Contact Us
×

Category: Analytics

10 Data Analytics Myths that Can Hamper Your Business Data!

Posted on by Imarticus Learning

Myths are a waste of time; they prevent progression – Barbara Streisand

In addition to making conclusions about the data, the science of evaluating raw data is what we call data analytics. Many techniques of data analytics and procedures have been converted via automation into mechanical operations and algorithms that operate over raw information for use by humans.

It is a booming field and many young and ambitious professionals are opting for data analytics courses. Many universities are offering data analytics courses online.

Due to its complexity and distinctive language, many amateurs don’t understand it and are hence oblivious of its activities in the backend. Its insignificance has led to the emergence of good and bad myths that have forayed into people’s minds. It can discourage any organization from effectively capitalizing on data analytics since they treat the myths as reality.

Here are the 10 data analytics myths debunked.

  1. It contributes to new findings: Theoretically, data analytics helps in finding significant data, and practically it helps in making some important decisions. Reaching new findings with AI via data analytics is untrue.An accurate understanding comes from the gathered and modeled data, and evidence is collected that proves to refute the theories. Data analytics should be used as a valuable platform for learning.
  2. It is time exhaustive: Some market leaders are of the view that using data analytics in a sensible manner is too time-consuming. One should check for answers which will align with the existing networks and then provide a complete view of the revenue-driving activities and provide execution services. In less time, the right software tools will help extract data insights
  3. It needs an exorbitant amount: The misconception that data analytics is a costly affair prevents many companies from effectively leveraging it. In fact, a solution for data analytics can be very functional and cost-effective, it is all based on the type of solution needed.
  4. Value can only be derived if an individual is an analyst: Another misconception is the above. All the credit goes to the pathbreaking development in the fields of automation along with AI for enabling the process through which anyone can avail an insight into the data information and quickly transform this knowledge into effective business decisions.
  5. Data is the force behind every business: Not all companies have data as their driving force. When the business offering makes sense, only then data is important. It is necessary to concentrate on the information, whether it is important to the company, and then join the battle, if not, keep concentrating on important progress.
  6. Bounce rates – useless to keep track of it: It is the perception of some company heads that keeping a record of bounce rates serves no purpose. The logic behind it is, these figures are usually inaccurate, and the real value is not given by the data.In reality, the bounce rate is important in increasing the SEO value and gives an indication of the consumer’s understanding of the said business, aiding them in identifying the faults responsible for people making an early exit from their site.
  7. Decisions made by machines are impartial: It confirms the already existing social biases, transforming into a “black box,” without any means of describing the logic behind choices. When the organizations are asked to explain decisions, they aren’t in charge of the manner in which models are designed, rendering them insecure and accountable.
  8. The loss of jobs is directly related to data analytics: This is a common misconception that data analytics connects to AI and that further transpires into job loss. Data analytics is akin to a business tool that produces jobs and productivity and reduces waste.
  9. More data is key: Another prevalent myth is that the more the data, the better it always is. The most important thing is that data has been well-sourced, is reliable, and also meaningful. As they always say, quality is better than quantity.
  10. Analytics runs your business: An organization cannot expect their business to grow and flourish only with the help of data analytics. It’s also about building a rapport with their customers and understanding their needs. It also depends on their processes and their products. When an organization incorporates better insights into its business processes, it can add more value.

Why Does Data Ops For Data Science Project Matter?

Posted on by Imarticus Learning

What is Data Science?

Data plays a major role in every organization as it helps in making decisions based on facts, statistics, and trends. Data science helps to trace insights from the raw data generated, which in turn is used to make major business decisions. Implementing Data Science in business has several advantages.

  • It helps in reducing risks and identifying fraud models. Data scientists are trained to identify data that stands out in some way and they use methodologies to predict fraud models along with creating alerts every time unusual data is identified.
  • It helps organizations in identifying when and where the products best sell. This helps the organization to deliver the right products at the right time as per the customers’ needs.
  • It helps the sales and marketing teams to understand their audience well and helps with providing personalized customer experiences.

Why Data Science Needs DataOps?

