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We Take Immense Pride in Sponsoring the Ultimate CMO Challenge – Atharva’17

We are back again with some exciting news for you! We, a team of consultants of DexLab Analytics are sponsoring Atharva – the Ultimate CMO Challenge 2017, which is to be held at the Delhi School of Economics, today.

 
We Take Immense Pride in Sponsoring the Ultimate CMO Challenge – Atharva’17
 

For detailed information, click on this link. DexLab Analytics is sponsoring “The Ultimate CMO challenge” by the Delhi School of Economics

 

The first round was held on 13th February, 2017, where an Initial Case Study was needed to be submitted online and a brief for solutions, in the form of 3-4 slides or 2-3 pages write-up was to be submitted by 19th February, 2017. The candidates who got selected were declared as shortlisted by 21st February, 2017. And within 27th February 2017, final solutions in the form of PPT (with maximum 15 slides) were submitted.

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The Story of Brontobyte: From a Small Byte to Bronto and More

This is the story of Brontobyte, and how it emerged from a single byte to the massive bronto! It all started on the year 1956, when bronto was a wee small Byte, born to parents unknown at a place undisclosed in pages of computerized history. We know however, that Bronto had a Godfather, from IBM Mr. Werner Buchholz who gave him his name ‘Byte’ in the month of July, 1956.

 
The Story of Brontobyte: From a Small Byte to Bronto and More
 

It is a funny story how Mr. Buchholz almost changed his life since the beginning by changing his name from ‘Bite’ to ‘Byte’ almost at the last minute, so, that he would not get lost in all those bits and pieces! Brontobyte must really thankful to him for doing so, this was a special bit apart from the rest of the bites, a really special – byte! So, it is safe to say that Brontobyte was born somewhere around that time in 1956. And that makes him 61 years old.

 

This is not a tale of bragging about something very usual. It is a tale truly special as you will see later in this biography of Brontobyte. Our friend byte here was born gifted in three unique angles. The first being, as it kept growing it also went on to acquire new names. Like at first, he got the name Kilobyte, this grew on to be called as megabyte etc. (You can find all the names he got in his later years at the infographic attached herein)

 

The second reason why byte is so special is because it has been growing at an exponential rate since, its birth. While most of us humans only keep growing until our 18 years of age or so, and then stop growing physically; but not our friend Bronto here.

 

And lastly, the third reason why Bronto is so special is because it has helped several other significant technologies that are completely revolutionary like the Personal Computer, the Internet, Big Data, and now IoT to have developed and grown with it. It may not be apt to say that Big Data was just Bronto’s creation, that is because Bronto lies inherently as a part of Big Data even today.

 

Here are all the names that byte received throughout its age as it grew bigger!

Byte To Brontobyte and beyond:

Image Source: api.ning.com
Image Source: api.ning.com

Some other specialities of byte are discussed here:

 

The name Yottabyte was kept after Yoda. Currently, it is difficult to say even how big Brontobyte is, it might even have become Gegobyte! You can help us by letting us know in the comments. Byte had its lifelong passion to store information. The more information it store the bigger it kept growing. In its present avatar Brontobyte can store the entire knowledge of the universe known till now.

 

An interesting thing about Brontobyte is that the more it grew the size of its houses, which have changed throughout the years, got smaller!

Here are the pictures of some of the houses byte has lived throughout his life in chronological order:

Photo Coutesy of royal.pingdom.com
Photo Coutesy of royal.pingdom.com

UNIVAC computer Drum memory

Photo Coutesy of royal.pingdom.com
Photo Coutesy of royal.pingdom.com

Hard disk drive (kept getting smaller with age)

Photo Coutesy of royal.pingdom.com
Photo Coutesy of royal.pingdom.com

Left: 250 MB hard disk drive from 1979, Right: first GB-capacity hard disk drive

Later, he mostly lived in much smaller houses that even spun around inside other places like in a Laser Disk, Floppy disk, Magnetic Tape etc. Brontobyte currently lives in a “Solid State Drive” (SSD). While it is small, but it is still very nice and quiet, exactly how it likes.

 

You can learn more about Brontobyte and its journey further with a Big Data Certification, see DexLab Analytics for details on Big Data analytics courses.

 

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The Future Is In Our Face! How Facial Recognition Will Change Marketing Innovation

big data facial recognition

Most us are taking a lot of technological marvels around us for granted these days. We have casually taken note of the things like how our smartphones now help us assign photos of people or organize them, or how Facebook usually knows the right people’s faces to tag. However, it has only happened recently, which most people have not realized, that this technology is not so much of a “cool trick” and will actually shape the way people are conducting their business endeavours.

These latest technological developments are already being tested out in several different industries and for a lot of different purposes. Like for instance, security scanners at the airports are now making use of this technology to allow the e-passport holders clear their customs faster. And with the further development in facial recognition technology, the border and customs officers will be able to recognize and weed out travellers with fake passports better.

