{"id":28477,"date":"2022-02-15T06:00:00","date_gmt":"2022-02-15T14:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=28477"},"modified":"2022-02-16T08:55:13","modified_gmt":"2022-02-16T16:55:13","slug":"key-trends-in-2022-for-organizations-to-improve-data-literacy","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/","title":{"rendered":"Key Trends in 2022 for Organizations to Improve Data Literacy"},"content":{"rendered":"\n

Sponsored Post<\/em><\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

Intriguing data questions are inherently interdisciplinary. As business leaders look to data-driven decision-making in 2022 and beyond, they must continue to make strides organization-wide in data literacy, or even simply make more individuals comfortable with data. Ultimately, decision-makers need to interpret and use data in a meaningful way to drive the business forward.<\/p>\n\n\n\n

In the remote-first world we\u2019ve lived in over the past several years, it\u2019s becoming exceptionally clear that no organization can operate successfully with internal siloes. Leveraging business data is no exception. In a recent episode of The Data Wranglers podcast<\/a>, Jeffrey Heer, Joe Hellerstein, and I sat down with DJ Patil. Patil is arguably one of the most influential data scientists in the world, including his credentials as the U.S.\u2019s first Chief Data Scientist under former President Barack Obama.<\/p>\n\n\n\n

Patil highlighted some of the ways organizations use data. Simple questions data can answer  may be, \u201cWho are our best customers?\u201d But how are you measuring this? Is it who buys the most? Who pays their bill on time? Who costs the least to support? Or is it who is most influential on the product roadmap?<\/p>\n\n\n\n

This example is one microcosm of business, just one tiny sample, and yet all of that data is stored in different places, with different people accessing and analyzing the information. Data professionals need to access that diversity of information in cross disciplinary, cross-functional ways to unlock compelling insights.<\/p>\n\n\n\n

How do you do that? Democratizing data.<\/strong><\/p>\n\n\n\n

Data is arguably the most powerful tool businesses have at their disposal. Imagine if another company-wide, powerful business tool was only accessible by a small handful of people with a stack of other priorities. By democratizing data, business users and data engineers can work side by side in the same environment to solve problems together utilizing both of their respective expertise.<\/p>\n\n\n\n

Democratizing data isn\u2019t just turning a business analyst loose on raw data. It\u2019s making it so that each business skill set, from coding to analyzing, can contribute to uncovering data insights in a meaningful way. It combines low-code and no-code solutions alongside options that allow coders to dive deeper.<\/p>\n\n\n\n

Once an organization is unlocking data insights at scale, in a repeatable manner with multiple interdisciplinary contributors, that\u2019s an organization that is data literate.<\/p>\n\n\n\n

In an organization leveraging data to this degree, the natural next step is to determine what else to accomplish with it. For so many organizations considering their 2022 goals and beyond, the key is in machine learning and artificial intelligence to automate processes and enable faster operations.<\/p>\n\n\n\n

It\u2019s non-negotiable: effective and accurate AI requires pristine data quality. Otherwise, if AI is automating decisions based on bad data, it\u2019s just making bad decisions faster.<\/p>\n\n\n\n

This leads to the second key trend of 2022: data quality.<\/strong><\/p>\n\n\n\n

Heard that trend before? Data preparation still comprises the bulk of data work for organizations. Clean, well-prepared data is the cost of entry to a world of effective data use. Downstream processes, including AI and analytics, are worthless if data quality is bad.<\/p>\n\n\n\n

In 2022, businesses looking to utilize data better should consider automated ways to fix, monitor, and remediate data quality. It is no longer a situation where developing simple static rules can handle data quality, but rather organizations need the data sets to suggest their own data quality checks. This enables automating those checks and monitoring adherence to those checks over time as data pipelines grow.<\/p>\n\n\n\n

Keeping \u201chuman in the loop\u201d is important because context is important. Still, data quality cannot be a situation where the human must define and monitor all things upfront. Datasets are more diverse than ever before, and there are more of these data sets than ever before, so scalable use requires some degree of intelligence and automation.<\/p>\n\n\n\n

It\u2019s an interesting flip of the script: rather than AI\/ML coming from<\/em> the data, apply AI\/ML to <\/em>the data to improve and monitor its data quality.<\/p>\n\n\n\n

