{"id":3457,"date":"2017-02-27T08:45:19","date_gmt":"2017-02-27T03:15:19","guid":{"rendered":"http:\/\/www.allerin.com\/blog\/?p=3457"},"modified":"2017-02-27T12:11:46","modified_gmt":"2017-02-27T06:41:46","slug":"bridge-strategy-gap-for-big-data-adoption","status":"publish","type":"post","link":"https:\/\/www.allerin.com\/blog\/bridge-strategy-gap-for-big-data-adoption\/","title":{"rendered":"Bridge strategy gap for big data adoption"},"content":{"rendered":"<p><a href=\"http:\/\/www.allerin.com\/wp-blog\/wp-content\/uploads\/2017\/02\/big-strategie-gap.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-3607\" src=\"http:\/\/www.allerin.com\/wp-blog\/wp-content\/uploads\/2017\/02\/big-strategie-gap.jpg\" alt=\"\" width=\"770\" height=\"513\" srcset=\"https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2017\/02\/big-strategie-gap.jpg 770w, https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2017\/02\/big-strategie-gap-300x200.jpg 300w, https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2017\/02\/big-strategie-gap-768x512.jpg 768w\" sizes=\"auto, (max-width: 770px) 100vw, 770px\" \/><\/a><\/p>\n<p>There is a difference between the idea of big data adoption and the successful <a href=\"https:\/\/www.allerin.com\/contact\" target=\"_blank\">implementation of a big data initiative<\/a> in an enterprise. And the reason for that disparity is simple: successfully implementing big data requires right people with the right skills. As the adoption of big data has accelerated, such skilled staff is becoming hard to find. Also, a lack of departmental trust is preventing organizations from getting full value from their analytics projects.<\/p>\n<h6><\/h6>\n<p>Following are two ways for overcoming these gaps:<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><a href=\"http:\/\/www.allerin.com\/wp-blog\/wp-content\/uploads\/2017\/02\/second-big-gap.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3608 size-full\" src=\"http:\/\/www.allerin.com\/wp-blog\/wp-content\/uploads\/2017\/02\/second-big-gap.jpg\" width=\"770\" height=\"513\" srcset=\"https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2017\/02\/second-big-gap.jpg 770w, https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2017\/02\/second-big-gap-300x200.jpg 300w, https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2017\/02\/second-big-gap-768x512.jpg 768w\" sizes=\"auto, (max-width: 770px) 100vw, 770px\" \/><\/a><em>Image source: <\/em> <em>www.commons.wikimedia.org<\/em><\/p>\n<h1>Invest In Resources and Build In-House Skills<\/h1>\n<p>Analytics leaders have revealed that they are facing a strong concern over lack of skilled resources. For tackling this, analytics leaders must show willingness on their part for investing in new skills. Investing in new skills will help in achieving those objectives that companies believe they can fulfill with big data. Analytics leaders should be well aware of fundamental differences in technologies, different types of data, skills, and methodologies that are required for big data projects.<\/p>\n<h6><\/h6>\n<p>Several organizations are unable to find data scientists that have suitable combination technical, analytical and business skills. Data science has become a critical skill for companies that want to discover insights for supporting the business decision-making process. But, as everyone is hiring data scientists, the demand of these scientists is outstripping supply. Thus, for overcoming this hurdle, organizations must follow a pragmatic approach for building in-house data scientist skills, rather than insisting on hiring a professional and well-experienced data scientist for their big data project. For building these in-house skills organizations must implement intensive training, along with educating organization\u2019s staff on how to work with different types of data, new analytics techniques, and technologies.<\/p>\n<h1>Take Inputs from Business Users to Encourage Big Data Adoption<\/h1>\n<p>Research has revealed that business users play little part in enabling the development of the data processing algorithm, but are then expected to take action on the results based on algorithmic calculations. Several big data initiatives fail due to a high number of null outcomes coming because of the above reason. This induces a low level of trust to act on big data results if these results are different from an individual\u2019s experience and judgment. Thus, business leaders should be invited for offering their inputs and participating in analytics modeling and development process. This will improve trust in <a href=\"https:\/\/www.allerin.com\/services\/big-data-analytics\/hadoop-solutions\">big data analytics<\/a> and enable wider adoption of big data.<\/p>\n<h6><\/h6>\n<p>Data analytics can be accelerated by focusing on breaking down trust barriers by an increased focus on staff education and investing in skill development so that everyone understands and interprets data similarly.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>There is a difference between the idea of big data adoption and the successful implementation of a big data initiative in an enterprise. And the reason for that disparity is&#8230;<\/p>\n","protected":false},"author":1,"featured_media":3607,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[126],"tags":[270],"class_list":["post-3457","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","tag-big-data-adoption"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.5 (Yoast SEO v27.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Bridge strategy gap for big data adoption | Analytics | IoT |<\/title>\n<meta name=\"description\" content=\"There is a difference between the idea of big data adoption and the successful implementation of a big data initiative in an enterprise.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.allerin.com\/blog\/bridge-strategy-gap-for-big-data-adoption\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Bridge strategy gap for big data adoption\" \/>\n<meta property=\"og:description\" content=\"There is a difference between the idea of big data adoption and the successful implementation of a big data initiative in an enterprise. And the reason\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.allerin.com\/blog\/bridge-strategy-gap-for-big-data-adoption\/\" \/>\n<meta property=\"og:site_name\" content=\"Artificial Intelligence, ROBOTICS, AUTOMATION\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/allerintech\" \/>\n<meta property=\"article:published_time\" content=\"2017-02-27T03:15:19+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2017-02-27T06:41:46+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.allerin.com\/wp-blog\/wp-content\/uploads\/2017\/02\/big-strategie-gap.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"770\" \/>\n\t<meta property=\"og:image:height\" content=\"513\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Naveen Joshi\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@joshinav\" \/>\n<meta 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