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Day: October 5, 2021

What is the Difference Between a Business Analyst and Business Intelligence?

Posted on by Imarticus Learning

When the business analysis markets are expected to hit the 20 billion mark and considering that business analytics actually makes the business five times faster, better informed and effective, it gets a little confusing when people mix up the terms “BA-Business Analytics” and “BI- Business Intelligence” and use them interchangeably when the two areas are really different.

Let us explore how we can define the two areas and what their differences really are.

A Brief Definition:

By definition BA means the technology and approach behind the data analysis where one can establish trends and gainfully cull insights into business data with the ultimate goal of boosting the planning, efficiency and productivity of a business’s future goals and performance.

It is a Why- approach to business needs. The Business Analyst depends on the use of the predictive models, specific data sets and statistical analysis to justify why a business decision needs to be taken based on predictive analysis of future performance parameters.

BI refers to the analysis of the same business data on a wider scale and with large volumes of unstructured data and focuses on the how and what- approach to business needs involving what and how you can use and mine raw data, the tools required for OLAP, querying, data management and reporting etc, to align and draw out the business performance goals and stimulators based on both prescriptive and predictive analysis.

You can learn all of these by doing a Business analyst course.

The Differences Table:

Here are some of the key differences explained below.

1. BI reports analyzed data as against BA which uses technology and tools to perform data operations.

2. BI uses current, past and historical data in comparison to BA where past data is used to gain foresight or extract insights. Both have the same goal of increasing productivity, efficiency and use data to achieve business results.

3. BI is the method or process whereas BA comprises of inputs from BI to arrive at the visualized and extracted information.

4. BI provides insights drawn from the data in use while BA is the process of working on the data and arriving at solutions for the use of Big Data in use.

5. BI appears to be a part of BA which effectively uses information management, data warehousing, business applications, security measures, and risk mitigation.

6. BI uses a combination of predictive and statistical analysis and modelling in comparison to BA which works on huge data volumes to analyze, retrieve, publish and make reports on it.

7. BI uses sets of structured data drawn from applications like the ERP or financial software applications while BA cleans and works with unstructured data while transforming the data into valuable meaningful data for BI.

8. BI normally is restricted to dashboards with a user-interface in comparison to BA which relies on a vast armoury of tools and software applications.

9. BI uses the same format and a sub-set of data for insights while BA works on the raw data to transform it into various databases to draw out trends and foresight.

10. BI roles like executives, analysts, and managers use pivot tables, reports and the dashboards while BA analysts use past BI reports and capacities to help get tasks done with the required BA information.

11. BI is about Big Data access and control over data while BA focuses on handling the data

12. BI focuses on effectively running the business process while BA brings transformational changes to make the enterprise’s processes more effective and productive.

13. BI is a subject in the field of the ever-popular BA.

14. BI uses tools like for analysis in real-time, data-reporting, Mapping Analysis, OLAP and Dash-boards in comparison to BA tools like requirement and use-case, user stories, data, SWOT analysis, predictive modelling and such.

Conclusion:
Let us now elucidate on the table to sum up our differences. No, Business Analytics and Business Intelligence are different and should never be used interchangeably. The field of BA is vast and with growing data and the need for BI is increasing and encompassing all processes and all fields.

To be a good Business Analyst one needs to learn business analytics too and it goes without saying that to be a good BA analyst BI is essential. The debate ends when the needs and end goals are met through doing a Business analyst course. So, here’s to analyzing, using and predicting insights well using both BA and BI. All the best!

How Machine Learning Systems Can Streamline Healthcare Disbursement Setups?

Posted on by Imarticus Learning

The ripple effects of the COVID19 pandemic have been felt across industries at several levels. The healthcare industry wasn’t spared either, with essential healthcare workers moving to the frontlines to deal with the emergency. As a result, many organizations saw their back-end operations, such as appointment bookings and disbursement trackers, floundering.

However, there is a silver lining in this situation– it’s that technology has speedily been integrated into systems. Telehealth software has seen a surge in demand so as to prevent risks of exposure; healthcare disbursements are next on the list to be made easier.

Healthcare disbursements are traditionally tricky and convoluted processes; the pandemic has put further amounts of strain on the system and caused frustration, delays, and errors. However, machine learning in healthcare is a step forward in fixing disbursement delays.

