Edge Vs Cloud: Which Is Better For Data Analytics?

What is Edge Computing?

Edge computing is a segregated topology which serves to bring processed information closer to the device that is gathering the data rather than relying on a central unit which would be located much farther away.

What is Cloud Computing?

Cloud computing involves the process of delivering important information and services such as storage without the need for involvement of active management.

Which Out of the Two Is Better For Data Analysis?

In today’s world where AI has become an extremely important part of our lives, developers are looking to merge the devices we use on a day-to-day basis with artificial intelligence to make running businesses easier for organizations.

In such cases, we must look at the various computing methods that can make this possible in an efficient manner. Here, you would think that cloud computing would hold an important position in making the most suitable and ideal decisions. Platforms which are based on cloud allow developers to quickly create, deploy and handle their applications.

These would include playing the role of a platform of data for applications, application development which would help bridge the gap between data and users, and so on. It is popular for its flexibility with data storage and the ability to perform analysis processes.

On the other hand, edge computing allows applications and various other analytical and service processes of data to be done away from a central data unit, bringing it nearer to end-users. It allows the processing to take place within the locally available resources, thus bringing it a step back from the intricately planned cloud model where data processing happens in specific data centres.

Let us dive into this further in detail.

Cloud vs Edge Computing: Latency Problems

Cloud computing is used extensively across various organizations and companies for data analysis. However, there may be situations where a business may face problems in collecting, transporting and analysing the data given.

Edge and cloud computing for Data AnalyticsWhen data is transferred to a remote cloud server, it allows the user to perform various complex algorithms with machine learning and thus predict the maintenance needs of a particular section. This is then forwarded to a dashboard on a personal system where one can determine what decisions are to be made further. This is all done comfortably from home or the office.

This is great, however, as one begins to increase the intensity of operations, one may begin to run into issues such as physical limitations on the bandwidth of the network and thus also latency issues.

Edge computing does a great job at reducing latency issues by involving a local server, maybe even on the device itself. The only difference here is that the issue with latency is solved at the expense of the processing power offered by cloud computing methods.

Businesses, with edge computing, are now being able to decrease data volumes which would need to be uploaded and stored in the cloud. This thus makes the process of data analysis less time-consuming.

Edge computing may still interact with other website applications and servers. It includes physical sensor thus allowing it to help run smarter algorithms and facilitate real-time processing which is used in smart vehicles, drones and smart appliances. It may not be as strong as a remote server, but it helps reduce the bandwidth strain that one would normally face with cloud computing.

Data Analytics CareerA big data analytics courses would help equip a person aspiring to work in the field of data analysis with all the information that would be necessary. A big data analytics career is a good option because it is an ever-expanding field with a large number of opportunities!

How The Travel Industry Uses Big Data and Real-Time Analytics?

In this article, let us see how big data has brought about tremendous changes to the tourism sector, allowing the mushrooming of successful unicorns lie OYO, Trip Advisor, RedBus and many more to flourish. Big data and real-time analytics have helped the tourism industry rediscover itself and reap huge rewards.
Better decisions, improved customer experience, foresight on marketing campaigns, competitors, etc. have allowed strategic funding and decision making to boost tourism revenues. Did you know that OYO with a total corpus of 185 million dollars and a pan India presence in 223 cities used big data and real-time analytics to enable check-ins which total over two million?
So what exactly is real-time analytics in Big-Data about? 
Using data is normal, and we continue to generate it using everyday devices like smartphones. What was once in terabytes is today huge volumes of petabytes! That is big-data, and it comes from a number of sources, as text and video messages, blogs, posts, etc. in social media and internal company data. The essence of big data and real-time analytics is to clean and scour this data using deep learning techniques to enable self-learning of intelligent algorithms and networking with neural networks between databases to give gainful insights into trends, behavior patterns and the probability of occurrences. Such foresight is accurate, evidence-based and useful across a variety of functions like finance, behavior analysis, accounting, budgeting, marketing, customer services, and daily operations at all!

