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How Big Data Analytics Power Profits for the Hospitality Industry

Posted on August 6, 2018May 23, 2020 by Dexlab

How Big Data Analytics Power Profits for the Hospitality Industry

The hospitality industry is highly dependent on customer satisfaction. And the analysis of big data can help this industry predict customer behavior by understanding their needs and expectations. This in turn enables the hotels and restaurants to provide personalized customer service and retain loyal customers.

Hospitality service provider Airbnb is making the most of the new ‘’mobile first’’ approach where responsive designs are created for the smallest screens. This mode allows customers to engage in Airbnb business through phones. Although big data and its analysis is a large part of the success for this industry, many companies are yet to fully understand the gains associated with big data.

Here are some ways how big data enables the hospitality industry to drive profits:

Take better control of business:

Effectively analyzing big data drastically changes how the business runs. The hotel industry is a data rich sector with massive volumes of web, audio and video content. However, many hotels don’t use their data to its full potential. For instance, hoteliers collect loyalty information but few exploit the data for making business decisions. Through analytical data exploitation, hotels can deepen their understanding of the behavior, needs and expectations of guests and develop better loyalty programs.

Customer segmentation and Targeting:

Hotels must use customer data to provide better customer service as that is essential for ensuring that customers return to avail their services again. Analyzing this data is crucial to segment customers based on booking and travel trends, preferences, chance of responding to promotions, etc. Targeting clients with wrong offers can hinder business growth. Data analysis allows them to retain their best repeat clients by good incentives and promotions. It also allows them to build separate deals for customers who don’t visit them often with the hopes of converting them to loyal customers.

Set best prices for rooms:

Big data analytics is very important for setting competitive hotel prices so that it attracts more guests. Apart from setting the best price for rooms, hospitality-driven businesses can optimize the budget for utilities through analysis of weather data and energy rates.

On-time delivery:

As big data tools become more and more advanced, it shall enable better collection of data from traffic, temperature, weather, route and other sources. This will improve food delivery by providing better estimates of time taken to deliver. Moreover, it shall help restaurants understand how all the aforementioned sources affect the quality of food. Thus, it helps to plan the transportation beforehand and optimizes the utilization of resources.

Menu enhancement:

Using the customer data on food preferences, restaurants can build a customer profile that contains their favorite food and drinks. From the data gathered through feedback forms and online surveys, they can identify the most popular items in their menu and determine whether their menu needs to be improvised or completely reengineered.

Hence, new sources of data and emerging technologies like IoT (Internet of Things) and AI (Artificial Intelligence) enable the hospitality industry to understand the current trends in the market and boost the overall profit of the enterprise.

Companies who are embracing the power of big data are reaping huge profits, and students who are enrolling for big data Hadoop courses are earning big bucks! So, unlock your career with a big data Hadoop certification in Gurgaon. And follow DexLab Analytics for the latest big data related blogs and information.

References:

www.smartdatacollective.com/hospitality-industry-emergence-big-data

www.hiddenbrains.com/blog/big-data-analytics-driving-restaurant-industry-towards-profitable-growth.html

insidebigdata.com/2018/08/03/three-industries-profiting-big-data

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Tapping Into Big Data for Better Talent Acquisition

Posted on August 3, 2018May 23, 2020 by Dexlab

Tapping Into Big Data for Better Talent Acquisition

There are many variables that need to be considered while making hiring decisions. Most importantly, there’s need to fill skill gap. Other factors are candidate behavior and financial aspects of hiring, like cost for training new employees. Big data and analytics help form valuable insights into the job market. Consider the example of IBM acquiring the services of consulting firm Kenexa. It was used to access data of 40 million workers in order to find the personality trait most suitable for a sales job. All kinds of information starting from the workers’ job applications to managerial level was analyzed and it was determined that ’persistence’ is the most valued trait.