Here’s how:

  • Moving from Checks to Digital Disbursements

A majority of disbursement systems around the world rely heavily on cheques and other outdated methods. However, this has become a point of friction at this time considering courier services have shut down and deliveries are very delayed. In such a scenario, the use of digital reimbursement options, bolstered by machine learning, is tempting.

Providers can facilitate faster payouts through DTC (direct-to-consumer) payments. By shifting the process online, providers will also be able to keep track of all patient and consumer data on one server. Machine learning can be used to pull up the relevant information, create automated disbursement setups, and ensure the consumer receives their disbursement digitally. The reduced reliance on paper payment processes will lessen the load on healthcare finance systems as well as get disbursements out to the right people in a flash.

  • Addressing Glitches in Systems

Several reports talk of misplaced cheques, incorrect deposit information, and several such kinks in telehealth and digital healthcare solutions being used today. Machine learning can be leveraged to iron out these kinks because, especially during a healthcare crisis, such errors can have a snowball effect on consumers and providers alike.

Providers who use machine learning systems to manage delays will be able to maintain strict records of past and future payouts. The system can be trained to collect the right deposit information as well as cross-verify with other records if required. The reliance on an automated system, in this case, equals to a lesser reliance on outdated methods of payout tracking.

  • Simplify User Experience

Claiming payouts and processing them can become a nightmarish experience for both patients and healthcare providers alike. Machine learning systems effectively reduce quite a number of manual steps which, in turn, saves time, money, and efforts. Machine learning can be leveraged to extract critical information from healthcare contracts, estimate how much is owed, and prepare the right documentation in time for a payout.

For patients, too, the process of claiming payouts become simpler. They will no longer have to fill out a myriad of forms and move from office to counter over days. Instead, by automating certain processes from the providers’ ends, patients can be called in only to verify details if necessary and to provide any other physical documentation the healthcare provider may need.

Conclusion

The healthcare industry will most likely see a surge in the adoption of machine learning and artificial intelligence. This will be across the board– from handling disbursements to automating admissions and discharges. Therefore, students who are interested in pursuing an artificial intelligence career would do well to explore this niche and develop the right skillset for it.

You can do this by enrolling in a machine learning course that focuses on the healthcare system, or take on related projects that could leverage your portfolio when it comes to it. The current strains on healthcare providers worldwide have exposed significant cracks in the system that machine learning could most likely fix.

The Crypto Takeover: Are Crypto asset markets moving too fast for clear regulation?

Posted on by Imarticus Learning

Cryptocurrency is a type of payment that may be swapped for products and services online. A lot of firms have built their own currencies, known as tokens. They can be swapped for the goods or services offered by the firm. Crypto assets are digital assets that use cryptography techniques to generate a financial transaction medium of exchange. Crypto assets include cryptocurrencies, utility coins, and security tokens. To have access to the good or service, you must first swap actual dollars for cryptocurrency.

Cryptocurrencies use blockchain technology to function. Blockchain is a distributed technology that manages and records transactions across multiple computers. This technology’s security is what distinguishes it. Financial modeling courses on cryptocurrency, such as a chartered financial analyst course will help one gain deeper insights into it.

Cryptoassets mark a profound transformation in financial markets and have gained prominence in recent years. Cryptoasset technical innovations have come a long way and have the potential to upset the financial system. Central banking institutions and other banking institutions can help shape this landscape.

This worldwide phenomenon is causing uncertainty in numerous ways, including how individual crypto assets differ from one another and the role of the major participants in the crypto-asset ecosystem. With the hype surrounding bitcoin, altcoins, cryptocurrencies, and tokens, an entirely new financial environment has emerged.

Why is regulation required?

Regulation is one of the most critical variables influencing the price of bitcoin. Every time a government cracked the policy whip, the cryptocurrency’s rise was halted, with countries taking varied approaches to bitcoin regulation.

AML standards have been improved as authorities and financial institutions get a better knowledge of these illicit operations. However, these adjustments have been mainly reactive and trial-and-error in nature.

To resolve these concerns of the rapidly expanding blockchain ecosystem, the European Union has begun implementing more strict financial laws that strengthen the regulatory structure and improve authorization models. Many member states currently regulate crypto assets on an individual basis, with Germany leading the way as the first to do so.

These individual regulations outline the conditions for acquiring and keeping a financial license from the government, clearly prescribing the road for crypto firms. Compliance, by definition, improves investor confidence and safeguards them.

Different governments have taken various ways to regulate cryptocurrencies. Digital currencies have been banned in Vietnam, Bangladesh, Kyrgyzstan, Bolivia, Ecuador, etc.  Russia and China are on the threshold of outlawing them.

