{"id":1590,"date":"2018-11-27T15:25:41","date_gmt":"2018-11-27T20:25:41","guid":{"rendered":"https:\/\/solutionsreview.com\/data-management\/?p=1590"},"modified":"2018-11-27T16:21:00","modified_gmt":"2018-11-27T21:21:00","slug":"four-data-management-challenges-and-opportunities-for-2019","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/data-management\/four-data-management-challenges-and-opportunities-for-2019\/","title":{"rendered":"Four Data Management Challenges and Opportunities for 2019"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1592\" src=\"https:\/\/solutionsreview.com\/data-management\/files\/2018\/11\/oie_f2tZlEAXLOQg.jpg\" alt=\"The Challenges and Opportunities of Data Management in 2019\" width=\"800\" height=\"399\" srcset=\"https:\/\/solutionsreview.com\/data-management\/files\/2018\/11\/oie_f2tZlEAXLOQg.jpg 800w, https:\/\/solutionsreview.com\/data-management\/files\/2018\/11\/oie_f2tZlEAXLOQg-300x150.jpg 300w, https:\/\/solutionsreview.com\/data-management\/files\/2018\/11\/oie_f2tZlEAXLOQg-768x383.jpg 768w, https:\/\/solutionsreview.com\/data-management\/files\/2018\/11\/oie_f2tZlEAXLOQg-600x300.jpg 600w, https:\/\/solutionsreview.com\/data-management\/files\/2018\/11\/oie_f2tZlEAXLOQg-162x81.jpg 162w, https:\/\/solutionsreview.com\/data-management\/files\/2018\/11\/oie_f2tZlEAXLOQg-361x180.jpg 361w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p style=\"text-align: justify\"><em><strong>By Ron Agresta<\/strong><\/em><\/p>\n<p style=\"text-align: justify\">2018 was a landmark year for data management \u2013 the EU\u2019s <a href=\"https:\/\/solutionsreview.com\/data-management\/5-things-you-need-to-know-about-gdpr-right-now\/\" target=\"_blank\" rel=\"noopener\">General Data Protection Regulation (GDPR)<\/a> went into effect, California proposed the most comprehensive piece of US privacy legislation with the <a href=\"https:\/\/www.forbes.com\/sites\/forbestechcouncil\/2018\/08\/20\/how-will-californias-consumer-privacy-law-impact-the-data-privacy-landscape\/\" target=\"_blank\" rel=\"noopener\">California Consumer Privacy Act<\/a>, and consumers were historically vocal about the need for organizations to better protect and use their data. It\u2019s safe to say that data management \u2013 particularly as it relates to data privacy \u2013 has become more than just a <a href=\"https:\/\/solutionsreview.com\/identity-management\/numbers-gdpr-data-management\/\" target=\"_blank\" rel=\"noopener\">top priority for enterprises<\/a>. It has become a business-critical initiative.<\/p>\n<p style=\"text-align: justify\">Despite how much the data management landscape has evolved in 2018, I\u2019m predicting that 2019 will be even more transformative for four reasons:<\/p>\n<p style=\"text-align: justify\"><div class=\"widget\"><div class=\"aside-card\">\t\t\t<div class=\"textwidget\"><a class=\"speedbump\" href=\"https:\/\/solutionsreview.com\/data-management\/data-management-data-warehouse-buyers-guide\/\" title=\"Download link to Data Management Buyers Guide\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-1682\" src=\"https:\/\/solutionsreview.com\/data-management\/files\/2019\/01\/data-management-speedbump-cta.jpg\" alt=\"Download Link to Data Management Buyers Guide\" width=\"800\" height=\"225\" \/><\/a><\/div>\n\t\t<\/div><\/div><\/p>\n<p style=\"text-align: justify\"><strong>Data protection and data transparency will go hand-in-hand<\/strong><\/p>\n<p style=\"text-align: justify\">Driven by strong demands from consumers, enterprises will have to accommodate the need for increased and improved data protection across platforms, social media channels, cloud applications and more, while also meeting the increased calls for transparency regarding how data is collected, aggregated and shared. To accomplish these goals in tandem, enterprises will need to adopt enhanced technology solutions that can better protect data, and deliver detailed reports to organizations and their customers about data usage.<\/p>\n<p style=\"text-align: justify\"><strong>Automation, machine learning and AI will abound <\/strong><\/p>\n<p style=\"text-align: justify\">More organizations will attempt to use AI and machine learning (ML) techniques to improve data quality and data management processes. Similarly, more companies will look to automation (often supplemented by AI and ML technologies) to help scale data management processes without adding substantially more staff. By using advanced analytics paired with automation, organizations will start to ease the burden on overworked data engineers and data stewards. However, all the issues of automation, ML and AI won\u2019t be solved in 2019. I predict that more organizations will evolve their application of these technologies beyond their current infancy, including deciding whether and where technologies like natural language processing fit into broader enterprise data management and analytics projects, but many will struggle to see meaningful results.