How are analytic benefits delivered by Big Data as a Service

As companies work to make big data globally available in the form of easily usable analytics, they should consider outsourcing functions to the cloud. By choosing Big Data as a Service solution that handles the resource-consuming and time-consuming operational aspects of big data technologies such as Hadoop, Spark, Hive and more, software development companies can focus on the benefits of big data and less on the grunt work.

In order to include big data in their fundamental enterprise data architecture, adaptation of and investment in Big Data as a Service technologies are necessary. A new data architecture suited for today’s demands should be comprised of the following components:

Extraordinary performance, analytic-ready data store on Hadoop. 
How can big data be swift and analysis-ready? A best practice for building an analysis-usable big data environment is to create an analytic data store that piles up the most frequently used datasets from the Hadoop data lake and structures them into multi-dimensional models. With Hadoop having an analytic-ready store on the top of it, organizations can get the quickest response to queries. These models are understood by the business users easily, and they facilitate the consideration of how business contexts change as years pass by.
This analytic data store should support reporting for the known-use cases, but also empirical analysis for accidental scenarios. The process should be comprehensive for the user, eliminating the need to know whether to query the Hadoop directly or use the analytic data store.

Semantic layer that facilitates “business language” data analysis. 
How do a lot of business users access big data? To hide the complications of raw data and to uncover data to business users in easily understood business terms, a semantic overlap is required. This semantic layer is a logical representation of data, where business rules’ application comes in the picture.
For example, a semantic layer can describe “high-value customers” as “those customers who are with the company for more than 3 years and continue making new or renewal purchases on a regular basis.” The data for “high-value customers” might have been obtained from different tables and gone through multiple levels of calculation and transformation, before coming to the semantic layer, all obscure to the business user who queries for “high-value customer.”
Formerly, business users would have to query Hadoop directly, which is unrealistic, or request information from IT, which means waiting in a row of reporting requests. A semantic layer assists business users to analyze and explore data using acquainted business terms — without the need to wait for IT to prioritize requests. It also allows reusing of data, reports and analysis across different users, maintaining orientation and consistency and saving IT the struggle of responding to every individual request on a case-by-case basis.

A multi-tenant big data environment. 
How can big data be accessed throughout the organization regardless of where people sit? With well-known demand for analytics, software development companies need to embrace a hybrid centralized and decentralized approach to data. This allows different teams to include local data sets and semantic definitions at the same time accessing the enterprise data resources that IT constructs.
This hybrid approach can be attained with a multi-tenant data architecture. In this architecture, IT collects and cleans data into a shared Hadoop data lake and prepares a core semantic layer and analytic data store from that data.
IT then creates virtual copies of the centralized data environment for different business functions, such as personnel, finance, sales, marketing and customer support. In this manner, IT keeps the authority in data governance and semantic rules, while business functions and departments can observe the impact of their daily business activities against historic or company data stored in Hadoop.

User-friendly ways of consuming analytics. 
How can the big data analysis experience be made user friendly? An absolute consideration for the end-user delivery of big data is the form in which data will be symbolized. These data interfaces should meet the unique and customized needs of all users. This requirement includes providing extremely interactive and responsive dashboards for business users, instinctive visual discovery for analysts and minutely detailed, scheduled reports for information consumers.
While each style is distinctive, the best practice is to ensure that each interface is not a separate tool, so that creating, collaborating and publishing information is done with reliability and precision. This is only achievable through a semantic layer that ensures data values remain steady, while data presentations might differ from one user interface to another.

Conclusion
Big data is important to the enterprise and is a fundamental part of the enterprise data architecture. To utilize big data's full potential, software development companies need to quicken the investments made in technologies that proficiently and successfully perform analysis and assist in storage of data. Cloud solutions for big data and analytics make this possible. With them, enterprises can achieve future data growth, and in turn, excel in the ever evolving big data environment.

Benefits of BYOD in the classroom

Today’s generation of students is different from previous generations. They keep their mobile devices on them eternally and expect connectivity all the time. Therefore, as our culture continues to become more and more gadget dependent, BYOD in schools (bring your own device) becomes BYOD in education and it is inevitable. There is going to be a wave of devices arriving at the school wireless network, whether software companies in India like it or not. The times is changing and education and softwares developed by software development companies must change with it.

