5 Ways to Understand the Importance of Big Data

Modern times handle Big-data and the amount of data just keeps growing by the moment. Today enterprises not only use the data generated by them but also cull the data from internet services, audio clips, video s, social posts, blogs and other sources.

Understanding Importance Of Big Data

Big data analytics deals with data primarily and the predictions or forecasts from analyzing databases that help with informed decision making in all processes related to business. All of us generate data and the volume of data has now become incredibly large. Keeping pace with the generation of data has been the need for cutting edge tools to clean, format, group, store and draw inferences from databases not only our own but across verticals and fields. Some of the interesting fields spawned and co-existing with the use of big data analytics are in machine learning, artificial intelligence, virtual reality, and robotics.

In modern times the value of Big Data, its forecasts and insights are invaluable to companies. However, it is not easy to clean the data, match and format the various types of data, prepare the data to be available in an easily understandable form and then use the data for analytics. It requires discipline, patience, lots of practice and asking the right question to the right database to be able to produce those predictive insights.

Importance of Big Data is so encompassing in a world ruled and constantly generating large amounts of data every moment that analysts, engineers, scientists and others making a career in the Big Data field is sure to have an unending scope. The more the data, the better the evolving technologies get and so also follows the demand for personnel who can understand and handle it.

Yet, the 4 V parameters can be used to understand Big data. They are
• Variety – This defines the type of data source and whether it is generated by a machine or people.
• Volume – This parameter has moved from Gigabytes to terra bytes and beyond and denotes the amount of data generated. The sources have increased as also the speeds of data generation. The definition of volume should be very large Big Big Data many times over by now.
• Velocity – This parameter defines the generational speed of data. This grows by the moment and entails huge volumes.
• Veracity – This parameter defines the data quality and at times is out of the analyst’s control.
Technology has also evolved and has taught us that it is not sufficient to just gather data but use it effectively to improve organizational performance. Big-Data has immense applications across all industrial verticals, in personal and industrial scenarios and has successfully advanced not just organizational productivity but the economy as a whole. This development in data and its technology-enabled predictive analytics to make use of forecasts and gainful insights to improve the various processes and applications.

The Three Stages of Data

All data may not be in the same format and may be in different formats and made available from various sources. Labelled data is very different from real-time unlabeled data. Thus all data passes through three stages which are performed as loops and repeated many times in a fraction of a second.
• Managing the data: Here the data is extracted from various sources and the relevant data is extracted from it.
• Analyze and perform data analytics on it: In this stage, ML algorithms are applied and data processed to gain foresight, insights and make predictions.
• Make the correct decision with data: The all-important stage of applying the data to a relevant decision-making process is executed to provide the desired outcome. When the results are not the desired outcome the process is automatically repeated to narrow the differences between output and the desired result.
With traditional tools, one can work with relatively smaller databases that are less than a terabyte size-wise. However, modern data tends to be unstructured and comes in the form of videos, audio clips, blog posts, reviews, and more which are challenging to clean, organize and include huge volumes of data. The tools and techniques involved in the capture, storage and cleaning of data need necessarily to be updated. One also would need faster software that can compare databases across platforms, operating systems, programming languages and such complexities of technology.

The Five Organizational Benefits of Big Data

Big Data brings in great process benefits to the enterprise. The top five are

  •  Understand market trends: Using big data, enterprises are enabled to forecast market trends, predict customer preferences, evaluate product effectiveness, customer preferences, and gain foresight into customer behaviour. The insights can help understand purchasing patterns, when to and which product to launch and suggest to clients product preferences based on buying patterns. Such prior information helps bring in effective planning, management and leverages the Big Data analytics to fend off competition.
  •  Understand customer needs better: Through effective analysis of big-data the company can plan better for customer satisfaction and thus make alterations needed to ensure loyalty and customer trust. Better customer experience definitely impacts growth. Complaint resolution, 24×7 customer service, interactive websites and consistent gathering of feedback from the customer are some of the new measures that have made big-data analytics very popular and helpful to companies.
  • Work on bettering company reputation: Sentiments and their analysis can help correct false rumours, better service customer needs and maintain company image through online presence which eventually helps the company reputation using Big Data tools that can analyze emotions both negative and positive.
  • Promotes cost-saving measures: Though the initial costs of deploying Big Data analytics are high, the returns and gainful insights more than pay for themselves. This also enables constant monitoring, better risk-management and the IT infrastructure personnel can be freed up. This translates into reduced personnel required. Besides this, the tools in Big Data can be used to store data more effectively. Thus the costs are outweighed by the savings.
  •  Makes data available: Modern tools in Big Data can in actual-time present required portions of data anytime in a structured and easily readable format.

If you are keen to take up data analytics as a career then doing Big data training with a reputed institute like Imarticus is certainly advantageous to you. The courses augment your knowledge, bring you up to speed with the latest tools and technologies and even include real-time, live projects that enable the transformation of theory into confidence-based practical applications of learning in the data analytics field. Why wait?

How Can I Become Scrum Master in India?

Scrum

Scrum is a framework that helps different teams to work in a cohesive manner. Scrum helps teams to remain self-organized while dealing with a problem. Using the Scrum framework, teams learn from their experiences. Scrum enables effective use of all the available resources and makes the deliverables available with high efficiency. Scrum helps in dividing the overall projects into various sub-projects referred to as sprints.

The use of scrum empowers all the team members to have visibility of everything happening in the project. The use of scrum makes it possible to have a 3600 feedback system regularly. Along with the performance and efficiency of the entire team, Scrum also focuses on the individual performers in the team.

