{"id":1506,"date":"2015-12-16T18:57:46","date_gmt":"2015-12-16T23:57:46","guid":{"rendered":"https:\/\/solutionsreview.com\/business-intelligence\/?p=1506"},"modified":"2016-10-04T13:27:05","modified_gmt":"2016-10-04T17:27:05","slug":"prediction-organizations-will-implement-mdm-alongside-big-data-in-2016","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/business-intelligence\/prediction-organizations-will-implement-mdm-alongside-big-data-in-2016\/","title":{"rendered":"Prediction: Organizations will Implement MDM Alongside Big Data in 2016"},"content":{"rendered":"

\"Crystal<\/p>\n

By\u00a0Dr. Rado Kotorov<\/em><\/strong><\/p>\n

It\u2019s that time of year again. The holidays are right around the corner, and the new year is fast approaching. It\u2019s time to look back on the progress and successes that we\u2019ve seen in 2015 and give some thought to what 2016 has in store.<\/p>\n

With advancements across sectors, it\u2019s sure to be another exciting year in the tech world. The next year will undoubtedly bring advancements in Big Data as we mature from analysis to operational applications. Cloud too will mature, moving from simple tools to truly professional tools and applications. Aside from those broad advancements, I\u2019d like to share a few other areas where I expect big things in the coming year. Here\u2019s what I see as I gaze into my 2016 crystal ball:<\/p>\n

The Emergence of PDF 2.0<\/strong><\/p>\n

The PDF is an established and ubiquitous file type, and just as Web 2.0 caused a revolution in web usage, PDF 2.0 will cause a revolution in statements. The next generation of the PDF will feature embedded interactive analytics that will allow all consumers to analyze their statements and help them stay financially healthy, while also raising the analytical education level.\u00a0In a nutshell, we will see the rise of the Analytical Document Format (ADF) as a natural evolution of the PDF. Look forward, there are many more possibilities in the next generation of PDF.<\/p>\n

Peersuasion<\/strong><\/p>\n

The growth of social media and mobile will give birth to the rise of \u201cpeersuasion\u201d marketing, where retailers will look to entice buyers’ friends to help them make purchasing decisions in real-time. Consumers, especially those of younger generations, are always looking for friends\u2019 opinions before they purchase. For many of them, shopping is a social event, so the next wave of marketing efforts will center on enabling consumers to get that feedback from their peers without physically being with them in the store. This represents a new level of engagement that makes shopping truly social and leads to even more data capture and analytics. Welcome to the social shopping collaboration.<\/p>\n

<\/h3>\n

Master Data Management in Big Data Environments<\/strong><\/p>\n

Master data management (MDM) and Big Data are independently trending hotter right now, and people are wondering how they fit together. Fortunately, MDM and Big Data implementations are becoming more pragmatic and business-focused at the same time. Real business goals plus pragmatic approaches to technology plus market attention equals greater adoption of a wide variety of solutions.\u00a0In 2016, I predict we will see many organizations implement the value of mastering Big Data, and simultaneously nail down how they\u2019re going to get the job done right.<\/p>\n

Evolution of Self-Service<\/strong><\/p>\n

In the coming year, self-service analytics will evolve beyond just self-service for analysts. There will be self-service information for the masses delivered not through tools but through purpose-built interfaces and apps. Just as the ATM in banking evolved from a cash dispensing machine to a full transaction\/account management terminal, so too will self-service mature and spread to the masses. So let\u2019s welcome the next iterations of self-service analytics.\u00a0There is a lot of excitement to come.<\/p>\n

No matter what 2016 brings, it\u2019s sure to be an eventful year due to the rapidly evolving nature of technology and applications. If you have any predictions of your own, share them in the comment section below.<\/p>\n

\"RadoDr. Rado Kotorov is Chief Innovation Officer for Information Builders<\/a> and works both with the Business Intelligence and the iWay product divisions to provide thought leadership, analyze market and technology trends, aid in the development of innovative product roadmaps, and create rich programs to drive adoption of BI, analytics, data integrity, and integration technologies. He strives to make BI and business analytics more accessible, intuitive, and collaborative through the adoption of innovative Web 2.0, advanced visualization, predictive modeling, search, and mobile technologies. Connect with him on LinkedIn.<\/a><\/em><\/p>\n

\n

\t\t\t

\"Insight<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"

By\u00a0Dr. Rado Kotorov It\u2019s that time of year again. The holidays are right around the corner, and the new year is fast approaching. It\u2019s time to look back on the progress and successes that we\u2019ve seen in 2015 and give some thought to what 2016 has in store. With advancements across sectors, it\u2019s sure to […]<\/p>\n","protected":false},"author":23,"featured_media":1579,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[4],"tags":[14,71,256,72],"acf":[],"yoast_head":"\nPrediction: Organizations will Implement MDM Alongside Big Data in 2016<\/title>\n<meta name=\"description\" content=\"Rado Kotorov, CIO at Information Builders predicts that companies will deploy MDM strategies in conjunction with Big Data in 2016.\" \/>\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\/business-intelligence\/prediction-organizations-will-implement-mdm-alongside-big-data-in-2016\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Tim King\" \/>\n\t<meta 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