Here are some important ways big data helps firms attract promising candidates:

Automate HR Affairs

Talent Acquisition encompasses a wide variety of tasks and when HR teams work in tandem with AI then many day-to-day tasks gets simplified. It helps with tasks like filtering and tracking application status of candidates, getting new hires onboard and making future decisions about employees by analyzing data of previous employees. Data enabled systems saves a lot of time and makes tedious tasks much easier.

Predictive Analytics for Better Hiring Decisions

Hiring professionals need 360 degree information about a particular situation in order to make the best decision possible. They need to analyze everything starting from the human capital requirement in the organization to the economics. Big data enables them to form a clear idea about the skill gaps in the company’s workforce, analyze current trends in the market, follow the financial KPI’s and demographic traits associated with hiring, set the hiring quota and identify the skills and talents to look for in new hires.

Discard ‘’Eleventh Hour’’ Hiring Method

The urgency to fill skill gaps often pressurizes HR professionals to make quick hires, which can be impulsive and not the best. With the help of predictive analytics, these last minute situations can be completely avoided. It allows HR teams to form long-term hiring strategies that align with company goals and also enables them to make timely hires. Using the power of big data, you can be aware of the future needs of your company and job market trends. Hence, it helps eliminate panic situations where you make a hire only to realize later that he/she doesn’t fit the bill.

Social Media for Insights

Big data helps firms attract the right candidates that fit a role. The hard data available on the social media platforms of promising candidates and their search behavior online give organizations crucial information that help them make right decisions. Talent Bin is one of the many employment websites that use information from social media to form insights.

Targeted Job Ads

With the help of analytics, companies can create target groups and rope them in by showing relevant ads. For example, if there’s a financial service provider who enjoys a large talent network interested in marketing on LinkedIn, then they can take this opportunity to post marketing-specific job advertisements. Many potential candidates might find these posts engaging and the company will find the right fit for the job.

Wrapping up, we can say that big data has opened up fresh avenues to make better hires. The influence of big data in every aspect of the modern corporate sector is truly astounding. The smartest candidates are enrolling for big data courses to build skills that sell the most in today’s world of work. For expert-guided big data Hadoop training in Gurgaon, visit DexLab Analytics.

Reference: insidebigdata.com/2018/07/20/big-data-talent-acquisition-effective-synergy-make-better-hires

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3 Recent Applications of AI will leave you Spellbound

Posted on August 3, 2018May 23, 2020 by Dexlab

3 Recent Applications of AI will leave you Spellbound

AI technology has the potential to enhance societies in a number of ways. Here, we discuss some of latest developments in AI-based research.

AI can smell illness in your breath

According to a recent declaration made by Nvidia, AI can detect illness, including cancer, by analyzing the human breath. Researchers from Edinburgh Cancer Center in UK, Loughborough University, the University of Edinburgh and Western General Hospital have developed an AI program using deep learning methods that is able to analyze compounds in human breath and predict illness. The motivation? Humans have a less developed sense of smell compared to other animals. Hence, a lot of information hidden in the air around us go unnoticed and can be perceived with a highly receptive olfactory system.

Source: news.developer.nvidia.com

The team of researchers said that this is the first machine learning model that can successfully detect compounds and ion patterns from raw GC-MS (Gas Chromatography and Mass Spectrometry) data. TensorFlow deep learning frameworks, cuDNN-accelerated Keras and Nvidia Tesla GPUs were used to develop neural networks for the program. The data utilized for expanding the neural networks was contributed by volunteers who had different forms of cancer and were undergoing radiotherapy. Artificial intelligence makes the process less expensive, and definitely more reliable and faster than humans analyzing a breath sample.

AI is marking exam papers

A new concept is coming together in China’s education system. Experiments suggest that machine intelligence can contest a teacher’s marking capability and at times even surpass it! AI has long assisted humans in marking multiple choice exams and performed wonderfully in that. Chinese researchers have taken the examining powers of AI-driven machines a step forward and developed AI that can mark essays.

