Tag Archives: sas training centre in Pune

Interactive Data Discovery and Predictive Analytics: Extract Useful Knowledge from Data

Interactive-Data-Discovery-and-Predictive-Analytics-Extract-Useful-Knowledge-from-Data

Impressive predictive analytics coupled with interactive data discovery technology enable rational SAS analysts to distinguish pertinent trends and interactions in datasets, and pan out questions from all dimensions. This smashing concoction of technologies also allows business users to exchange ideas with pundits, to create, modify and pick the best predictive models, constructively.

 

 

A comprehensive SAS solution might be the key to empower users in taking better business decisions, without wasting much time. This kind of interactive solution must involve ceaseless communication, giving enough room to even non-technical users to explore data visually, develop analytic models, and share fruitful results.  

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Here’s why SAS Analytics Is a Must-Have IT Skill to Possess

Without the great Analytical surge, everything was looking fit and fine. The economy was performing well. The IT industry was looking stable. The tech honchos were playing fine. And then IT happened! Data Analytics snatched the dazzling limelight all to itself.

 
Here’s why SAS Analytics Is a Must-Have IT Skill to Possess
 

It’s true once in a while, our market needs a good shaking, or else things tend to get sluggish and slow. Over time, the industries start decreasing in efficiency and business houses crumples. Therefore, the change induced by Big Data Analytics is one for good: it started pulling back the market to its former position. From medical science to military to security, the reach of Big Data Analytics can be witnessed everywhere.

 


 

The evolution of analytics is largely consistent and covers a wide span of industries. It’s not like it suddenly came into a lot of focus, its advancement was slow and steady. Now, it has strived to become extremely important to store, interpret, analyze and develop crucial insights – social media is deriving maximum benefits out of analytics, while customizing their products to make more money from advertisements. On the other hand, the service-oriented companies love to manipulate data that is generated through myriad social channels to trigger customer base.

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How Data Preparation Changed Post Predictive Analytics Model Implementation

Data scientists assembling predictive models and formulating machine learning algorithms need to spare more time on data preparation work upfront than is required in traditional analytics applications.

 

How Data Preparation Changed Post Predictive Analytics Model Implementation

 

In today’s business sphere, the drive to structure big data architectures that would stand on predictive analytics models, data mining and machine learning applications is fast modifying the pattern of the data pipeline, along with the data preparation steps necessary to fuel it.

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Predictive Analytics: In conversation with Adam Bataran, Managing Director of GTM Global Salesforce Platforms at Bluewolf

To discuss about Predictive Analytics, we have Adam Bataran, Managing Director of GTM Global Salesforce Platforms at Bluewolf with us.

 

Follow the answers Mr. Bataran pitches to understand the entire concept better.

 
Predictive Analytics: In conversation with Adam Bataran, Managing Director of GTM Global Salesforce Platforms at Bluewolf
 

The question: What does predictive analytics mean and what value it imparts to the businesses today?

 

The answer: Predictive Analytics functions by implementing data, machine learning techniques and statistical algorithms to predict the future business outcomes and trends, based on past data and figures. It involves a number of distinct but advanced analytics disciplines and technologies – from deep data mining techniques and statistical analysis to predictive modeling and machine learning answers the most sought after question, “what will happen next?” or “how the customers will react to this?”.

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How to Determine the Size of a SAS Data Set

How to Determine the Size of a SAS Data Set

 

When program codes, applications and SAS data sets are developed, enough attention is often not given to EFFECIENCY, especially during the initial phases of development. Since, data size and system conduct can influence a program or an application’s functioning, SAS users need to access information about a data set’s size and content. To ascertain how much disk space a data set is using, users can easily do a few calculations to learn to access metadata content and attain the important information. Determine, estimate and understand information with this following tip, which helps improve SAS performance and fine-tuning of techniques.

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Learn to Surf on the Three Waves of Artificial Intelligence

Learn to Surf on the Three Waves of Artificial Intelligence
 

How is the future going to be like? Will human workforce be completely redundant? Will machine learning supersede human intelligence? There have been myriad forecasts about the illuminating future of the AI: that it will be capable of analyzing human emotions, evaluating social nuances, heading medical treatments and surgeries, all that shrouds the best of human resources. But what about now? What is the present scenario like? Fortunately, DARPA is here to unleash a stream of answers to various questions, asked as well as unasked.

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What is Truly Efficient? Understanding Stratified Random Sample:

What is Truly Efficient?  Understanding Stratified Random Sample:

We have discussed several times the efficiency of various techniques for selecting a simple random sample from an expansive dataset. With PROC SURVEYSELECT will do the job easily…

proc surveyselect data=large out=sample
	 method=srs   /* simple random sample */
	 rate=.01;   /* 1% sample rate       */
run;

However, let us assume that our data includes a STATE variable, and one would want to guarantee that a random sample includes the precise proportion of observations from each of the states of America.

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Advertising Technology is Being Transformed with Big Data

Big Data is elemental these days and almost everything revolves around it, be it retail sales, technological developments or even movie-making and novels. But what about the most closely sector which has relied upon analytics since its very inception, advertising? Currently the whole advertising sector is having its commandments rewritten, driven by insights gathered from Big Data analytics.

 

However, the prevalent notion of the business coaches and market mentors are that big data can seem to be like Latin or Hebrew to the novice or companies using it for the first time. So, for the aspiring and ambitious youth it may be a good idea to learn some intuitive analytics tools and snippets to bank on this growing big data trend and make the most of the bandwagon effect that lures in all humans when it comes to making decisions.

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We Analyzed The Statistics Of Game Of Thrones

Are you a data science enthusiast as well as a fan of Game of Thrones? Then this blog is where you should stick your eyes to and fear not as we will not give you any spoilers.

 

We Analyzed The Statistics Of Game Of Thrones

 

Of the zillion of characters in the show, ever imagined which is the main character the show is leading with? Amidst the characters like Tyrion, Bran, Dany and pals who is the main one in the Game of Thrones?

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Decades On, SAS is Still the Market Leader

In the 2016 February report by Gartner, SAS bagged the top slot in its execution ability and was once again placed in the quadrant of leaders in the Magic Quadrant for Advanced Analytics Platforms.According to the description, as provided by Gartner, advanced analytics involves various sorts of data analysis through the use of quantitative methods of great sophistication like machine learning, statistics, simulation, data mining in its both predictive and descriptive forms as well as optimization.

 

Decades On , SAS Still The Leader

 

The goal is come up with insights that are unlikely to be discovered through approaching business intelligence traditionally like query and reporting.

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