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Category: Analytics

Bringing Crypto Transaction Under the AML Lens in India

Posted on by Imarticus Learning

Governments worldwide are strengthening bitcoin anti-money laundering (AML) legislation while the private sector continues to innovate and personalise financial services. On the other hand, the technology that powers bitcoin can potentially extend payments by leveraging technological improvements for public policy goals. 

The implementation of government-controlled digital currencies is still under debate, clouded by the fear that its potential abuse by unscrupulous individuals may pose economic difficulties. Consumers and investors may gain from cryptocurrency, but criminals can exploit it and pose financial concerns.

Implementation of anti-money laundering measures in India

The Indian government has notified all interested parties about the need to comply with the country’s Anti-Money Laundering (AML) statute while conducting cryptocurrency transactions. A notice from the Ministry of Finance bringing certain cryptocurrency transactions within the Prevention of Money-Laundering Act (PLMA) 2002 was issued in the Indian Gazette on March 7, 2023. This includes trading, moving, storing, and managing virtual assets. 

The PMLA would apply to all domestic cryptocurrency businesses. This is a significant step in regulating the cryptocurrency market in India since it requires all crypto companies to include sufficient KYC, transaction monitoring, and other systems in their operations.

Anti-money laundering (AML) regulations in India

Here are some key points:

  • All reporting entities are subject to AML requirements under the PMLA and the PML rules, which include client identification, Customer Due Diligence (CDD), customer acceptance, and record keeping.
  • Securities and Exchange Board of India (SEBI) has developed specific know-your-customer (KYC) criteria and guidelines for financial intermediaries and investors in the securities market.
  • The Reserve Bank of India, SEBI, and the Insurance Regulatory and Development Authority of India take the mantle in dealing with money laundering issues and set anti-money laundering standards by the PMLA rules.
  • The AML/CFT system in India is still in its infancy. The PMLA was created in 2005 and revised in 2009.
  • All firms are subject to the SEBI AML Guidelines, and the RBI managing director must adopt AML and KYC procedures for client acceptance and identification.
  • India’s AML statute has been updated as reporting entities to cover banking intermediaries, financial firms, and accounting professionals such as Chartered Accountants and Company Secretaries.

Why do crypto transactions require AML compliance?

Crypto transactions require AML compliance due to their anonymous and global nature. Financial institutions must monitor customer transactions, report suspicious activity, and verify customers’ identities. Effective AML regulations make money laundering less profitable and riskier. The crypto industry needs to be AML and KYC-compliant to improve trust.

What are the penalties for non-compliance with AML regulations in India?

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It is important to note that the Indian government has lately implemented anti-money laundering restrictions on cryptocurrency platforms and transactions involving virtual digital assets to discourage criminal conduct, encourage income disclosure and financial transparency, and prevent terrorist financing. In India, the repercussions for violating crypto rules may range from a maximum fine of Rs 20 crore to 1.5 years in jail. To avoid penalties, crypto companies in India must comply with national AML regulations and perform necessary KYC and transaction monitoring as part of their process.

Challenges and concerns for crypto transactions under the AML lens

AML challenges and concerns for crypto transactions are as follows:

  • The use of cryptocurrencies may expose users to a variety of hazards, including fraud, economic penalties, and money laundering.
  • Cryptocurrency transactions may provide a greater risk for money laundering because of their inherent anonymity, cross-border nature, and absence of centralised services.
  • The crypto industry’s AML requirements are constantly evolving. There are nations with little to no AML legislation that criminals exploit to quickly transfer virtual assets across borders and launder money via Virtual Asset Service Providers.
  • Every organisation participating in bitcoin transactions is subject to AML requirements, depending on the geographical jurisdiction and the nature of the transactions.
  • Compliance with AML laws may generate end-user misunderstanding and complicate types of crypto transactions.
  • Some US states have also passed AML legislation that applies to bitcoin firms operating inside their borders, confusing the legal environment even more.
  • Cryptocurrency companies must know the cryptocurrency regulatory framework in each jurisdiction they operate.

The future outlook for AML compliance in crypto transactions in India

India’s PMLA was recently revised to include digital assets, making cryptocurrency exchanges, non-fungible token (NFT) marketplaces, and custodial service wallet providers legally liable for monitoring suspicious financial activities. Cryptocurrency exchanges must conduct transaction due diligence and report suspicious or high-value transactions to authorities.

The decision to include crypto transactions in the AML framework is a massive step towards regulating the Indian crypto sector. It will aid in preventing money laundering and other financial crimes associated with bitcoin transactions. To comply with the new rules, bitcoin firms must spend on technology and resources. Overall, this is a fantastic start toward building a safe and secure environment for crypto transactions in India.

Conclusion

The Imarticus Learning Certified Investment Banking Operations Professional programme is a 150-180 hour curriculum designed to prepare students for careers in investment banking operations. Financial management, middle and back-office operations, KYC, anti-money laundering, investment services, and internet banking activities are all included in the curriculum. 

This course is perfect for finance graduates with 0-3 years of work experience.

10 Ways a Leadership Programme Can Improve Supply Chain Professionals

Posted on by Imarticus Learning

The supply chain is critical in meeting customer expectations, reducing costs, ensuring quality and safety, managing risks, supporting innovation, and driving sustainability. It is a crucial component of most businesses and contributes significantly to their success.

A leadership programme for supply chain professionals is designed to enhance their skills, knowledge, and leadership abilities to lead their teams and drive business success. 

If you wish to advance your career in supply chain, this blog is for you. We have discussed in detail the benefits of a leadership programme for supply chain professionals. 