Data scientists deal with searching for data, labeling, cleaning, and performing other tasks that consume a lot of time. Especially if the business has to maintain a backlog legacy, then the amount of data keeps multiplying every year. This is where the need for DataOps rises.

DataOps involves collaboration, automation, and continuous innovation to data within a data-driven environment. Just like software can not be expected to provide exact results outside its live environment, data projects may also tend to behave similarly and may have to be reworked completely to make it work in a production environment. It also has to be continuously monitored even after deployment. Which makes it even more necessary to implement DataOps in a Data Science project.

Data Ops for Data ScienceDataOps plays a major role in building best practices throughout a function. Through continuous production, DataOps helps organizations to deliver value to a range of stakeholders.

Another significance of using DataOps in Data Science is Automation. Data moves through a particular process within an organization. While Data is entered in one form, it does not exist in the same form. Data scientists have to build data pipelines, test, and change them before data is deployed.

Making use of DataOps best practices, you can get a constant stream of data flowing through the pipelines. Which in turn, helps to attain real-time insights from the data. This ensures to reduce the time taken in converting raw data into Valuable information.

Combining Machine Learning with DataOps helps in maintaining a continuous workflow through internal communication. With this, the data quality can be controlled through version control, constant development, and integration. Combining ML also improves the insights and has a great potential for extracting value from DataOps.

Introducing DataOps in the organization also means changes in the work process. It builds a new ecosystem with consistent communication between the departments. Employees of each department work together, in real-time, sharing a common goal.

Therefore, using DataOps in Data Science ensures to develop projects keeping in mind the business impact along with delivering it in a way that the management can understand.

Why Data Science Course?

The Data Science course covers a mix of topics like mathematics, Tools, Machine Learning techniques, Business Acumen, and several algorithms. The main principle behind Data Science is finding patterns from gigabytes of raw data collected.

In today’s competitive world, more and more organizations are opening up to big data, and the need for data scientists is also on the rise. They get exciting opportunities to work on and also get to come up with solutions for businesses.

10 Data Science Careers That Are Shaping the Future!

Posted on by Imarticus Learning

Data is wealth in modern days and data scientists will be in huge demand in the coming years. Firms require skilled professionals to analyze the generated data. Data analysis is also predicted to surge with the rise of new-age technologies like machine learning, artificial intelligence, etc.

According to reports, there is a shortage of expert data scientists in the market. One can opt for a post-graduate program in machine learning to gain the skills needed in the data science industry.

Let us see about ten data science careers that are shaping the future.

Data Scientist

Data Scientists have to organize the raw data and then analyze it to create better business strategies. Data is analyzed for predicting trends, forecasting, etc.

Data science careerData scientists are technical personals who are fluent in data analysis software and use them to predict market patterns. Firms will require more skilled data scientists in the future due to the need to process & analyze big data.

Business Intelligence Analyst

Business Intelligence (BI) analysts & developers are required to create better business models. They also help in making better business decisions. Policy formation and strategy development are key responsibilities of a BI analyst. Firms have to face market disruptions and need good business models/strategies to tackle them. BI analyst/developer will be in demand in the coming days.

Machine learning Engineer

Machine Learning (ML) Engineers are required for creating better data analysis algorithms. They have research about new data approaches that can be used in adaptive systems. ML engineers often use other technologies like deep learning, artificial intelligence, etc. to create automation in data analysis.

Applications Architect

Firms require good applications and user interfaces to run business processes smoothly. Applications architects choose or create the right application for their firms. Due to the rise in the complexity of data, firms will require better applications to manage it.

Statistics Analyst

A Statistics analyst or statistician is required to interpret the data and present it in an understandable way to non-technicians. They have to highlight the key insights in big data to stakeholders/fellow employees. Data analysis results are also used to make predictions and identify potential opportunities. You need to be good with numerology if you are thinking to become a statistician.

Data Analyst

They have to convert large data sets into a suitable format for data analysis. They also help in finding the data outliers which can affect the business. There is a lot of data generated every day as humans analyze less than 0.5 percent of data produced! Data analysts are already in huge demand in the data science industry.

Infrastructure Architect

Infrastructure architect in a firm makes sure that the applications, software(s), databases used by the firm are efficient. Infrastructure architects also help in cost optimization. They make sure that their firm has the necessary tools for analyzing big data.