With strong data quality in a data literate organization, the sky\u2019s the limit for what businesses can achieve in 2022.<\/p>\n\n\n\n

Ready to get started? Check out trifacta.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

In this sponsored post, our friends over at Trifacta suggest that intriguing data questions are inherently interdisciplinary. As business leaders look to data-driven decision-making in 2022 and beyond, they must continue to make strides organization-wide in data literacy, or even simply make more individuals comfortable with data. Ultimately, decision-makers need to interpret and use data in a meaningful way to drive the business forward.<\/p>\n","protected":false},"author":10513,"featured_media":28483,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[115,63,64,182,87,180,56,311,1],"tags":[280,698,562,1102,95],"acf":[],"yoast_head":"\nKey Trends in 2022 for Organizations to Improve Data Literacy - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Key Trends in 2022 for Organizations to Improve Data Literacy - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"In this sponsored post, our friends over at Trifacta suggest that intriguing data questions are inherently interdisciplinary. As business leaders look to data-driven decision-making in 2022 and beyond, they must continue to make strides organization-wide in data literacy, or even simply make more individuals comfortable with data. Ultimately, decision-makers need to interpret and use data in a meaningful way to drive the business forward.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2022-02-15T14:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-02-16T16:55:13+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/02\/Data_literacy_shutterstock_2093549281.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"300\" \/>\n\t<meta property=\"og:image:height\" content=\"300\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Editorial Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Editorial Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/\",\"url\":\"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/\",\"name\":\"Key Trends in 2022 for Organizations to Improve Data Literacy - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2022-02-15T14:00:00+00:00\",\"dateModified\":\"2022-02-16T16:55:13+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Key Trends in 2022 for Organizations to Improve Data Literacy\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning & Machine Learning Strategies\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/insidebigdata.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\",\"name\":\"Editorial Team\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"caption\":\"Editorial Team\"},\"sameAs\":[\"http:\/\/www.insidebigdata.com\"],\"url\":\"https:\/\/insidebigdata.com\/author\/editorial\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Key Trends in 2022 for Organizations to Improve Data Literacy - insideBIGDATA","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/","og_locale":"en_US","og_type":"article","og_title":"Key Trends in 2022 for Organizations to Improve Data Literacy - insideBIGDATA","og_description":"In this sponsored post, our friends over at Trifacta suggest that intriguing data questions are inherently interdisciplinary. As business leaders look to data-driven decision-making in 2022 and beyond, they must continue to make strides organization-wide in data literacy, or even simply make more individuals comfortable with data. Ultimately, decision-makers need to interpret and use data in a meaningful way to drive the business forward.","og_url":"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/","og_site_name":"insideBIGDATA","article_publisher":"http:\/\/www.facebook.com\/insidebigdata","article_published_time":"2022-02-15T14:00:00+00:00","article_modified_time":"2022-02-16T16:55:13+00:00","og_image":[{"width":300,"height":300,"url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/02\/Data_literacy_shutterstock_2093549281.jpg","type":"image\/jpeg"}],"author":"Editorial Team","twitter_card":"summary_large_image","twitter_creator":"@insideBigData","twitter_site":"@insideBigData","twitter_misc":{"Written by":"Editorial Team","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/","url":"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/","name":"Key Trends in 2022 for Organizations to Improve Data Literacy - insideBIGDATA","isPartOf":{"@id":"https:\/\/insidebigdata.com\/#website"},"datePublished":"2022-02-15T14:00:00+00:00","dateModified":"2022-02-16T16:55:13+00:00","author":{"@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9"},"breadcrumb":{"@id":"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/insidebigdata.com\/2022\/02\/15\/key-trends-in-2022-for-organizations-to-improve-data-literacy\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/insidebigdata.com\/"},{"@type":"ListItem","position":2,"name":"Key Trends in 2022 for Organizations to Improve Data Literacy"}]},{"@type":"WebSite","@id":"https:\/\/insidebigdata.com\/#website","url":"https:\/\/insidebigdata.com\/","name":"insideBIGDATA","description":"Your Source for AI, Data Science, Deep Learning & Machine Learning Strategies","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/insidebigdata.