Cryptocurrencies are unregulated in India, the United Kingdom, and Brazil. However, these are regulated and lawful in nations such as France, Finland, and Germany. Individuals are permitted to use bitcoin in their transactions in China, but organizations and banks are not permitted to do so. It is prohibited in Iceland to buy or sell bitcoins, but they can be produced.

There is currently no distinct law in India dealing with cryptocurrency concerns and it is unregulated. As a result, all pertinent departments and law enforcement agencies, such as the Reserve Bank of India (RBI), Enforcement Directorate (ED), and income tax authorities take appropriate measures in accordance with current laws. Similarly, the Indian Penal Code is enforced by the police and the courts. In addition, there are a number of other vulnerabilities and threats involved with bitcoin.

Conclusion:

It is a pressing need to regulate cryptocurrencies as well as recognize them as legal cash, with adequate safety and surveillance measures in place. This is essential in third-world countries where the majority of citizens are not technologically or financially competent. This is largely attributable to the fact that India’s economy only opened up a little more than a quarter-century ago.

Financial modeling courses such as a chartered financial analyst course might be the right boost for a flourishing career in this field.

Which Is the Best Artificial Intelligence Course of 2021?

Posted on by Imarticus Learning

In today’s technological era, machines are everyday partners of humans. Artificial Intelligence (AI) has a crucial role in determining the intelligence of machines.

In 2021, many businesses and public services rely on AI for day-to-day operations. College graduates and young enthusiasts are learning AI to build a successful career. There are many AI courses in the market and, it can get difficult to choose one. Read on to know the best AI course of 2021 and why one should learn AI.

Why learn artificial intelligence?

 The reasons one should look for an artificial intelligence course are as follows:

  • Many organizations and businesses are adopting an AI strategy. The rise of automation in the industry processes has fuelled the demand for AI experts. By opting for an artificial intelligence course, you can future-proof your career.
  • Since AI is a new-age technology, there is a shortage of expert individuals in the industry. An AI professional earns a handsome salary and will always be in demand.
  • Gone are the days when AI was only used by robotics and the space industry. Nowadays, AI has become a versatile technology that is used by numerous industries. Some popular sectors that use AI are healthcare, logistics, finance, banking, and legal sectors. You will open multiple future career prospects for yourself by learning AI.

Why go for online training?

Educational institutions usually do not provide certification courses to students. They offer a complete degree program in which AI is just one of many subjects. If you are willing to only study AI, you would have to go through the whole degree program. It is where online training is a boom for AI enthusiasts.

Also, the recent pandemic (COVID-19) led to the suspension of classroom lectures. Online training has helped AI students during the pandemic period. Working professionals can also commit to an online program easily while continuing their job. However, you need to choose industry-oriented AI ML courses that make you job-ready. Imarticus Learning is a reputed EdTech platform that offers AI ML courses with an industry-oriented curriculum.

 Why choose the AI/ML course of Imarticus Learning?

Imarticus provides a Certification in Artificial Intelligence & Machine Learning that is 9-month long. In association with IIT Guwahati, this AI/ML course is a blessing for AI enthusiasts amidst the pandemic. Besides this certification program, Imarticus offers many other artificial intelligence and machine learning courses like PG Program in Data Analytics & ML. The reasons one should choose the certification program in AI/ML from Imarticus are as follows:
artificial intelligence and machine learning courses

  • This course is offered in association with one of the most premier institutes in India i.e., IIT Guwahati. You will get to learn from academic professors and industry experts.
  • Imarticus strictly follows an industry-oriented curriculum that makes you learn job-relevant skills for the AI/ML industry. During the certification course, you will work on 25 real-life industry projects that will make you job-ready.
  • Some of the top languages and tools covered in this certification course are NumPy, TensorFlow, OpenCV, Spyder, Pandas, and Jupyterhub.
  • Imarticus also offers career services at the end of the certification course. Professionals trained by Imarticus in the past work in some of the top organizations of the globe like Accenture, Standard Chartered, Oracle, Deloitte, KPMG, Infosys, and Tata.
  • This course will also offer a 3-day campus immersion program where you can interact with the peers and faculty members of IIT Guwahati.

In a nutshell

Imarticus provides some of the best artificial intelligence and machine learning courses in India at affordable rates. You can also get a scholarship of up to 40% for the certification course in AI/ML offered by Imarticus. Start your online artificial intelligence course now!