Here are some benefits of implementing BYOD in classroom:

1) Workforce ready students

The world today’s student’s upbringing is becoming increasingly tech-addicted. We use our mobile devices all the time for just every task we do these days. Today’s students will likely be using mobile devices in their future vocations, so why not in still them with the tools they will be working with in the future.  It provides a chance for teaching courteous/appropriate use of mobile devices which they will be using when they grow up to become future professionals. The whole point of education is to prepare them for their future.

2) Teamwork becomes easier

With BYOD technology in the classroom, students can easily team up on projects and even with students from other schools. Group effort is the key to engagement in today’s classrooms.

3) Learning outside the school walls

Students spend many hours outside the school on their mobile devices. So why not use it as an advantage. Let them use these devices as engaging learning tools in the classroom. Then, they can simply bring their homework, educational games, projects, books, etc. and everything they need to continue learning outside the school can be accessed with a swipe of the finger.

4) Personalised instruction

BYOD provides a chance for personalised education. Teachers can use media to cater to the different learning needs of the students. Then all students can learn and shine at their own pace.

5) Cost Saving

Although BYOD is really about delivering education in innovative ways, saving money isn’t a bad objective to have additionally. With the students using their own mobile devices as classroom technology, schools can save some serious money on technology costs. Schools nowadays spend a fortune trying to keep up with all the latest and updated technology that can be used for education these days. So let students bring in their latest technology in the classroom and remove that burden from schools.

6) Gamification

It’s an old saying that ’Video games make children dumb’,  but apparently there are all sorts of new games these days that parents and teachers actually inspire video game playing. There’s an app and a game for everything these days that makes learning a funny and exciting experience.

7) Education becomes more interactive

BYOD allows student to use their own devices in the classroom to make learning more fun and interactive than ever before. Students can interact with students and subject matter experts in other countries, create a digital scavenger hunt or take virtual field trips. Hence, the possibilities are endless and students love it.

8) Increased Engagement

Students these days live for technology. So it only makes sense to use their love for technology in the classroom if we really want to get them engaged.

9) Student and Teacher exchange the roles

BYOD changes the entire learning and teaching model. With the technology they are using for BYOD, students can have more command over their own learning. They can raise questions and do research instead of just listening to a lecture from the teacher.

10) eBooks

In the real world, things and information are constantly changing. Till the time most textbooks reach the classroom, the information contained in them is considered outdated. BYOD allows students’ access to the latest and updated information available through ebooks/digital textbooks. Many digital textbooks also offer interactive aspects as well.  Also, students can easily carry them around and access them whenever they want.

Conclusion
By acknowledging that smartphones, tablets, and laptops are realistic components in the lives of every human being and by accepting it openly and actively in the exploratory use of these tools for education, we are opening the door for our students that leads to the core of the 21st century experience. Software development companies should consider this view while developing new generation softwares.

BDaaS - Big Data as a Service

The terms software as a service, platform as a service and infrastructure as a service are known to cloud enthusiasts. Now, by combining the data used in a software outsourcing company in india, by each of these all together and up scaling the amount of data involved, the term that we arrive on is Big Data as a Service.

What is BDaaS?

BDaaS is a term used to describe the varieties of outsourcing of Big Data functions.This can range from supply of data, to the supply of analytical tools through which actual analysis can be performed by interrogating the data and provision of reports. Some vendors have BDaaS packages which include consulting and advisory services provided by them.

Why is BDaaS useful?

There are many advantages of outsourcing or virtualizing your analytics activities which involve huge datasets.

The fame of Hadoop has to some extent made Big Data usable for all – anyone can use cheap off-the-shelf hardware and open source software to analyse data, if they invest time and resources effectively in learning how to do so. However, money is being spent up front on components and infrastructure for most commercial Big Data initiatives. 

Also, on top of upfront costs, storing and managing huge amount of information requires an ongoing investment of time and resources for a software outsourcing company. When you use BDaaS, all of the techy “nuts and bolts” are theoretically, out of sight and out of mind, giving you ample time for concentrating on business issues.