Data Architect

Data architects mainly focus on maintaining databases.

Data Science CareerThey attempt to make the database framework better. With the rise of automation in data science, data architects are in huge demand to provide better solutions.

Enterprise Architect

Enterprise architects are IT experts and provide firms with better IT architecture models. They suggest stakeholders & senior managers in choosing the right IT applications for data analysis. Top companies like Microsoft, Cisco, etc. hire enterprise architects for maintaining their IT framework.

Data Engineer

Data engineers are required to create a good data ecosystem for their firms where the data pipelines are maintained. Data Engineers are required to choose better data analysis applications to provide real-time processing. They also help in making the data available to data scientists.

Conclusion

Data science is a growing field and there are a lot of job opportunities. You can learn Data Science Courses in India from a reliable source like Imarticus learning. One can also target any particular job role in the data science industry and should learn the necessary skills. Start your post-graduate program in machine learning now!

How Businesses Are Building Futures With Data Analytics?

Posted on by Imarticus Learning

Data analytics handles the raw data from the resources using technology, algorithms, and mechanics into a simpler and human-friendly version to help data businesses and organizations. It is now an important factor that drives the business as well as the decision-making process in everyday lives.

In one way or the other, business and organizations depend on data analysis to improve their trade. It wouldn’t be wrong to say that business analytics and Artificial Intelligence have both a major role in building the future everywhere.

  • General analysis: A business needs everyday updates to keep up with the market and trends. It is necessary to identify the low and high points to work on these areas to make the necessary changes. Such random analysis can find new opportunities and can predict the capability of the new strategies.

    This is highly important for all types of businesses in any field. Whether it is the retail, healthcare, medical, technology, food industry, online industries, etc. They all rely on big data to help improve their services.

  • Business improvement: The pandemic has brought the world to a standstill for a while. It is now slowly improving its pace but there are several companies and businesses that suffered a huge loss. In order to get their business back on track, they can rely on data analysis. Finding what is trending or what the public is expecting is the key to a restart. Identifying the trend allows planning and strategy to make necessary changes in the projects to make it plausible for the future and improve the business.
  • Automation: Automation is something the general public does not think about too much but most of them are using it every single day. The use of AI and Machine Learning has integrated to come up with ideas such as Alexa, Siri, Google voice, etc.

    Apart from these, voice-controlled automobiles, electric devices, etc are all part of this. These are definitely in the initial stages right now and have better prospects for the future where they can be applied in many more domains and areas. It is even possible to attract more customers and urge them to use the same.

  • Managing data: The biggest huddle in data analysis is managing the raw data. With the accumulation of data growing in every department of life, it is significant to have proper usage of the stored data. Data analytics Certification could be used to find ideal solutions for the problems in each department.

    Data is useful for every business and department and it is up to the data scientists to find the use of these pieces of information. This is exactly why data scientists are the hottest job profiles in the current scenario. They are needed by every business to build their future by creating strategies for success and predicting their prospects. Since people provide their data in one form or the other through various mediums, managing this data holds a key role in the future of businesses and public lives.

Conclusion
Data analytics was started as a part of technology is now an integral part of lives that has an impact on almost all levels and departments of life. Such reliance on data increases the competition between businesses and it can be healthier when they can identify their key to success from the data available.

But ultimately, it all comes down to how each of them identifies and interprets the same pool of data with their insights and implements them along with the same pulse of the public. After all, going with the trend is more reliable than finding something new and making it successful.

Why Working Professionals Must Learn Business Analytics?

Posted on by Imarticus Learning

The business world is currently witnessing the worst catastrophe ever. Employees across the world are struggling to save their jobs. It is tougher to get a new job, even though there are opportunities around. But what decides who gets the prize?

Business Analytics CourseBelieve it or not, professionals who have undergone a business analytics course have a better chance of landing jobs when compared to those who don’t. Learning about analytics works for the advantage of the company as well as for the professionals.

Multi-skilled professionals score more!

The need of the hour is multi-skilled professionals since several companies are paring down their employees to cut their expenses. At this moment someone with multiple skills in a wider area becomes an asset.