<\/p>\n<p style=\"text-align: justify\"><strong>Organizations will have to play data defense and offense<\/strong><\/p>\n<p style=\"text-align: justify\">Governance is a growing challenge for organizations as more data moves from on-premises to cloud locations, and as regulations \u2013 particularly regarding the use of personal data \u2013 become more pervasive. This extra scrutiny on data collection and usage has put businesses on defense. Many companies rely almost exclusively on monetizing data relinquished by users, but regulatory attention is increasing in this area. Organizations should be prepared for more laws centered on consumer data protection, with the associated changes to technology needed to cope not far behind. This means it will be critical for organizations to find the correct balance of \u201coffensive\u201d (being agile and exploratory with data and technology) and \u201cdefensive\u201d (governance and control of data) approaches to solving data-centric problems.<\/p>\n<p style=\"text-align: justify\"><strong>Data management + advanced analytics = unlocking big data insight<\/strong><\/p>\n<p style=\"text-align: justify\">It has been said that all data is now big data. Companies are increasingly looking at variations of data lake concepts that combine Hadoop Distributed File System infrastructure, event stream processing, relational and non-relational data stores, and other technologies. But making all these work in a performant and auditable fashion can be challenging.<\/p>\n<p style=\"text-align: justify\">Further, it\u2019s not necessarily data volume in and of itself that poses the biggest challenges. Inexpensive technology to process billions of transactions is commonplace but extracting value and insights from that data (good or bad) can be difficult. Advanced analytics paired with good data management technology can help detect threats and uncover untapped opportunities. In 2019, I predict we will see the use of even more advanced analytic capabilities to solve complex problems that in years past might have taken large teams and years of research.<\/p>\n<p style=\"text-align: justify\">Over the past year, one common theme has become clear in data management \u2013 that data is the new energy source that makes modern businesses run. In order to provide the most value, and really help organizations run as efficiently as possible, 2019 will be the year that enterprises will start to iron out the kinks in how they protect data, meet customer demands, and reap meaningful benefits from emerging technologies.<\/p>\n<p style=\"text-align: justify\"><div class=\"hr hr\"><\/div><\/p>\n<p style=\"text-align: justify\"><em><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1591 alignleft\" src=\"https:\/\/solutionsreview.com\/data-management\/files\/2018\/11\/oie_272162uj4n9opM.jpg\" alt=\"Ron Agresta\" width=\"100\" height=\"100\" srcset=\"https:\/\/solutionsreview.com\/data-management\/files\/2018\/11\/oie_272162uj4n9opM.jpg 100w, https:\/\/solutionsreview.com\/data-management\/files\/2018\/11\/oie_272162uj4n9opM-81x81.jpg 81w\" sizes=\"(max-width: 100px) 100vw, 100px\" \/>As the Director of Product Management for all data management offerings at <a href=\"https:\/\/www.sas.com\/en_us\/home.html\" target=\"_blank\" rel=\"noopener\">SAS<\/a>, Ron Agresta works closely with customers, partners and industry analysts to help research and developments teams at SAS develop data quality, data governance, data integration, data virtualization, and big data software and solutions. Ron holds a master\u2019s degree from North Carolina State University and a bachelor\u2019s degree from The Ohio State University.\u00a0<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>By Ron Agresta 2018 was a landmark year for data management \u2013 the EU\u2019s General Data Protection Regulation (GDPR) went into effect, California proposed the most comprehensive piece of US privacy legislation with the California Consumer Privacy Act, and consumers were historically vocal about the need for organizations to better protect and use their data. [&hellip;]<\/p>\n","protected":false},"author":23,"featured_media":1592,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3],"tags":[11,500,28],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Four Data Management Challenges and Opportunities for 2019<\/title>\n<meta name=\"description\" content=\"The big data landscape has evolved in 2018, and we&#039;re predicting that 2019 will present four key data management challenges and opportunities.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/solutionsreview.com\/data-management\/four-data-management-challenges-and-opportunities-for-2019\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Four Data Management Challenges and Opportunities for 2019\" \/>\n<meta property=\"og:description\" content=\"The big data landscape has evolved in 2018, and we&#039;re predicting that 2019 will present four key data management challenges and opportunities.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/solutionsreview.com\/data-management\/four-data-management-challenges-and-opportunities-for-2019\/\" \/>\n<meta property=\"og:site_name\" content=\"Data Management Software &amp; 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