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Refugee Migration: How Predictive Analytics Coupled with Big Data is Developing Urgent Solutions for Countless Refugees?

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Refugee Migration: How Predictive Analytics Coupled with Big Data is Developing Urgent Solutions for Countless Refugees?

In total, 65 million people are currently displaced or live refugees – owing to the Syrian Civil War. Each day, thousands of refugees are fleeing their homes and seeking asylums in foreign countries. Many countries have opened their borders, countless UN agencies have come forward to help and handle the ongoing global crisis – but how bad is the current situation? What are the chances of working out a satisfactory solution?

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Predictive Analytics is the key. It’s a raw form of statistical science that mines through available data for future prediction of outcomes. Though we agree to the potentials of predictive analytics, we can’t turn a blind eye to the political and financial roadblocks it poses in front of us, which keeps us from addressing the current crisis with same gusto.

For excellent SAS predictive modeling training, DexLab Analytics is your go-to learning destination in Gurgaon. 

The Power of Prediction

Past data helps! They help the algorithms to anticipate the challenges even before they arise. Also migration data… gathered from a plethora of sources, including World Bank data, population censuses, sample surveys, population registers, and other administrative sources. Such treasure troves of data could be groundbreaking, especially for representatives working on forefront of the ongoing crisis. Armed with meaningful data, officials using advanced analytics could chart out most likely locations, where the refugees are about to head next. Spotting the possible signs of influx, government and respective policymakers might reroute the refugees to different locations, where better assistance is possible and expected. This kind of real-time data helps respectable authorities to transfer money and goods to locales that need them the most.

Nevertheless, predictions are not always on-point or don’t lead to the best guesses, all the time, yet in many cases, refugees could benefit – remember refugee crisis is not only a serious humanitarian crisis but also a development issue for countries that accept the asylum seekers. Thus, the authorities should refrain from bottling up hundreds and thousands of refugees from bottling them up in overcrowded camps, without food, water and other basic amenities. And for that, they need adequate data, which could help them make the best possible decision in such situations of distress.

A Hope in Sight

Technical challenges are soaring; if the world is resilient to solve the ongoing international crisis, predictive analytics has to be embraced, but make sure you give adequate importance to data security. Accidental data breaches and releases are happening all around, which could result in triggering targeted violence in specific, highly-populated, vulnerable areas.

Addressing the growing concern, hefty financial investment is the best play. Several private players and multinational organizations, including UN till now have given undue attention but devoted limited resources to tackle the challenge. That needs to be changed now. And fortunately, change is in motion; recently two key players in the humanitarian aid and development area of work signed a partnership to formulate innovative solutions for refugee crisis using far-reaching claws of big data and technology. The striking partnership between the World Bank and United Nations Refugee Agency is the first stepping stone towards improving the quality of data about refugees, prompting an improved smarter assistance for refugees across the globe.

No longer are such initiatives a distant concept; the phenomenal rise of big data hadoop and predictive analytics technology has stepped up the quality and speed of data resulting in tailor-made sophisticated assistance, perfect for refugee crisis. In a nutshell, the new dimension is going to make a lot of difference, and technology is going to be a game-changer in this.

For more interesting blogs and data-related stuffs, follow us on DexLab Analytics. We are a leading SAS Predictive Modelling training institute in Delhi offering high-in demand certification courses. Reach us today!

 

The blog has been sourced from —

sisense.com/blog/refugee-migration-where-are-people-fleeing-from-and-where-are-they-going

mashable.com/2018/04/24/big-data-refugees/#8md_gh7p2iqr

theconversation.com/millions-of-refugees-could-benefit-from-big-data-but-were-not-using-it-86286

 

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The Nitty-Gritty When It Comes to SAS 101

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The Nitty-Gritty When It Comes to SAS 101

SAS is a state-of-the-art business intelligence tool that is primarily designed to facilitate reporting, data analysis, mining and predictive modeling using convincing visualization and interactive dashboards. Being a powerful programming language, SAS performs complex statistical data analysis; unlike other built-in tools, like Microsoft Excel, SAS lets users to salvage and run data from a plethora of sources, along with ensuring enough control and freedom during data manipulation and compilation.

