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The role of Big Data Analytics in the World of Media and Entertainment

The role of Big Data Analytics in the World of Media and Entertainment

A reverberating revolution is on the go in the media industry. Reason: thorough digitization and data-driven marketing.

A seamless amalgamation between digital and analytical solutions is transforming versatile media platforms across the globe. Not only does it help in curating more personalized content for its niche audiences, but also bolsters newer capabilities, such as master data management for digital assets and improved customer engagement programs.

Is Big Data Big Enough?

Facebook gathers and processes more than 500 TB of data every day.

Google processes 3.5 billion requests every day.

Amazon records 152 million customer purchase data every day.

With the rise of digitization, media and entertainment companies are leveraging big data technology like no other for better customer engagement.

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Here are a few examples showing how media companies are using the power of big data:

In predicting audience preference

Large chunks of data helps in predicting and understanding the demand of audiences – right from the genre of shows and music they like to content selection for a given age group or for different channels.

Better acquisition and retention

Any day, big data help to fathom the reasons why consumers subscribe or unsubscribe a particular channel. It aids companies in developing robust promotional and product strategies to attract and retain more loyal user base. Social media data also lend a helping hand to enhance consumer interest.

Content revenue generation and new product development

With the power of accurate and productive data, media houses incentivize consumer behavior and while doing so, they understand the true market value of the content generated.

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How Media Uses Data Anaytics?

Netflix

Netflix assimilates large chunks of viewership data, with which it performs an in-depth analysis of viewer’s behavior for millions of viewings of shows. The analysts conduct thorough research on the attributes and qualities of data about consumers to know which show is the most popular. This analysis also helps them know how long viewers are watching a program or season or any individual show. Hence, in this way it outbids its competitors and owns rights to showcase blockbuster hits.

Bollywood

Talking about our very own Bollywood, SRK’s Chennai Express used big data and analytics to boost social media presence and digital marketing endeavors. And, no wonder, it smashed the box office records of 2013. It became such a raging success that the IT services company Persistent Systems released a statement saying, “Chennai Express related tweets generated over 1 billion cumulative impressions and the total number of tweets across all hashtags was over 750 thousand over the 90-day campaign period.”

This is a single instance. Many other bigwig producers have time and again collaborated with cutting edge big data analytics firms to better understand consumer trends and drive customer engagement.

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Conclusion

Big Data is a surefire boon for media and entertainment houses; it helps companies to solve crucial questions about consumers, things they like, content they feed in, and shows they treasure. Moreover, it aids in tracking clicks, shares and views across multiple devices and media platforms.

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Big Data, Hadoop and Cloud: The Looming Challenges and How to Peg Them?

Big Data, Hadoop and Cloud: The Looming Challenges and How to Peg Them?

Data is regarded as the “new oil” in the industry – though you can’t fill your car’s gas tank with binary digits, but yes, you can definitely think of driving an autonomous car with data. Self-driven cars are a reality now!

About 10 years ago, with the advent of big data hype, organizations, big and small joined the bandwagon involving data so as not to miss out the ‘next big thing’. The whole thing started with the ‘data land grab’ phase. Next came the delineation phase, in which industry started chalking out clearly big data boundaries and where it has to be applied. After this, we have moved into an efficiency phase – whereby we extract the maximum out of data by merging right expertise with the right technology.

Notwithstanding all the exciting stuffs surrounding big data, many challenges have even come out during the delineation phase and they still continue to cripple company functioning. So, here we will talk about the challenges faced and ways to tackle them…

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Big Data Challenges

Now, it’s the time for humongous volumes of unstructured data – companies have as a result shifted their focus from traditional big data storage solutions to more agile, cost-efficient open source strategies like Spark and Hadoop. Navigating through a turbulent sea of big data tools is another daunting task in itself, so here we will address the issue of Hadoop challenges only.

