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How Data is Found Influencing Political Campaigns Online

Posted on March 31, 2018May 23, 2019 by Dexlab

Data is and has always been the heart and blood of politics. In the 21^st century, digital transformation has hit politics hard. Ambitious politicians and lobbyists invest hundreds of dollars on framing potential campaigns and agendas: in the past US presidential elections, as much as $5 billion dollars was spent, if not less, out of which estimated $1 billion was set aside for digital advertising alone.

Online information has already started weaving a change in perspective of people. They tend to manipulate us. Few are even of the notion that big data is being used to develop customized political advertising that challenges our rational minds and change our voting pattern. But do you think it’s true? Can data have that kind of intense impact?

Cambridge Analytica Data Breach

In the wake of Facebook and Cambridge Analytica data breach, where data of 50 million Facebook users were compromised, a compelling issue of data safety and protection has come to the forefront of our conscience. Cambridge Analytics is a British political consulting firm that works by integrating data mining, data analysis and brokerage with strategic communication for successful electoral processes.

A recent terrifying revelation suggested that this company has used Facebook users’ confidential data to predict personalities and then tailor personalized advertizing according to their psychological attributes. For years, this company has been performing data analysis services strategizing various presidential campaigns for US and UK. This March, the data analytics firm has been alleged to have harvested information from more than 50 million Facebook users without their knowledge to build a system for targeting US voters. The employees of the firm were also found boasting about using fake news, fabricated sex scandals and cheap tricks to swing electoral campaigns across the globe and this has created a big uproar in the industry.

From this, anyone can fathom the power of data in politics and framing opinions. Digital technologies have become a powerful tool for both positive and negative change. Technology remains remote, pivotal and paternalist. The political systems are changing, and so are we. That’s why it’s high time for all of us to be cautious, prudent and have a voice of our own.

How to Enhance Online Campaign Success Legally

While social media scores high, email actually pulls the reigns, when it comes to raising funds for political campaigns online.

Mitt Romney’s 2012 campaign revealed about 70% donations came through emails.

During the Obama campaign, the figures were as high as 90% to be precise.

Besides raising funds online via email, integration of myriad digital marketing channels with smart data is crucial to rally in unconditional support on behalf of candidates.

Here are ways to boost your online campaign success:

Mobile ads – Increase relevancy for micro-targeted audience
Actionable TV – Using set-top-box information, particular demographics has to be targeted
Retargeting – Targeting should be focused on historical donors, interested in your policies
SEO decisions – Upload content suitable for the target audience and improve search rankings
Email messages – it would segment your lists while enhancing campaign results

To put simply, better data yields positive results for political campaigns, along with supporting fundraising, awareness and presence. However, remember, not all data is clean and safe and not all data providers are credible and honest. Watch the news, join the drive, but stay true to your opinions and insights. They will never fail you.

Get trained by the experts from DexLab Analytics on big data hadoop. It’s a premier data analytics training institute in Delhi NCR that offers incredible big data training to the students.

The article has been sourced from:

https://www.theguardian.com/commentisfree/2017/mar/06/big-data-cambridge-analytica-democracy

https://webbula.com/how-data-helps-political-campaigns-succeed

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How Data Analytics Is Shaping and Developing Improved Storage Solutions

Posted on March 16, 2018May 23, 2020 by Dexlab

Technology has penetrated deep into our lives – the last 5 decades of IT sector have been characterized by intense development in electronic storing solutions for recordkeeping.

Today, every file, every document is stored and archived safely and efficiently – rows of data are tabled in spreadsheets and stored in SQL relational databases for smooth access anytime by anyone, of course the authorized persons. Data is omnipresent. It is being found in data warehouses, data lakes, data mines and in pools. It is so much large in volume nowadays, that it can even be calculated in something like a Brontobyte.

Information is power. Data stored in archives are used to make accurate forecasts. And the data evaluation has begun within a subset of mathematics powered by a discipline named probability and statistical analysis.

Slowly, this discipline evolved into Business Intelligence that further into Data Science. The latter is the most sought after and well-paid career option for today’s tech-inspired generation. Grab a data science certification in Gurgaon and push your career to success.

Big Data Storage Challenges and Solutions

The responsibility of storage, ensuring security and provide accessibility for data is huge. Managing volumes and volumes of data is posing a challenge in itself – for example, even powering and cooling enough HDD RAID arrays to keep an Exabyte of raw data tends to break the bank for many companies.

Software-defined storage and flash devices are being deployed for big data storage. They promise of better direct business benefit. Also, increasingly Apache Spark Hadoop or simply Spark is taking care of the software side of big data analytics. Whether your big data cluster is developed on these open-source architectures or some other big data frameworks, it will for sure impact your storage decisions.

Hadoop is in this business of storage for big data for quite some time now. It is a robust open-source framework opted for suave processing of big data. It led to the emergence of server clusters and Facebook is known to have the largest Hadoop cluster containing millions of nodes.