Statistical Analysis System (SAS) was introduced for organizations to explore their vast datasets in a highly interactive format. Today, SAS is largely used in machine learning, data science and business intelligence applications. Not only does it arms the organizations with the necessary tools and techniques to monitor key BI metrics, but also develops incredible insights and comprehensive reports, facilitating informed decision-making procedures.

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SAS Fuelling Career Growth

Business analytics and incredible BI tools have become central for running medium and large-scale enterprises across the globe, efficiently. With data becoming increasingly instrumental in pushing businesses to horizons of success, a majority of organizations is betting on SAS BI analytics.

As a result, the demand for SAS consultants is surging at an accelerating rate. Since more and more companies are adopting SAS analytics and altering the ways they used to work, SAS-related jobs are flooding the market. Handsome pay-packages are being offered to the right candidates, skilled and professional.

According to a recent study, the average salary of a diligent SAS programmer is around 10.8 Lacs – organizations are looking for professionals who would not only know how to slice and dice but also know how to draw the right projections and effectively communicate the insights. This is where SAS training Delhi comes in – Head-start a data journey with DexLab Analytics, as it offers the best SAS analytics training Delhi.

Books: For Enhancing the Level of SAS Knowledge

Besides encompassing SAS certification course modules, books tend to take us all a step closer to the bubbling pool of knowledge – SAS books are carefully written, specifically keeping in mind the requirements and focused areas of programmers and analysts.

Without any further ado, let’s dive into a well-curated list of SAS books that’ll help you ace the language like a pro:

 

  • SAS Essentials: Mastering SAS for Data Analytics by Elliott and Woodward – With an advanced approach, this book is perfect for master’s students of data analysis and programming and higher-level undergraduates.
  • SAS for Dummies by McDaniel and Hemedinger – An absolute beginner’s approach to SAS, this book is widely popular for its simple language, easier representation of facts and easy-to-follow guidelines.
  • The Little SAS Book by Delwiche and Slaughter – Ideal for beginners and experienced SAS consultants, as well, this book includes self-contained lessons, plenty of examples and interesting visuals.
  • SAS Certification Prep Guide – Released by the SAS institute, this is the final and official test-prep guide to be SAS certified.
  • Learning SAS by Examples: A Programmer’s Guide by Ron Cody – If you are a fast learner, this is the one for you. Each chapter in this book ends with test problems so that you are trained SAS-ready.

 

As final thoughts, SAS analytics is the most powerful tool for performing complex data analysis. Grasping the fundamentals of SAS language will surely present you a big leg up in the analytical domain. For SAS certification courses, drop by DexLab Analytics.

 

The blog has been sourced from –

https://www.whoishostingthis.com/resources/sas-programming

https://intellipaat.com/blog/what-is-sas-analytics

https://analyticsindiamag.com/analytics-india-salary-study-2017-by-analytixlabs-aim
 

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5 On-Going Predictive Analytics Applications That Marketers Should Be Familiar With

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5 On-Going Predictive Analytics Applications That Marketers Should Be Familiar With

Predictive Analytics is a very popular concept, and increasingly often, the marketing strategies are tied to the very idea of predictive analytics. However, businesses seeking insights about the future aren’t satisfied with whatever happened in the past. They want to know more, and that’s where the promising role of predictive analytics comes forth.

In this article, we will talk about some modern applications of predictive analytics that are deriving great results in the marketing sphere:

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Five On-Going Predictive Analytics Marketing Applications

Customer behavior models

Once only bigwig companies, like Amazon and eBay had the ability to do customer behavior prediction, but with increasing expansion of technology, even smaller companies have adopted the practice. Developing a comprehensive catalogue of predictive models is for sure a challenging task, but fortunately a number of relatively easier model types are plying assistance in the marketing scope. Amongst them, three most significant predictive models are Cluster Models, Propensity Models and Collaborative Filtering.

Assessing and prioritizing leads

With 3 B2B marketing use cases, here’s how we can predict early success and prepare the base for more complex use of predictive analytics:

  • Predictive Scoring – Prioritizing known leads, prospects, and accounts based on how they are probable to act upon.
  • Identification Models – Determining and acquiring prospects with characteristics akin to existing consumers.
  • Automated Segmentation – It’s crucial to segmenting leads for customized messaging.

