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DexLab Analytics is Providing Intensive Demo Sessions in March

Posted on March 14, 2019March 14, 2019 by Dexlab

DexLab Analytics is Providing Intensive Demo Sessions in March

The internet has spurred quite a revolution – in several sectors, including education. Interested candidates are at liberty today to learn a vast array of things and garner a humongous pool of knowledge. Online demo sessions further add to the effect. These demo sessions are state-of-the-art and in sync with the industry demands. They are one of the most effective methods of learning and upgrading skills, particularly for the professionals. They transform the learning process and for all the good reasons.

DexLab Analytics is a premier data science training institute that conducts demo sessions, online and offline regularly. These demo sessions are indeed helpful for the students. With an encompassing curriculum, a team of experts and a flexible timing, the realm of demo sessions has become quite interesting and information-laden.

Talking of online sessions, they are incredibly on-point and high on flexibility. With daring innovations in technology, no longer do you have to travel for hours to reach your tuition center. Instead, from the confines of your home sweet home, you can gain access to these intensive demo sessions and learn yourselves. Adding to that, the medium of learning is easy and user-friendly. The millennial generation is extremely tech-savvy that leaves no room for difficulties learning online.

Moreover, we boast of top-of-the-line faculty strength, well-versed in the art and science of data science and machine learning. With years of experience and expertise, the consultants working with us are extremely professional and knowledgeable in their respected field of study. Lastly, online demo sessions are great tools for career advancement. While working, you can easily upgrade your skills in your own time – boosting career endeavors further. The flexibility of learning is the greatest advantage.

This month, DexLab Analytics is organizing the following demo sessions; kindly take a note of the date and timing:

Demo session on Machine Learning, Deep Learning and Python – Saturday 16th March at 2 PM by industry professionals
Demo session on Data Visualization and Reporting – Saturday 23rd March at 11 AM by industry professionals
Demo session on Credit Risk Modelling – Saturday 16th March at 2 PM by industry professionals

For more information on big data Hadoop training in Delhi, follow DexLab Analytics.

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Enhancing Food Safety with IoT and Big Data Analytics: Here’s how

Posted on March 1, 2019March 1, 2019 by Dexlab

Enhancing Food Safety with IoT and Big Data Analytics: Here’s how

We’ve all gone through it – sudden publicity regarding a particular food item being ‘’unsafe and hazardous’’ that sends us rummaging through our kitchen to discard those products. But in this age where everything goes through multiple inspections, how do these errors happen?

The truth is tracking the source of contaminated food and isolating compromised items isn’t all that efficient. This is where big data analytics and IoT can play game-changing roles. These two revolutionary techs have disrupted many industries for good, and promise to positively transform the food sector too.

IoT for Tracing Shipments

IoT in the form of RFID tags and barcodes are popularly used in the food industry to track shipped food products from source till destination, ensuring retailers acquire the ordered products safely and fulfill consumer demand. However, recently advanced IoT sensors are being used to obtain more detailed information about food products being transported all over the world. These sensors can greatly enhance food safety – they have the capability of identifying minute dust particles and keeping track of environmental conditions like temperature. For example, these sensors can be used for monitoring temperature of frozen chicken being shipped between China and U.S., as above-freezing temperatures will jeopardize their safety. Some sensors even relay data in real-time, making sure optimal conditions affirmed by safety guidelines are always maintained.

IoT Helping Investigations

Human investigators aren’t always capable of detecting the source of contamination following the discovery of fouled food items. It isn’t humanly possible to locate all the touch points in our modern and highly complex food processes. But IoT technology, with its superior tracking and supervising capabilities, can assist these investigations by spotting the exact point where the contamination occurred.

Addition of Big Data

A side benefit of IoT is the addition of a great deal of data that lay unused in cyberspace. Once all this data is assembled and analyzed, it will help track failure points, identify patterns in food-safety failures and even predict the conditions that cause food spoilage in future.

Assistance for Cultivators

Using big data related to weather and analyzing historical patterns, many tech companies are recognizing potential natural disasters beforehand. This can hugely benefit crop producers. For example, certain environmental conditions can boost the growth of unwanted pests that makes the produce unsafe for consumption. This information can help take necessary preventive measures.

Genetic Indexing

With the help of big data, correlation between bacteria RNA and DNA can be identified, resulting in genetic indexing for particular foods. Firstly, with the help of this information, food inspectors can spot harmful bacteria in food items. After this, IoT can be employed to track down the source. Once the starting point has been identified, more data can be obtained from there about the conditions that foster bacterial growth, allowing such circumstances to be avoided in future.

