{"id":84598,"date":"2022-09-09T11:46:57","date_gmt":"2022-09-09T15:46:57","guid":{"rendered":"https:\/\/trainingindustry.com\/?post_type=magazine&#038;p=84598"},"modified":"2022-09-15T11:47:19","modified_gmt":"2022-09-15T15:47:19","slug":"4-steps-to-building-data-literacy-in-your-organization","status":"publish","type":"magazine","link":"https:\/\/trainingindustry.com\/magazine\/fall-2022\/4-steps-to-building-data-literacy-in-your-organization\/","title":{"rendered":"4 Steps to Building Data Literacy in Your Organization"},"author":34,"featured_media":45356,"template":"","tags":[30718,30720,30721,30722,30719],"class_list":["post-84598","magazine","type-magazine","status-publish","has-post-thumbnail","hentry","tag-building-data-literacy","tag-lds-role-in-building-data-literacy","tag-training-a-more-data-literate-workforce","tag-training-employees-in-data-literacy","tag-training-for-data-literacy","global_topic_tax-it-and-technical-training","magazine_issue_tax-fall-2022","magazine_article_type_tax-whats-next-in-tech"],"acf":{"sponsored":false,"gated":false,"gated_content_type":"","file_attachment":null,"gated_content":"","form_instruction_header":"To access the full article, please fill out the form below:","pardot_html_embed":"","author_override":true,"author_name":"Dr. Stella Lee","author_image":"","author_bio":"Dr. Stella Lee has over 20 years of experience in consulting, planning, designing, implementing and measuring learning initiatives. Her focus is on large-scale learning projects including LMS evaluation and implementation, learning analytics, and artificial intelligent applications. Email Stella.","excerpt":"Data literacy means more than the ability to analyze data. We need to be able to discover, identify, collect, process, interpret and communicate data. ","main_content":"Technology has fundamentally changed the way we deal with data in the learning and development (L&amp;D) profession. We have access to an amazing array of tools that allow us to gain more insights about how we learn, what content is most useful, where we need to allocate more resources and how learning can directly impact on-the-job performance. However, to take advantage of these tools and make use of the analytics, we need a data-literate workforce.\r\n\r\nData literacy means more than the ability to analyze data. We need to be able to discover, identify, collect, process, interpret and communicate data \u2014 essentially covering the entire data journey from creation to dissemination. Data literacy is often cited as a <a href=\"https:\/\/www.tableau.com\/about\/blog\/2018\/9\/data-literacy-critical-skill-21st-century-94221\" target=\"_blank\" rel=\"noopener\">critical skill for the 21st century<\/a>, but according to a study by Accenture, \u201c<a href=\"https:\/\/www.accenture.com\/_acnmedia\/PDF-115\/Accenture-Human-Impact-Data-Literacy-Latest.pdf\" target=\"_blank\" rel=\"noopener\">Just\u00a021 percent of the global workforce<\/a> are fully confident in their data literacy skills.\u201d\r\n\r\nData literacy is a skill that we needed yesterday. I propose the following four steps in building data literacy in your organization:\r\n<h2>Define Data Literacy<\/h2>\r\nData literacy encompasses a wide range of skills, including data ethics, policy, analysis, storytelling and visualization. Take time to explore where the organization is on the digital transformation journey, what its business functions and industry standards are and which data literacy skills are best suited (and to what levels based on job roles) to support the organization and respective departments.\r\n<h2>Get Executive Buy-in<\/h2>\r\nDecision-makers have the power to influence the culture and approve finances and resources, as well as embody behaviors by being data literate and valuing data-driven insights. To achieve executive buy-in, we must align the data literacy initiative to the shared goals and objectives of the organization and demonstrate the power of data with a small pilot program that is grounded on actual use cases.","full_width":false,"content_band":[{"acf_fc_layout":"social_callout","blockquote":"Data literacy is a skill that we needed yesterday."},{"acf_fc_layout":"content_area","wysiwyg":"<h2>Conduct a Readiness Assessment and Develop a Competency Framework<\/h2>\r\nAs not all staff have the same level of data literacy, it is useful to conduct a readiness assessment to gauge people\u2019s abilities, capacities, attitudes and experiences to establish a baseline. The readiness assessment will help identify, prioritize and measure the impact of your data literacy initiative. If you are unsure of how to go about creating a readiness assessment and what competency framework to use, I recommend <a href=\"https:\/\/www150.statcan.gc.ca\/n1\/pub\/11-633-x\/11-633-x2019003-eng.htm\" target=\"_blank\" rel=\"noopener\">this Statistics Canada study<\/a> \u2014 it provides a comprehensive overview on data literacy competency frameworks, as well as the assessment tools used to measure them.\r\n<h2>Scaffold and Customize the Learning<\/h2>\r\nOnce the skills gap is identified, we can create and scaffold customized learning paths that map to different department functions or job roles. An effective plan needs to be based on the balance between the learner\u2019s professional goals and the employer\u2019s needs. Therefore, we ought to take into consideration the learner\u2019s context and connect the learning to their day-to-day tasks. A learning path should be more than a course selection guide; it should address specific learning objectives that align with each person\u2019s or each department\u2019s performance objectives. When possible, co-design the learning paths with your learners to help them take ownership of their learning and make assessment relevant to their work.\r\n\r\nDeveloping organizational data literacy requires a good understanding of organizational context, thoughtful instructional design, regular assessment and a flexible and personalized approach. While achieving the desired level of data literacy takes time, it is a journey worth taking to harness the power of data to build a data-informed decision-making culture."}],"tice_sponsors":"","custom_dfp_keywords":"","featured_article":false,"feature_type":"","theme":"","remove_gradient":false,"title_in_image":false,"featured_text_image":null,"magazine_link":"https:\/\/www.nxtbook.com\/nxtbooks\/trainingindustry\/tiq_fall2022\/index.php#\/p\/10"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.8 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>4 Steps to Building Data Literacy in Your Organization<\/title>\n<meta name=\"description\" content=\"Data literacy means more than analyzing data. 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