Now, the question remains where and how you proceed with Hadoop – there are so many differing opinions about how you approach Hadoop clusters, at times it may leave you exasperated. For that, we can help you here.

With a huge array of data at play, we suggest to deploy a dedicated processing, storage and networking system in different racks to avoid latency or performance issues. It is for the same reasons, we ask you to stay away running Hadoop in a virtual environment.

Instead, implement HDFS (Hadoop Distributed File System) – it is perfect for distributed storage and processing with the help of commodity hardware. The structure is simple, tolerant, expandable and scalable.

Besides, the cost of data storage should also be given a look at – cost should be kept low and data compression features should likely to be implemented.

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The Takeaway

Times are changing, and so are we. Big data analytics are becoming more real-time, hence better you scale up to real-time analytics. Today, data analytics have gone way beyond the conventional desktop considerations – it has now become a lot more, and to keep pace with the analytics evolution, you need to have sound storage infrastructure, where possible upgrades to computing, storage and networking is easily available and implementable.

To answer about big data or Hadoop, power yourself up with a good certification in Big Data Hadoop from DexLab Anlaytics – such intensive big data courses do help!

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How Big Data Will Impact E-commerce Industry in 2018?

Posted on March 15, 2018May 23, 2020 by Dexlab

Whatever happens online and offline, it’s because of DATA. As the technology evolves, the ways to gather and measure data also diversifies. The best way to grasp the data world mechanisms is to study and analyze trends in behavior.

Big data is a concentrated accumulation of conventional and digital data from within and outside company operations. The inception of big data has enabled businesses to use huge amounts of data to carry out bigger and more complicated analyses.

However, the pressing issue that people face today is that they have “too much” data – collecting, organizing and understanding data has become quite complicated because we now are inundated with ceaseless numbers, percentages, stats, facts and perceptions.

To be precise, for years, Big Data has been buzzing around the digital front – let’s delve into what it actually means and what promises it holds in 2018 for ecommerce…

E-commerce industries are the biggest consumers of data. They can extract any information from Big Data and predict customer behavior and streamline robust operations.

Here are 4 ways in which big data will change the shape of e-commerce in 2018:

Better shopper analysis

For online success, understanding shopper’s behavior is more than important. Harness big data; it offers information on trends, customer choices and spikes in demands. It is the key to successful marketing.

Throughout this year and more, big data analytics will continue tracking shopper behaviors and fine-tuning your marketing strategies based on that.

Flawless customer service

Figures regarding dissatisfied customers and frail customer service are alarming. Truly speaking, more than 90% of unhappy customers won’t like to do business with a company that has turned their expectations down, owing to poor customer service. Therefore, for ecommerce success, utmost focus on customer service is downright important.

This year, expect data analytics to improve customer experience, while giving more focus to predictive monitoring. This will aid companies in identifying crucial issues and resolve them before even a customer gets involved.

More secure and easy online payment options

Since big data came into our lives, several things, like online payments got easier and more secure. How?

Big data incorporates various payment functions in a single centralized platform. It helps in making the process easier, as well as reduces fraud risks.
The advanced analytics are powerful enough to identify threats and structure proactive solutions to combat potent risks.
Big data helps in detecting money laundering transactions.
Productive data analytics allows e-commerce chains to cross sell and upsell.

Mobile commerce evolution

Day by day, the use of smartphones is increasing. The use of desktop computers is soon becoming obsolete. Big data is making impossible things possible, especially in the world of smartphones and ecommerce. Companies can now very easily gather data from multiple sources and analyze customer trends through mobile technology. Google has pioneered a wave of technologies, giving preference to mobile friendly and highly responsive sites. They bring in higher traffic to their pages. Hence an instant hit!

As closing thoughts, ecommerce companies wholeheartedly thanks Big Data for the way it has simplified the process of online shopping. For more big data inspiration and blogs, follow DexLab Analytics.

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The article has been sourced from – http://dataconomy.com/2018/02/5-ways-big-data-analytics-will-impact-e-commerce-2018/

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Incorporating Hadoop into Adobe Campaign for Advanced Segmentation and Personalization

Posted on February 28, 2018September 13, 2019 by Dexlab

Big data is the new CRAZE. Reports suggest that investments in big data have surpassed $57 billion in 2017, and are expected to rise by 10% for the next three years.

Customers are happy – those who have applied advanced capabilities to predictive analytics, machine learning, customer analytics, customer profiles, inventory management and tracking, and more – as big data implementation across many verticals has resulted in measurable positive results.

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Top 6 Big Data Trends for 2018

Posted on December 12, 2017May 23, 2020 by Dexlab

Big data is expanding, and by next year almost a majority of businesses will be attracted towards the brighter prospect of this cutting edge technology. Even this year saw an enormous increase in volume, variety, velocity of data, which assures that the next year will witness more data, more numbers.