The profile of a business analyst covers different areas such as data mining, research, technology, analysis, communications, etc. The analyst is the one who goes through data to come up with the right solution for a problem in business.

A business analyst is someone who identifies the pulse of the customer to find out what is expected and how to deliver the expected quality product. The analyst will need to go through an endless range of data to find out the key factors that work and then implement it most effectively.

It is the implementation part that requires the use of the different areas of expertise expected of a business analyst. Someone who is knowledgeable in this area is most likely to score above the other fellow workers.

Going with the tide

Professionals are taking full advantage of the current work from home scenarios. Not all of them are enjoying some time at home. Instead, they have enrolled themselves in several courses to upgrade them in their profession.

Learning analytics is definitely on the cards for several of them. Not only would it allow them to learn something new but also make them eligible to test some new waters.

Business Analytics CourseBusiness analysis is definitely one of the best options for freshers. Luckily for them, there are a number of business analytics online training options that they can choose from. Undoubtedly, it will be a new opening for them while helping them swim with the flow.

It’s part of the competition

From the companies’ point of view, the competition between them is getting tighter and the best way to get the edge is to find professionals who are capable of raising the bar. Getting the most skillful person wins half the game.

In order to fulfill such roles, the employees need their skill set polished and upgraded. The scope for a business analyst is higher since the finance as well as the business sectors rely hugely on stored data. The success of any business depends upon how the data is utilized in the best way that reaches the customers.

Bottom Line

The business analysis course makes way for improving knowledge for professionals. At the same time, it also helps them polishing their leadership qualities. This is one profile that qualifies for someone starting from scratch or for a well-established business. Both of them need the assistance of data analysis to grow their respective businesses.

What makes it more appealing is the fact that any professional from any background can become a business analyst and end up making crucial decisions that change the course of the businesses.

Data Science Job Opportunities Continue to Surge in 2022!

Posted on by Imarticus Learning

Data science has revolutionized the functioning of almost all industries in the world today. The creation of data is the highest at the moment due to the widespread process of digitisation. Therefore data science tools and technological advancements are being deployed in order to push further productivity amidst all organizations.

With this, there is the provision of Big Data, Machine Learning, Data Analytics, Data Mining and Data Analysis thus creating large importance for this technological field.

All businesses and organizations require efficient and quick problem-solving methods. This is offered by data technology, having the ability to analyze and comprehend large sets of data in order to resolve a variety of problems in a fast-paced and accurate manner. This is a much more sought after a method as compared to the completely engineered solution.

The development of proficient machine language algorithms and a change of direction from analytics that were descriptive has resulted in driving progress. Predictive analytics and maintenance have slowly been gaining popularity amongst industries and this popularity only seems to be growing.

Data Science JobsThe demands for various data science services have been seeing a large surge all over the world as researchers for the market predict its magnification in the near future. Due to this increased demand, the path for various other talents and job aspirants is clearing. This would allow them to try their hand and work hard while in this genre of work. The vast number of technologies in relation to data are creating large opportunities for up and coming data professionals to seize.

With an estimated increase of over 1 lakh new job openings in the present year of 2020, which is a little more than a 60% increase from the previous year (2020), aspirants have a large number of openings to prove themselves with a data science career. Almost 70% out of these job opportunities are for budding professionals with experience less than or up to five years.

In a bid to remain in the fast-paced competition of today’s market and maintain relevancy, organizations, businesses and various other companies are taking up newly emerging technology. Due to a large amount of data that is being created, data technology and science is the answer to mining insights that are actionable for businesses.

There is thus a very large scope in this field for data science professionals set in the present year, 2022. This year has been the best year for Data science and furthering its opportunities.

Industries of energy, pharmacology, healthcare, media, retail, e-commerce, etc. are creating a large number of job opportunities in the field with average potential salaries going from 10 lakhs to even 14 lakhs per year.

The industry of data science had been previously (2022) facing a large shortage of skilled professionals which have increased in large numbers this year (2023).

By taking a data science course aspirants will be well equipped with all the necessary information in order to succeed in their future data science career.

Job Opportunities in The Field of Artificial Intelligence in This Pandemic Time!

