{"id":6319,"date":"2015-12-31T17:30:27","date_gmt":"2015-12-31T12:00:27","guid":{"rendered":"http:\/\/ivyproschool.com\/blog\/?p=6319"},"modified":"2025-04-01T15:13:05","modified_gmt":"2025-04-01T09:43:05","slug":"flashback-2015-top-5-trends-in-analytics","status":"publish","type":"post","link":"https:\/\/ivyproschool.com\/blog\/flashback-2015-top-5-trends-in-analytics\/","title":{"rendered":"Flashback 2015: Top 5 trends in Analytics"},"content":{"rendered":"

More and More people have been pulled into the \u201cAnalytics wave\u201d in the year 2015. The following are the top trends in Analytics over the past year. Have a look:<\/p>\n

1. Machine Learning<\/strong><\/em>
\nMachine Learning has been always looked upon as a complex and difficult to understand domain. But the year 2015 saw many companies unveil machine learning tools making it simpler for the developers as well as users.<\/p>\n

>Google offered\u00a0TensorFlow
\n>Microsoft came up with\u00a0DMLT, or Distributed Machine Learning Toolkit,
\n>Facebook opened up both its\u00a0machine learning modules for the Torch framework and\u00a0its hardware designs for GPU-accelerated machine learning.
\n>Amazon’s service –\u00a0Amazon Machine Learning<\/p>\n

2. Data Visualization<\/strong>
\nDrawing insights from complex data is not only about statistics or mathematical skills but also about creative skills. Year 2015 has inspired more and more Data scientist to wack their brains in creating inspirational visualizations that speak data and show compelling stories.<\/p>\n

Do take a look at the link https:\/\/www.google.com\/trends\/story\/2015_<\/a>US to understand what we mean<\/p>\n

3. Predictive Analytics in Entertainment and Infotainment Industry.<\/strong><\/em>
\nBig data is now playing a very important role in creating value for the entertainment and the infotainment industry. It answers questions related to audience tracking, right release window for new content, tracking social signals, predicting consumer preferences and optimizing channel wise\/content wise revenue.<\/p>\n

Analytics this year has been used extensively in Journalism. Remember the Poll analytics?<\/p>\n

4. Multi device BI and analytics<\/strong><\/em>
\nMultiple devices in the form of Mobile, tab, desktops are becoming ubiquitous and their use in all aspects of business is growing. BI and analytics are no exceptions.<\/p>\n

As per Ellie Fields, Vice President of Product Marketing at Tableau \u201cMobile analytics has grown up and moved out. It\u2019s no longer just an interface to legacy business intelligence products. In 2015, products with a fluid, mobile-first experience began to emerge. Working with data out in the world is going from being a chore to becoming a dynamic part of the analytics process.<\/em>\u201d<\/p>\n

5. Big data and Internet of Things<\/strong><\/em>
\nAccording to Forbes magazine \u201cIn March 2015 IBM\u00a0\u00a0announced that it is to invest $3 billion in Internet of Things technologies over the coming four years. The concept that all devices \u2013 not just computers \u2013 can talk and share information online, and interact with each other to make our lives easier, continues to be big business throughout 2015 and IBM say that their efforts will be focused on breaking new ground in real time analytics.<\/em>\u201d<\/p>\n

The launch of the Apple Watch as one of the world\u2019s first IOT gadgets makes way for the future of IOT.<\/p>\n

But how is Data Analytics\/Big data and Internet of things related?<\/p>\n

\u201cTo make the Internet of Things useful, we need an Analytics of Things. This will mean new data management and integration approaches, and new ways to analyze streaming data continuously\u201d<\/em> \u2013<\/p>\n

Thomas H. Davenport
\nPresident’s Distinguished Professor, Babson College
\nCo-founder and Director of Research, International Institute for Analytics
\nAuthor of\u00a0Competing on Analytics and Big Data at Work<\/p>\n

Inference drawn from :<\/p>\n

http:\/\/analyticsindiamag.com\/<\/p>\n

http:\/\/www.enterrasolutions.com\/<\/p>\n

Poynter<\/a><\/p><\/blockquote>\n