Improving Storage Safety with IoT and Big Data

Infestation with rats and other unwanted animals is a common problem in food storage facilities. But real-time data coming from IoT sensors combined with historical data on infestations now enables storage units to improve their conditions and protect the environment from such infestations.

Together IoT and Big Data can Promote Better Collaboration

According to WHO estimates, food-borne illnesses affect approximately 600 million people worldwide, out of them around 420,000 people pass away. To improve this condition, everyone working in the food industry must work collaboratively. And the ability of access big data and take help of an advanced technology like IoT will greatly assist this collaboration.

Every industry is going through an overhaul because of big data. In today’s world, big data education offers great power to all professionals. That’s why you must consider the top-grade big data courses in Delhi. Practical-based courses are delivered by industry experts and each student is given individual attention based on his/her level – this is what makes DexLab Analytics a leading Big Data Hadoop institute in Delhi NCR.

Reference: www.forbes.com/sites/andrewarnold/2019/02/20/how-iot-and-big-data-analytics-can-make-our-food-safer/#785e1d3d1d45

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Big Data and Its Influence on Netflix

Posted on March 1, 2019March 1, 2019 by Dexlab

Big Data and Its Influence on Netflix

With resonating hits, like Bird Box and Bandersnatch, Netflix is revolutionizing the entertainment industry – all with the power of big data and predictive analytics.

Big Data Analytics is the heart and soul of Netflix, says the Wall Street Journal. Not only the company relies on big data to optimize its video streaming quality but also to tap into customer entertainment preferences and content viewing pattern. This eventually helps Netflix target its subscribers with content and offers on shows they prefer watching.

Committed to Data, Particularly User Data

With nearly 130 million subscribers, Netflix needs to collect, manage and analyze colossal amounts of data – all for the sole purpose of enhancing user experience. Since its inception days of being a mere DVD distributor, Netflix has always been obsessed about user data. Even then, the company had an adequate reservoir of user data and a robust recommendation system. However, it was only after the launch of its incredible streaming service that Netflix took the game of data analytics to an altogether different level.

In fact, Netflix invested $1 million in a cutting-edge developer company for coming up with an algorithm that increased the accuracy of their already-existing recommendation engine by almost 10%. For this, Netflix can now save $1 billion annually from customer retention.

Netflix Already Knows What You Going to Watch Next

Yes, Netflix is a powerhouse of user behavior information. The content streaming giant knows your viewing habits better than you – courtesy pure statistics, preferably predictive analytics. This is one of the major strengths of Netflix – the way it analyzes data, adjusts algorithms and optimizes video streaming experience is simply incredible.

However, nothing great comes easy. Close monitoring of user viewing habits is essential. Right from how much time each user spends on picking movies to the number of times he/she watches a particular show, each and every data is extremely important. Moreover, conventional calculus helps Netflix in understanding its user behavior trends and necessarily provides them with appropriate customized content.

As closing thoughts, Netflix is a clear-cut answer to how technological advancement has influenced human creativity beyond levels. Powered by big data and predictive analytics, Netflix has surely debunked several lame theories on content preference and customer viewing habits. So, if you are interested in big data Hadoop training in Delhi, this is the time to act upon. With DexLab Analytics by your side, you can definitely give wings to your dreams, specifically data dreams.

The blog has been sourced from — www.muvi.com/blogs/deciphering-the-unstoppable-netflix-and-the-role-of-big-data.html

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Big Data Enhances Remote IT Support: Here’s How

Posted on February 21, 2019May 23, 2020 by Dexlab

Big Data Enhances Remote IT Support: Here’s How

Big data is the backbone of modern businesses. All their decisions are data driven. Firstly, information is aggregated from various sources, like customer viewing pattern and purchasing behavior. After this, the data is analyzed and then actionable insights are generated. Nowadays, most companies rely on some type of business intelligence tool. All in all, information collection is increasing exponentially.

However, in many cases the desire for information has gone too far. The recent scandal involving Facebook and Cambridge Analytica stands as an example. It has left people very insecure about their online activities. Fears regarding violation of privacy are rising; people are worried that their data is being monitored constantly and even used without their awareness. Naturally, everyone is pushing for improved data protection. And we’re seeing the results too – General Data Protection Regulation (GDPR) in EU and the toughening of US Data Regulations is only the beginning.