Posted on by Imarticus Learning

To become an Artificial Intelligence (AI) professional, you need to have practical problem-solving skills, logic, communication, and analytical skills. AI is made to create computer programs that can achieve goals and solve a problem better than humans. With lesser mistakes and emotions to hinder the work, AI gives better and jan efficient output.

The scope in AI is vast. You can get into robotics, gameplay, language detection, machine learning, computer vision, speech recognition, and many more.

Some of the factors that characterize a great career in AI are as follows:

  • Robotics
  • Use of sophisticated computer software
  • Automation

Math, technology, engineering, and logic are some of the specific fields that individuals have to specialize in if they are considering a job in this field.

Along with this, learning science including physics and computer studies is beneficial.  Considering the computational approach to AI, knowing the technical, as well as physiological knowledge of the system, is immensely helpful. Knowledge of primary machine language is a must. There are many other courses that you can do to get into the world of AI like, Machine learning.

Data Science Online CourseMany institutes like IIT provide machine learning courses, there are other institutes that provide these courses online and then there are certification courses that you can take up in private institutions.

Some of the career opportunities in AI

  • Robotic Scientist

Robots are gradually taking over the industrial worlds. There is lesser workforce and more robots. To help create such robots that can solve problems as a human would, we need engineers or programmers. For a career in Artificial Intelligence field, a master’s in robotics engineering and having a license from the state can be of help.

  • Software Engineer

In every phone that is there in the market, there is an option for face recognition or finger print recognition. Many companies, including big businesses, security companies, casinos, etc. have face recognition and fingerprint recognition to understand the people who use their services. Hence being a software engineer is one of the opportunities here.

  • Game Programmer

To keep the players challenged and highly anticipated, every gaming company requires candidates that are well known with the basics of AI and can design games that can keep the players engaged and interested.

  • Search Engine Manager

Many big companies, like Google, pay a massive amount to candidates with an AI degree to manage their massive search engines. Many may search for various things on Google, but Google search is able to predict the search even when there are spelling mistakes or grammatical errors. This is done with the help of knowledge and the study of artificial intelligence.

  • Government Sector

There are jobs not just in the Private sector, but there is an intense need for candidates with a degree in AI in the government sector too. The pay is high, and along with that, the amenities provided are even better.

Conclusion

The scope of artificial intelligence is vast. Having a master’s degree or a doctorate is the best if you are looking for a long term job in the field of AI.

The demand for people with knowledge of AI is strong. Companies like Google, Apple, etc. are always on the lookout for candidates who can take the world of AI to another level. The choices are plenty, and the income from working in such a field is high.

‘Eve’, a robot created by the scientist at the University of Manchester, Cambridge, discovered that a common ingredient found in toothpaste is capable of curing malaria. This event, itself, can show how much this field has grown, and the job possibilities are endless.

The Top Data Analytics Certifications in 2020 For Advanced Data Expertise!

Posted on by Imarticus Learning

The explosion of interest in technologies such as the Internet of Things (IoT), Big Data and Artificial Intelligence (AI) has stepped up demand for data scientists and analysts over the past few years.

Advanced capabilities in data analytics are just too critical to ignore at this point. In a matter of years, they’ve reached out from a niche sector to nearly every industry that generates any form of data. However, data analysts with the right mix of skills, experience and spirit of innovation are quite rare. This means businesses are well away from realizing the true potential of their data dumps and the insights that can be garnered from it.

Big Data Analytics Certification CoursesIf you’re interested in pursuing data analytics jobs sometime in the future, it is advised that sign up for big data analytics training opportunities within or through your company. If you’re a student or a fresh graduate, enrolling in a Data Analytics Certification Course is a sure-fire way to strengthen your core competencies and upgrade your skillset in the process.

Here are some of the top data analytics certifications you could choose from in 2020:

  • SAS Certified Data Scientist

To earn the SAS Certified Data Scientist certificate, you will need to pass all 5 SAS Certified Big Data Professional and SAS Certified Advanced Analytics Professional levels. They consist of two and three exams respectively. The exams test a student’s knowledge in big data preparation, programming, statistics, predictive modelling, text analytics and visual exploration.

