{"id":22736,"date":"2019-06-03T08:30:18","date_gmt":"2019-06-03T15:30:18","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=22736"},"modified":"2019-06-04T08:34:52","modified_gmt":"2019-06-04T15:34:52","slug":"questions-on-cdos-and-caos-getting-harder-as-the-game-evolves","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2019\/06\/03\/questions-on-cdos-and-caos-getting-harder-as-the-game-evolves\/","title":{"rendered":"Questions on CDOs and CAOs: Getting harder as the Game Evolves"},"content":{"rendered":"\n<p>Watching this year\u2019s basketball playoffs\nhas been rough. While most enjoy watching the games, I\u2019m getting grilled with\nquestions from my eight-year-old who wants to know everything about everything.\nQuestions like: \u201cwhy do some players take one foul shot and others take two?\u201d And,\n\u201cWhy don\u2019t some players play four years in college?\u201d As basketball evolves to\naccommodate new rules, explaining the game to newcomers keeps getting harder.<\/p>\n\n\n\n<p>The same is true in data and\nanalytics. Consider the complexities and related questions that arise around the\never-evolving data landscape, such as:<\/p>\n\n\n\n<ul><li><strong>Data lakes:<\/strong> Should we use them, or not?<\/li><li><strong>Streaming data and IOT:<\/strong> How do they fit with our current data and analytics solutions, skill sets, etc.?<\/li><li><strong>Containers, blockchain and unstructured data:<\/strong> It&#8217;s everywhere. How do we adapt to all the new techniques and data sources?<\/li><li><strong>Artificial intelligence:<\/strong> The pressure is high to be up and running with AI on all fronts \u2026 and by yesterday.<\/li><\/ul>\n\n\n\n<p>This environment is leaving executives\nwith more questions than answers. Chief among those is how to capture and\nmanage all the data that&#8217;s now available \u2013 from more sources than ever \u2013 and\nmeet the goals of increased revenue and operational efficiency. For many\ncompanies, this is where the roles of chief data officers (CDOs) and chief analytics officers (CAOs) come into play. These roles\ncreate order out of complexity.<\/p>\n\n\n\n<p>In past years, discussions about CDOs and CAOs related to topics like who they should report to or what their ideal qualifications should be. And in 2019, CDOs and CAOs are going from concept to reality. In fact, according to a <a href=\"https:\/\/www.gartner.com\/smarterwithgartner\/3-top-take-aways-from-the-gartner-chief-data-officer-survey\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Gartner CDO survey<\/a>, &nbsp;\u201cIt\u2019s not difficult to see how, by 2021, the office of the CDO will be a mission-critical function comparable to IT, business operations, HR and finance in 75% of large enterprises.\u201d&nbsp;<\/p>\n\n\n\n<p>As with any new and influential role, there is a\nfeeling-out period in which the individual sits and listens and asks questions.\nCDOs and CAOs are no different.<\/p>\n\n\n\n<p>Conversations on these roles center mainly around how to\nblend data management, model management, and analytics, with most wanting to\nlearn how other organizations have been successful with these practices.<\/p>\n\n\n\n<p>To give some perspective on what is\nbeing asked, consider that CDOs and CAOs are at different phases in their role.\nMany are still in the \u201csit and listen stage,\u201d while others are farther along\nand are engaging with software vendors about how specific technologies could\nhelp them increase revenue and operational efficiency. Broken down by maturity\nlevel, here are some of common questions organizations are asking:<\/p>\n\n\n\n<p>For\ncompanies shifting their operations from storing data to using data:<\/p>\n\n\n\n<ul><li>Is my organization using data assets to their fullest potential?<\/li><li>How do I influence the reach and scale of my impact across the organization to replicate our successes?<\/li><li>How do I maximize the value and impact of data across my organization? We have agreement on the need to change, but how?<\/li><\/ul>\n\n\n\n<p>For companies that agree about the need for change, but aren&#8217;t sure how to do it:<\/p>\n\n\n\n<ul><li>How can I make sure every department gets engaged in the data and analytics program we want to establish?<\/li><li>How can I make sure we take full advantage of the data we have but don&#8217;t fall victim to privacy regulations?<\/li><li>How can I make sure we have the IT infrastructure in place to become a data-driven company?<\/li><li>How do I develop the data and analytics culture my company needs?<\/li><\/ul>\n\n\n\n<p>For\ncompanies investing in new technology, but are not clear what all their\nconsiderations should be:<\/p>\n\n\n\n<ul><li>Do we have the skill level and talent to use the data management software?<\/li><li>Will the software vendor be able to work with our current data and architecture?<\/li><li>Will the vendor be able to offer data management and analytics on the same platform, so we can meet our top organizational goals without having to partner with numerous vendors?<\/li><li>Can this partner grow with me over the next 5 to 10 years?<\/li><li>Does this partner have demonstrated expertise in delivering value at similar businesses?<\/li><\/ul>\n\n\n\n<p>These questions range from broad to very pointed\nbut serve as an important guide to understanding what can be achieved with a\nCDO or CAO. And while there may not be a guide to help teach my eight-year-old\nthe latest enhancements to college basketball, it\u2019s important for organizations\nlooking to onboard a CDO and\/or CAO to first identify what they\u2019re looking to\naccomplish\u2014both from a revenue and operational standpoint\u2014and then understand\nhow to get them going with managing their data, analytics and governance projects.