First, the system perceives general logic from the context and then links it to the meaning of words. It works like a human mind that first understands the theme of the story from the headline and then reads through the rest of the writing. The machine learning algorithm assesses the quality of the essay with human-like judgment. It grades the paper and provides remarks on areas where there’s scope of improvement. These remarks include the need to improve sentence structure and writing approach among others.

Source: Cambridge assessment

A case study conducted with 120 million students from 60,000 schools shows that both the algorithm and human teachers have the same average performance rating, which is 92%. However, the model is designed to automatically improve as it handles more tasks and is likely to outperform the teachers in future.

Secret Archives of Vatican being decoded with AI

Within the walls of the Vatican lies the most impressive collection of historical facts in the world. The Vatican Secret Archives contains records that date back to more than 12 centuries. Despite gazillions of pages stored in Vatican, only a selected few are available to researchers and scholars online.

Source: Serial Box

A new project named In Condice Ratio is combining optical-character-recognition (OCR) with artificial intelligence to help scan through all the information and upload it to online database. Traditional OCR method isn’t effective on handwritten documents. But the new OCR enhanced with AI, known as jigsaw segmentation, can recognize different pen strokes and turn the raw information into searchable data.

Source: In Condice Ratio

What the future holds

It seems like in the near future humans beings will need to use and depend on the judgment of AI applications on the daily. So, why not master the necessary skills needed to understand the workings of AI applications? Enroll for machine learning courses in Gurgaon and follow DexLab Analytics for the latest AI-tech blogs. We provide top-notch machine learning training in Delhi.

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#JobTrends: Open Data Analytics Jobs in India Is Set To Double in 2018

Posted on August 1, 2018August 1, 2018 by Dexlab

#JobTrends: Open Data Analytics Jobs in India Is Set To Double in 2018

Prediction says – the demand for AI and Big Data Analytics jobs is expected to hit 5.11 lakh, but professionals possessing the desired skills will number only 3.7 lakh by the end of 2018 – according to the National Association of Software and Services Companies (Nasscom).

Further, the demand is expected to spike up to 7.86 lakh by the end of 2021.

No wonder, the Indian IT industry is exploding with lucrative opportunities – 2018 began witnessing a steep rise in demand for skilled consultants specialized in the quarters of emerging technologies, like machine learning and artificial intelligence as well as big data and analytics. And, with a steady focus on Digital India, the IT recruitment industry is on its wheels to add 50% more workforce, resulting in another 1.80 to 2.0 lakh job creation by the end of this year.

Artificial Intelligence alone has the ability to generate 2.3 million jobs globally by 2020, says Alka Dhingra, GM, IT Staffing, TeamLease Services, a leading recruitment company.

Revival of Indian IT sector

Since the technology is taking charge and rapidly transforming the every facet of business, the World Economic Forum has predicted a net loss of 5 million jobs in a couple of years. However, this leaves little room for worry, because job seekers and skilled professionals possessing the desired skills will be in a comfortable position to capitalize this trend and strive for better.

In this context, “Priority focus for us would be re-skilling the workforce in AI and big data,” says Debjani Ghosh, President, Nasscom, further adding, “Of the 4 million jobs in the industry, the nature of 60-65% is likely to change over the next five years.”

Quite interestingly, 1 out of 5 companies are found using AI to boost decision-making capacity. It help companies provide curated customized solutions and instructions to techies in real-time. Back in the day, traditional text analytics platforms were extremely complex; a handful number of companies were lucky enough to successfully analyze text data. But now, with Deep learning in AI, analysis of structured and unstructured text data has become a piece of cake – as a result of which, “We expect a 60 per cent increase in demand for AI and machine learning specialists in 2018,” shares BN Thammaiah, Managing Director, Kelly Services India.

Just like their job responsibility, the pay package of an AI professional breathes of adequacy – a techie with 2-4 years of experience earns 15-20 lakh INR annually, whereas 4-8 years of experience leads to 20-50 lakh INR annually.