Upon completing the exams successfully, the newly-certified professional can gain insights from big data using SAS tools as well as open-source options. The professional will also be skilled in creating machine learning business models to derive insights and influence decisions at a higher management level.

  • Microsoft CSE (Certified Solutions Expert)

This certification deals with data management and analytics. It consists of 12 exams; however, aspirants will first need to earn at least one out of the seven MSCA (Microsoft Certified Solutions Associate) certifications. The costs of the exams don’t include the training material, which a candidate can source directly from Microsoft.

This certification prepares you for building data solutions at an enterprise level and applying Business Intelligence approaches to big data. It also prepares you for the administration of SQL databases. After obtaining this certification, job roles such as database analyst, BI analyst and database designer are well within your reach.

  • IBM Data Science Professional

This beginner-level certification demonstrates the skills of an individual in the subjects of data science such as SQL, Python, data analysis, basic methodologies and open source libraries. The candidate will need to complete nine courses spread out over 12 hours per week for a total of three months. These courses will include practical experiments and assignments that contribute to the individual’s portfolio. The professional certificate earned at the end of the courses is branded with the IBM logo and add weight to any data science-oriented resume.

  • Cloudera Certified Associate Data Analyst (CCA)

The CCA certification requires that candidates pass the CCA159 Data Analyst exam, which is a set of 8 to 12 performance-heavy tasks on the Cloudera Enterprise cluster. Each task is allotted 120 minutes and involves analysing a problem and coming up with a technical solution that covers all bases and is highly precise. The Data Analyst training course from Cloudera helps candidates prepare for this specific exam.

By successfully completing this exam, SQL developers will be able to demonstrate core competencies in Cloudera’s CDH setup through using Hive and Impala.

Conclusion

Data analytics allows industries to revolutionise their business operations and implement insights gained from sifting through previously unstructured big data. Data analysts with any of these certifications in their kitty can expect to rise to the top of the CV pile.

Imarticus Launched The Campaign – A Paid Scholarship!

Posted on by Imarticus Learning

Times are highly unprecedented in the pandemic. But many of us have bravely fought the COVID war.

 

Our frontline workers have put their lives on the line and made countless personal sacrifices for dealing with this situation. At Imarticus Learning, we salute all these warriors.

We are honored to launch our new campaign – ‘The Joy of Giving’ For Providing 100% A Paid Scholarship” to professional tech-based training courses to COVID warriors and their dependents.

The scholarship is aimed at motivating the learner in you.

There are various ProDegrees available on the scholarship covering different disciplines.

You can choose from:

Data Science Prodegree – Knowledge partner KMPG

Financial Analysis Prodegree – In collaboration with KMPG in India

Digital Marketing Prodegree – Industry knowledge partner Digitas

Credit Risk and Underwriting Prodegree – In collaboration with MOODY’S Analytics

All the programs are for in-demand professional careers and will provide you with the necessary skills and knowledge to break into them and secure a bright future for yourself.

Data Science Course

Data Science course is one of its kind program in India that provides data science online training with a cutting-edge curriculum, case studies, and real business projects.

It will equip you with practical knowledge of working with data analytics tools like Python, R, SQL, etc. This course can open doors for a variety of data science careers like Data Analyst, Data Scientist, Machine Learning Engineer, Data Visualization Specialist, etc.

Financial Analyst CourseThe Financial Analyst course is a skill-building program that covers various core concepts within the financial analysis domain such as Accounting and Financial Modelling, Equity Research, M&A, Job Readiness, Valuation and Corporate Strategy, etc.

After finishing this course, students can build a career as a Financial Analyst, Corporate Finance Manager, Asset and Wealth Management Associate, etc.

Digital Marketing CourseThe Digital Marketing course offers hands-on knowledge and experience of working in the digital marketing domain through its industry-specific projects.

The curriculum includes brand case studies, simulated projects, real website capstone projects, and industry mentorship, to name a few. The Digital Marketing Training will help you in getting job roles like Performance Marketing Manager, SEO Specialist, Content Strategist, Social Media Manager, etc.

The Credit Risk Underwriting course is focused on providing an in-depth understanding of credit underwriting, lending landscape, credit administration, legal and regulatory requirements, etc.