\nOnly then will organizations become truly data-driven.<\/p>\n\n\n\n<p><strong>About the Author<\/strong><\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignleft is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2018\/02\/Todd-Wright.jpg\" alt=\"\" class=\"wp-image-19882\" width=\"137\" height=\"95\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2018\/02\/Todd-Wright.jpg 200w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2018\/02\/Todd-Wright-150x104.jpg 150w\" sizes=\"(max-width: 137px) 100vw, 137px\" \/><\/figure><\/div>\n\n\n\n<p><em>Todd Wright is the global lead for GDPR solutions at <a rel=\"noreferrer noopener\" aria-label=\"SAS (opens in a new tab)\" href=\"http:\/\/www.sas.com\/\" target=\"_blank\">SAS<\/a>. He has 15 years of experience in data management software, including sales and marketing positions at DataFlux and SAS.<\/em><\/p>\n\n\n\n<p><em>Sign up for the free insideBIGDATA&nbsp;<a rel=\"noreferrer noopener\" href=\"http:\/\/insidebigdata.com\/newsletter\/\" target=\"_blank\">newsletter<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this contributed article, Todd Wright, Global Lead for GDPR Solutions at SAS, considers the complexities and related questions that arise around the ever-evolving data landscape. <\/p>\n","protected":false},"author":37,"featured_media":22738,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[65,115,87,180,56,97,1],"tags":[755,660,756,95],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Questions on CDOs and CAOs: Getting harder as the Game Evolves - 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\/2019\/06\/03\/questions-on-cdos-and-caos-getting-harder-as-the-game-evolves\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Questions on CDOs and CAOs: Getting harder as the Game Evolves - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"In this contributed article, Todd Wright, Global Lead for GDPR Solutions at SAS, considers the complexities and related questions that arise around the ever-evolving data landscape.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2019\/06\/03\/questions-on-cdos-and-caos-getting-harder-as-the-game-evolves\/\" \/>\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=\"2019-06-03T15:30:18+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2019-06-04T15:34:52+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/05\/Sports_data_SHUTTERSTOCK.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"250\" \/>\n\t<meta property=\"og:image:height\" content=\"150\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Daniel Gutierrez\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@AMULETAnalytics\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel Gutierrez\" \/>\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\/2019\/06\/03\/questions-on-cdos-and-caos-getting-harder-as-the-game-evolves\/\",\"url\":\"https:\/\/insidebigdata.com\/2019\/06\/03\/questions-on-cdos-and-caos-getting-harder-as-the-game-evolves\/\",\"name\":\"Questions on CDOs and CAOs: Getting harder as the Game Evolves - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2019-06-03T15:30:18+00:00\",\"dateModified\":\"2019-06-04T15:34:52+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2019\/06\/03\/questions-on-cdos-and-caos-getting-harder-as-the-game-evolves\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2019\/06\/03\/questions-on-cdos-and-caos-getting-harder-as-the-game-evolves\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2019\/06\/03\/questions-on-cdos-and-caos-getting-harder-as-the-game-evolves\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Questions on CDOs and CAOs: Getting harder as the Game Evolves\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning &amp; 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Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \\\"data scientist\\\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. 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Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \"data scientist\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. Follow his data science musings at @AMULETAnalytics.","sameAs":["http:\/\/www.insidebigdata.com","https:\/\/twitter.com\/@AMULETAnalytics"],"url":"https:\/\/insidebigdata.com\/author\/dangutierrez\/"}]}},"jetpack_featured_media_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/05\/Sports_data_SHUTTERSTOCK.jpg","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-5UI","jetpack-related-posts":[{"id":20991,"url":"https:\/\/insidebigdata.com\/2018\/09\/11\/benefits-commercial-open-analytics\/","url_meta":{"origin":22736,"position":0},"title":"Combining the Benefits of Commercial &#038; Open Analytics","date":"September 11, 2018","format":false,"excerpt":"A new e-book explores how organizations in many industries are using open source analytics and SAS, getting the most from both, and what role SAS plays throughout the analytics life cycle.","rel":"","context":"In &quot;Analytics&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2018\/08\/SASOutintheOpenWPCover2018-08-22_12-39-08.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":8024,"url":"https:\/\/insidebigdata.com\/2014\/03\/13\/interview-intels-chris-boyd-talks-predictive-analytics-march-madness\/","url_meta":{"origin":22736,"position":1},"title":"Intel&#8217;s Boyd Davis Talks Predictive Analytics and March Madness","date":"March 13, 2014","format":false,"excerpt":"\"Intel\u2019s goal is to encourage more innovative and creative uses for data as well as to demonstrate how big data and analytics technologies are impacting many facets of our daily lives, including sports. 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