Moreover, the facial recognition technology is now being implemented in several government facilities and businesses that require a higher level of security clearance. With the use of this technology, security professionals may easily run the real-time criminal searches with the use of CCTV footage.

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Now if you are like us, and constantly purchase things online then you must be aware of the fact that your choice and even your face must be with them in their database as a part of your customer profile. But these days, major retailers in physical stores are using intelligent data and trying to up their game to compete with the shopping sites. This will help them target customers faster and help them provide offers specifically tailored to these people based on their buying preferences just like at online stores.

We have provided Big Data training for Snapdeal, so why not target your customers better with a Big Data certification?

Furthermore, such a technology can also be used to catch shoplifters red handed in the act, a system that Walmart has actually implemented in place in many of its stores

When your face as a customer shows up for the first time on their screens they will start to build a profile of yours, which will be based on your in-store actions. Like for instance, the amount of time one spends in a certain area, the path around the store and items that you choose to buy.

Even the entertainment industry, like theme parks, casinos, etc have already caught up in the use of this technology to not only target marketing activities, but also to keep an eye on suspicious activities. And when it comes to greater applications for facial recognition, like in the industries of banking and fintech we are only just scratching the surface.

Several industry insiders have agreed that facial recognition will allow marketers to effectively know their customers much better, the visitor photos stored may work as the cookies for referencing for identification and for storage of users as well. So, this technology can soon eliminate loyalty cards as an obsolete art.

The moment one walks into a store the staff will already have an idea of what they bought there when visited the store the last time, and thanks to the camera footage with the facial recognition technology, will provide the retailers with an advantage to keep up their pace with ecommerce giants like Amazon, Flipkart, Alibaba etc.

One may also use facial recognition to retarget their customers with several personal offers. Like you decide to buy a certain product at a certain store, but then leave as it is slightly over budget for you. Soon you may find an internet ad or a personal message about a good discount on that product from that retailer offering you a good deal. But for all this to take proper shape, there must be a strong backup strategy, which certainly plays a strong role when it comes to way people collect, use and store data of any kind.

Thus, this will begin a whole new chapter to targeted campaigns be it online or offline or both, through the leveraging of Big Data for even a single customer.

Big Data courses from the industry leaders now just a click away, with DexLab Analytics.

Big Data Hadoop training from Dexlab Analytics

 

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Participate at the Atharva’17 “The Ultimate CMO Challenge, sponsored by DexLab Analytics

We have some intriguing news, The Ultimate CMO Challenge from the Delhi School of Economics, University of Delhi is being held and we are sponsoring the event. Participate at the Ultimate CMO Challenge if you a PG student or are pursuing a course in MBA.

 
Participate at the Atharva’17 “The Ultimate CMO Challenge, sponsored by DexLab Analytics
 

The first round will be an online round where participants would have to submit their solutions online. Problem case will be sent to the teams that have registered for the challenge, the solution to be submitted should be of 6 slides except the cover slides. One can mail their solutions to cmo.atharva@mibdu.org

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How MTV and Nickelodeon Use Real-Time Big Data Analytics To Improve Customer Experience

Viacom the owner of household brands such as Comedy Central, Nickelodeon and MTV, is one of the largest media companies in the world, delivering more than 170 cable, broadcast and online networks in around 160 countries.

How MTV and Nickelodeon Use Real-Time Big Data Analytics To Improve Customer Experience

Monitoring of the digital networks, which are used to pump their content into millions of homes, gives them access to a huge amount of data, on how both their systems and their audiences behave.

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Tax department leans on Big Data analytics to mark out multiple PAN holders

To plug tax loopholes, the income tax (IT) department will use Big Data analytics to track tax evaders by collecting financial information about them, such as – common address, mobile number and e-mail to establish relationships between their multiple PANs. The department with support from various private firms will analyse the voluminous big data available post-demonetisation for checking transactional relationships between PAN holders.

 Tax department leans on Big Data analytics to mark out multiple PAN holders

  • The Managed Service Provider (MSP), which the IT department plans to hire, will design and operate analytical solutions that will in turn help in collating data, matching it and identifying relationships as well as clustering of the PAN and non-PAN data, an official said.
  • The analytical solutions would help the department gather data from banks, post offices and other sources for linking of information and identification of duplicate details. It will also identify records with errors or other defects for resubmission.

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2.5 Quintillion Bytes of Data are Being Created Everyday

Astounding amounts of 2.5 quintillion bytes of data are created everyday today. Attached with this post is an informative infographic made by our team of trainers at DexLab Analytics.

 

The process of Big Data accumulation is best described as the collection of complex and large datasets of such an amount that it becomes difficult to process, capture, store, analyze and search them with the use of conventional data base systems.

 

It requires the use of more advanced mechanisms to do the same. Currently the use of Big Data is shaping the world around us, offering a deeper qualitative insight within our daily lives.

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Improve Your Business Intelligence Strategy In Just Six Steps!

When Moore’s Law meets with modern day Business Intelligence, what happens? Disruption and then wider adoption!