Credit Risk Underwriting CourseThe program not only prepares you for a future career in credit risk underwriting but also provides placement services to help you build a substantial career in this field.

After the end of this course, you will be eligible for many careers including Operational Risk Manager, Risk Analysis Researcher, Credit Financing Manager, Credit Analysis Associate, etc.

Anyone who fulfills the eligibility criteria for the COVID Warrior scholarship can nominate themselves or anyone they know for a paid scholarship for these programs. The nomination process is quite simple.

All you have to do is follow us on Social Media –

Imarticus Scholarship       Imarticus Scholarship      Imarticus Scholarship        Imarticus Scholarship

And tag yourself or someone you want to nominate using the #ImarticusScholarships. There is no limit on nominations. You can nominate as many people as you want. The team of Imarticus will reach out to you with the next step of the selection process.

All the nominees will be required to submit an essay on the experiences of their fight against coronavirus. The Imarticus selection panel will choose the best 25 essays among them. They will be asked to provide attestations of their Supervisors/Reporting Managers/Head of Department certifying their societal contributions during the pandemic.

Imarticus ScholarshipAfterward, the shortlisted 25 essays will be featured on Imarticus Learning’s social media handles. The top 4 essays that will generate the maximum engagements from audiences will be offered 100% paid scholarships for the Prodegree programs.

The last day of filing your nominations is Sunday, 29 November 2020. So hurry up!

Don’t miss this great chance of learning with #ImarticusScholarships

What is a Business Analyst’s Job Description

Posted on by Imarticus Learning

What is a Business Analyst Exactly

A business analyst is a person that is responsible for paving a road to bring together two areas, IT and business, with the help of data analytics. Data analytics helps in the assessment of various processes, determining of various requirements and delivering data that is recommendation-driven along with reports to the stakeholders and company executives.
Business analysts engage with various company and business leaders, as well as users, in understanding how changes in regards to processes, products, tools, services, software and hardware (which happen to be driven by data) can improve efficiency and increase value. They must have the ability to articulate and convey their ideas while also being able to hold them stably against the good judgement of what is technologically achievable and financially as well as functionally feasible.

Any skilled business analyst would be responsible for implementing and supporting a business’s information system across various departments. Problem identification and ability to source out and identify opportunities within the company are important responsibilities that they hold. They are ultimately responsible for providing solutions that would help in achieving business goals. They also help in developing initiatives and plans that would optimise financial decisions and thus profits.
Using a business analyst course may be the best way for aspirants to get their headstart into earning a business analyst job.

What Are the Duties And Responsibilities of a Business Analyst Job?

Before diving into this field, one must understand what exactly the responsibilities of a person with a business analyst job are. As mentioned above, a business analyst needs to work closely with the various financial as well as the IT teams in order to promote the establishment of initiatives and varying strategies. These would help in the improvement and optimisation of costs. They would need a very good understanding of regulatory as well as reporting requirements. A business analyst would also need to have a large amount of experience in regards to predicting, budgeting, analysing of finances and identification of major indicators of performance.

The business analyst job description thus generally includes the following:

  • Analysing the business in detail, identifying the various issues, solutions and opportunities for improvement in the business
  • Ability to plan and budget things well
  • Formulating accurate predictions as well as monitoring
  • Ability to perform variance analysis
  • Pricing
  • Outlining the various requirements of the business and reporting these back to higher-ups like stakeholders and senior company executives

Along with playing a key role in performing modelling in various financial and operational areas, it is also expected of a business analyst to develop various novel models to underpin good and rational business decisions. There should be recognition of the streamlining as well as improvement of reporting, internally as well as externally.
The final goal of this is to provide the business with a variety of financial insights that would thus help make the process of making any decision smooth and easy. It would also help in aligning the capital and allocation of various resources within and across the organization’s budget. The position calls for driving fresh initiatives in order to better plan and intelligence systems.

A large number of people are interested in filling the position of a business analyst. But the question lies in how one must put their foot forward to gain way into the position. With the help of a business analyst course, aspirants will know exactly everything needed for them to succeed at their business analyst job. A business analyst course would equip an aspirant with all the necessary and required tools to land a secure position.

Also Read: Business Analyst Career Path