Though Hadoop has solved a multitude of data problems, yet its implementation and management is a difficult task, and ends up causing more problems than doing good. Also, scaling Hadoop on premise is a taxing procedure, involving a lot more investment in physical infrastructure – for this, many companies are turning towards cloud-based Hadoop solutions because they are agile and less complicated to use.

Cloud Migration Challenges

Cloud-based solutions help companies maneuver in a more agile manner, while enhancing their data needs. This acts as a robust solution to the issue of adding more on-prem infrastructure over time, but as it’s said, there’s no gain without pain – migrating data analytics to a purely cloud infrastructure has its own cons.

The biggest challenges associated with cloud network are related to reliability, performance, scalability and accessibility of data. Data security also remains a matter of concern – a handful number of recent high-profile data breaches have made us vulnerable, while showing on our face how less protected we are in the digital world.

How To Tackle the Emerging Challenges?

Think beyond today! Companies need to make their headstrong big data solutions future proofed, because no one likes to do the same thing again and again in a time span of two-three years. If you are incorporating steady solutions today, make sure they stay in practice for the coming 5-10 years or so.

As we have mentioned earlier, Hadoop implementation and management is not as easy as it sounds, and gaining access to a deft pool of experts who understands the intricacies of Hadoop has become the need of the hour. This means, make sure you choose the right internal talent pool and work with uber talented experts.

Now, when it comes to ensuring data security over cloud infrastructure, make sure you think beyond the perimeter security, focus on identifying sensitive data, both structured and unstructured and then secure it in a Hadoop lake just the way it’s ingested. This will help you closely monitor cloud data sources and check violations right from the start.

Join DexLab Analytics data analyst certification and stand a chance of making a successful career as a data scientist. After all, enrolling in India’s best data analyst training institute in Delhi NCR will surely help you master the art of data science.

 

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3 Ways to Increase ROI with Data Science

3 Ways to Increase ROI with Data Science

In 2018, companies have decided to invest $3.7 trillion on machine learning and digital transformation so as to embrace a promising return on that sizeable investment for professionals involved in managerial roles. Nevertheless, 31% of the companies using the potent tools of machine learning and data science are not yet tracking their ROI or are in no mood to do so in the near future.

But to be on the side, ROI is very crucial for any business success – if you fail to see the ROI you expect from data science implementation, look into bigger and complex processes at work – and adjust likewise.

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Take cues from these 3 ways, explained below:

Implementing data science strategy into C-Suite

According to Gartner, by next year 90% of big companies would hire a Chief Data Officer, a promising role that was almost nonexistent a few years ago. Of late, the term C-Suite is gaining a lot of importance – but what does it mean? C-Suite basically gets its name from a series of titles of top level executives who job profile name starts with the letter C, like Chief Executive Officer, Chief Financial Officer, Chief Operating Officer and Chief Information Officer. The recent addition of CDO to the C-Suite has been channelized to develop a holistic strategy towards managing data and unveil new trends and opportunities that the company has been attempted to tab for years.

The core responsibility of a CDO is to address a proper data management strategy and then decode it into simple, implementable steps for business operations. Its prime time to integrate data science into bigger processes of business, and soon company heads are realizing this fact and working towards it.

Your time and resources are valuable, don’t waste them

Before formulating any strategy, CDOs need to ensure the pool of professionals working with data have proper access to the desired data tools and support or not. One common problem that persists is that the data science work that takes place within an organization is done on silo, and therefore remains lost or underutilized. This needs to be worked out.

Also, besides giving special attention on transparency, data science software platforms are working towards standardizing data scientists’ efforts by limiting their resources for a given project, thereby ensuing cost savings. In this era of digitization, once you start managing your data science teams efficiently, half the battle is won then and there.

Stay committed to success

Implementing a sophisticated data science model into production process can be a challenging, lengthy and expensive process. Any kind of big, complicated project will take years to get completed but once they do, you expect to see the ROI you desire from data science but the journey might not be all doodle. It will have its own ups and downs, but if you stay committed and deploy the right tools of technology, better outcome is meant to happen.