The top 5 Ways in which the travel industry is impacted:

1. Managing revenues:

Being able to sell the right product, through the right media channel, at the right price, at the right moment and to the right customer is the crux of excellent financial management and increasing profits. In the travel industry hotel bookings, vehicle management, local events, flights, holiday seasons, occupancy rates, room prices, prior reservations, availability of rooms, and many such factors affect revenues and its management. Which of us has not heard of Trivago, Expedia and such apps?
2. Building brands:
Reputation management has become necessary with the increasing use of social media, internet, reviews, posts, and blogs being referred to and used in making decisions like flight, destination and hotel bookings. Customer satisfaction and quick resolutions of issues is another critical area for increasing brand loyalty exhibited through reviews and posts. Smart pricing, discounts, seasonal fares and such are most often based on real-time analytics, feedback, surveys, and customer user experiences. Thus building brand loyalty has become a concerted effort at training and using data analytics effectively. Just look at how Google searches, Facebook, etc. always suggest your favorite sites when making a booking or purchase.

3. Promotional and marketing strategy:

Finding the right group of customers to target, deciding on promotional campaigns, the method, timing, and media, budgeting and execution of marketing plans are effectively a result of smart use of databases, trend spotting, foresight, and predictive analysis. Thus marketing messages pop up based on customer interest, time, location, etc. to save big when you make a booking on Yatra, Goibibo, etc.

4. Enhancing the experience of customers:

Customers are hard to please and ensuring their loyalty is based on improving the customer experience. Be it the hotel bookings, flight experience, Forex transactions abroad, or finding the best price big data analytics can help make those apps more effective for both the firm and customer. Modern times has even seen Airtel international travel cards, new-age banking UPI apps, QR scanning on PayTM, cashless transfers on PayPal, and shared Uber or Ola cabs in an effort to deliver improved customer experience based on insights from big data and real-time analytics.

5. Effective use of analytics and market research:

Today, data has evolved to be more precious than any other asset, especially in the tourism and travel sector. Market research using real-time big-data analytical techniques provides the basis of operations and all its allied functions today. Just ask to Make my Trip, Treebo Hotels, Bespoke Hotels or RedDoorz.
Conclusion:
Big data and its analytics can be beneficial to the travel industry through a number of applications that produce outcomes and foresight that are enablers of decisions that are actionable. Such apps have been a boon in online booking, optimizing dynamic prices, predicting demand, targeting markets, enabling strategy for financial budgeting and marketing plans. Improving the customer experience has led to higher sales, and the travel industry today is a booming sector offering a plethora of jobs and opportunities.
Do the Big Data Course at the reputed Imarticus Learning to get a firm grasp of how to be an enabler of the travel industry. The scope for growth and payouts are high. Don’t let the opportunity slip by you.

How Big Data is Powering The Internet of Things Revolution?

Big Data and IoT cannot exist without one another in today’s digital era. The two technologies are pushing the technological revolution across the world in a big way and here’s how.  
Today you can simply go for a run or a walk and your wearable gadget will not only tell you how many steps you have taken but also take your calls, turn off the lights in your house in case you have forgotten. This is the power of Internet of Things or IoT.
A lot of devices such as smartphones, smart-homes , DHL’s tracking and monitoring systems, smart security are run on IoT. So what is IoT? Simply put IoT is the ability of a device to communicate with another device over the internet.  These devices or networks are enabled by IoT which gives them the option to connect, communicate, send and receive and store data.
By 2020, the IoT industry is set to grow by 330 million dollars according to a Gartner study.  When combined with the power of data analytics or big data, IoT will disrupt the way industries function. Big data means the ability to analyze large volumes of data at a great velocity and provide valuable insights.
This can be both unstructured and structured data that is dense and can be stored.  The sheer volume of data that is processed at an incredible speed gives big data its name. Big Data courses provides industries with valuable insights and information on their customers, behaviors, spending habits which in turn can help enhance customer experience.
Now that we have a better understanding of Big Data and IoT, here are the ways in which both technologies are complimenting each other and driving digital transformation
Storage of Data
Today there is an abundance of data which is processed on a day to day basis. From videos watched on Youtube to messages sent over the internet, data is created, stored and proceeded at an unprecedented rate.  This means that large scale digital centers need to be set up to store data load.
Hence organizations are using IoT based infrastructure to move into a platform as a service model or a cloud solution to store data.  These systems provide flexibility and scalability of data storage.
Data Security 
The vast of amounts of IoT data processed will also contain a lot of secure information that cannot be stored on public networks or devices.  There needs to be well established protocols in place to combat theft of data and other fraudulent crimes. A lot of organisations are using programming languages such as Hadoop or Hive to store data with proper protocols in place.
Gearing for the future
Once a proper data storage system has been set in place, there needs to be enough infrastructure to support growth and performance. This means that there will also be new job opportunities created in the IoT space to maintain and process analytics.
Conclusion
IoT is remarkable in many ways, and when it combines with the forces of data, it is able to manipulate the data and provide valuable solutions to organisations. They both are closely connected have enabled the growth and transformation of many businesses today.

