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5 Best Tools Transforming Predictive Analytics in 2018

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5 Best Tools Transforming Predictive Analytics in 2018

Gone are the days of sloppy decision-making techniques. Competitive businesses are embracing predictive analytics and associated tools.

Predictive analytics is a real game changer that allows companies to implement marketing strategies and serve customers with renewed efficiency. Customers in their natural interactions and networking with a company leave behind huge amounts of data. Predictive models extract valuable information from all this data, thereby helping enhance the performance of products and services, promoting better customer retention strategies, and improving core business competencies.

‘’The capacity for predictive analytics to learn from experience is what renders this technology effective, differentiating it from other business intelligence tools and analytics techniques’’, says the predictive analytics experts at Quantzig.

From thoroughly examining data, to figuring out correlations and patterns in data, predictive analytics tools effectively manage the entire business process. In this blog, we talk about some of the latest predictive analytics tools that are all the rage in 2018! So let’s dive in!

SAP Business Objects:

  • A powerful Business Intelligence platform that provides techniques to make swift and informed business decisions.
  • Offers a novel perspective on forming scalable solutions
  • SAP Business Object helps develop insights that encourage real time actions.
  • Enables users to visualize data in a self-serving manner

Image Source: Technosap

IBM Predictive Analytics:

  • Offers predictive analytics solutions that are simple to use and meet the requirements of different types of businesses.
  • Two important softwares, namely IBM SPSS Modeler and IBM SPSS Analytics, allow all users to implement predictive analytics and improve their businesses, irrespective of their skill levels.
  • The platform helps prevent frauds and maximizes profits.
  • It transforms extraneous data into predictive insights that steer key business decisions.
  • It is built with abilities to perform geospatial analysis and text analytics.
  • Runs on open source platforms with optional coding
  • Secure and private

Image Source: SlideShare

QlikView:

  • Flexible and easy-to-use business intelligence platform
  • Created by QlikTech
  • Allows enterprises to pull out relevant information from a given data set, which in turn helps design guided analytics applications.
  • Platform adopts a user-driven approach towards building charts and creating dashboards
  • BARC’ BI Survey 10 recognizes the ‘Agile BI’ ability of QlikView

Halo:

  • Ideal pick for an uninterrupted supply chain management system that aids in business forecasting
  • A smart platform with a dependable data repository, where cases can be run over and over again in order to perfectly match predictions with results.
  • Accessible through all kinds of browsers and available for cloud or hosted.
  • Self-serving nature of supply chain management allow organizations to increase customer satisfaction.

Image Source: Software Advice

Dataiku-DSS:

  • Dataiku is capable of transforming raw data into predictions.
  • Allows users to employ analytics appropriate algorithms
  • Allows users to leverage available libraries and apply custom codes in R and Python
  • Permits integration of external libraries by means of code API’s
  • Equipped with 80+ in-built functions that help investigate and clean raw forms of data
  • The best feature is a visual data profile at each step of analysis.

Image source: The Dataiku Blog

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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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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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Why B2B Marketers Should Use Predictive Analytics in 2018?

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The Risks are indispensable. In any business.

But what if you can nullify the risks?

Or find a suitable solution to limit them?

Why B2B Marketers Should Use Predictive Analytics in 2018?

That’s probably where Predictive Analytics ring the bell. Right from logistics and inventory to marketing initiatives and sales to applications in hiring and HR, predictive analytics is the ultimate tool that impacts business decisions across every domain of a B2B enterprise.

Continue reading “Why B2B Marketers Should Use Predictive Analytics in 2018?”

Data Science Jobs: Luxury Today, Necessity Tomorrow

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Data Science Jobs: Luxury Today, Necessity Tomorrow

A general consensus: the scene of employment is changing. The jobs in data science are spiking up, and at a robust rate. According to World Economic Forum in 2016, a nuanced state of affairs with employment fluctuations is likely to happen across sectors, jobs and geography in the coming years – hold your horses and wait with bated breath!

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Job Opportunities till 2020

A wide set of factors are expected to bring upon different effects on the varying segments of employment market till 2020. For an instance, recent demographic stats in the emerging job market are likely to ace up employment by 5% approx worldwide. On the other side, the surging geopolitical instability across the globe could reduce employment by 2.7%. Amidst this, artificial intelligence, touted as a replacement key for manpower is likely to have a minute effect on job reduction by a mere 1.5%.

Considerably, the overall figure points that the computing and mathematical jobs are going to increase by 3.2% – because a sturdy compilation of technological and geopolitical instability effect is expected to generate an altogether positive effect across various employment chains, suggesting the instability will in return result in a higher demand for programming, computing and modeling.

However, recruitment procedure is going to get more challenging.

Across every sector and every job family the perception is that recruitment will be more challenging in future #ai #sasacademic

Lower University application rates

Following the latest trends, the applications to universities by students have taken a halt – in UK, the number of people applying to universities has fallen drastically – the reason anticipated is the result of Brexit.

But irrespective of any reason, lower application rate is going to affect graduate recruitment. The emergence of a gig economy is largely considered a positive effort, but a lack of benefits like annual leave may cause some hindrance in the effectuality. Also, AI is resulting in a less number of job generation, the automation of entry-level jobs mean lesser jobs.

Hone your skills further after employment

While undergraduates and postgraduates eyes employment as the end of their education, for employers it’s an entirely different ball game. For them, employment is the just a stepping stone in the process of ongoing training to make sure the fresh workforce develops cutting-edge skills. This stands true especially in complex job areas of data science, where a shortage of graduates exists. As a result, motivate your existing workforce to develop required data analytics skills in the most accomplishing way to garner expertise and thorough know-how.

The most desirable quality in a new #DataScience hire is their dedication to continually learn more. #sasacademic #ai

To get the best kind of data science online training, drop by DexLab Analytics Delhi – it is a prime learning platform in India that helps you remain up-to-date with the latest tools and trends. The field of data analytics is evolving rapidly and continuing professional development is the need of the hour.

 
Source – blogs.sas.com
 

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