Although data organization and compliance have always been the foundation of IT’s sphere of activity, still businesses are lagging behind in utilizing big data in remote IT support. They have started using big data to enhance their services only very recently.

Advantages of data-directed remote IT support

The IT landscape has undergone a drastic change owing to the rapid advancement of technology. The rate at which devices and software packages are multiplying, Desktop Management is turning out to be a nightmarish task. Big data can help IT departments manage this situation better.

Managing complexity and IT compliance

The key reasons behind maximum number of data breaches are user errors and missing patches. Big data is very useful in verifying if endpoints are on conformity with IT policies, which in turn can help prevent such vulnerabilities and keep a check on networks.

Troubleshooting and minimizing time-to-resolution

Data can be utilized to develop a holistic picture of network endpoints, ensuring the helpdesk process is more competent. By offering deeper insight into networks, big data allows technicians to locate root causes behind ongoing issues instead of focusing on recurring symptoms. The direct effect of this is an increase in first-call-resolution. It also helps technicians to better diagnose user problems.

Better end-user experience

Having in-depth knowledge about all the devices of a network means that technicians don’t have to control an end-user’s system to solve the issue. Also, this enables the user to continue working uninterrupted while the technician takes care of the problem from behind-the-scene. Thus, IT can offer a remedy even before the user recognizes there’s a problem. For example, a team engaged in collection of network data may notice that few devices need to be updated, which they can perform remotely.

Better personalization without damaging control

IT teams have always found it difficult to manage provisioning models, like BYOD (bring your own device) and COPE (corporate owned, personally enabled). But with the help of big data, IT teams can divide end users based on their job roles and also support the various provisioning models without compromising with control. Moreover, they constantly receive feedback, allowing them keep to a check on any form of abuse, unwanted activities and any changes in the configuration of a system.

Concluding:

In short, the organization as a whole benefits from data-directed remote support. IT departments can improve on their delivery service as well as enhance end-user experience. It gives users more flexibility, but doesn’t hamper security of IT teams. Hence, in this age of digital revolution, data-driven remote support can be a powerful weapon to improve a company’s performance.

Knowing how to handle big data is the key to success in all fields of work. That being said, candidates seeking excellent Big Data Hadoop training in Gurgaon should get in touch with DexLab Analytics right away! This big data training center in Delhi NCR offer courses with comprehensive syllabus focused on practical training and delivered by professionals with excellent domain experience.

Reference: https://channels.theinnovationenterprise.com/articles/how-big-data-is-improving-remote-it-support

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Big Data and Its Use in the Supply Chain

Posted on February 18, 2019May 23, 2020 by Dexlab

Big Data and Its Use in the Supply Chain

Data is indispensable, especially for modern business houses. Every day, more and more businesses are embracing digital technology and producing massive piles of data within their supply chain networks. But of course, data without the proper tools is useless; the emergence of big data revolution has made it essential for business honchos to invest in robust technologies that facilitate big data analytics, and for good reasons.

Quality Vs Quantity

The overwhelming volumes of data exceed the ability to analyze that data in a majority of organizations. This is why many supply chains find it difficult to gather and make sense of the voluptuous amount of information available across multiple sources, processes and siloed systems. As a result, they struggle with reduced visibility into the processes and enhanced exposure to cost disruptions and risk.

To tackle such a situation, supply chains need to adopt comprehensive advanced analytics, employing cognitive technologies, which ensure improved visibility throughout their enterprises. An initiative like this will win these enterprises a competitive edge over those who don’t.

Predictive Analytics

A striking combination of AI, location intelligence and machine learning is wreaking havoc in the data analytics industry. It is helping organizations collect, store and analyze huge volumes of data and run cutting edge analytics programs. One of the finest examples is found in drone imagery across seagrass sites.

Thanks to predictive analytics and spatial analysis, professionals can now realize their expected revenue goals and costs from a retail location that is yet to come up. Subject to their business objectives, consultants can even observe and compare numerous potential retail sites, decrypting their expected sales and ascertain the best possible location. Also, location intelligence helps evaluate data, regarding demographics, proximity to other identical stores, traffic patterns and more, and determine the best location of the new proposed site.