Supply Chain: A Definition

A supply chain is a network of businesses, people, events, information, and assets that produce and deliver goods or services. It includes all the actions and procedures necessary to procure and convert raw resources into completed goods and distribute them to final consumers.

The supply chain consists of several steps, including the acquisition of raw materials, manufacture, transportation, warehousing and storage, and distribution to merchants or final consumers. Demand planning, inventory control, order fulfilment, and customer service are additional procedures included in supply chain management.

How does a supply chain function?

The supply chain involves various entities, including suppliers, manufacturers, distributors, wholesalers, retailers, and logistics providers. These organisations collaborate to ensure that goods are delivered to clients promptly, effectively, and economically.

A company’s success depends on how well its supply chain is managed because it affects important performance indicators, including customer happiness, operating costs, and profitability. To ensure the efficient flow of goods and services from the supplier to the customer, effective supply chain management requires integrating and coordinating all supply chain operations and procedures. 

Why should you pursue a career in supply chain management?

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There are numerous prospects for development and success in a career in supply chain management. Supply chain specialists are responsible for managing the flow of products and services from suppliers to customers. They are essential in ensuring that goods are delivered on time, in the appropriate amount and quality, and at a reasonable cost. They must also ensure the proper storage of raw materials and final products to prevent damage.

What is a leadership programme in supply chain management?

A leadership programme for supply chain professionals is a training programme designed to develop leadership skills and capabilities in individuals who work in supply chain management roles. The programme often combines classroom instruction with workshops, mentoring, and opportunities for on-the-job learning.

Developing the skills and competencies necessary to lead and manage supply chain operations effectively is the core goal of a leadership curriculum in supply chain management. Topics, including supply chain strategy, logistics and transportation management, inventory management, procurement and sourcing, and supplier relationship management, are frequently covered in the training.

A leadership curriculum on supply chain management especially focuses on building soft skills like communication, cooperation, problem-solving, and decision-making, in addition to technical skills. These abilities are essential for effective leadership in supply chain management roles as they allow supply chain professionals to collaborate effectively with cross-functional teams and external partners.

A list of ways a leadership programme can upskill supply chain professionals

Develops strategic thinking: Leadership programmes help supply chain professionals to think beyond day-to-day operations and focus on strategic planning to drive growth.

Enhances decision-making: They train professionals to make sound decisions by providing the necessary tools, frameworks, and processes to evaluate options.

Builds communication skills: Communication is vital in the supply chain industry. Leadership programmes help professionals to develop their communication skills, including writing, speaking, and active listening.

Encourages collaboration: Supply chain management requires a team effort. Leadership programmes promote collaboration and teach tactics for managing diverse teams.

Fosters innovation: SCM requires an innovative approach to overcome challenges. Leadership programmes encourage professionals to think creatively and develop new ideas.

Improves risk management: Supply chain professionals must predict and manage risks effectively. Leadership training provides the necessary tools to identify and mitigate risks proactively.

Enhances technical skills: Leadership programmes provide training on the latest technology and software used in the industry, enabling professionals to remain up-to-date on the latest trends.

Builds cross-functional expertise: SCM involves working with various departments, such as finance, marketing, and operations. Leadership programmes equip professionals with cross-functional knowledge to work effectively with colleagues in other departments.

Develops emotional intelligence: Programmes focused on leadership training teach professionals to develop empathy and understand their emotions, improving their ability to manage stress and relationships.

Promotes career advancement: Leadership programmes open new career opportunities, allowing supply chain professionals to advance to leadership roles within their organisations or move to a new company.

Conclusion

If you are a professional with several years of experience in supply chain management roles and want to climb the career ladder or revive your career, enrol in Imarticus Learning’s Global Chief Supply Chain And Operations Officer course designed in collaboration with IIM Raipur.

This 10-month-long programme, focused on building leadership skills, prepares candidates to handle C-suite roles effectively. Additionally, candidates can enjoy the status of IIM Raipur Executive alumni and learn firsthand from industry experts.

Visit the website for more details.

Explain A Comprehensive Guide to Choosing and Pursuing a Machine Learning Certification

Posted on by Imarticus Learning

Hey there, fellow tech enthusiasts and data aficionados!

 Are you prepared to explore the intriguing realm of machine learning? We welcome you to our thorough guide on picking and obtaining a machine learning certification.

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Imagine yourself at the cutting edge of innovation, equipped with the knowledge and abilities to decipher intricate patterns, make precise forecasts, and reveal the mysteries buried inside huge datasets. 

With machine learning, you can transform whole sectors, alter decisions, and lay the path for a time when clever algorithms rule the world. This blog post will give you an extensive roadmap to select and pursue a machine learning certification.

What is a Machine Learning Certification?

A certification in machine learning serves as proof of your knowledge of the subject. It is given to people who have finished a course or program that covers both machine learning’s basic principles and more complex ideas.

Universities, online learning platforms, professional associations, and other organizations provide machine learning certifications. The length, price, and content of the certification program might change.

Machine learning patents increased at a 34 percent (CAGR) Compound Annual Growth Rate between 2013 and 2017, according to Forbes, making them the third-fastest growing category of all patents granted.

Unveiling the Diversity of Machine Learning

The ability of a computer to automatically learn from data, enhance performance based on prior experiences and make predictions is known as machine learning. A collection of algorithms used in machine learning operate on vast amounts of data. These algorithms are fed data to train them, and after training, they develop a model and carry out a certain task.

Types Of Machine Learning

Machine learning is primarily split into four kinds based on the techniques and modes of learning, which are:

  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Reinforcement learning 
  • Semi-supervised machine learning

Benefits of a Machine Learning Certification

There are several advantages to becoming certified in machine learning, including:

A machine learning course will help you stand out from applicants and improve your chances of being recruited by prestigious firms, expanding your work prospects.