The above-said groundwork helps prepare sales team to better apply the strategies and prioritize leads that can be converted into buyers. But of course, the techniques mentioned above need a high sales volume to perfectly prepare a robust predictive model.

Assessing which products or services to introduce into the market

Data visualization is crucial. It is not only visually effective, but is also ideal in guiding actions, based on customer behavior. It notifies which type of customers lives near a particular store, what is their average age-density and what kind of products they buy: do they purchase hard or soft goods, who goes for grocery shopping, the aged ones or the younger ones, and so on.

Content is the king

Targeting the right customers with the right content at the right moment boosts customer segmentation. It’s one of the most common predictive analytics marketing tricks because it’s simple, effective and directly impacts ROI. Some of the most popular predictive analytic models for content targeting are response modeling, affinity analysis and churn analysis – all of them can foretell you whether it would be fruitful to combine digital and print subscriptions or keep them separate or help you differentiate between a content that should levy a subscription fee from a content that has a one-time sales price.

Enhancing marketing strategies with predictive analytics

 Apart from the above 4 uses, few other drilled-down uses of predictive analytics in the marketing domain are as follows:

  • Gaining access to internal structured data
  • Accessing social media data
  • Employing behavior scoring on customer data

These applications could ascertain whether a social media- based marketing campaign would meet a raging success or a mobile marketing strategy would be more beneficial for the target audience.

For readers interested in making predictive analytics your career option, opt for SAS certification for predictive modeling from DexLab Analytics. At present, SAS predictive modeling training is the go-to course program you need to give wings to your analytics career.

 

The article has been sourced from —  https://www.techemergence.com/predictive-analytics-for-marketing-whats-possible-and-how-it-works

 

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6 Predictive Analytics Use Cases Proven To Ace Marketing Efforts

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6 Predictive Analytics Use Cases Proven To Ace Marketing Efforts

Predictive analytics includes a set of functions that leverage customer information to construct interesting assumptions about future potential customers. They play an integral role in determining a customer’s lifecycle.

What’s more, predictive analytics influences company strategy even before any prospect gets converted into a lead. That’s the way it functions, and as the leads are converted into customers, the new data collected impacts the next-generation marketing activities. The process is almost cyclical.

In this post, we will discuss about 6 use cases for predictive analytics that shows a significant impact on marketing ROI.

And here it starts:

Better Lead Scoring

With predictive analytics, lead scoring becomes a whole data-driven process that targets customers. It helps you leverage the actions of existing customers to build better future strategies. No more it remains an anecdotic listicle of measures from sales, instead it points out the ‘hot’ leads that can be pushed down through the funnel of sales.

Improved Lead Nurturing

Remember, one-size-fits-all doesn’t apply to lead nurturing.

For converting prospects into leads, a definitive plan for lead nurturing should be adopted. Predictive analytics is the hands-down tool to consider: take cue from behavioral and demographic data to push leads towards the sales funnel.

Smart Content Distribution

Today, every company invests in quality content creation. Content marketing has the power to fetch measurable ROI for your company. And this is where predictive analytics play a vital role: it analyses the type of content customers would find interesting, based on certain behavioral and demographic data and then automatically distribute them to the prospective leads.

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Protecting Baseline Becomes Easy

Predictive analytics help learn from the past mistakes. Past behavior is a testimony of future behavior, and it holds true for customers, as well. A clear analysis of behavioral patterns of previously-churned customers in your company would help identify the red flags your present customers are showing, thus results in protecting your baseline for a better, secure future.

Develop Products Fit For Customers

Understanding what customers need becomes a tad too easier when you are armed with a set of behavioral, demographic and psychological data of your customers. Again possible with predictive analytics! Leverage customer data and figure out what they are looking for.

Design Successful Future Campaign

Past performance analysis always leads to constructing better future campaign designs. As more and more new customers seem to enter your business, you need to leverage your data more precisely and curate content based on their preferences and requirements. And may even have to target specific audiences! So, treat past data as a treasure!

As parting thoughts, these six strategies for predictive modeling are perfect for transforming your business. Today, data is the power. Clean, high-quality data have the potential to take your business venture to unforeseeable heights of success.

And for that and more, DexLab Analytics is here to help. Our skilled consultants can crack the toughest data management problems and provide solutions to make predictive modeling using SAS better. For SAS predictive modeling training, peruse over our course section on the website.

