Big Data, Business Intelligence, Data Science – the digital revolution is here, and it’s evolving steadfastly.
Soon, data analytics is becoming the life-source of IT. The range of technologies is varied, and the way data is expanding, we are fast moving towards a juncture where analysis of vast volumes of data will be done in a jiffy.
Continue reading “Master These Piping Hot Data Analytics Techniques and Stay Ahead of the Curve [Video]”
Data analytics is evolving. Coupled with Big Data, it is changing the topography of almost everything.
Each year, more and more companies are allocating their time and budget to exploit and understand vast pools of data strewn across them, both inside and outside company files. Of course, Big Data and Analytics is selling like a hot cake today, but what is its story of evolution? How the technology flourished 10 years back?
Continue reading “Is Change the Only Constant: How Analytics has Changed, while Staying the Same Over the Last Decade”
Analytics is the key to modern business growth. But, developing it as a highly interactive analytical interface is challenging enough to exhaust the time and resources both. As a result, many businesses are shifting their focus to Embedded Analytics (EA) for their operations, workflows and decision-making capabilities. This new breed of analytics, known as Embedded Analytics helps businesses leverage the power of data to process them in the most useful manner.
Continue reading “Embedded Analytics: How it’s Revolutionizing Businesses Today?”
With data analytics flourishing the manner it is, a lot of you hailing from IT background are sincerely thinking about making the remarkable switch from IT to Analytics. The skills you possess are transferable and the data structure fascinates you. You know very well, you will make more money in analytics and your career pathway will seek you great rewards. Yet something is stopping you from going!!!
What it is? Why are you feeling apprehensive to make the bold move that could change your life and career forever?
Continue reading “How to Take the Plunge from IT to Analytics: Explained”
Since the start of this year, new development in the field of technology has been the hottest topic of discussion at several science symposiums. This blog post sheds some light on what can be expected for 2017, based on 2016 evolutions in Data Science and Machine Learning.
Continue reading “Top 2016 Trends Expected to Turn Fruitful in 2017”