Scrum Master

The scrum team leader, also referred to as the scrum master is a person who takes care of to and for communication between the product owner and the entire team members, communication within the team, without actually being included in the strategy flow of the product. Along with smooth communication, scrum master also ensure that all the team members follow astute values.

Roles and Responsibilities of Scrum Master

While plugging the communication gap between the product owner and the team members enables all the team members to get an understanding of everything related to tech and organizational dynamics, simultaneously handling all the perplexities.

Scrum Master ensures that all the team members subsume astute values and practices in their work

Scrum master takes charge of day-to-day work. With regular meetings and follow-ups, Scrum master must understand, how much work is done, what needs to be done, what are the challenges, if any further training is required to achieve the targets on time, henceforth, making the execution of the work smoother.

Scrum master also holds the responsibility of developing healthy work relationships between the product owner and the entire team, within the individuals of the team.

Keeping a continuous check, whether the team is progressing smoothly on the set roadmap or not is the key responsibility of the scrum master. Finding out the hurdles and providing the team members with the strategies to solve the problems, along with safeguarding themselves from distractions is ensured by the scrum master.

Scrum Master and the Product Owner

Scrum Master ensures an in-depth understanding of the product, the Aims, and the Objectives of the project to the entire team, thereby acting as a strong connector between the Project Owner and the entire team working to achieve the goal.

Considering the Scrum master is accountable for day-to-day workflow, maintaining any backlogs and communicating same to the product owner, with simultaneous solutions to manage the same, is also the responsibility of the scrum master.

Scrum Master and the Product Development team

Considering the Scrum Master understands the strength and weaknesses of the Product team members and the requirement of the projects, it’s the core responsibility of the Scrum Master to guide the team members to be organized, to speak out the problems, and arrange the pieces of training and other such sessions as and when required.

Scrum master and the Organization as a whole

Scrum Master training and facilitates the inclusion of the Scrum methodologies to ensure smoother execution of the project plan.

How the transition will take place when the team enters a scrum framework is also the responsibility of the Scrum Master.

How to Become a Scrum Master?

 Must-Have Qualities

  •  Technical Know-how
  • Leadership Qualities
  • Ability to Coach
  • Conflict solving nature

Scrum training

A certification course in Scrum Master training helps an individual to understand better the Scrum Practices that need to be followed

Certified Scrum Master (CSM) Test

This certificate highlights the core understanding of an individual about different processes and principles which are integral parts of the Scrum Process. The certificate can be earned by taking proper training from a certified Scrum trainer (CST) followed by qualifying for an online examination.

Online CSM Test

Duration One-Hour
Nature of Questions Multiple-Choice Questions
Number of questions 50
Cost ~ 29 USD (For first two attempts)

~ 25 USD (After first two attempts)

Pass Percentage 74%
Number of attempts Two
Medium of Instruction English

French

Italian

Danish

Russian

Spanish

Validity Two years

Also Read: What is the Future of Scrum Master

What Are Some Core Competencies of A Business Analyst?

A business analyst’s role in the business is very dynamic & challenging as one needs to be a quick & critical analytical thinker and should have effective communication skills as well. The major success of a business project depends upon how it is handled by a business analyst so that there will be minimum loopholes.

As there are several high-level responsibilities associated with a business analyst’s job role, it is vital for you to be dynamic with agile software development.

A business analyst’s responsibility is to guide a business to improve its operations, processes, products & services, and software through data analysis. This one of the reasons advanced business analytics courses in India are high in demand.

Furthermore, business analyst training is a combination of hard & soft skills from an abstract perspective. They typically are a bridge between a company’s business problems and technological solutions for them. These ‘business problems’ can include everything from models, processes to methods to anything about a business system.

Business Analyst online trainingSome core competencies of a business analyst include:

Competent Communication Skills

The most important skill is how effectively you communicate so that the right information/instructions are conveyed properly to all the participants within the business system. Not just good communication skills but being a keen listener is also very crucial for this job role.

You should able to take proper notes from the meetings, whether it’s a conference room meeting or on-call meetings. The same skills are required in email communications as well.

Critical Analysis Skills

Critical thinking is one of the key assets of a business analyst. One should possess strong domain knowledge. Until & unless one doesn’t understand the complexity of the project, s/he may not be able to analyze all the aspects of the project.

Problem Solving Skills

Along with understanding the project’s complexity, a business analyst also needs to figure out what could be the problems and provide potential solutions to those problems. Therefore, you should be good at solving problems while critically analyzing all the aspects of the project.

Strong Management & Leadership Skills

Managing the project not just means that you need to manage the functional & non-functional requirements of the project, but you also need to manage the team that will be working on the project. This requires strong behavioral skills; having management & leadership skills enables you to manage your business team and processes efficiently.

Technical Awareness

While handling the project, a business analyst must be aware of the technical terms, tools & techniques used in the industry. Also, you should be aware of how your technical people involving developers and testers, will be working on various tools and which technology they’ll be using for the project.

Enroll for a Certified Business Analytics Course to Boost your Career

A business analyst’s job has really evolved in the millennial age. It is a fast-paced, albeit demanding & dynamic corporate job role, which is a great fit for any ambitious young person looking for an opportunity to grow.

If you want to grow your career as a business analyst, then it’s time to take the step forward by enrolling yourself in the best business analytics course in India with Imarticus.

Business Analyst Online TrainingThis business analytics certification course is designed specifically for students and professionals who want to have a promising career in this rapidly evolving. If you want an easy way to have a successful career in this business world, then enrolling in our courses is the way to go!