 
The article has been sourced from – https://blog.reachforce.com/blog/8-use-cases-for-predictive-analytics-in-marketing
 

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SAS Conducts India’s Largest Analytics Forum in Mumbai

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SAS Conducts India’s Largest Analytics Forum in Mumbai

This May, India is making preparations to host the largest analytics forum in association with SAS – the top notch player in the world of business analytics. The conference on machine learning, AI, IoT, fraud management and customer experience hosted by SAS Forum India is going to be held on Tuesday, 15th May 2018 at Renaissance Mumbai Convention Centre Hotel, Mumbai.

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In its eight year, SAS Forum India is a highly acclaimed knowledge sharing platform wherein business consultants, users and industry honchos come together and meet every year to share crucial knowledge and experience in regards to Analytics. It offers incredible learning and networking experience, while focusing on the imposing role of Analytics across versatile industry domains.

Data is like a new currency impacting the world around – it’s being used right from dealing with humanitarian issues to solving intricate business challenges. In this scenario, the scope of data scientists becomes limitless. They are ushered into countless opportunities to establish connection with their customers, along with developing new profound experiences in the technology world.

Rightfully so, this year’s Forum is going to talk about the latest trends in machine learning, cognitive computing, artificial intelligence, Internet of Things, fraud intelligence, risk management, IFRS9 compliance and customer experience. Industry stalwarts and thought leaders hailing from various business verticals are expected to exchange nuanced notions about each concept to set off breakthrough outcomes and bang open doors of new possibilities.

However, this year the theme is Inspire the Extraordinary, and some of the influential speakers are noted below:

  • Mrutyunjay Mahapatra – Deputy Managing Director, State Bank of India
  • Daniel Zeo Jimenez – Regional Research Director, IDC Asia/Pacific
  • Rahul Shandilya, SVP and CIO – Customer Experience and Product Development, Mahindra & Mahindra
  • Goutam Datta – Vice President – Technology – ICICI Lombard
  • Mridul Sharma, CIO, IndusInd Bank
  • Sudip Banerjee, CTO, Reliance Capital and many more

The summit is also going to screen live demos of diverse analytics SAS solutions, including SAS Viya, the open, next-gen and cloud-ready solutions that help tackle analytics challenges, right from experimental to mission-critical.

Commenting on the occasion, Noshin Kagalwalla, Managing Director, SAS Institute India Pvt. Ltd  was found saying, “New age machine Learning & Deep Learning techniques that form the fulcrum of AI are now opening a whole new world of possibilities for businesses. At the SAS India Forum this year, we are delighted to be joined by some of the best and brightest leaders in analytics who will enlighten you on how to leverage these emerging technologies to succeed in the Analytics Economy.”

Now, as you are reading this blog we are sure you are interested in SAS certification courses. DexLab Analytics offers best SAS analytics training Delhi for aspiring candidates at decent prices. Check out the course details now!

The blog has been sourced from – http://www.dqindia.com/sas-host-indias-largest-analytics-forum-may-15-2018-mumbai

 

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Amalgamating SAS and Trilliant to Manage IoT and Energy Management Issues

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With the rise of IoT and advanced systems that connects everything from a city’s surveillance grid to its transportation and utility systems, smart cities are evolving each day. They are being equipped with better street lighting, traffic conditions and utility services – an area that is in central focus is the smart street lighting that keeps its citizens safe and sound. In this regard, Trilliant, a top notch global provider of safe, enterprise wide smart energy communication systems has stepped forward with the analytics scion SAS. They have come together to sign an agreement that empowers data-driven decisions to optimize connected grid devices in the respective systems.

Amalgamating SAS and Trilliant to Manage IoT and Energy Management Issues

According to the agreement, Trilliant and SAS will jointly work to strike off system and interface compatibility, especially the analytics for the Internet of Things (IoT). While Trilliant will provide real-time data from a secure, technologically robust and multi-application networking platform, SAS will seamlessly integrate principal event stream processing for both structured and unstructured data. The latter will also provide machine learning for event detection, distributed energy resource optimization and revenue protection.