Role of Analytics in today’s Scenario!

Role of Analytics in Today’s Scenario!

The role of Business Analytics has evolved over the years. Although analytics has been around for a long while, it wasn’t until the last 5 to 10 years that its importance in the business field has been realized. It was in the last 10 years that technology has been revolutionized and we now produce about 2.5 quintillion bytes of data every day. 

This is more data than what was collected in two years previously.

This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data. What has also changed in the last decade is that we now have the means to sift through these 2.5 quintillion bytes of data in a reasonable amount of time. All these changes have major implications for organizations today. This emphasises more on the role of business analytics in today’s times. 

In organizations, analytics enables professionals to convert extensive data and statistical and quantitative analysis into powerful insights that can drive efficient decisions.

Therefore, with analytics, organizations can now base their decisions and strategies on data rather than on gut feelings. Moreover, with the rate at which this data can be analyzed, organizations can keep tabs on the customer trends in near real-time. As a result, the effectiveness of a strategy can be determined almost immediately. Thus, with powerful insights, analytics promises reduced costs and increased profits.

With a sudden surge in the analytics industry, there is a tremendous increase in the demand for analytics expertise across all domains, and throughout all major organizations across the globe.

This adds to the importance of Data Analytics courses and how the youth must pursue a career in Data Analytics. 

IBM’s recent study revealed that “83% of Business Leaders listed Business Analytics as the top priority in their business priority list.”

Deloitte has mentioned in its study that – Decision makers who can leverage everyday data & information into actionable insights for the growth of their organization by taking reliable decisions, will find themselves in a much better position to achieve strategic growth in their careers.

Importance of business analytics

Organizations employ Business analytics so they can make data-driven decisions. The role of business analytics helps any organisation with an excellent overview and insight into how companies can become more efficient, and these insights will enable such businesses to optimize and automate their processes. It is no surprise that data-driven companies, that also make use of business analytics usually outperform their contemporaries. The reason for this is that the insights gained via business analytics enable them to; understand why specific results are achieved, explore more effective business processes, and even predict the likelihood of certain results.

Business analytics also offers adequate support and coverage for businesses that are looking to make the right proactive decisions. Business analytics also allows organizations to automate their entire decision-making process, to deliver real-time responses when needed.

One of the apparent importance of business analytics is the fact that it helps to gain essential business insights. It does this by presenting the right data to work it. This goes a long way in making decision making more efficient, but also easy. This is another reason to make a promising career in data analytics.

Efficiency is one area of business analytics that helps any organization to achieve immediately. Since its inception, business analytics have played a key role in helping business improve their efficiency. Business analytics collates a considerable volume of data on time, and also in a way that it can easily be analyzed. This allows businesses to make the right decisions faster.

Business analytics help organizations to reduce risks. By helping them make the right decisions based on available data such as customer preferences, trends, and so on, it can help businesses to curtail short and long-term risks.

There is an information overload in today’s world and data analytics helps to cut out the clutter to help businesses make safe and smart choices.

Summary

We can conclude that Business Analytics is a field that holds a lot of potential & importance in the way any organisation operates. It indeed is the best time to make a career in Data Analytics. You can always check out our Data Analytics courses to know more.