Interested in Hadoop training in Gurgaon? Visit the experts at DexLab Analytics.

New Streams to Consider

Retail, healthcare, telecom and manufacturing – these sectors are going to first witness the big data impact, followed by automobiles and FinTech. The next 5 years is going to be pivotal. Companies would be struggling hard to find and appoint AI engineers, especially for positions relating BI and Cloud for industrial automation. BlockChain is another new-age digital discipline that has started shifting focus and drawing attention across the e-com industry. It is found penetrating the sector, and for good reasons.

Now, if you are a data-enthusiast and seeking ways to reap benefits out of such a magnanimous tech-revolution? We got your back. DexLab Analytics offers state of the art Big Data training in Gurgaon at the best prices. Learn more.

The blog has been sourced from —

www.thehindu.com/business/Industry/ai-big-data-will-require-51-lakh-people-in-2018/article24534536.ece?utm_campaign=socialflow

www.thehindubusinessline.com/info-tech/big-data-machine-learning-ai-to-shape-job-market-in-2018/article10006991.ece

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New Artificial Intelligence Model Provides Smart Solution to Water Logging in Indian Cities

Posted on July 31, 2018September 16, 2019 by Dexlab

New Artificial Intelligence Model Provides Smart Solution to Water Logging in Indian Cities

The primary reason why metro cities in India are hit by water logging during the monsoons is poor city planning. To tackle this problem, a team from Netaji Subhas Institute of Technology, headed by researchers Apoorva Gupta and Aman Bansal, have designed an AI model. This one-of–a-kind model predicts the severity of water logging in target locations by combining data on rainfall and traffic for a particular region.

The issue of water logging directly translates to economic losses for the country. If people are stranded in a place, if they can’t go about their daily business, it means a significant drop in productivity and business revenue. Mumbia, India’s financial capital faces this problem every year. There’s urgency to find a solution. On top of economic loses, heavy rainfall equals to heavy traffic, which boils down to fuel and time wastage as vehicles are stuck in jams.

Working of the technology

Firstly, the team collected relevant data and then fed this data into the machine learning platform they created. This data was then run through the platform. The AI-powered model analyzes data related to topography and other natural factors for a particular region. It can point out regions that are prone to water logging and this helps engineers make better decisions and avoid mistakes while planning the infrastructure of a city, like constructing the network of roads.

Neural networks, which are the brains of this system, have been able to identify areas that deserved extra attention while planning. It can also spot new areas that are naturally prone to water logging. The study and research that went into building this model was conducted in Manilla, Philippines’ capital city, since the region has similar topography and environmental characteristics to India.

Aggregating the data

Previously, researchers gave Internet of Things (IoTs) a shot. It relied on setting up electronic devices in various locations to fetch data on traffic, accident prevalence and moisture. However, the technicalities of these projects made them economically impractical.

The latest advancement in the field of technology made it possible for researchers to gather the required information. For example, Uber provides easy access to travel time data. It has come to be a reliable source for real-time data on traffic.

Future scope:

The real-time access to data boosts the practicality of this tech. The fact that algorithms self-evolve and improve as new data gets added to the system broadens the horizons of this AI-powered model. In future, this system can analyze data and spot accident-prone zones and also sent alerts to travelers as they approach those areas.

This revolutionary tech can be also be used for many other purposes. One of them is pointing out the most suitable locations to place emergency services like ambulances and fire-fighting engines. It can be utilized for predicting traffic on roads during special occasions like festivals and celebrations. In short, this new tech will serve as a great tool for engineers working on the architectural planning in developing countries.

Did you know that AI works like the human mind? But with the advantage of identifying patterns within huge data sets.

The smartest human beings are joining the AI workforce. Don’t be left behind. Enroll for machine learning course in Gurgaon. A machine learning certification from a reputed institute like DexLab Analytics is sure to give your career a huge boost!