In a nutshell, boosting of ROI is crucial for business success but the best way to trigger it would be by getting a bird’s eye view of your data science strategy, which will help in predicting success accurately and thus help taking ROI-supported decisions.

If you are looking for a good data analyst training institute in Delhi NCR, end your search with DexLab Analytics. Their data analyst certification is student-friendly and right on the point.

 

Interested in a career in Data Analyst?

To learn more about Data Analyst with Advanced excel course – Enrol Now.
To learn more about Data Analyst with R Course – Enrol Now.
To learn more about Big Data Course – Enrol Now.

To learn more about Machine Learning Using Python and Spark – Enrol Now.
To learn more about Data Analyst with SAS Course – Enrol Now.
To learn more about Data Analyst with Apache Spark Course – Enrol Now.
To learn more about Data Analyst with Market Risk Analytics and Modelling Course – Enrol Now.

Why Your Business Needs a Chief Productivity Officer: 5 Reasons Explained

For smooth use of technology, businesses look forward to CIOs. But that’s so passé now. This position is now losing its relevance more and more, as other notable features like migration of business applications and storage on the cloud are enhancing their capabilities.

 
Why Your Business Needs a Chief Productivity Officer: 5 Reasons Explained
 

As such, a new business position: Chief Productivity Officer (CPO) is sprouting out – this job profile dictates all the services, while ensuring your organization meets every goal.

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How Data Scientists are Merging Professional and Personal Resolutions for a Career Boost in 2018

The beginning of a year comes with a wide stream of promises! Some decide to work on their physique, while others look forward to visit a new country, but budding data scientists are found thinking of something else.

How Data Scientists are Merging Professional and Personal Resolutions for a Career Boost in 2018

Here goes a chart down of what goes on in a mind of a data scientist, who could stare for hours at the computer screen pondering which code or query to run…

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Data Governance: How to Win Over Data and Rule the World

Data is the buzzword. It is conquering the world, but who conquers data: the companies that use them or the servers in which they are stored?

 

Data Governance: How to Win Over Data and Rule the World

 

Let’s usher you into the fascinating world of data, and data governance. FYI: the latter is weaving magic around the Business Intelligence community, but to optimize the results to the fullest, it needs to depend heavily on a single factor, i.e. efficient data management. For that, highly-skilled data analysts are called for – to excel on business analytics, opt for Business Analytics Online Certification by DexLab Analytics. It will feed you in the latest trends and meaningful insights surrounding the daunting domain of data analytics.

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Architecture Trade-offs Pays Well for Enterprise Analytics

Today, owing to an explosion of technology options, determining which analytics stack to adopt takes into account a streak of architectural trade-offs. Over the years, with our experience and expertise we have learnt the most crucial aspect of creating sound analytics systems and pleasing customers with improved digital solutions – is the location where data is to be stored and processed, and the different types of databases to use so that only the right people gain access to it.

Architecture Trade-offs Pays Well for Enterprise Analytics

Opt for a comprehensive data analyst course Delhi NCR from DexLab Analytics.

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How Careers in Tech is Getting Influenced Due to CryptoCurrency Revolution

Cryptocurrency is the new in-thing that is creating a lot of buzz in the tech world. And though your friends and family might be hearing all good things about Bitcoin, you will be surprised to know – it’s creating job. Yes, you heard it right – cryptocurrency is exploding the job market. From startups to blue chip companies, everyone is talking about the perks of blockchain and what it potentials it holds for future.

 
How Careers in Tech is Getting Influenced Due to CryptoCurrency Revolution

Job trends to follow

Going by the reports uploaded by job search site Indeed, job postings for bitcoin, blockchain and cryptocurrency have increased by more than 620% since November 2015. In fact, the search ratios for such jobs have also increased by 1065%, suggesting supply is expanding along with demand.

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Researchers Peer into the Hood of Computational Linguistics

Researchers Peer into the Hood of Computational Linguistics

 

To start, give a look at these two sentences:

“This house is in a detestable location.”

“This detestable house is in this location.”

 

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

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