"*" indicates required fields 1Details2Knowledge3Skills4Behaviours5Qualifications, Prior Learning & Experience Welcome to the Corndel Data-Driven Leader Level 3 Skills Radar. This skills radar is a self assessment tool that is used to confirm your eligibility for this apprenticeship, and to help us to understand your current level of knowledge, skills and behaviours against those of this programme. If you hold qualifications, or have prior learning or experience related to this programme we will contact you to discuss this further, as you may not be eligible for government funding. Unique IDHiddenDate of completion DD slash MM slash YYYY Your detailsName* First Last Aptem email address* Enter Email Confirm Email Employer* Job title* Your data will be processed by Corndel in accordance with their Privacy Policy.Privacy policy* Please tick here to confirm your consent* The statements below cover the knowledge that you will learn and develop on this programme. Using the 1-10 guidance below, please assess your current level of knowledge and experience in relation to the level of this programme. 1-2: I have no prior learning or experience and cannot demonstrate this. 3-4: I have some prior learning or experience and demonstrate this inconsistently. 5-6: I have moderate prior learning or experience and demonstrate this occasionally. 7-8: I have good, or very good prior learning or experience and demonstrate this often. 9: I have extensive prior learning or experience and demonstrate this to an exemplary standard. 10: I am an expert and have nothing further to learn. Knowledge - Part 1:*12345678910Data architecture - the framework against which data is stored and structured including on-premises and cloud.Different types of existing data. Common sources of data - internal, external, open data sets, public and private.Data formats and their importance for analysis and visualisation and leadership tools to visualise and review the characteristics of data. Communication tools and technologies for collaborative working in a leadership role.How to collate and format data in line with industry standards while leading a team.How to access and extract data from a range of already identified sources while overseeing the process.How to filter details, focusing on information relevant to the data project, and provide guidance to the team.The range of common data quality issues that can arise, e.g. misclassification, duplicate entries, spelling errors, obsolete data, compliance issues, and interpretation/translation of meaning.Different methods of validating data and the importance of taking corrective action as a leader.Basic statistical methods and simple data modelling to extract relevant data and normalise unstructured data.Algorithms, and how they work using a step-by-step solution to a problem, or rules to follow to solve the problem, and the potential to use automation while leading a team.Knowledge - Part 2:*12345678910Legal and regulatory requirements, e.g. Data Protection, Data Security, Intellectual Property Rights (IPR), Data sharing, marketing consent, personal data definition, and the ethical use of data in a leadership role.The role of data in the context of the digital world including the use of external trusted open data sets, how data underpins every digital interaction and connectedness across the digital landscape including applications, devices, IoT, customer centricity.The value of data to the business and how to undertake blending of data from multiple sources.Different learning techniques and the breadth and sources of knowledge, while guiding others in their learning process.Range of roles within an organisation, including: customer, manager, client, peer, technical, and non-technical, and the ability to collaborate effectively with individuals in each role as a leader.Communicating the results through basic narrative and providing clear guidance to the team on effective communication methods.Communication methods, formats, and techniques, including: written, verbal, non-verbal, presentation, email, conversation, audience, and active listening in a leadership context.The significance of customer issues, problems, business value, brand awareness, cultural awareness/ diversity, accessibility, internal/external audience, level of technical knowledge, and profile in a business context, and guiding the team accordingly. The statements below cover the skills that you will learn and develop on this programme. Using the 1-10 guidance below, please assess your current level of skills and experience in relation to the level of this programme. 1-2: I have no prior learning or experience and cannot demonstrate this. 3-4: I have some prior learning or experience and demonstrate this inconsistently. 5-6: I have moderate prior learning or experience and demonstrate this occasionally. 7-8: I have good, or very good prior learning or experience and demonstrate this often. 9: I have extensive prior learning or experience and demonstrate this to an exemplary standard. 10: I am an expert and have nothing further to learn. Skills - Part 1:*12345678910Store, manage and distribute data in compliance with data security standards and legislation, while ensuring the team follows the protocols.Source and migrate data from already identified different sources, and delegate responsibilities to team members accordingly.Collect, format and save datasets, and oversee the process to ensure accuracy and adherence to standards.Blend datasets from multiple sources and present them in a format appropriate to the task, while overseeing the blending process.Manipulate and link different datasets as required, and provide guidance to the team on data manipulation techniques.Use tools and techniques to identify trends and patterns in data, and lead the team in utilising such tools effectively.Apply basic statistical methods and algorithms to identify trends and patterns in data, and guide the team in applying these methods.Apply cross-checking techniques for identifying faults and data results for data project requirements, while overseeing the cross-checking process.Clean data i.e. remove duplicates, typos, duplicate entries, out-of-date data, parse data (e.g. format telephonenumbers according to a national standard) and test and assess confidence in the data and its integrity, providing guidance to the team.Audit data results and ensure the accuracy and quality of the results.Prioritise within the context of a project, and provide direction to the team on task prioritisation.Skills - Part 2:*12345678910Summarise and explain gathered data, and guide the team in presenting data summaries effectively.Demonstrate different ways of communicating meaning from data in line with audience requirements, and provide leadership in effective data communication strategies.Explain data and results to different audiences in a way that aids understanding, and guide the team in effective communication techniques.Produce clear and consistent technical documentation using standard organisational templates, while overseeing the documentation process.Keep up to date with developments in technologies, trends, and innovation using a range of sources, and encourage the team to stay informed and adaptable.Review own development needs as a leader and identify areas for improvement.Operate as part of a multi-functional team and foster collaboration among team members. The statements below cover the behaviours that you will learn and develop on this programme. Using the 1-10 guidance below, please assess your current level against the behaviours, in relation to the level of this programme. 1-2: I have no prior learning or experience and cannot demonstrate this. 3-4: I have some prior learning or experience and demonstrate this inconsistently. 5-6: I have moderate prior learning or experience and demonstrate this occasionally. 7-8: I have good, or very good prior learning or experience and demonstrate this often. 9: I have extensive prior learning or experience and demonstrate this to an exemplary standard. 10: I am an expert and have nothing further to learn. Behaviours:*12345678910Manage own time to meet deadlines and manage stakeholder expectations, while ensuring the team follows project timelines.Work independently and take responsibility for decision-making and problem-solving.Use own initiative to identify opportunities for improvement and innovation within the data management process.Maintain a thorough and organised approach to data management and guide the team in maintaining organisation.Work with a range of internal and external customers and build strong relationships.Value difference and be sensitive to the needs of others, fostering inclusivity and diversity within the team and organisation. Have you previously achieved a qualification equivalent to a level 3 (e.g. advanced apprenticeship) or above?* Yes No Please list all relevant qualifications*Click on the (+) to add further qualificationsTitleLevel Add RemoveOther work experience Tick here if you have any other work experience that may be relevant to this apprenticeship that could affect your eligibility. Please provide details:* SignatureHiddenDate DD slash MM slash YYYY