The Future of Supply Chain

Talking from a logistic point of view, AI tools are phenomenal – IoT sensors are being ingested with raw data with their aid and then these sensors are combined with location intelligence to formulate new types of services that actually help meet increasing customer demands and expectations. To prove this, we have a whip-smart AI program, which can easily pinpoint the impassable roads by using hundreds and thousands of GPS points traceable from an organization’s pool of delivery vans. As soon as this data is updated, route planners along with the drivers can definitely avoid the immoderate missteps leading to better efficiency and performance of the company.

Moreover, many logistics companies are today better equipped to develop interesting 3D Models highlighting their assets and operations to run better simulations and carry a 360-degree analysis. These kinds of models are of high importance in the domain of supply chains. After all, it is here that you have to deal with the intricate interplay of processes and assets.

Conclusion

Since the advent of digital transformation, organizations face the growing urge to derive even more from their big data. As a result, they end up investing more on advanced analytics, local intelligence and AI across several supply chain verticals. They make such strategic investments to deliver efficient service across the supply chains, triggering higher productivity and better customer experience.

With a big data training center in Delhi NCR, DexLab Analytics is a premier institution specializing in in-demand skill training courses. Their industry-relevant big data courses are perfect for data enthusiasts.

The blog has been sourced from ― www.forbes.com/sites/yasamankazemi/2019/01/29/ai-big-data-advanced-analytics-in-the-supply-chain/#73294afd244f

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Big Data to Cure Alzheimer’s Disease

Posted on February 13, 2019May 23, 2020 by Dexlab

Big Data to Cure Alzheimer’s Disease

Almost 44 million people across the globe suffer from Alzheimer’s disease. The cost of the treatment amounts to approximately one percent of the global GDP. Despite cutting-edge developments in medicine and robust technology upgrades, prior detection of neurodegenerative disorder, such as Alzheimer’s disease remains an upfront challenge. However, a breed of Indian researchers has assayed to apply big data analytics to look for early signs of the Alzheimer’s in the patients.

The whip-smart researchers from the NBRC (National Brain Research Centre), Manesar have come up with a fierce big data analytics framework that will implement non-invasive imaging and other test data to detect diagnostic biomarkers in the early stages of Alzheimer’s.

The Hadoop-powered data framework integrates data from brain scans in the format of non-invasive tests – magnetic resonance spectroscopy (MRS), magnetic resonance imaging (MRI) and neuropsychological test results – by employing machine learning, data mining and statistical modeling algorithms, respectively.

The framework is designed to address the big three Vs – Variety, Volume and Velocity. The brain scans conducted using MRS or MRI yields vast amounts of data that is impossible to study manually or analyze data of multiple patients to determine if any pattern is emerging. As a result, machine learning is the key. It boosts the process, says Dr Pravat Kumar Mandal, a chief scientist of the research team.

To know more about the machine learning course in India, follow DexLab Analytics. This premier institute also excels in offering state of the art big data courses in Delhi – take a look at their course itinerary and decide for yourself.

The researchers are found using data about diverse aspects of the brain – neurochemical, structural and behavioural – accumulated through MRS, MRI and neuropsychological mediums. These attributes are ascertained and classified into collectives for clear diagnosis by doctors and pathologists. The latest framework is regarded as a multi-modalities-based decision framework for early detection of Alzheimer’s, clinicians have noted in their research paper published in journal Frontiers in Neurology. The project has been termed BHARAT and has been dealing with the brain scans of Indians.

The new framework integrates unstructured and structured data, processing, storage, and possesses the ability to analyze volumes and volumes of complex data. For that, it leverages the skills of parallel computing, data organization, scalable data processing and distributed storage techniques, besides machine learning. Its multi-modal nature helps in classifying between healthy old patients with mild cognitive impairment and those suffering from Alzheimer’s.

Other such big data tools for early diagnostics are only based on MRI images of patients. Our model incorporates neurochemical-like antioxidant glutathione depletion analysis from brain hippocampal regions. This data is extremely sensitive and specific. This makes our framework close to the disease process and presents a realistic approach,” says Dr Mandal.

As endnotes, the research team comprises of Dr Mandal, Dr Deepika Shukla, Ankita Sharma and Tripti Goel, and the research is supported by the adept Ministry of Department of Science and Technology. The forecast predicts the number of patients diagnosed with Alzheimer is expected to cross 115 million-mark by 2050. Soon, this degenerative neurological disease will pose a huge burden on the economies of various countries; hence it’s of paramount importance to address the issue now and in the best way possible.

