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Day: June 24, 2019

Why do Corporates Need Big Data Analytics Training?

Posted on by Imarticus Learning

Why do Corporates Need Big Data Analytics Training?

Data is an invaluable organizational asset in modern times since big-data is being exploited for its value in providing business foresight and predictions based on analytics.

ML, AI, and deep learning algorithms are applied to massive data volumes to provide corporations with the opportunity to use their data to tweak their measurable efficiency, and the decision-making process, and also reach out to a larger number of employees at the same time.

And, data analytics training on big data is no single program. It is a technology combination that helps the corporations extract the best value from data and analytics tasks. 

Corporate advantages:
The important plus factors of data analytics for corporations are explained briefly below.

Database Management: Data can be from different sources and in various formats. Its quality and organizations are of prime importance before going in for big data analytics. 

Since in most large corporations the data travels from department to department, and various subsets may be added or deleted as the case may be, it becomes necessary to have an established repeatable process and a master management program format to maintain the quality of the organizational data. This ensures that the management of data is in synchronization across the organizations.

Mining and modeling of financial data: The technology for this task allows the examination of several petabytes of data produced by the moment. This task will enable you to sift through the data for relevance, and then use the subset for predictions and forecasts which hasten the decision process and in turn impact informed decisions being taken for critical and strategic decisions by the management.

Pricing and modeling using ML: ML trains the machines and AI to help it learn to recognize the patterns involved. This hastens its self-learning process and allows the algorithm to automatically move through more complex data models and still deliver accurate and desired outcomes.

This Big Data Analytics Training capacity is invaluable, especially where unknown tasks and risks are involved or where models need to be continuously auto-generated.

Storage and engineering of Big-data: Hadoop is a commonly-used, free and open-source framework which uses clustering of information on hardware to store larger amounts of data. Since data continually increases in volumes, types, and sources, the Hadoop models used for computation handles very big-data volumes and needs no license. It thus allows for using demographics, sensor data, driver data and market information all on the same platform. The best example here is of the 2000 crisis in Ford and how it overtook the competition in Asian and European markets.

Product development and analytics in-memory: Instead of using the hard disk, such a facility allows the access of data from the system memory instead. This allows quick decisions, analytics and predictable outcomes from the organization’s data. One of the most significant advantages of the system memory is that it is iterative, agile, removes latencies in processing and data preparation while providing for quicker and better decisions and analysis that is interactive especially in product development and modeling.

The task of Predictive Analysis: Here, the technology used consists of algorithms based on statistical modeling and ML techniques. Large corporates use their data for gainful business outcomes based on Big Data Analytics to make the best decision in any given scenario.

Marketing, risk assessment, and fraud detection are just some of the areas that benefit from such analysis. Were you aware that Singapore based OCBC used such insights to achieve a new customer increase rate of 40 percent?

HR capabilities and mining texts: The latest improvements are used to analyze data from text messages drawn from the surveys, comments, Twitter, web posts, emails, blogs, books, and such text-using sources. Such analytics is beneficial in strategizing for competitive leadership, the introduction of new products, newer areas for development, and establishing loyal customer relationships both within and outside the organizations.

Parting notes:
Training and cleaning of data are very important to organizations to take quick and effective decisions at the right time, especially when it comes to strategic and critical business decisions. Since data analytics comprises of a series of technological programs executed in systematic models, it is essential to do a data-analytics course before one makes a career in this field. The scope for such jobs is indeed never-ending because of the sheer volumes of data being generated and available for analysis.

Doing your course with the reputed Imarticus Learning ensures you are job-ready, proficient in data analytics and get a chance to hone your presentation skills too through the soft-skills modules. Top this with certification, and you are all set to start a great lucrative career. Do you have any more doubts? Get in touch with Imarticus today.

How Can You Prepare For a New Age Banking Interview?