Data science pundits have predicted some of the leading trends that would be in the forefront in the big data revolution 2018. Come, let’s take a look:

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For Long-term Digital Transformation Plan, Big Data is the Key

Posted on December 6, 2017December 6, 2017 by Dexlab

Big data and business analytics are like two sides of the same coin. Here, though the coin represents digital transformation – but reports from consulting and services firm HCL Technologies are pointing that many companies are not being able to harness these new-age technologies to their fullest capacities resulting in a loss of digital transformation efforts.

When asked Anand Birje, the corporate vice president and head of HCL’s digital and analytics domain, he has this to say, “Over the past four or five years, enterprises were pushed hard to do anything in the field of analytics, big data and digital transformation. They were being pushed because there was this fear about what their competitors might be doing, so there was this feeling that they had to do something digital.”

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Here’s ALL About Global Hadoop Market and Investment Report 2017

Posted on November 28, 2017May 23, 2020 by Dexlab

According to a market research report, Global Hadoop market – industry analysis, share, size, growth, trends and forecast, which was once estimated at a value worth USD 1.5 billion in 2012, is now expected to hit $13.95 Billion mark this year, 2017 with a CAGR of 54.9%.

The advent of Hadoop platform stemmed out from the growing urge to manage problems that resulted owing to a lot of data – mostly a concoction of structured and unstructured data – that failed to fit properly in the traditional data storage and management systems, like tables. The play of analytics got intense, more complicated – both computationally and logically – hence the need for Hadoop is more than ever. This is similar to what Google was doing while it was on an endeavor to examine its user behaviors and index web pages, with a view to enhance its own performance algorithms.

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How to Secure Big data While Harnessing Its Big Power

Posted on November 22, 2017May 23, 2020 by Dexlab

The term Big Data stands for data that is humongous. Large volumes of data are being churned out every day to meet business needs.

Business analytics is the bedrock of an organization. It uses data for proper analysis of business objectives, later on which helps in making better decisions and future profit generation. Also, it aids in determining the actual reasons of failures, re-evaluating risk portfolios, and detecting undergoing fraudulent activities before they swell up to affect business operations.

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Data Science and Machine Learning: In What State They Are To Be Found?

Posted on November 2, 2017May 23, 2020 by Dexlab

Keen to have a sweeping view of data science and machine learning as a whole?

Want to crack who is playing tricks with data and what’s happening in and around the budding field of machine learning across industries?

Looking for ways to know how aspiring, young data scientists are breaking into the IT field to invent something new each day?

Hold your breath, tight. The below report showcases few of our intrinsic findings – which we derived from Kaggle’s industry-wide survey. Also, interactive visualizations are on the offer.

On an average, data scientists fall under the age bar of 30 years old, but as a matter of fact, this age limit is subject to change. For example, the average age of data scientists from India tends to be 9 years younger than the average scientists from Australia.
Python is the most commonly used language programs in India, but data scientists at large are relying on R now.
Most of the data scientists are likely to possess a Master’s degree, however those who bags a salary of more than $150K mostly have a doctoral degree under their hood.

Who’s Using Data?

A lot of ways are there to nab who’s working with data, but in here we will fix our gaze on the demographic statistics and the background of people who are working in data science.

What is your age?

To kick start our discussion, according to the Kaggle survey, the average age of respondents was 30 years old subject to some variation. The respondents from India were on an average 9 years younger than those from Australia.

What is your employment situation?

What kind of job title you bag?

Anyone who uses code for data analysis is termed as a data scientist. But how true is this? In the vast realm of data science, there are a series of job titles that can be pegged. For instance, in Iran and Malaysia, the job title of data scientist is not so popular, they like to call data scientists by the name Scientist or Researcher. So, keep a note of it.

How much is your full-time annual salary?

While “compensation and benefits” ranked a little lower than “opportunities for professional developments”, the best part remains it can still be considered a reasonable compensation.

Check out how much a standard machine learning engineer brings home to in the US

What should be the highest formal education?

So, what’s going on in your mind? Should you get your hands on the next formal degree? Normally, most of the data scientists have obtained a full-time master’s degree, even if they haven’t they are at least data analytics’ certified. But professionals who come under a higher salary slab are more likely to possess a doctoral degree.

What are the most commonly used data science methods at work?

Largely, logistic regression is used in all the work areas except the domain of Military and Security, because in here Neural Networks are being implemented extensively.

Which tool is used at work?

Python was once the most used data analytics tool, but now it is replaced by R.

The original article can be viewed in Kaggle.

Kaggle: A Brief Note

Kaggle is an iconic platform for data scientists, allowing ample scope to connect, understand, discover and explore data. For years, Kaggle has been a diverse platform to drag in hundreds of data scientists and machine learning enthusiasts, and is still in the game.

For excellent data science certification in Gurgaon, look no further than DexLab Analytics. Opt for their intensive data science and machine learning certification and unlock a string of impressive career milestones.

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