Category Archive: Analytics

Data Says This Game of Throne Character Carries the Maximum Weight

HBO’s fiery fantasy saga Game of Thrones Season 7 premiered last Sunday – by now the ardent stalwarts of this epic series have figured out the characters that matter the most. Just recently, a reputable data analytics firm Looker revealed some interesting facts, based on the data accumulated. So, want to know who secured the topmost rank?

 
Data Says This Game of Throne Character Carries the Maximum Weight
 

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More Than Fifty Percent Companies Lack Required Tools and Investment for Efficient Business Analytics

Fifty-nine percent of the companies around the world are not using Predictive Models or Advanced Analytics – says Forbes Insights/Dun & Bradstreet Study.

 
More Than Fifty Percent Companies Lack Required Tools and Investment for Efficient Business Analytics
 

A recent study by Forbes Insights and Dun & Bradstreet, “Analytics Accelerates Into the Mainstream: 2017 Enterprise Analytics Study,” elucidates the ever-increasing indispensable role that analytics play in today’s business world, all the way from devising strategies to operations. The gloomy Forbes study highlights the crucial need for immediate investment, implementation and prioritization of analytics within companies.

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Curiosity is Vital: How Machine Inquisitiveness Improves the Ability to Perform Smartly

What happens when a computer algorithm merges with a form of artificial curiosity – to solve precarious problems?

 
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Meticulous researchers at the University of California, Berkeley framed an “intrinsic curiosity model” to make their learning algorithm function even when there is a lack of strong feedback signal. The pioneering model developed by this team visions the AI software controlling a virtual agent in video games in pursuit of maximising its understanding of its environment and related aspects affecting that environment. Previously, there have been numerous attempts to render AI agents’ curiosity, but this time the trick is simpler and rewarding.

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Drawing a Bigger Picture: FAQs about Data Analytics

When the whole world is going crazy about business analytics, you might be sitting in a corner and wondering what does it all mean? With so many explanations, notions run a gamut of options.

 
Drawing a Bigger Picture: FAQs about Data Analytics
 

It’s TIME to be acquainted with all the imperceptible jargons of data science; let’s get things moving with these elementary FAQs.

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Role of Self Service Analytics in Businesses

Self Service Analytics is proving useful for business users, who are working on business data without necessarily having a background in technology and statistics. It is essentially bridging the gap between trained data analysts and normal business users.

 
Role of Self Service Analytics in Businesses
 

Following are the characteristics of Self Service Analytics:

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Understanding The Core Components of Data Management

Ever wondered why many organizations often find it hard to implement Big Data? The reason often is poor or non-existent data management strategies which works counterproductive.

 
Understanding The Core Components of Data Management
 

Data cannot be delivered or analysed without proper technology systems and procedural flows data can never be analysed or delivered. And without an expert team to manage and maintain the setup, errors, and backlogs will be frequent.

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Big Data Analytics and its Impact on Manufacturing Sector

It is no new news that the Big Data and software analytics have had a huge impact on the modern industries. There are several industry disruptors that have surfaced in the past few years and totally changed the lives of all connected humans. Like Google, Tesla and Uber! These are the companies that have used the long list of benefits presented to us by Big Data to expand and infiltrate newer markets, they have helped themselves improve customer relations and enhance their supply chains in multiple segments of market.

 
Big Data Analytics and its Impact on Manufacturing Sector
 

As per the latest IDC Research projects the sale of Big Data and analytics services will rise to USD 187 billion in 2019. This will be a huge leap from the USD 122 billion which was recorded in 2015. A major industry that stands to benefit greatly from this expansion which is the manufacturing industry, with the industry revenue projections ranging to USD 39 billion by 2019.

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How Predictive Analysis Works With Data Mining

We know that you have probably heard many times that predictive analysis will further optimize and accentuate your marketing campaigns. But it is hard to envision that in more concrete terms what it will achieve. This makes it harder to choose and direct analytics technology.

 

How Predictive Analysis Works With Data Mining

How Predictive Analysis Works With Data Mining

 

Wondering how you can get a functional value for marketing, sales and product directions without being an expert? The solution to all your problems lies in how predictive analytics may offer with benefits for the current marketing operations. But to use it you must learn a few specifics about how it works.

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Why Businesses Must Adapt to AI To Thrive in The Market?

It is a fact that Artificial Intelligence is no longer just a sci-fi hype anymore, but is in fact a major reality. The approached based on Artificial Intelligence like Natural Language Processing (NLP), Machine Learning (ML) and Deep Learning are slowly emerging to be highly realistic technologies within the industry.

Why Businesses Must Adapt to AI To Thrive in The Market?

Why Businesses Must Adapt to AI To Thrive in The Market?


Today we have a very efficient NLP engine system, which is as powerful as ML and deep learning algorithms available. In a recent article, published on WIRED we read about the perpetual death of code (i.e. programs and programming) and how we will soon be training in systems, just as the way we train our pets!

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Black Money in India Can be Traced With Ease by Applying Big Data Analytics

The economy took a hit with the recent demonetization of the INR 500 and 1000 currency notes. The jury of economists around the world are still debating whether the move was good or not, but it has definitely caused a huge inconvenience for the public. Moreover, exchanging such a large amount of old currency notes is nothing shy of a mammoth Herculean task, as almost 85 percent of the economy is in the form of high denomination currency.

Black Money in India Can be Traced With Ease by Applying Big Data Analytics

                Black Money in India Can be Traced With Ease by Applying Big Data Analytics

 

These measures have been taken by the government to curb the flow of Black Money in India and get rid of corruption from its roots. While there is still a mixed reaction from the common people about this move about it being good or bad, technological experts have a different viewpoint about preventing the flow of Black Money in the country.  They say that with use modern technologies like Big Data Analytics it will be possible to trace Black Money painlessly and with much ease.

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