Reference: sanvada.com/2018/07/06/new-artificial-intelligence-model-may-help-prevent-water-logging-cities

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Big Data Analytics: 10 Data-Slurping Things Everyone Should Know

Posted on July 30, 2018August 1, 2018 by Dexlab

Big Data Analytics: 10 Data-Slurping Things Everyone Should Know

Big Data is no more a fleeting obsession. With numbers. It’s the beginning of a cognitive revolution that’s touching every facet of life and business on this planet.

Thanks to technological advancement, we’re churning more data than ever before. In fact, a lot more. And for good reason.

Every second we create new data – Don’t believe me?

Here are 10 mindboggling stats about big data – how it’s created, ways it’s being used and how much of it is still out there waiting to AMAZEEE us!!!

In short, this convinces us why we can’t afford to ignore big data and analytics:

Data volumes are exploding – the way it’s growing, by the end of 2020, it would generate 1.7 megabytes of new data every second for every human being living on this planet.

In a couple of years, our aggregated digital reservoir of data will expand from 4.4 zettabytes to approximately 44 zettabytes, or 44 trillion gigabytes.

Facebook users view 2.77 million videos and send 31.25 million messages, on an average every minute.

Whaaaat??!!!

Too much to process??

Wait, till you hear this!

Every minute up to 300 hours of video are being uploaded on YouTube, alone.

Yes, while you are reading this blog, loads of users are already uploading chunks of content online.

For that reason or other, within the next 5 years, there will be more than 50 billion smart connected devices in the world, all powered by cutting edge data analysis technology.

Be ready to collect, analyze and share data without batting eyelids.

By 2020, one third of total data will roll over to the cloud (a concentrated network of servers all connected through the Internet)

Distributed Computing is the future. Google uses it involving 1000 computers to solve a single search query within 0.2 seconds. Woah!!!

Hadoop market is expected to grow at a compound annual growth rate 58% beating $1 billion mark by 2020.

The White House is heard to have invested more than $200 million in big data projects.

Now, the most spectacular fact is that less than 0.5% of all data is analyzed and used till now… So, just imagine the potential it withholds!!

In the next five years, big data is going to touch the moon, and what about you?! Don’t you feel like joining the data-inspired bandwagon?

Go, grab a quick Big Data Hadoop training in Gurgaon — and fill in oodles of knowledge, skill and expertise for improving your career graph and business performance. For more information on big data hadoop certification, drop by our expert website of DexLab Analytics.

The blog has been sourced from —

https://www.forbes.com/sites/bernardmarr/2015/09/30/big-data-20-mind-boggling-facts-everyone-must-read/#6a5cef7817b1

https://www.datasciencecentral.com/profiles/blogs/15-astonishing-tweetable-facts-about-analytics

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FAQs before Implementing a Data Lake

Posted on July 28, 2018August 11, 2018 by Dexlab

FAQs before Implementing a Data Lake

Data Lake – is a term you must have encountered numerous times, while working with data. With a sudden growth in data, data lakes are seen as an attractive way of storing and analyzing vast amounts of raw data, instead of relying on traditional data warehouse method.

But, how effective is it in solving big data related problems? Or what exactly is the purpose of a data lake?

Let’s start with answering that question –

What exactly is a data lake?

To begin with, the term ‘Data Lake’ doesn’t stand for a particular service or any product, rather it’s an encompassing approach towards big data architecture that can be encapsulated as ‘store now, analyze later’. In simple language, data lakes are basically used to store unstructured or semi-structured data that is derived from high-volume, high-velocity sources in a sudden stream – in the form of IoT, web interactions or product logs in a single repository to fulfill multiple analytic functions and cases.

What kind of data are you handling?

Data lakes are mostly used to store streaming data, which boasts of several characteristics mentioned below:

Semi-structured or unstructured
Quicker accumulation – a common workload for streaming data is tens of billions of records leading to hundreds of terabytes
Being generated continuously, even though in small bursts

However, if you are working with conventional, tabular information – like data available from financial, HR and CRM systems, we would suggest you to opt for typical data warehouses, and not data lakes.