  • Higher pay: Machine learning specialists with certifications are in great demand and may expect to make more money than those without certifications.
  • Expertise: A machine learning certification demonstrates your expertise in this field and shows you have the skills and knowledge required to work on machine learning projects.
  • Saves time: Depending on your objectives, a machine learning certification program might take one to six months to complete. On the other hand, earning a degree from a university may take up to four years or longer. You will need to spend extra time on top of that if you want to pursue a professional degree to improve your education.
  • Networking: The networking possibilities offered by certification programs might result in future employment prospects and business partnerships.

A step-by-step guide to choosing and pursuing a machine learning certification

  • Identify your educational goals and professional aspirations. 

  • What do you want to accomplish with a certification in machine learning? 
  • Do you wish to work as a data scientist, researcher, consultant, or machine learning engineer? 
  • Would you like to work in the healthcare, financial, or educational sectors?

  • Examine and contrast the possibilities that are accessible. 

Several machine learning certificates are available, provided by numerous platforms and organizations. While some are broad in scope, others are vendor, tool, framework, or tool specific. 

While some of them are free, some are not. You need to conduct your research and learn what each certification entails, what requirements must be met, how long the exam will last, how much it will cost, how long the certificate will be valid, and what the advantages and recognition of the certification are.

  • Select the certification based on your requirements and interests. 

You should reduce your choices based on your research and choose the one most closely matches your learning goals and professional aspirations. Your time and financial constraints should also be considered, along with your present knowledge and expertise. You must pick a certification that pushes you, inspires you, and boosts your self-assurance.

  • Prepare for the exam with a study plan and practice tests.

 After selecting your certification, you must prepare for the exam. Make a study schedule that specifies the subjects you must examine, the sources you must consult, and the time you must allot for each segment. Regularly taking practice exams can help you gauge your development and determine your strengths and shortcomings.

  • Take the exam and celebrate your achievement.  

On the exam day, you should feel confident and at ease. You should be cautious to follow the directions and use your time properly. Before submitting your answers, you should double-check them. You should receive your score report and certificate soon after finishing the exam. Celebrate your success and let your network know about it. Additionally, you should add your new certificate to your portfolio and resume.

The Final Words

Getting started on acquiring a machine learning certification can revolutionize your career. After reading this comprehensive guide, You have the information and resources to select the certification program that best suits your needs and skill level.

 It’s important to remember that the machine learning field is always changing. Therefore learning new things regularly is essential. By pursuing a machine learning certification, you invest in your future and open doors to interesting prospects in this quickly expanding sector.

Utilizing the power of data becomes crucial in a world where businesses battle it out for supremacy. The secret weapon may open a competitive advantage, drive wise choices, and open the door to development and success. With the knowledge gained from Imarticus Learning’s data science and analytics course, you become a catalyst for change, empowering businesses to flourish and thrive in an era of data-driven success.

Integrating Demand Planning in Digital Supply Chains

Posted on by Imarticus Learning

Effective supply chain management has become essential to any company’s success in today’s fiercely competitive business environment. Digital supply chains are gaining popularity as more businesses rely on various technologies to manage and optimise their supply chains and associated processes.

By integrating demand planning into digital supply chains, businesses can improve the most important aspects of their supply chains, such as inventory, forecasting, supply pipelines etc. 

Let us learn more with this blog.

What is demand planning in supply chain management?

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Demand planning is a crucial component of supply chain management that entails forecasting customer demand and developing strategies to meet that demand efficiently. It involves estimating the expected demand for goods or services and devising strategies to ensure supply meets demand.

To accurately forecast future demand, businesses must analyse historical sales data, market trends, customer behaviour, and other relevant factors. Overestimating or underestimating demand can result in inventory shortages or surpluses, leading to lost sales or excess inventory carrying costs, and can have a significant impact on a company’s financial performance.

Demand planning in digital supply chains

Thanks to digital supply chains, businesses can capture and analyse massive amounts of data from various sources, such as social media, sales transactions, and customer feedback. This data can be used to improve the accuracy of demand planning, allowing businesses to understand customer demand patterns better and adjust their supply chain accordingly.

Additionally, digital supply chains enable businesses to optimise inventory management and reduce inventory carrying costs by providing real-time visibility into inventory levels.

Why is demand planning beneficial in supply chains?

Effective demand planning ensures that businesses have the right products available at the right time, reducing lead times and increasing order fulfilment rates, resulting in higher customer satisfaction.

Here are some benefits of effective demand planning in supply chains:

Improved Inventory Management: Demand planning allows businesses to optimise their inventory levels, ensuring that they have enough stock to meet customer demand, lowering inventory carrying costs, and minimising stockouts.

Increased Operational Efficiency: By streamlining supply chain processes, reducing waste, and increasing productivity, demand planning can improve operational efficiency.

Improved Collaboration: Demand planning can improve collaboration among supply chain partners by allowing suppliers and manufacturers to plan production schedules, reducing lead times and ensuring the timely delivery of products.

Effectively integrating demand planning in digital supply chains

The following are some essential steps that businesses can take to integrate demand planning into their digital supply chains effectively:

Adopt a Collaborative Approach: Effective demand planning necessitates collaboration among supply chain stakeholders such as suppliers, manufacturers, and distributors. Businesses should use digital technologies to create real-time communication channels among supply chain partners to share information, coordinate planning, and optimise processes.