Why is a Supply Chain Certification Lucrative in the next 10 years?

Posted on by Imarticus Learning

Supply Chain Management (SCM) oversees the manufacturing of a product from its origin until it reaches the consumer. Although it may sound simple, it involves several processes and thus requires a set of skilled professionals to ensure its smooth functioning. It is such an essential job profile that people are rushing to find an ideal Supply Chain Management course to become qualified.

Not only is it popular these days, but its prospects also don’t seem to dim in the next 10 years. Could these be the reasons why the supply chain management career is going to be lucrative in the near future as well? Let’s find out!

It offers diverse job opportunities

The SCM career options are so vast that it is difficult to find which one would be the best. These days, every product in the market would have undergone countless planning processes, material procurement, assembly, production, inventory management, and many more steps. Each of these areas comes under the SCM and will need professionals with special skills. It also involves almost every industry in one way or the other, so the diversity of job opportunities is numerous.

Ideal for skill development

supply chain management courses

Skill development is trendy these days. A supply chain management career opens up the opportunity to brush up on several skills. These skills include management, interpersonal skills, communication, teamwork, networking, etc. They apply to all industries, so it is a great way of formulating a wonderful portfolio of both professional and personal skills. Sometimes it can be more productive in skill development than the leading supply chain management certificate course online.

Suitable for all

This is a wonderful career without the hassles of a corporate ladder where everyone is pressured to reach the top. A career here will let you enjoy success and give satisfaction with the prosperity of the company as well. There are opportunities for both management and executive roles and you can still reach the top positions.

Compatible with the technologies

A supply chain is a global industry that is now involved with the latest technologies as well. AI, predictive analysis, automatic cars, drones, etc., all can combine with the supply chain to make each industry successful. This will force people to be more adept at analytical and management skills with an awareness of the overall end-to-end happenings in this field.

Finding the best Supply Chain Management Course

There are plenty of supply chain management certification courses available online. But what makes the Professional Certification In Supply Chain Management & Analytics course in collaboration with the IIT Roorkee different is its hands-on learning process dealing with real-life SCM projects.

supply chain management courses Other than being a top course endorsed by an IIT, this allows the aspirants to become better at decision making. It also permits an in-campus interaction with other students and faculty.

By solving real-life industry problems, it helps in creating a personalized portfolio to impress companies. On top of that, the analytics help in combining the SCM with data and generate a few techniques to make data-centric decisions.

The best course should have a sparkling curriculum that has every step involved in the management from designing to the sales operation. The course could last anywhere from a few weeks to one year. The salary prospects after the completion of the course could be in the range of 3.5-20 LPA, depending upon the qualification, skills, and experience.

Conclusion

People often have different interests in their career and SCM is a fantastic option that can open up opportunities in almost every field. They can have a different career but could still be within the supply chain.

Intuitive tools to power your pitch, structure better deals, and climb the league tables in Investment Banking Operations

Posted on by Imarticus Learning

The investment banking sector is a section of the banking and financial services business that assists organizations in raising funds and also provides advice and consultations on a variety of financial instruments available by assessing individuals’ and firms’ needs and risk appetite. These days taking up an investment banking operations course will assure you a very good job in the banking industry.

What is a pitchbook and how to make a powerful pitchbook?

A pitchbook is a sales book used by investment banks to market products and services to potential clients. The goal of a pitchbook is to close a deal with potential clients. It gives a general picture of the company, including historical information, financial strength, and services available to potential clientele.

Points to remember while making a pitchbook:

Introduction:

This part is used by the bank to explain who they are and why they are the greatest in the industry. It gives a summary of the transactions it has successfully managed as well as some of the industry accolades it has received in the past. It also offers information on its position in the sector.

Updates on the market:

The market update section displays the current situation of the financial markets. This section will pique the client’s attention because it contains the bank’s thoughts on the direction of the financial markets.

The strategy of transaction:

This part describes the strategy that the bank will employ to suit the client’s needs, depending on whether the client wants to issue an IPO, sell a business, or locate a strategic partner.

Methods of Valuation:

The bank demonstrates the appraisal methodologies it employed to arrive at specific findings. For example, the bank may utilize comparative analysis to compare the client’s business to other enterprises in the same industry.

Appendix

The appendix section provides backup information for the information presented in the pitchbook’s body. It is added as the pitchbook’s final section and contains information on the assumptions used in computing future projections, financial reports, and so on.

How to structure better deals?