The blog has been sourced from — www.thehindubusinessline.com/news/science/big-data-may-help-get-new-clues-to-alzheimers/article26111803.ece

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Top 3 Reasons to Learn Scala Programming Language RN

Posted on January 15, 2019May 23, 2020 by Dexlab

Top 3 Reasons to Learn Scala Programming Language RN

Highly scalable general-purpose programming language, Scala is a wonder tool for newbie developers as well as seasoned professionals. It provides both object-oriented and functional programming assistance. The key to such wide level popularity of Scala lies in the sudden explosive growth of Apache Spark, which is actually written in Scala – thus making later a powerful programming language best suited for machine learning, data processing and streaming analytics.

Below, we have enumerated top three reasons why you should learn Scala and tame the tides of success:

For Better Coding

The best part is that you would be able to leverage varied functional programming techniques that will stabilize your applications and mitigate challenges that might arise due to unforeseen side effects. Just by shifting from mutable data structures to immutable ones, and from traditional methods to purely functional strategies that have zero effect on their environment, you can stay rest assured that your codes would be more stable, safer and easy to comprehend.

Inarguably, your code would be simple and expressive. If you are already working on languages, such as JavaScript, Python or Ruby, you already know about the power of a simple, short and expressive syntax. Hence, use Scala to shed unnecessary punctuations, explicit types and boilerplate code.

What’s more, your code would support multiple inheritance and myriad capabilities, and would be strongly-typed. Also, in case of any incompatibilities, it would be soon caught even before the code runs. So, developers in both dynamic and statically typed languages should embrace Scala programming language – it ensures safety with performance along with staying as expressive as possible.

To Become a Better Engineer

He who can write short but expressive codes as well as ensure a type-safe and robust-performance application is the man for us! This breed of engineers and developers are considered immensely valuable, they impress us to the core. We suggest take up advanced Scala classes in Delhi NCR and take full advantage of its high-grade functional abilities. Not just learn how to deliver expressive codes but also be productive for your organization and yourself than ever before.

Mastering a new programming language or upgrading skills is always appreciable. And, when it comes to learning a new language, we can’t stop recommending Scala – it will not only shape your viewpoint regarding concepts, like data mutability, higher-order functions and their potential side effects, but also will brush your coding and designing skills.

It Enhances Your Code Proficiency

It’s true, Scala specialization improves your coding abilities by helping you read better, debug better and run codes pretty faster. All this even makes you write codes in no time – thus making you proficient, and happy.

Now, that you are into all-things-coding, it’s imperative to make it interesting and fun. Scala fits the bill perfectly. If you are still wondering whether to imbibe the new-age skill, take a look at our itinerary on advanced Scala Training in Delhi displayed on the website and decide for yourself. The world of data science is evolving at a steadfast rate, and it’s high time you learn this powerful productive language to be on the edge.

The blog has been sourced from – www.oreilly.com/ideas/3-simple-reasons-why-you-need-to-learn-scala

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Top Things to Know About Scala Programming Language

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

Top Things to Know About Scala Programming Language

Scalable Language, Scala is a general-purpose programming language, both object-oriented and highly functional programming language. It is easy to learn, simple and aids programmers in writing codes in a simple, sophisticated and type-safe manner. It also enables developers and programmers in being more productive.

Even though Scala is a relatively new language, it has garnered enough users and has wide community support – because it’s touted as the most user-friendly language.

About Scala and Its Features

Scala is a completely object-oriented programming language

In Scala, everything is treated as an object. Even, the operations you conduct are termed as a method call. Scala lets you add new operations to already existing classes – thanks to the implicit classes.

One of the best things about Scala is that it makes it effortlessly easy to interact with Java code. You can easily write a Java code inside Scala class – interesting, isn’t it? The Scala makes way for hi-tech component architectures with the help of classes and traits.

Scala is a functional language

No wonder, Scala has implemented top-notch functional programming concepts – in case you don’t know, in functional programming, each and every computation is regarded as a mathematical function. Following are the characteristics of functional programming:

Simplicity
Power and flexibility
Suitable for parallel processing

Not interpreted, Scala is a compiler-based language

As Scala is a compiler based language, its execution is relatively faster than its tailing competitor, Python. The latter is an interpreted language. The compiler in Scala functions just like a Java compiler. It taps the source code and launches Java byte-code that’s executable across any standard JVM (Java Virtual Machine).