BDaaS providers often leave this decision making to the customer – the providers have everything set up and ready to go – and the customer simply rents the use of their cloud-based storage and analytics engines and pays either for the time they used these or the amount of data crunched. BDaaS vendors often take on the cost of complying with the standards and policies as well as data protection. When the data is stored on their servers, they are often held responsible for it.

(Twitter, 2016) usage statistics on IBM’s Analytics for Twitter service, which provides businesses with access to data and analytics on Twitter’s 5000lakhs tweets per day and 2800lakhs monthly active users. The service provides analytical tools and applications for deriving information from that unorganized, unstructured data and has trained 4,000 consultants to help businesses convert plans into action to profit from them.

The arrival of Apple’s Watch – the device that will bring consumer wearables into the workplace – will doubtlessly bring with it a plethora of new BDaaS apps. They will immerse up the data from the assumed millions of people who will soon be using it for functions ranging from monitoring their heart rate to arranging their social calendar to remote controlling their home entertainment. Apple and IBM have just announced their collaboration on a big data health platform too.

In the area of sales and marketing, BDaaS is increasingly playing its role, too. Large number of software outsourcing companies now offer customer profiling services, including Acxiom – the biggest seller of direct marketing data. By applying analytics to the huge amount of personal data they collect, they can more effectively profile people as consumers and hand their own customers potential leads.

Amazon’s AWS and Google’s AdSense &AdWords are some of the known services that would also fall under thiscategory. They are all used by thousands of SMB to host data infrastructure, and target their marketing at relevant places where potential customers could be lurking.

Conclusion

The term ‘Big Data as a Service’ may be rather clumsy and inelegant but the concept is not the same. As more and more software outsourcing companies realise the value of implementing Big Data strategies, more services will emerge to support them. Data analysis brings positive change to any firm that takes it earnestly, and this includes smaller scale operations which neither have the expertise nor the budget to develop that expertise to do it themselves.

Integrating analytics into working in a virtualized environment is the next step. Big Data projects are viable now for many businesses that previously would have considered them out of reach.

Bibliography

Twitter. (2016, March 31). Twitter usage. Retrieved from Twitter: https://about.twitter.com/company

Is SaaS killing traditional IT?

Before two decades, IT was the only department that handled IT services for an entire organization like a software development company — one department to rule them all, if you will. From mail to softwares to hardware problems like problems in printers, they were trusted upon for a variety of issues.

But now as technology continues to grow, more companies are moving towards to Software as a Service (SaaS) for their business needs. Of course there are lot of benefits that are associated with this new IT and employee dynamics, but also unplanned consequences i.e. a rift in the way IT works.

(Gartner Symposium Executive Summary Report, 2014) says enterprise apps will have sales of $40 billion for developers by 2016. A grip for consumer-friendly image applications, games, and renegade business applications, the app stores of today are now going through a major makeover as the enterprise-class comes into its own.

It’s apparent to see that enterprise mobility is rapidly acquiring ground, but it’s still a challenging experience for most developers due to the technical complications and extravagant delivery models for most enterprise mobile platforms. Adding to that the swiftly evolving nature of mobile technologies, and you can see, why most approach the world of enterprise applications (developing and implementing) with anxiety. But this is shifting, and affordable opportunities to build, test, and monetize are now more voluntarily available in the enterprise space.

What’s important in today’s world, is that ‘Application is not the only concern’; it’s also about how the application works within a system. The procedure of bringing data or a function from one application program together with that of another can turn out to be nightmarish for an IT company such as a software development company if it isn’t dealt with correctly. Companies are going to drift down towards the technologies that are simple and effective for their specific needs, meaning integration will be a part of the development process.

In recent years, SaaS has been merged into the strategy of all leading enterprise software development companies. The USP is this: Reduction in IT support costs by outsourcing hardware maintenance and support to the SaaS vendor.

