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Thursday, 17 March 2016

IDC Reveals Worldwide Big Data and Analytics Predictions for 2015 : Epoch Research Institute India Pvt. Ltd. (www.epoch.co.in)

IDC Reveals Worldwide Big Data and Analytics Predictions for 2015

EpochResearch Institute India Pvt Ltd. (SASAuthorised Training : Ahmedabad | Bangalore)

Visual data discovery tools will be growing 2.5x faster than rest of the BI market; investing in this enabler of end-user self service will become a requirement for all enterprises by 2018

FRAMINGHAM, Mass., December 11, 2014 – International Data Corporation (IDC) yesterday hosted the IDC FutureScape: Worldwide Big Data and Analytics 2015 Predictions Web conference. The session provided organizations with insight and perspective on long-term industry trends along with new themes that may be on the horizon. The Predictions Web conference series and accompanying IDC FutureScape reports are designed to help company leaders capitalize on emerging market opportunities and plan for future growth. An audio replay of this Web conference is now available. To access the replay, please visit: http://bit.ly/IDCBigDataFutureScape2015.

ClicktoTweet: @IDC Reveals #Worldwidebigdataandanalytics #Predictions2015 - Register for the webcast replay here http://ctt.ec/LaJ2a+

The predictions from the IDC FutureScape for Big Data and Analytics are:

Visual data discovery tools will be growing 2.5 times faster than rest of the business intelligence (BI) market. By 2018, investing in this enabler of end-user self service will become a requirement for all enterprises.

Over the next five years spending on cloud-based Big Data and analytics (BDA) solutions will grow three times faster than spending for on-premise solutions. Hybrid on/off premise deployments will become a requirement.

Shortage of skilled staff will persist. In the U.S. alone there will be 181,000 deep analytics roles in 2018 and five times that many positions requiring related skills in data management and interpretation.

By 2017 unified data platform architecture will become the foundation of BDA strategy. The unification will occur across information management, analysis, and search technology.

Growth in applications incorporating advanced and predictive analytics, including machine learning, will accelerate in 2015. These apps will grow 65% faster than apps without predictive functionality.

70% of large organizations already purchase external data and 100% will do so by 2019. In parallel more organizations will begin to monetize their data by selling them or providing value-added content.

Adoption of technology to continuously analyze streams of events will accelerate in 2015 as it is applied to Internet of Things (IoT) analytics, which is expected to grow at a five-year compound annual growth rate (CAGR) of 30%.

Decision management platforms will expand at a CAGR of 60% through 2019 in response to the need for greater consistency in decision making and decision making process knowledge retention.

Rich media (video, audio, image) analytics will at least triple in 2015 and emerge as the key driver for BDA technology investment.

By 2018 half of all consumers will interact with services based on cognitive computing on a regular basis.

"Leading organizations are changing how they measure their operations, interactions with customers, and resource allocations," said Dan Vesset Program Vice President for Business Analytics and Big Data research. "Faster access to more relevant data and constant experimentation is creating a further gap between leaders and the rest of the organizations. It is also creating new challenges for IT and business leaders tasked with their organization's big data and analytics strategy and execution."

The IDC FutureScape report that this Web conference is based on will be published and available within 24 hours. To learn more about IDC Predictions and IDC FutureScapes, please visit: www.idc.com/Predictions2015.

For additional information about these predictions or to arrange a one-on-one briefing, please contact Sarah Murray at 781-378-2674 orsarah@attunecommunications.com. Reports are available to qualified members of the media. For information on purchasing reports, contactinsights@idc.com; reporters should email sarah@attunecommunications.com.

About IDC FutureScape

IDC FutureScape reports are used to shape IT strategy and planning for the enterprise by providing a basic framework for evaluating IT initiatives in terms of their value to business strategy now and in the foreseeable future. IDC's FutureScapes are comprised of a set of decision imperatives designed to identify a range of pending issues that CIOs and senior technology professionals will confront within the typical three-year business planning cycle.

About IDC

International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. IDC helps IT professionals, business executives, and the investment community to make fact-based decisions on technology purchases and business strategy. More than 1,000 IDC analysts provide global, regional, and local expertise on technology and industry opportunities and trends in over 110 countries. In 2014, IDC celebrates its 50th anniversary of providing strategic insights to help clients achieve their key business objectives. IDC is a subsidiary of IDG, the world's leading technology media, research, and events company. You can learn more about IDC by visiting www.idc.com. Follow IDC on Twitter at @IDC.

Regions Covered:

Worldwide

Topics Covered:

Analytic applications, Big Data analytics and discovery, Big Data decision support and automation, Cloud-based partners, Internet of things, Value added content.

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Source : https://m.idc.com//pressRelease/prUS25329114

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The one piece of advice everyone in analytics needs to hear : Epoch Research Institute India Pvt. Ltd. (www.epoch.co.in)

The one piece of advice everyone in analytics needs to hear :

EpochResearch Institute India Pvt Ltd. (SASAuthorised Training : Ahmedabad | Bangalore)

Jeff Zeanah

I was recently asked why I would recommend my new class, Explaining Analytics to Decision Makers: Insights to Action. The answer goes back to some great advice, a lunch of eggplant parmesan and in another more twisted way, to what was ironically affectionately known as the “bomb plant.”