Utilise Data Analytics: Data analytics is critical in demand planning because it allows businesses to capture and analyse massive amounts of data from various sources, such as sales transactions, customer feedback, social media, and market trends. To develop accurate demand forecasts, businesses should use advanced analytics tools such as machine learning and predictive modelling to gain insights into customer behaviour, demand patterns, and other relevant factors.

Create Agile Supply Chain Processes: Digital supply chains enable businesses to create agile supply chain processes that can respond quickly to changes in customer demand. Businesses should implement adaptable production and inventory management processes that can respond to changes in demand in real-time, reducing lead times and increasing order fulfilment rates.

Embrace Automation: Automation can significantly improve demand planning efficiency in digital supply chains. Automation technologies such as robotic process automation (RPA) and artificial intelligence (AI) should be used by businesses to automate routine tasks such as data entry, forecasting, and reporting, freeing up resources for more strategic activities.

Monitor Performance: Performance should be monitored on a regular basis using key performance indicators (KPIs) such as demand forecast accuracy, inventory turnover, and order fulfilment rates. This will allow them to identify areas for improvement, optimise supply chain processes, and continuously improve the effectiveness of demand planning.

Adopt Continuous Improvement: Demand planning is an iterative process requiring continuous improvement. Businesses should review and update their demand planning strategies on a regular basis to reflect changes in market trends, customer behaviour, and other relevant factors, ensuring that their digital supply chains continue to meet customer demand effectively.

Conclusion

Integrating demand planning effectively into digital supply chains necessitates the use of data analytics, the establishment of agile supply chain processes, the acceptance of automation, the monitoring of performance, and the continuous improvement of processes.

These go a long way towards assisting businesses in remaining competitive in a highly dynamic business environment.

If you wish to learn more about digital supply chains, you can check out the Advanced Certification Programme in Digital Supply Chain Management by Imarticus. This programme will help you secure a career In digital supply chain management and help you gain all the necessary skills to become a Supply Chain Manager.

Industries That Were Transformed by Data Analytics

Posted on by Imarticus Learning

In modern times, big data has taken the world by storm. Initially, the analysis of huge amounts of data was a time-consuming process and often prone to errors. However, with the advent of technology, the process could be automated. New analytical tools have changed the way in which we analyse, manage, and interpret data, and have made it easy for businesses to make data-driven decisions. 

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As these new technologies have emerged, a career in data science looks like a lucrative option that many youngsters are opting for. There are many data analytics courses that have come to prominence as they are helping youngsters gain an edge in their careers. 

This article discusses the number of industries that have been transformed by data analytics and how a data analytics course can give a vent to new career opportunities. Read on to find out. 

About Data Analytics

Before we delve deeper into the discussion, let us have a look at what data analytics is. Data analytics refers to the process of analysing humongous amounts of raw data and identifying trends in order to answer certain questions. It is an amalgamation of business, technology, and statistics that help in providing a clear picture of a scenario at different points in time. 

Data analytics aims at maximising the productivity of businesses and by figuring out ways in which the results can be enhanced. The main processes in data analysis include the collection of data, data processing, analysis, and finally presentation of the results. 

Data analytics is used in multiple industries as it helps business leaders to make decisions that are backed by data. Data analytics techniques help businesses make informed decisions that are backed by strong evidence. For instance, a company that manufactures sneakers may use data analytics to understand customer preferences and determine which design is liked by the customers, and which one they should retire. Data scientists incorporate the use of OOPs concepts and reduce the complexity of data, which can streamline the process of analysis. 

This article talks about the industries that rely on data analytics for the most accurate decisions. You will also get an idea about how a data analytics course can open up a plethora of opportunities for you. Read on to find out. 

Industries that Use Data Analytics Techniques for the Most Accurate Results 

Health Sector 

The healthcare sector is one of the largest sectors that incorporates the use of humongous amounts of data. With the advent of technology in different spheres such as laboratories, claims systems, radiology systems, and health records, there are exorbitant amounts of financial as well as clinical data. But for some advanced technology, it is not possible to analyse such huge amounts of unstructured data. 

The use of AI and machine learning has helped to reform the health sector by providing improved healthcare services to patients, better diagnosis, automation of tasks, and so on. The healthcare sector deals with sensitive information which may have life-altering outcomes. Big data allows the possibility to gather data and analyse it in a jiffy, which makes it easy to make prompt choices related to treatment and other long-term plans.

Banking and Finance 

The use of Big Data has facilitated banks and other financial institutions to simplify their operations and service delivery systems. With the help of advanced analytics, banking, and finance institutions can cater to the needs of customers by determining their transaction patterns and banking history. This helps the customers enjoy a personalised experience. 

Just like the health sector, the banking and finance industry also houses a lot of sensitive data, which should be safeguarded against fraud. Advanced technologies have unique algorithms that can smell the stench of dubious activities. This helps to make sure that sensitive data is not leaked and that fraudulent activities are avoided. 

Financial institutions also count on big data analytics techniques to assess the creditworthiness of customers before lending a loan and understand if a customer is financially stable enough to be able to repay a debt. An understanding of a customer’s spending habits and the nature of transactions can help financial institutions in effective risk management. 

Transportation and Logistics

Data analytics has proved beneficial for transportation and logistics as well. Companies use advanced technology to gather data from their fleets. These data help to improve the driving behaviour, or optimise the routes so that the deliveries can be made on time. 

Not only this, but data analytics is also useful in efficient stock management. Warehouses have digital cameras and shelf-level sensors that monitor stock levels. There are pre-set programs that send alerts when the stocks need to be refilled. 