Continue reading “Amalgamating SAS and Trilliant to Manage IoT and Energy Management Issues”

The Soaring Importance of SAS in Creating jobs Across Various Industry Domains

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In a survey held in 2016, 54 million employees across 350 industries picked out SAS as the most valuable skill to possess. SAS skills still top the list. With predictive analytics gaining speed and accuracy in the world, one just cannot ignore SAS – the oldest and brightest data analytics tool. Though SAS-dominating days are gone, as R and Python has come up ruling the world , 41% of talented data science professionals still prefer SAS as compared to any other languages. The data science market is conquered by R and Python to a great extent, yet you will find a substantial number of clients still putting their bet on SAS predictive modeling.

SAS-Certification-India

To test how SAS certification is taking the job world by storm, open your web-browser and type ‘SAS jobs’ in the search panel – the following results in front of your eyes will give you all your answers. In fact, you’ll be more than surprised to see how many jobs springs up that calls for SAS expertise. A lot of clients and data houses seek SAS certified professionals to take care of the data-induced challenges and the numbers are quite overwhelming!

 

In total, SAS has around 85000 clients across the globe – owing to which, the demand for SAS should come as no surprise to you.

Benefits of SAS:

  • High Salary
  • Increasing Global Demand
  • Marketability
  • Role-focused
  • Validation of Skills

 

Besides the benefits enumerated above, SAS certification sizzles with myriad other perks related to data and analytics, and is regarded to be extremely useful in bagging entry-level jobs in data science and analytics. A diligent SAS expert explores the broadening field of SAS ANALYTICS, while streamlining his individual skill and expertise to add credibility to his job profile.

 

Want to get an instant pay hike? SAS skills may come to your rescue. Once you hone your SAS analytics skill, you can start expecting 6% to 10% pay hike, which further expands, if you add data mining and data modeling skills to in your resume, likewise.

 

Financial analytics and SAS

To improve the performance of business and act upon the loopholes present in an organization, financial analysts backed by advanced SAS analytics skills pore over a vast amount of company’s financial data. They help you answer all the business related questions and predict the future of your organization.

Healthcare and SAS

As healthcare pushes boundaries to ace the digital transition, Statistical Analysis Systems (SAS) is bringing all kinds of latest technical updates and modifications across a wide spectrum of care, right from the way healthcare providers perform tests to measuring patient safety and health outcomes. It is playing a pivotal role in tapping a lot of disease states and assessing ways to commercialize treatments.

 

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Who specializes in SAS and why?

SAS skill is for experienced professionals. Old timers are its biggest fan, especially those who have more than 15 years of job experience. For them, nothing suits better than this miracle tool for data analysis.

However, the tides of time is changing, the current pool of students is somewhat showing keen interest in this field of study for quite some time now. But it takes a real effort of time and practice both to excel in this highly advanced software.

 

Drop by DexLab Analytics to avail SAS online training. The course here is designed and delivered by industry experts with crisp content and student-friendly learning techniques. Visit their website today!

 

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How to Create a Self-similar Christmas Tree Using SAS

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The season of celebration is here! Christmas is just around the corner. And here is a beautiful self-similar Christmas tree that was created using SAS with the help of two fascinating features – matrix computations and ODS statistical graphics.

How to Create a Self-similar Christmas Tree Using SAS

Experiencing self-similarity in Kronecker products

You might have come across blogposts highlighting how repeated Kronecker product of a binary matrix ushers us into self-similar structures. But this time, we are taking special care in introducing self-similarity in Kronecker products – like, if M is a binary matrix then Kronecker product happens to be M@M, which is a block matrix in which each 1 inside the original matrix is replaced by a copy of M, and each O is replaced with a zero block. In this blog, @ stands for the Kronecker product (or direct product) operator implemented in IML/SAS software). Continue reading “How to Create a Self-similar Christmas Tree Using SAS”

Researchers Peer into the Hood of Computational Linguistics

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Researchers Peer into the Hood of Computational Linguistics

 

To start, give a look at these two sentences:

“This house is in a detestable location.”

“This detestable house is in this location.”

 

Well, these two sentences have virtually similar words, but owing to their structure, they exude entirely two different meanings. Understanding the true meaning of the sentences just by having a look at the words was something only reserved for the human intelligence, until now. Breakthroughs in Natural Language Processing (NLP), also known as computational linguistics have blazed a trail in this domain, which was once dominated by humans.

Continue reading “Researchers Peer into the Hood of Computational Linguistics”

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