Early in my career I was working for a large company on a project. On this project was Bill, a well-respected, seasoned professional. It was known Bill was a year or two from retirement. Far from waiting out retirement, this gentleman was floating from project to project with little pressing responsibility and offering advice where he could. I knew of his reputation as a respected engineer and was pleased that through a good friend I had gotten to know him. Bill had heard that I was considering leaving my current position and starting an independent consulting practice to provide analytical support to a variety of clients. (This was well before today’s market and was more of a stretch than such a plan would be today.) He suggested we meet for lunch to discuss my plans.

Adapting to changes

Over lunch as we discussed my plans, he reflected on his long career. After growing up in east Georgia, he found himself misplaced both psychologically and professionally by the development of the Savannah River Plant. Affectionately known by the locals as the “bomb plant”, the building of the plant changed the region. Following a theme of all great southern writers, it was the backdrop of a changing South and the undercurrent of life captured by Pat Conroy in The Prince of Tides.

But Bill’s story was direct. Life as he knew it, based on a tight circle of life long contacts, had changed. He had found himself in the big city and had to live his off engineering skills. He talked about how his life changed and how he had to change. I listened intently as he was easy to listen to. He imparted his expansive knowledge with an easy manner. I was not aware he was leading up to a life changing moment for me.

Selling yourself is key

Halfway through the eggplant parmesan he delivered a straightforward statement. “You’re good enough to do what you are planning to do. And if you attempt to do it you will fail for only one reason. That reason would be not recognizing how hard you will need to sell yourself and your work to get business. You may think you are smart enough that people will come to you without that effort, but it is not true.”

Over the years I have had countless bright people tell me they want to do what I do – running a small consulting firm working on a variety of projects. I am asked for advice and I do my best to prepare them. I ask them how they like sales. “No, I don’t want to do sales, I want to do analytics,” is the reply. I have seen many fail, very predictably. Without Bill’s advice, I would have failed too.

Bill’s advice applies to anyone in any analytics job, anyone who wants to increase their value and increase their position in their careers. I have seen many efforts to explain analytics fail. I have been responsible for my share of them. I have learned that the skills and objectives are different than expected. Like Bill did, it requires stepping out of your comfort zone. I try to capture those differences in my new class. In part, I do this as a way of thanking Bil.

Source : http://blogs.sas.com/content/sastraining

Epoch Research Insitute Links:

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Email us: info@epoch.co.in

SAS Training & Placement Programs with Internship: Epoch Research Institute India Largest and Oldest #SASTraining Institute (#epochsastraining)

EPOCH RESEARCH INSTITUTE OFFERS:

Authorized SAS TRAINING | SAS CERTIFICATION | SOFTWARE PURCHASE | BUINESS CONSULTING | TECHNICAL SUPPORT ON SAS || SAS STAFFING SOLUTION

Label:

#SASELEARNING,#SASELEARNING,#SASONLINETRAINING,

#SASONLINETRAININGFORBEGINNERS,#LEARNSASPROGRAMMINGONLINE,

#SASCLINICALONLINETRAINING,#SASBASEONLINETRAINING

#BIGDATASASTRAININGEPOCH,#SASBIGDATATRAINING #EPOCHRESEARCHINSTITUTE, #SASTRAINING, #EPOCH SAS FEEDBACK,#CLINICALSAS, #CLINICALSASPROGRAMMING, #CLINICALSASPROGRAMMER

Tuesday, 15 March 2016

How to graph NBA data with SAS : Epoch Research Institute India Pvt. Ltd. (www.epoch.co.in)

How to graph NBA data with SAS : EpochResearch Institute India Pvt Ltd. (SASAuthorised Training : Ahmedabad | Bangalore)

Robert Allison

People have always been fascinated by sports statistics, and with the recent popularity of fantasy sports there is an increased demand for custom analyses of the sports data. With those folks in mind, I have created a simple example that SAS programmers can use as a starting point for analyzing NBA data.

Before we get into the nitty gritty details, here's a picture of my friend Simone's son playing basketball (in the bright shirt, with the ball). He's tall, in shape, and smart, so I think he'll do well in basketball. Who knows, maybe one of these days we'll all be plotting his data in our NBA graphs!

I had recently read about some examples that demonstrate how to use the Python and R programming languages to analyze the NBA data, and decided to try my hand at using SAS to do something similar. With a bit of digging, I found the magic url that can be used to download the data for a specified player & season. I then wrote some SAS code to import the data directly from the Web page, into a SAS dataset.

After scrutinizing the data a bit, I determined that the 0,0 origin coordinate was in the middle of the basket, and all of the shots were shown in relation to one end of the court. I looked up the dimensions of an NBA basketball court, then determined the coordinates of the 4 corners, and created a map polygon I could use to represent the court in Proc Gmap. I then converted the shot data into an annotate dataset that would plot the missed shots as red x's and the made shots as blue o's. Here's what things looked like so far:

The above graph is nice, but it would be even better with some points-of-reference so we can see 'where' the player was when he made the shot. Therefore I worked out the coordinates of all the markings on the court, and created a special annotate dataset to draw them on the map (using annotate draw and polygon functions). Wow - what a difference that makes!

How to graph NBA data with SAS #analytics Click To Tweet

The Proc Gmap approach is a good starting place for a spatial analysis, but how about analyzing the data over time? It was a simple matter to feed the data into Proc Gplot, and generate the following. Do you notice any trends in Stephen's shot data? Can you explain the outliers?

Just for Fun:

Here's a little quiz, to test your NBA knowledge, combined with your visual analytics perception skills. Below are three graphs - can you tell which goes with Kevin Durant, Lebron James, and Marc Gasol:

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