annum Quality Assurance Analyst: £25,000 - £35,000 Per Annum Course Curriculum Basic Data Analysis Module 01: Introduction 00:02:00 Module 02: Agenda and Principles of Process Management 00:06:00 Module 03: The Voice of the Process 00:05:00 Module 04: Working as One Team for Improvement 00:04:00 Module 05: Exercise: The Voice of the Customer 00:03:00 Module 06: Tools for Data Analysis 00:07:00 Module 07: The Pareto Chart 00:03:00 Module 08: The Histogram 00:03:00 Module 09: The Run Chart 00:04:00 Module 10: Exercise: Presenting Performance Data 00:05:00 Module 11: Understanding Variation 00:06:00 Module 12: The Control Chart 00:06:00 Module 13: Control Chart Example 00:04:00 Module 14: Control Chart Special Cases 00:06:00 Module 15: Interpreting the Control Chart 00:10:00 Module 16: Control Chart Exercise 00:07:00 Module 17: Strategies to Deal with Variation 00:06:00 Module 18: Using Data to Drive Improvement 00:14:00 Module 19: A Structure for Performance Measurement 00:06:00 Module 20: Data Analysis Exercise 00:06:00 Module 21: Course Project 00:03:00 Module 22: Test your Understanding 00:17:00 Assignment Assignment - Diploma in Data Analysis Fundamentals 00:00:00