Apart from these, two other sectors that deserve a notable mention for incorporating the use of data analytics are agriculture and the manufacturing sector. The use of data analytics in the field of agriculture helps to reduce wastage through accurate forecasts of demand and supplies. Similarly, in the manufacturing sector too, data analytics helps to identify trends and decide on the factors that can deliver the most effective results. 

Conclusion 

It is quite evident that data analytics techniques have resulted in the transition of decisions based on guesswork to decisions that are backed by robust data. Big data technologies and analytical tools help to solve issues while also increasing the scope for newer opportunities. 

If you are looking forward to developing a career in data science, a postgraduate data analytics course by Imarticus Learning may be of great help to you. This course will teach you a wide range of topics starting from the basics of Excel to more advanced topics such as Python programming, data visualisation using Tableau and Power BI, SQL, statistics, etc. The course will help learners acquire knowledge about the real-world implications of data science, through which they will be able to optimise the business outcomes of an organisation. 

Check out the website of Imarticus Learning to know more.

Why choose a career in logistics and supply chain management?

Posted on by Imarticus Learning

Logistics and supply chain management are two of the most important tasks in every company or organization. They manage the intricate web of suppliers, distributors, and other stakeholders and ensure that goods or services arrive at their intended location quickly and effectively. 

The need for Supply chain and operations management has never been greater due to the growing internationalization of the industry and the growth of e-commerce. Beyond the practical factors, there are various reasons why someone would decide to pursue a career in this fascinating and fast-paced industry.

It is predicted that the employment of logisticians will increase by 28 percent between 2021 and 2031. Over the next ten years, there will be 24,800 openings for logisticians. Many of those openings are anticipated to be brought on by the need to replace workers who change careers or leave the workforce due to retirement.

Logistics and supply chain management provide many opportunities for growth, challenge, and fulfillment, from the thrill of problem-solving to the gratification of witnessing observable outcomes. 

When did logistics and supply chain management become important?

Any effective business leader will recognize the critical significance of meticulously planned logistics. They know integrating smooth logistics is crucial to meeting client requests and outperforming rivals.

You will need to develop and grow regardless of the company’s size. That most likely entails regional, global, or even planetary growth. Logistics may reduce the expenses and time you spend moving things from one site to another, regardless of where your firm is located or what sector you are in.

Due to their reliance on constantly shifting client expectations, supply networks are delicate and complicated. A supply chain without well-managed transportation cannot guarantee high value. Logistics is the most important aspect of any supply’s quality. 

Supply chain management skills in demand

Particularly employable are those interested in learning about patterns and trends in data. You will also require the following:

  • Problem-solving abilities, including simulation, modeling, and forecasting abilities
  • The capability to react to novel situations with calm and thought negotiating skills. 
  • The capacity to think quickly under pressure.
  • Successful applicants must be able to communicate clearly and briefly with non-technical coworkers and consumers about the supply chains’ increasingly complicated technical features. 

Graduates raised in the internet era will be in a good position to comprehend the mechanics of online shopping and contribute to the expansion of e-retailing.

Advantages of a career in logistics and supply chain management

  • Improve the organization’s profitability

Any company that wants to remain profitable and competitive must have a strong grasp of logistics and supply chain management. You may cut expenses, boost customer happiness, and enhance operational effectiveness by streamlining the flow of goods and information. By reducing waste, pollution, and energy use, you may also aid your company in achieving its sustainability objectives.

  • Stability

The logistics industry is unquestionably the backbone of the nation. Today’s sector employs about 1.2 million people and impressively boosted Australia’s GDP in 2013 by $131.6 billion. Given these remarkable numbers, it is clear that the logistics sector won’t be disappearing anytime soon. A career in logistics will provide you with the stability and security you need to enjoy a degree of assurance and stability that few other fields can match.

  • Keep up with challenges and trends

Supply chain management and logistics are fields that are continually changing and developing. You’ll always be presented with fresh challenges and possibilities in this area, so you’ll never grow bored. Additionally, you’ll discover the newest innovations and technologies that are revolutionizing the market, including e-commerce, blockchain, artificial intelligence, and more.

  • Proper system implementation

As a logistics and supply chain professional, you’ll have the skills and knowledge to implement effective systems and processes to enhance your organization’s performance. You can analyze data, design solutions, manage projects, and communicate with stakeholders. You’ll also be able to leverage technology to automate tasks, improve visibility, and increase efficiency.

  • Networking

Because of the diverse spectrum of individuals that logistics employees interact with locally and internationally, networking possibilities may be created. This may be quite advantageous for people who want to pursue a career in international business since, once they reach a level where they can talk in the host language and recognize the many laws, customs, and cultures of that country, they are highly employable.

  • Start a career you’ll love

You can pick from various career paths and logistics and supply chain management professions. You may find employment in various sectors, including manufacturing, retail, healthcare, and transportation. Additionally, you can focus on particular tasks, such as planning, sourcing, producing, delivering, or enabling. 

Typical job titles in this industry include the following:

  • Supply Chain Manager
  • Logistics Manager
  • Materials Manager
  • Buyer
  • Planner
  • Procurement Specialist
  • Sourcing Manager
  • Operations Manager
  • Production Manager
  • Logistics Coordinator
  • Transportation Analyst

The Final Words

You have several options for success and progress if you choose a supply chain management and logistics profession. The need for qualified people in this industry will only increase due to the always-growing requirement for efficient and effective supply chain management. Logistics and supply chain management provide an exciting and fulfilling career path, whether you are just starting or hoping to advance your career.

Consider a logistics and supply chain management career if you want to impact businesses and society significantly. You may develop a successful and happy career with the proper education, training, and experience in this fascinating and dynamic industry.