Posted on by Imarticus Learning

Personalization and digitization have transformed all banking sectors ranging from identifying customers, successfully disseminating personalized information, on-boarding the client, doing due-diligence at all stages of acceptance, lending and requests until the final disbursements of loans or funds. Turning away from traditional banking procedures has meant that new age banking training has become a must to keep pace with technological and evolutionary changes in the banking system.

What is new-age banking?

New-age banking challenges hence involve upgrading traditional banking business to cutting-edge services offering services in the following three areas of online lending, banking services, and Forex transactions.

Online Lending: 

Take the case of IndusInd Bank. Their loans are now pre-approved and the ETB users log into the portal and get instant loans after meeting the online eligibility criteria. Besides, they have ramped up the loans on consumer durables, securitized loans, and more digitizing those long and time-consuming loan processes into paper-less, pre-approved seamlessly online instant transactions.

Transactions in FOREX:

This trending market also covers travel cards that are multi-currency, currency exchange at market rates and delivery of local currency at kiosks or the airport for foreign travelers. The easy on-boarding and reloading, Blockchain based security, direct product deliveries against cash-on-receipt; easy conversions of FOREX, etc are some of the USPs.

Personalized Banking Services:
 Customization of banking services through requests has made visiting the bank unnecessarily obsolete. Almost all banks have portals for account management, and payment platforms like BHIM and QR scans like PayTM have meant digitization and cashless transactions leading to higher C-SAT ratings.

Skills for a new-age banker:

To become bankable as a new-age banker be prepared to work with new age banking courses on the following attributes. You will need to have a sound academic record and at least a graduation degree. You will need  

  • Fluency in English communication. 
  • Excellent forecasting, predictive and analytical skills.
  • Analytical thinking and problem-solving abilities.
  • Sound foundations in subject-expertise are very desirable.
  • Strong manipulative skills in Excel VB Macros and such financial software.

The how-to of the interview:

New-age banking has become click dependent! Here are some tips to crack the difficult new-age banking interviews.

1. Do a course:

Firstly, consider doing New Age Banking Courses at reputed Imarticus Learning. Besides the most comprehensive curriculum, they emphasize resume building, personality development, practical project and assignment work and much more. 

2. Research your information on the job, bank, and role:

Don’t take the Imarticus new-age banking course with placement for granted. The questions you should focus on will be your academic and family background, any breaks in academics, weaknesses, strengths, why you deserve hiring and such. A lot of information is available on the bank websites and the internet too.

3. Practice and be well-prepared for the interview:

Being prepared is half the battle won! Make a list of interviewer questions and focus on what the interviewer wants from you. Here’s a cheat-list questionnaire.

General type:

  • What does banking mean to you?
  • Talk me through your CV.
  • What does the role/ present market condition mean to you?
  • What do you think this bank values can achieve?
  • Why do you want to become a banker?
  • What are your achievements/ weaknesses/ strengths?
  • How do you handle leadership/stress/ failure/ accomplishments?
  • Why do you think you should be hired?

Technical type:

  • Explain what this means to you. Financial models/ valuation methods like DCF/ Weighted capital costs/ deferred tax assets and such topics
  • How can you use bank earnings?
  • Explain how different new-age banking is?

4. Keep situational case-studies undertaken handy:

Try to link your answers with the case-studies to emphasize your learning and show coherent logical thinking throughout the interview. Polish your presentation and communication skills while practicing.

5. Dress suitably:

The new-age banker is neatly and respectfully dressed. Your attire also showcases your character, goals, and beliefs and helps make the client ready to trust you. 

Conclusion:

The total payouts in new-age banking roles are performance and bonuses oriented and are extremely well-paying in comparison to other jobs. Doing the New Age Banking Training;course helps you earn a global measurable certification which validates your skills and knowledge and is acceptable as real-life experience of the new-age banking procedures and experience requirements preferred by most employers.