Improve Your Business Intelligence Strategy In Just Six Steps!

With costs of implementing BI tools lowering, more and more enterprises are keen on jumping on-board the homebrewed variety of custom BI solution to help drive their business. The result of these efforts is that these days several organizations are pursuing data driven intelligent decision-making, at a cost, which is almost fractional compared to yesteryear’s Business Intelligence budgets.

A proper Big Data certification allows individuals to make the best of available smart BI solutions available out there!

But the question remains, as to are all these companies actually making better decisions?

Surely, most enterprises are now reaping the benefits of having a larger range of BI solutions available to them. Nevertheless, there is still a bigger room for error in the picture, which many firms tend to ignore.

If done right, BI solutions can deliver an ROI of USD 10.66 for the cost of every dollar spent on implementing them. But, as per a survey conducted by Gartner, the results are not so glorious for most firms. More than 70 percent of all BI implementations do not stand up to meet the business goals that were anticipated of them.

Due to the evolution and lowering BI solution prices, the demand for data analytics certification courses have grown by several manifolds.

Is there a secret formula to BI solution driven success? Well, starting with asking the right questions is always a good place to begin:

Here are six steps that can tip the balance in your favour:

Private-Blog-Network-Footprints

 Which data sources to use?

Do you know what the lifeblood is for BI? Why, data of course, data is what Business Intelligence strives upon. All firms do have a rudimentary strategy to collect and analyze data, however, they tend to overlook the data sources. The key here to note is – truly reliable data sources are the main difference between the success and failure of your Business Intelligence efforts.

These data sources do exist; all you have to do is choose right. In addition, the best thing about them is a lot of them are almost free of charge. Using the good ones will transform the way you look at your market, the business pipeline and the way you perceive your audience.

Are you warehousing your precious data right?

These are your firm’s single source data repositories. Warehouses store all the data you collect from various sources, and provide the same for when needed, on prompt for reporting and analysis. However, self-service BI tools can be a bit of hit-or-miss at times, where consistently handling data is a worry.

The key is to discover a data warehouse solution, which can efficiently store, curate and retrieve data for analysis on prompt.

Are your analytics solutions good enough?

Companies that are looking to use their own Business Intelligence infrastructures must identify the analytics architecture that best suits their necessities. However, unwieldy datasets in combination with a lack of processing maturity can dull the effort even before one decides to start!

How does your BI solution integrate with the existing platforms?

For incorporating enterprise-scale Business Intelligence solutions, it is necessary to have it work effortlessly with the different other information formats, processes and systems, which have already been established previously in the internal work pipeline.

So, the key here is to ask the question – will the necessary integration cost more in terms of resources and effort that you can afford?

Use reporting mechanisms that are both powerful as well as easy to understand:

The most persistent challenge in BI is to wrangle data, majority of users cannot understand any of it beyond a simplified visualization. Decision-makers may be fooled with the help of powerful visualization tools. However, the truth is that making it pretty alone will not get the job done right.

So, forget pretty, and ask the all important question of whether the reporting mechanism is useful in interpreting otherwise unintelligible data or not.

Has better compliance enabled through your Bi solutions?

If your BI solutions, directly impinges on relevant regulations (and so it will, when the time comes). Then the solutions should aid the compliance and not hinder it. A good BI solution should provide a means to trace and audit data and its sources wherever, needed.

In conclusion: the success of your efforts will ultimately depend on the data.

The field of data science is evolving in expertise. And even professionals involved in the field tend to vary in their capabilities and opinions about the same. So, the important thing is to consider the importance of data in your company, and that one has all the appropriate responses to the posed questions above.

You can learn to ask the right questions with comprehensive tableau BI training courses. For more information on tableau course details feel free to contact the experts at DexLab Analytics.

 

Interested in a career in Data Analyst?

To learn more about Machine Learning Using Python and Spark – click here.
To learn more about Data Analyst with Advanced excel course – click here.
To learn more about Data Analyst with SAS Course – click here.
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To learn more about Big Data Course – click here.

Five Major Big Data Trends That Will Shape AI this New Year

Many still believe that Big Data is a grossly misunderstood, mega trending buzzword in the tech field even today. However, there is still no denying of the fact that the recent development of AI and machine learning push is related on the synthesis and labelling of huge amounts of training data. A latest trend report by the advisory firm Ovum predicted that the Big Data market which currently is valued to be USD 1.7 billion, will further rise to be USD 9.4 billion by 2020.

 

Five Major Big Data Trends That Will Shape AI This New Year

 

Then what do the insiders in the data analytics market see it happening in the upcoming year ahead? We at DexLab Analytics, the premiere Big Data Hadoop institute in Delhi spoke to several leaders in this field to discover.

 

Here is what we found to be the five most important trends that will shape the future of machine learning, AI and data analytics in 2017 from the industry experts:

 

The predictions strongly emphasize the need for more talent and skilled personnel in this vast field of data analytics, thus, a growing demand for Big Data training and Big Data courses will be witnessed worldwide.

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