IIM Raipur and Imarticus Learning have created a world-class leadership program for senior supply chain professionals. Students will graduate from this 10-month program with the technological, operational, interpersonal, and strategic abilities required to steer supply chain management into a new century. This certification program will teach them essential skills and aid their advancement into C-suite positions with more than 150 hours of interactive sessions taught by knowledgeable IIM Raipur instructors.

Choosing the right BBA program: Tips and factors to consider

Posted on by Imarticus Learning

Know about BBA

The Bachelor in Business Administration or BBA is a 3-year undergraduate program for students who have their minds set on a management career just after completing school. The BBA program revolves around the administration of business and business operations management. Students learn about entrepreneurship and management roles in the program.

The best part of BBA is that it offers the course to students from every stream. Students of Humanities, Commerce, and Science can apply for any BBA program.

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BBA promises you a great future in Management. Many universities across India provides BBA program in various modes. However, before jumping to a long-term program, you must consider the impact a BBA program will have on your job opportunities.

A good BBA program comes with great exposure to the industry before you complete your course. Selecting the right college is a tedious task just because of the number of options available offering near-similar benefits. Here are few

Tips on how to choose the right BBA program

1. Make a list

Make a list of what your desired universities have to offer. It could include specializations, fees, mode of learning, placement, faculty, and more. It will help you to narrow down to BBA programs that are best for you. Lists are critical since they help you to make informed decisions. They also save a lot of time and can be useful in cases where there are plentiful options.

2. Research

It is important to research before you jump into a BBA program. Research can help you find loopholes and eliminate the programs that are not helpful for you. It also helps to set goals and cut the additional costs you might incur without proper research.

3. Find pros and cons

Check out the pros and cons of a particular BBA program so that you can clear idea of options.

What do you need to consider in a BBA program?

You have to follow a few parameters and look for certain specific things while choosing the best BBA program for you.

1. Offered Specialization

There are multiple specializations offered in the BBA program. This includes:

Business administration

International Business

Computer application

Marketing

Finance

Sports management

The specializations will depend on what you are good at and have an interest in. You can also research what curriculums cater to what you want to study and are beneficial in the future.

2. Faculty

Faculty is one of the biggest USPs of any BBA program and you must ensure that you are benefitted from it. Check the number of faculties depending on whether they are full-time or part-time. Faculties that have industry experience are a plus sign you should look out for. It helps the learners to engage with the industry even before they start their internships.

3. Curriculum

A highly text-based curriculum might not be the best choice when it comes to choosing a BBA program. Management courses are rarely about taking notes. It must include case studies, real-world projects, skill development sessions, opportunities for internships, and more.

4. Placement opportunities

Placement is the single most important criterion that should be included in your research list. Make sure that you check out the information on the partners and collaborations of the university beforehand. partnerships with companies ensure maximum placement. You might also want to check out the median salary, the number of people placed, offered positions, etc for the same.

Why choose Imarticus Learning?

Imarticus Learning brings BBA in business analytics in collaboration with Geeta University.

The curriculum curated by Imarticus Learning in association with Geeta University has been deemed as new-age and industry aligned by industry leaders. It includes topics like:

Fundamental of business analytics

Fundamentals of business intelligence

Design thinking

Critical thinking and decision making

Data visualisation

Statistical analysis using SAS &R

Marketing analysis

Financial analytics

Supply chain analytics

You will also be familiarised with tools such as Microsoft Excel, SQL, Power BI, SAS, R and more. You will also get to work on capstone projects that enable the students to link their projects to issues of community and utilise their learning experience. You will also get the skill enhancement certifications and benefits of a digitally-enabled campus.

Along with this, the BBA program offers summer internships in top companies. After the completion of the program, you will also get career support that includes placement. Career support also includes mock interview sessions, resume-building classes, and more.

Imarticus Learning has worked to get more than 56000 students placed and enable 45,000+ career transitions. That is not all. To provide the best assistance in the competitive job market for our learners, we have collaborated with more than 500 industry leaders as our partners for maximum placement opportunities.

 

Our alumni work at:

Deloitte

Genpact

Accenture

Infosys

KPMG

IBM

Capgemini

Goldman Sachs

Cognizant

Standard Chartered

Wipro

Moody’s analytics

Check out more about the BBA course here.

What Makes The Certificate Program In Data Science And Machine Learning In Association With Ihub Divyasampark @ IIT Roorkee Course Different From Previous Data Science Certification Courses?

Posted on by Imarticus Learning

Are you planning to enter the new-age world of Data Science and Machine Learning?

If yes, then you must have done enough research about the growing potential and importance of this industry in the upcoming future.

“Data is information, and data will define the future,” our honourable Prime Minister, Mr Narendra Modi, said at the Audit Diwas event. This definitely demonstrates the future possibilities of Data Science and Machine Learning. Every business today needs the skills of people who can translate cutting-edge complex technology into usable data insights. As a result, there is a greater demand for experienced Data Scientists who can use machine learning and data science to assist businesses in making various business decisions.

So now is the best time to join this growing business, which you can easily do by enrolling in Data Science courses and online training programs that can help you land a high-paying job with a reputable organization.

In this blog, we’ll go over how a Data Scientist may provide value to a company after finishing Data Science online training programs, as well as one of the finest Data Science courses to get started in this rapidly increasing industry.

Ways In Which Data Scientist Helps Business

  • Informed decision-making

Through measuring, charting, and performance indicators, a data scientist uses the institution’s data to support well-informed decision-making processes across the whole company. Data helps organizations expand and stay ahead of the competition by allowing them to make well-informed decisions.