In parting, if you wish to learn all about the new-age banking course with placement career- course, do your course with the reputed Imarticus Learning to emerge right atop of the rushing crowds of banking career aspirants. Hurry! Admissions are limited in every batch.

What Modeling Skills are Needed For an Analyst Working in Debt Capital Market?

Posted on by Imarticus Learning

At the very onset, let us tell you that one does not need to have extensive skills in modeling especially in a debt- capital- markets job role when working for such a firm. However, modeling skills will be required if your data needs cleaning, formatting and then analysis. Most firms use databases on equity research that are procured from other sources as well as in-house databases and the need for financial modeling is a bare minimum.

It is important though to track the indices for outstanding debt, share repurchases, cash, pending acquisitions, etc. since they foretell debt retirement, future issuances and such which may be required when advising clients.

Any capital market tutorial should begin with answering questions related to what the DCM actually is. Most companies prefer to turn to DCM markets when they need funds for expansion but do not want to trade in their private ownership tag.

The DCM market is ideal since they deal with the sale of units called bonds. For the investors in bonds, this is a fixed-income investment where on redemption they get their money back along with attractive interest. To explain this Capital Market Courses concept assume you buy a bond of 1000Rs face-value with a redemption date of 1 year.

After a year the bond can be redeemed at 100Rs plus the interest rate which may vary. When bond prices fall the interest rate moves up and vice versa. If you get 1100 Rs your interest rate is 10% and is much higher than the FD rate of 6-7 %. The investment is low-risk and earns a fixed interest rate. Such funds are a short-term boon for firms needing funds for expansion without the dilution of ownership. It’s a win-win deal for both.

The different types of bonds:
The bond types are risk-of-default related and can be categorized as

  • The government bonds are at low-risk for default.
  • The companies issued investment bonds also fairly safe from default.
  • The bonds that are high-yield susceptible to risk and hence offering a better rate of returns.

The DCM also handles debt-equity issuances for several purposes. At times on reaching debt-maturity bonds are refinanced or reissued. At other times the expanding company may be looking to reduce cost-to-company capital. A quick look at the statistics espoused by Dealogic shows the bond markets are huge in comparison to issuances.

In 2013 alone, the DCM market figures showed debt-deals worth 6.1 trillion $ versus the 832.2 billion $ equity issuance markets. Compared to its value in 2012 there was a reported surge of 25 percent upwards.

How to get a DCM job and why?
The DCM job is part of the investment banker’s portfolio. This is a highly prestigious and well-paying job with a lot of hard work and challenges thrown in like the inordinately long work hours, the need for classroom and paid training to get placements as IBs and the long attributes list required of an IB.

DCM is way larger than the ECM and banks or firms find this large volume low-returns market needs constant new-deals to be worked on. ECM thrives in sectors like mining, aerospace, etc. The need to generate profits from large volumes of new-deals means more IBs to pitch the issuances and provide services for both investors and clients.
Further half the volumes of debt-issues are from the financial institutions.

Hence, in larger firms, there could be separate CM and ECM divisions, private firms, and public companies divisions, or corporate and government debt markets divisions. The plus point is that a lot of debt-issuances ensure you are not just a salesperson of equity issuance.

The normal workday of the FA is to convince investors and clients for deals. You will need to track trends, make presentations, draft pitches, create models, meet HNI clients, or work in inter-bank funds syndication.  No matter where expect 80-100 hours of stress-laden work per week. No wonder then that nearly half the aspirants for IB jobs quit within 3 years. For the persistent expect to move up every 2-3 years from Analyst to Associate, VP, Director, and CFO or MD.

Conclusion:
The DCM and ECM are areas that cover the various roles of an investment banker in capital markets. The Capital Market Training at Imarticus Learning is specially designed to help you hit the ground running.

It has modules for resume building, personality development and interview facing techniques besides a robust financial Capital Market Tutorial curriculum. You will need classroom training, mentorship, certification and experience to help you stand out from the many IB career aspirants. Enroll at Imarticus today.