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9","name":"Editorial Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","caption":"Editorial Team"},"sameAs":["http:\/\/www.insidebigdata.com"],"url":"https:\/\/insidebigdata.com\/author\/editorial\/"}]}},"jetpack_featured_media_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/02\/Data_literacy_shutterstock_2093549281.jpg","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-7pj","jetpack-related-posts":[{"id":28329,"url":"https:\/\/insidebigdata.com\/2022\/01\/31\/best-practices-in-data-engineering-brush-up-your-skills-and-tidy-your-data-with-diy-data\/","url_meta":{"origin":28477,"position":0},"title":"Best Practices in Data Engineering: Brush Up Your Skills and Tidy Your Data with DIY Data","date":"January 31, 2022","format":false,"excerpt":"[SPONSORED POST] Trifacta introduces \u201cDIY Data\u201d \u2013 a unique webcast series that presents practical aspects of data engineering through hands-on demonstrations.\u00a0 The series is all about being hands-on with Trifacta through 30-min byte size live and interactive episodes.","rel":"","context":"In "Big Data"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":28748,"url":"https:\/\/insidebigdata.com\/2022\/03\/21\/the-powerful-combination-of-cloud-data-engineering-and-analytics-automation\/","url_meta":{"origin":28477,"position":1},"title":"The Powerful Combination of Cloud Data Engineering and Analytics Automation","date":"March 21, 2022","format":false,"excerpt":"In this sponsored post, our friends over at Trifacta discuss how unlocking the value from data \u2013 whether it is in the cloud or on premises \u2013 remains out of reach to many. According to an Alteryx-commissioned survey by YouGov, only 12% of workers reported having the benefit of driving\u2026","rel":"","context":"In "Analytics"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":29074,"url":"https:\/\/insidebigdata.com\/2022\/04\/20\/synthetic-behavioral-data-for-analytics\/","url_meta":{"origin":28477,"position":2},"title":"Synthetic Behavioral Data for Analytics","date":"April 20, 2022","format":false,"excerpt":"In this compelling white paper, \"Synthetic Behavioral Data for Analytics,\" MOSTLY AI makes the case for Synthetic Behavioral Data. MOSTLY AI is the leading synthetic data company globally. Its platform enables enterprises across industries to unlock, share, fix and simulate data.","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2022\/04\/Mostly-AI-Synthetic-Behavioral-data-Cover-image.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":12775,"url":"https:\/\/insidebigdata.com\/2015\/02\/20\/trifacta-launches-exclusive-free-trial\/","url_meta":{"origin":28477,"position":3},"title":"Trifacta Launches Exclusive Free Trial","date":"February 20, 2015","format":false,"excerpt":"Trifacta, a leading Data Transformation Platform provider, announced the launch of the Trifacta Trial Program. With this free trial, data analysts, data engineers and data scientists can now experience Trifacta first-hand to more efficiently discover, structure, cleanse, enrich and distill big data stored in Hadoop.","rel":"","context":"In "Big Data"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":22634,"url":"https:\/\/insidebigdata.com\/2019\/05\/15\/data-literacy-making-society-fluent-in-data\/","url_meta":{"origin":28477,"position":4},"title":"Data Literacy: Making Society Fluent in Data","date":"May 15, 2019","format":false,"excerpt":"In the age of big data, data science, and AI, there is a broad ranged need for global data literacy. The time is near when national economies will be data-driven. Fortunately, a recent unveiling describes a timely resource to address this need. Qlik and The Data Literacy Project announced that\u2026","rel":"","context":"In "Analytics"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2019\/03\/big-data-visualization_SHUTTERSTOCK.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":21281,"url":"https:\/\/insidebigdata.com\/2018\/10\/15\/new-research-uncovers-500-million-enterprise-value-opportunity-data-literacy\/","url_meta":{"origin":28477,"position":5},"title":"New Research Uncovers $500 Million Enterprise Value Opportunity with Data Literacy","date":"October 15, 2018","format":false,"excerpt":"According to a major academic study commissioned by Qlik\u00ae, on behalf of the newly launched Data Literacy Project, large enterprises that have higher corporate data literacy experience $320-$534 million in higher enterprise value (the total market value of the business). Corporate data literacy is the ability of a company workforce\u2026","rel":"","context":"In "Featured"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/28477"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/10513"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=28477"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/28477\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/28483"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=28477"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=28477"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=28477"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}