  • Identify opportunities

Data Scientists that have completed Data Science online training programs and courses are effective at seeing opportunities and allowing the company to get a jump on the competition. Data Scientists assist companies in detecting emerging trends by regularly evaluating data using machine learning, allowing them to rethink goals and improve an organization’s profitability.

  • Easy recruitment of talent

Machine learning and data analytics has revolutionized the way businesses recruit. Using social media, employment websites, and corporate databases, getting candidate information has gotten easier. Data Scientists can readily scrutinize such large amounts of data and resumes to assist firms in finding the best fit. This speeds up the initial recruitment process and allows companies to call only the best candidates for interviews.

Certificate Program In Data Science And Machine Learning By iHUB Divyasampark @IIT Roorkee

The Certificate Program in Data Science and Machine Learning is designed to help you build a career in the field of machine learning and Data Science. This curriculum, created in collaboration with iHUB DivyaSampark @IIT Roorkee, will teach you the principles and crucial aspects of machine learning and Data Science, as well as arm you with the necessary skills to apply these concepts to real-world complex problems. This 5-month Data Science course, taught by experienced IIT faculty members, will teach you how to use machine learning technologies and Python data mining, as well as how to use data-driven insights to impact organizational growth effectively.

How Is Certificate Program In Data Science And Machine Learning By iHUB Divyasampark Different From Previous Data Science Courses?

Learners will be able to learn essential Data Science concepts and specialize in machine learning with Python to make well-informed decisions. The goal of the Certificate Program in Data Science and Machine Learning is to develop individuals who can deliver relevant data observations and assist firms in making sound, well-informed decisions. It is different from other Data Science courses in the following ways:

  • It’s one of the few Data Science online training courses that emphasizes both practical and theoretical knowledge to assist in the application of machine learning to real-world situations.
  • IIT faculty members create it with extensive experience in the Data Science and Machine Learning industries and projects.
  • Unlike most of the other Data Science courses, the Certificate Program in Data Science and Machine Learning will be taught live via online sessions by India’s best professors.
  • It also gives an opportunity for startup-minded students to present their business ideas and get money under the Digital India assistance initiative. It’s a fantastic chance for motivated students who want to start their own businesses.

Conclusion

Data Science is a rapidly expanding subject with numerous prospects for certified Data Scientists who have finished Data Science courses. The iHUB Divyasampark @IIT Roorkee Certificate Program in Data Science and Machine Learning is a wonderful approach to obtaining practical expertise in the subject and assisting organizations in making smart, well-informed judgments. The course lasts 5 months and is delivered via live online training sessions, as well as a 2-day campus immersion program at IIT Roorkee.

To resolve any doubts about Data Science online training programs and Certificate Program in Data Science and Machine Learning, contact us via chat support or drive to one of our training centers in Thane, Mumbai, Pune, Bengaluru, Chennai, Delhi, Ahmedabad, or Gurgaon.

5 Reasons Why a BBA Business Analytics Course is The Perfect Choice for Future Business Leaders

Posted on by Imarticus Learning

Perks of the BBA program in Business Analytics

Are you thinking about pursuing a business career? If so, consider taking a BBA Business Analytics course or the Bachelor of Business Administration in Business Analytics course. It could be the perfect choice for you. It is a rapidly growing field with rising demand for data analysis and business strategy experts. You’ll learn skills that can be applied to various industries, making you more versatile in the job market.

bba in business analytics

The course teaches you how to make data-driven decisions, which is crucial in today’s business world. You’ll gain practical knowledge through hands-on projects and internships. Graduates of a BBA Program In Business Analytics have high earning potential and are often sought after by top companies. So, if you’re looking to be a future business leader, a BBA Business Analytics course could be the perfect choice!

BBA Business Analytics For Future Leaders

The BBA Business Analytics course is one of the perfect choices for future business leaders. This course is designed specifically for individuals interested in the intersection of business and technology. Here are the top five reasons why BBA Program In Business Analytics is the perfect choice for future business leaders!

Analytical skills

The BBA program in Business Analytics provides the skills to analyze and use data to make informed business decisions. It helps you to understand and interpret complex data and use it to solve business problems. It involves using tools like statistical analysis and data mining to find patterns and trends in data. This can help businesses to forecast future trends and identify areas for improvement. With BBA in Business Analytics, you will learn how to collect, organize and analyze data to make decisions that can drive business growth and success. It is a valuable skill in today’s data-driven business world.

Decision making

The course teaches you how to use data to make smart business decisions. You learn to analyze data using statistical tools and make predictions based on it. In short, it helps you to identify patterns and trends in the data and use them to make informed choices. By studying business analytics, you can gain insight into customer behaviour, market trends, and industry patterns. With this knowledge, you can make strategic decisions to help your company succeed. Business analytics is essential for any business professional looking to make an impact in today’s data-driven world.

Job ready

A BBA in business analytics will prepare you for a career in analyzing business data. You’ll learn how to interpret and use information to improve business decisions. Students will gain skills in data management, programming, and critical thinking. With a BBA in business analytics, graduates can pursue careers in various industries as data analysts, marketing analysts, financial analysts, and more. This degree will give you an edge in the competitive job market and help you stand out to potential employers.

Practical experience

Students get practical experience in the real world through this program. It teaches the application of analytical skills to business problems and decision-making. This course equips students with skills in data analysis, problem-solving and communicating insights, giving them a competitive edge in the job market. The curriculum is designed to prepare students for the fast-paced business environment. The aim is to develop important skills in students through practical exercises and real-world case studies.