Pre-requisites for Mastering Scala

Scala is a fairly simple programming language and there are minimal prerequisites for learning it. If you possess some basic knowledge of C/C++, you can easily start acing Scala. As it is developed upon Java, the fundamental programming functions of Scala are somewhat similar to Java.

Now, if you happen to know about Java syntax or OOPs concept, it would prove better for you to work in Scala.

Basic Scala Terms to Get Acquainted With

Object

An entity which consists of state and behavior is defined as an Object. Best examples – person, table, car etc.

Class

Described as a template or a blueprint for designing different objects that reflects its behavior and properties, a Class is a widely popular term.

Method

It is reckoned as a behavior of a class, where a class may include one or more methods. For example, a deposit can be reckoned as a method of bank class.

Closure

It is defined as any function that ends within the environment in which it’s defined. A closure return value is determined based on the value of one or more variables declared outside the closure.

Traits

These are used to determine object types by mentioning the signature of the supported methods. It is similar to a Java interface.

Things to Remember About Scala

Scala is case sensitive
When saving a Scala program, use “.scala”
Scala execution process begins from main() methods
Never can an identifier name start with numbers. For an instance, the variable name “789salary” is not valid.

Now, if you are interested in understanding the intricacies and subtle nuances of Apache Spark in detail, you have to enroll for Scala certification Training Gurgaon. Such intensive Scala training programs not only help you master the programming language but ensure secure placement assistance. For more information, reach us at DexLab Analytics, a premier Scala Training Institute in Gurgaon.

The blog has been sourced from ― www.analyticsvidhya.com/blog/2017/01/scala

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India and Big Data Analytics: The Statistics and Facts

Posted on November 24, 2018May 23, 2020 by Dexlab

India and Big Data Analytics: The Statistics and Facts

Data science, big data and analytics industry in India is expected to experience 8X growth hitting $16 billion by 2025 from the current $2 billion, experts say. Out of the terrific annual inflow to the analytics industry, nearly 11% can be ascribed to advanced analytics, data science and predictive analytics and a substantial 11% to big data.

In the next seven years, the Indian analytics industry will expand its horizons further and demand more analytics professionals to join the data bandwagon. Separately, the BI and analytics software market revenue in India will touch Rs 1980 crore in 2018, increasing at a rate of 18% per year. As a result, Indian companies and organizations are shifting their focus from traditional data reporting to augmented analytics tools that will not only enhance the process of data preparation and evaluation but will help predict the future outcomes, successfully.

Trends in Analytics

Several sectors across the Indian industry of companies and startups have started embracing data analytics – no wonder, the data analytics landscape in India is growing rapidly, so is the revenue generation.

Contemporary, architecture-oriented data analytics tools are the order of the day. Rightfully so, the companies and budding startups are replacing tactical and traditional data analytics programs for more strategic approaches. The current breed of fast followers is even seeking hefty investments in advanced analytical solutions powered by AI, ML and Deep Learning. It would lessen the time taken to market and sharpen analytics offerings. Focused data management is bringing forth a rapid shift to the hybrid and cloud data management scenario – through iPaaS (Integration Platform as a Service) tools. Data lakes and hubs are also emerging here and there. They are in demand for ingesting and administering multi-structured data. Nevertheless, a lack of talent pool will cost the industry immensely. It can be a major deterring factor towards their seamless adoption.

It’s about time to be data-smart with an excellent data analyst certification from the experts. Headquartered in Delhi, DexLab Analytics is one of the prime data analyst training institutes that will help you stay ahead of the curve, especially data curve!

Statistics of Data Analysis

Geographically speaking, more than 64% of revenue generated from data analytics in India comes from the USA. We are a leading exporter of data analytics to the US, taking figures to as high as $1.7 billion. In the FY18 alone, the revenue generation from the US has increased by 45%. Next, ranks the UK with 9.6% revenue generation. Technically, analytics revenue generation in India has almost doubled from last year – in terms of countries Poland, UAE, New Zealand, Belgium, Romania & Spain. Furthermore, Indian analytics firms are not left far behind in the data game – they contribute 4.7% of analytics revenues to Indian analytics market.

Well, it seems India is doing pretty good in terms of adopting cutting data analytics technology and reaping fetching benefits. If interested in data analytics, don’t stay behind. Reach us at DexLab Analytics and throw your queries right away.

The blog has been sourced from ― www.dqindia.com/india-analyzes-big-data-science-analytics-market-india

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