However, the wide array of available applications requested by each department has made managing user access and approval an increasing challenge. The task of letting the users have access to dozens of different applications is time-consuming, and determining which department is using which apps and who has user access and permissions to what, is leading to a fragmented IT department. As the sales team requests different applications than that of engineers, IT is becoming more particular — an IT member for sales and a different IT member for the engineering department — and also more diversified.This diversification is happening across all businesses as departments start adopting new technologies. The question now is ‘Can this model be continued as technologies continue to grow?’ There will always be arguments to keep the traditional integrated IT department model. It’s a model that has worked well for years; however, it’s important for businesses to introspect and see which model will generate profits for them, the most.

(Forrester research on IT departments) predicts that IT departments could disappear as soon as 2020. However, we are not sure that it would go so far. Without a doubt, IT is always going to develop as it races to keep up with new technologies. It’s about how rapidly departments can familiarize.

Actually, the success will be achieved when the IT departments figure out these changes before others. This will unavoidably change the role of the CIO in software development companies as their IT team fragments and transfers into various departments. As this happens, their role will be defined by the central technology and business strategy of the day, in the same manner as by their own drive and talent and CIOs will be networking with the world in a whole new way. The question now is ‘Are they ready?’

Bibliography

Forrester. (n.d.). Forrester research on IT departments. Forrester.

Gartner. (2014). Gartner Symposium Executive Summary Report. Orlando: Gartner.

Impact of wearables on BYOD policy of software development company

It’s a known fact that many IT departments struggled with the growth in BYOD policies adopted by software development companies all over the globe. In an effort of protecting critical business data and making sure that all devices worked properly as employees used their own devices for work, IT had to handle more complex challenges. But that complex problem has now moved on to the next level, as employees have started bringing wearable devices for work.

With the latest announcement of the Apple Watch, alongside other wearable gadgets like Samsung’s Galaxy Gear and Google Glass, the wearable device market is on the verge of exploding. (Burrus, 2014) estimated sale of 10 lakhs wearable devices in 2014, and the same number is predicted to increase to 3000 lakhs by 2018. IT workers need to get prepared now, because wearable devices are making their place in the office premises sooner rather than later.

Wearable devices have the benefit of creating unique opportunities for a software development company though these devices also bring along the threats in a globally connected world.

Assimilating wearable devices into the work environment can arise a situation where company information is even more suitably accessed and utilized. For example, software installation can be done using smart glasses by following step by step instructions in case the installation procedure is complex.

The advantages might tempt business leaders to use wearable devices, but the same technology also brings with it, some drawbacks, the most concerning being increased security risks. IT workers have spent lot of their efforts in testing and approving apps using MDM software. As wearable devices become more prevalent, new apps will be developed, forcing IT department to go through that whole process once again.

IT departments will also have to build security controls for these new devices. Most organizations have controls in place that include a remote lock or wipe feature, where devices that are misplaced or stolen can be locked or wiped to ensure the data which resides inside the device is protected from unauthorized visitors. These controls will have to be created for wearable technology too.

There are also concerns over how wearable devices might be used to steal information by employees within the company (like an employee secretly recording a confidential meeting using smart glasses). So as this new technology comes alive, the search to answer these questions begins.

Even if the security concern is properly addressed, other significant obstacles will keep the businesses away from using wearable devices widely in the immediate future. Currently, most of these devices are expensive with prices out of the range of the average customer. Strategic level employees such as CXOs may use them, but making them available for operational level employees will be difficult until prices decline.

The other concern is the cost of data that comes with using more mobile devices in the work environment. As more innovative gadgets make their way to the workplace, increasing the amount of consumption of data, which can reduce the bandwidth of a business’s network. Pair that with the security risks mentioned above, and prevalent adoption of wearable devices under a BYOD policy might take a year or more to happen.

It took years for software development companies in India to finally get a handle on BYOD when it came to mobile devices and tablets. That epoch of BYOD created a radical shift in the business world which increased efficiency but introduced new security risks.

Conclusion: 

Wearable devices will likely outgrowth the next revolution in the workplace. If businesses don’t want to be caught unprepared, now is the time to create the policies and procedures to deal with the influx of new technology. With the right strategies in place, every software development company adapting WYOD will be able to gain maximally from the benefits while minimizing the drawbacks.

Bibliography

Burrus, D. (2014). How Wearables will Transform Business. Burrus Research.