What kind of tools and skills is your organization capable enough to provide?

Take a note, creating and maintaining a data lake is not similar to handling databases. Managing a data lake asks for so much more – it would typically need huge investment in engineering, especially for hiring big data engineers, who are in high-demand and very less in numbers.

If you are an organization and lack the abovementioned resources, you should stick to a data warehouse solution until you are in a position of hiring recommended engineering talent or using data lake platforms, such as Upsolver – for streamlining the methods of creating and administering cloud data lake without devoting sprawling engineering resources for the cause.

What to do with the data?

The manner of data storage follows a specific structure that would be suitable for a certain use case, like operational reporting but the purpose for data structuring leads to higher costs and could also put a limit to your ability to restructure the same data for future uses.

This is why the tagline: store now, analyze later for data lakes sounds good. If you are yet to make your mind whether to launch a machine learning project or boost future BI analysis, a data lake would fit the bill. Or else, a data warehouse is always there as the next best alternative.

What’s your data management and governance strategy?

In terms of governance, both data warehouses and lakes pose numerous challenges – so, whichever solution you chose, make sure you know how to tackle the difficulties. In data warehousing, the potent challenge is to constantly maintain and manage all the data that comes through and adding them consistently using business logic and data model. On the other hand, data lakes are messy and difficult to maintain and manage.

Nevertheless, armed with the right data analyst certification you can decipher the right ways to hit the best out of a data lake. For more details on data analytics training courses in Gurgaon, explore DexLab Analytics.

The article has been sourced from — www.sisense.com/blog/5-questions-ask-implementing-data-lake

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6 Mind-Blowing Facts on Big Data Everyone Must Know

Posted on July 27, 2018May 23, 2020 by Dexlab

6 Mind-Blowing Facts on Big Data Everyone Must Know

The hot topic in today’s business world is Big Data. The ability to access and analyze the massive amount of data generated every second is crucial for the growth of a business. In this blog, we highlight the rapid growth in data and its significance in business decisions through some incredible statistics.

Data Science Machine Learning Certification

The amount of information man created from the dawn of civilization until 2003 is currently created every two days!
And the instant messages, tweets and pictures you exchange every second contributes to this data. Ex CEO of Google, Eric Schmidt wonders if the world is ready for the big data-driven technological revolution that is imminent.

5 quintillion bytes of data are generated by internet users on a daily basis.
If the data generated in a day was burned onto DVDs, the number would be so massive that it could be piled on top of each other to reach the moon twice!

Out of all the data we create, only about 0.5% is analyzed and put to use.

There’s a huge amount of data that remains untapped. For all the Silicon Valley big shots, like Google, LinkedIn and Facebook, the aim is to link big data with personal data and create products that are highly personalized.

40,000 search queries are processed by Google every second and these add up to 3.5 billion searches each day and 1.2 trillion searches every year globally.

Google was founded in 1998 and back then it was catering to only ten thousand search queries every day. However, you shall be astonished after knowing that since 2006 more than ten thousand search queries have been performed through Google per second!

Big data has the potential to create 6 million jobs in the U.S.
LinkedIn’s head of data recruiting, Sherry Shah, described the big data job market as being ‘’very hot right now’’.

A 10% increase in the data accessibility for Fortune 1000 companies is likely to increase their income by $65 million!
And this is exactly why companies care so much about big data.

The job market for big data and analytics looks promising. Especially if you are fresher skilled in big data Hadoop then there’s a lot of scope for you. Compared to the current demand for professionals with Hadoop training, the number of available candidates is low. So, what are you waiting for? Enroll for Hadoop training in Gurgaon and grab amazing discounts on big data certifications.

This article has been sourced from:

ediscovery.co/ediscoverydaily/electronic-discovery/date-fun-facts-big-data-ediscovery-trends

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

Posted on July 26, 2018May 23, 2020 by Dexlab

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?

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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