Taste of entrepreneurship

This course is a perfect fit if you’re interested in entrepreneurship. This course will teach you to use data to identify business opportunities and make informed decisions. With this knowledge, you can start your business and make data-driven decisions. This course will give you a taste of entrepreneurship through real-life scenarios and case studies. It is a great way to develop your business acumen and help you succeed in business. So, if you want to become an entrepreneur, the BBA program in Business Analytics is a great way to get started!

The BBA Business Analytics course is the perfect choice for future business leaders. With analytical skills, a focus on data-driven decision-making, real-world experience, and preparation for the job market, this course will set you on a successful career.

Final Thoughts

BBA in Business Analytics course offers excellent career prospects for aspiring business leaders. With skills in data analysis, business strategy, and decision-making, graduates of this course are highly sought after in the job market. Plus, it is a rapidly growing field, providing ample opportunities for personal and professional growth. So if you’re passionate about business and want to stay ahead of the curve, the BBA Business Analytics course is the perfect choice. Imarticus Learning is the perfect platform to learn business analytics. Opt for a BBA program in Business Analytics to begin your journey with analytics.

What is the function of inventory management in the supply chain

Posted on by Imarticus Learning

What Are The Functions Of Inventory Management In The Supply Chain

In business, inventory management refers to the production, storage, and sales of both raw materials and finalised products. It is one of the most crucial elements of the supply chain. It ensures that items are delivered in the appropriate amount, at the appropriate time, and at the appropriate price. Thus, it ensures that goods are always accessible to distributors, merchants, and warehouses. When the functions of inventory management are correctly organized, your supply chain will run smoother.

Without it, you face the risk of making a long list of errors, such as: 

·        Incorrect shipments

·        Bottlenecks

·        Out-of-stocks

·        Deterioration (when dealing with perishable stock items)

·        Overstocks

·        Incorrect pickings

Advantages Of Inventory Management

The two key advantages of inventory management are:

Ability to fulfill incoming/open orders

Increased earnings

The following are some of the other benefits of the functions of inventory management to accelerate your Chief Supply Chain and Operations processes:

Money Saving

global supply chain management and operations officers course

By understanding stock trends, you can know how much and where you have a certain item in stock. This is one of the best ways to utilize that stock more effectively. As a result, you can maintain less inventory at each location (store, warehouse) and lower inventory expenses. Along with it, it reduces the quantity of unsold stock before it becomes outdated.

Strengthens Cash Flow

When the functions of inventory management are managed correctly, your money is spent on merchandise that sells. This assists you in keeping your business’s cash flow positive.

Customer Satisfaction

One aspect of building a loyal customer base is ensuring they receive the goods they want without long waiting times.

Various Types Of Inventory Management System

Businesses use various inventory management systems depending on their processes, scope, and demands. The three basic inventory management methods are manual, periodic, and perpetual.

The manual inventory management system is the least modern way to handle inventory operational processes. In contrast, perpetual systems are the most precise and up-to-date inventory management system.

The functions of inventory management involve handling complicated business decisions like:

Reordering

Pricing

Delivering goods in response to consumer demand

All of this is largely facilitated by tracking inventory (inputs/ingredients and outputs/products) at every level, including warehousing and distribution.

Ultimately, it reduces the likelihood of a shortage or excess inventory at any particular moment. Moreover, prompt product availability contributes to consumer delight and improved sales.

Manual inventory system

This inventory management system relies on the actual counting of products. Here, data documentation is done on paper or in a spreadsheet. It is used by small enterprises that have not switched to inventory management software solutions.

Periodic inventory system

In this type of system, the inventory is counted at the end of the accounting period instead of counting instantly after each sale and acquisition. It is a really straightforward technique that works well for smaller companies that sell fewer products.

Perpetual inventory system

This inventory management system is the most advanced and uses automated software to provide real-time data points.

It updates balances as soon as any stock:

Enters a facility

Is transferred

Sold

Utilized

Discarded

This is possible with the use of handheld devices that scan product barcodes or RFID tags.

The Functions Of Inventory Management

You must have a thorough understanding of each phase in the functions of inventory management process before creating your Supply Chain Management Strategies.

This is essential for preventing errors and selecting the best inventory management system for your company.

Deliveries Of Goods To Your Location

This is the moment when raw materials/components/finished goods for manufacturers/ customers enter your warehouse for the first time.

Inspection, Sorting, And Storage

These functions of inventory management are undertaken when inventory is evaluated, sorted, and placed in its proper stock area.

This is regardless of whether you use drop shipping, cross-docking, or a different warehouse management system.

Keep Track Of Inventory Levels

This reduces the possibility of errors using cycle counts, perpetual inventory software, or physical inventory counts.

Placement Of Orders

Customers can place orders in-store or on your website.

Approval Of Stock Orders

At this point, you can send the order to your supplier, or your POS system may automate it.

Locating Items From The Stock

By using the SKU number, the required items are located, selected from stock, and dispatched to the manufacturer or client.

Updating The Inventory Levels

By using a perpetual inventory system, you can automatically update inventory and convey it to the appropriate stakeholders.

Try drawing an inventory process map to help you better understand the functions of inventory management. Then, evaluate each workflow phase to reduce out-of-stock and extra inventory.

Final Thoughts

The functions of inventory management are critical if you want to compete and provide your consumers with desired experience, whether you’re a brick-and-mortar, online, or a multi-channel business.

It is essential to implement these strategies if you want to truly succeed.

Are you aspiring to learn more about this booming field? Then the logistic management course by Imarticus Learning is appropriate for you. It covers principles of operations and supply chain management in extensive detail.

The primary objective of our course is to enlighten you with the understanding, skills, and expertise you need to understand what is inventory management, and manage logistics and supply chain operations successfully.