To establish a fantastic deal structure, aim for a win-win scenario in which both sides’ interests are effectively protected, the deal and risks are kept to a bare minimum. Win-win deal structures are more likely to result in a completed merger or acquisition transaction and may even shorten the time required to complete the M&A process.

 Three ways of structuring deals:

  1. In an asset acquisition, the buyer purchases the selling company’s assets. If the selling business chooses a cash transaction, an asset acquisition is usually the optimal deal structure. The buyer selects which assets to buy.
  2. In contrast to an asset acquisition, where assets are directly transacted, assets are not directly transacted in a stock buy. The buyer acquires a majority of the seller’s voting stock shares in a stock purchase acquisition. In essence, it means that the buyer gains control of the seller’s assets and liabilities.
  1. A merger is the outcome of an agreement involving two different commercial companies to unite as one new organization. A merger is usually less complicated than an acquisition because all liabilities, assets, and so on are transferred to the new business.

How to climb the league table?

A league table ranks market leaders based on various indicators within a specific industry. League tables are frequently used to rate organizations that provide underwriting, financial and legal advice, and mergers and acquisitions services.

There are several ways to make your way up the league table in investment banking. By far the most obvious yet effective way is to crack higher valuation deals in the M&A segment to achieve a higher net-worth and term value.

Conclusion

As evident from the above discussion, investment banking and its operations are extremely crucial parts of the banking industry, hence taking up an investment banking operations course will easily fetch you highly paid jobs. If you are considering a career in banking, such a course will definitely add to your knowledge and experience.

Cultural-adaptation of internet and mobile-based interventions for Online MBA

Posted on by Imarticus Learning

The internet is now the primary source of information for many people. The Web has created a new way to live, work, and communicate. With this type of technology comes an increased need for cultural adaptation efforts to provide appropriate and helpful content to all cultures.

This blog post will explore how MBA students can serve by cultural adaptation methods to increase their understanding of various topics, such as globalization, business management course, and leadership styles.

business management courseWhat do you mean by cultural adaptations of the internet?

An example of a cultural adaptation of an internet resource would be an international business management course by Columbia University. To make the global content relevant to students, professors adapted parts of the system using examples from their home country.

For instance, Wu et al. (2001) mentioned that this type of adaptation could involve omitting specific material, changing the sequencing of topics, or inserting new examples to demonstrate the impact of different cultural beliefs.

How do culture and society influence the best online MBA courses?

The culture in which someone lives influences how they interpret their environment.  Therefore, international educators creating content for their target audience must clearly understand the target population’s values, beliefs, and customs.

For example, in Chinese culture, individuals value saving face and not embarrassing themselves or others. Therefore, if an international educator creates a distance learning MBA course based on western-culture assumptions, there is a risk that students from eastern cultures may misunderstand it.

distance learning MBAAdditionally, society can influence online education in those different societies to have different rules about the role of technology.

For example, internet access is available in Germany at most public places, and school-age children can use mobile phones in class under certain conditions. By contrast, Italy has strict laws against internet piracy.

What are the main challenges in designing mobile-based interventions for international online MBAs?

There are many challenges when creating mobile-based interventions to accompany an existing e-learning course. The expensive cost of developing these tools may lead some professors to avoid using them altogether.

Additionally, there is challenging to determine which devices to use to ensure that most students can freely access the content. Finally, for these mobile-based interventions to be genuinely accessible and helpful, online educators must understand how culture and society influence international students’ engagement with technology.

Why Enrol in MBA Course at Imarticus Learning

The world of finance is changing at a breakneck pace, thanks mainly to disruptive, cutting-edge FinTech technologies. The widespread adoption of financial technology has dramatically altered the global economy’s dynamics, leading to a surge in the need for skilled FinTech specialists.

The best online MBA courses combine hands-on instruction with cutting-edge technologies like APIs, Blockchain, Cloud Computing, AI, Machine Learning, RPA, IoT, and Big Data to cover every key area of FinTech. The FinTech learning experience allows the student to apply what you have learned to real-world business problems and circumstances.

Some course USP:

  • The course lets the students learn job-relevant skills that prepare them for an exciting MBA career.
  • Impress employers & showcase skills with a certification endorsed by India’s most prestigious academic collaborations.
  • World-Class Academic Professors to learn from through live online sessions and discussions. It will help students understand the practical implementation with real industry projects and assignments.

Contact us through the live chat support system or schedule a visit to training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, and Gurgaon.