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Day: March 23, 2023

Controlled Operations: Why it is Essential

Posted on by Imarticus Learning

Establish Clear Objectives

Businesses should establish clear objectives for implementing controlled operations, including financial performance, compliance, and risk management goals. Setting goals will provide a framework for designing and implementing controlled processes.

Develop a Detailed Implementation Plan 

Organisations should develop a detailed implementation plan outlining the steps required to install controlled operations, including developing policies, procedures, and systems. 

certified management accounting course

The implementation plan should also identify the resources needed to install controlled processes and the timeline for implementation.

Implement Robust Internal Controls

Controlled operations rely on strong internal controls to ensure the accuracy and integrity of financial information. Organisations should implement robust internal controls to prevent financial fraud and to ensure that financial information is accurate and reliable.

Train Employees

Employee training is essential for successfully implementing controlled operations within an organisation. Employees will gain a deeper understanding of their roles and responsibilities by providing education on policies, procedures, and systems, thereby strengthening the controlled operations process. 

Monitor Performance

Performance evaluation of controlled operations is crucial for organisations to determine their effectiveness in meeting desired goals. Businesses can achieve this by monitoring performance metrics, ensuring compliance, and continually seeking ways to improve the controlled operations process.

Regularly Review and Update Procedures  

Organisations should regularly review and update their controlled operations procedures to remain relevant and practical. The process can include updating policies and procedures in response to changes in the business environment or regulatory requirements.

Ensure Adherence to Regulations and Standards 

Sticking to essential rules and standards for reporting finances and protecting information is necessary for organisations to have controlled operations. They should do regular checks to ensure they follow these rules.

Conclusion

Controlled operations are a crucial aspect of efficient financial management in organisations. By incorporating controlled operations, organisations can improve their financial performance, make more informed decisions, and ensure adherence to financial regulations and standards.

Implementing controlled operations requires clear goals, a comprehensive plan, strong internal controls, employee training, regular performance monitoring, continuous improvement, and expert assistance.

If you want to enhance your management accounting skills and become a CMA-certified professional, the Imarticus Certified Management Accountant course can help you achieve your goals. 

This comprehensive accounting and finance certification program will give you the knowledge and skills you need to succeed in management accounting. 

Imarticus Learning’s US CMA program covers various topics, including budgeting, forecasting, financial reporting, internal controls, and performance metrics, and is taught by experienced professionals in the field. 

With a focus on practical skills and real-world applications, the CMA course is the perfect way to build your expertise in management accounting and advance your career.

Popular Methodologies for Supply Chain Management

Posted on by Imarticus Learning

Supply chain management deals with cut-edge tools and methods in which businesses can be revolutionised. From acquiring raw materials to manufacturing and delivering a product, the supply chain management is responsible for completing orders at the right time while ensuring the highest quality of any product.

global supply chain management and operations officers course

As we share our insight on the current landscape and processes that the Chief Supply Chain and Operations Officer overlooks, we aim to outline the seemingly complex process that stands as a critical element to any business. This article will explore the supply chain management strategy while delving into the procurement process.

How Does Supply Chain Management Work? 

Supply chain management (SCM) is an elaborate process that controls the existing incoming and outgoing flow of goods and services. It examines all processes, from acquiring materials needed for making the product to delivering the final product. 

It works by optimising the procurement process in a way that is in the company’s best interest. While the process entangles numerous management areas, these fields conclude the entirety of the SCM process —strategic planning, procurement, product development, inventory management, and logistics. 

Overview of Popular Methodologies 

The Chief Supply Chain and Operations Officer looks after the two main areas of SCM, namely logistics-based methodologies and demand-based methodologies. The logistics process consists of a multitude of areas including inventory, transportation, warehousing, and distribution. 

Furthermore, it handles the streamlining of resources. On the other hand, demand-based methodologies analyse customer demand and the costs of meeting that demand.

Logistics-Based Methodologies

Just-in-Time (JIT)

Just-in-time management is a methodology aimed at reducing costs and space related to inventory by storing only items according to existing demand. This process ensures ample use of storage for manufacturing and retail settings.

Cross-Docking Logistics

Cross-docking is a logistics practice where products are received from a supplier and immediately reloaded onto a different vehicle for delivery to the customer. This approach eliminates the need for warehousing, reducing inventory costs and shortening delivery times.

Lean Logistics

Lean logistics is a methodology designed to increase efficiency and reduce costs by eliminating waste in the supply chain. It focuses on streamlining processes and eliminating non-value-added activities, such as unnecessary handling and storage of products. 

Reverse Logistic

Reverse logistics return goods from customers to the manufacturer or supplier. It is used to manage returns of defective or repaired products or dispose of excess inventory. 

Supply Chain Visibility

This approach focuses on increasing visibility into the supply chain by leveraging technology such as tracking systems, sensors, and RFID tags. It creates a real-time view of the supply chain, allowing organisations to anticipate and respond to changes more quickly.

Vendor-Managed Inventory (VMI)

Vendor-managed inventory (VMI) is a supply chain management system in which the supplier of a product is responsible for maintaining the appropriate inventory level of that product at the customer’s site. The supplier replenishes inventory as it is consumed for forecasting customer demand for the product.

Quick Response (QR) 

The Quick Response (QR) method is a supply chain management method seeking to maximise efficiency and minimise costs by using technology and data to make decisions quickly. It is designed to reduce inventory costs, improve customer service, and eliminate waste in the supply chain. 

Demand-Based Methodologies

Demand-Driven Materials Requirement Planning (DDMRP)

The Demand-driven MRP is a planning system for managing inventory within a given supply chain. It uses a pull mechanism to adjust inventory levels based on demand signals as opposed to the traditional push system method.

Distribution Requirements Planning (DRP)

The Distribution Requirements Planning (DRP) division ensures the efficient delivery of systems at the right time by combining inventory, sales, and product data. The system creates a plan for product distribution used for both long-term and short-term needs.

Automated Replenishment System (ARS)

As the name suggests, the Automated Replenishment System (ARS) combines the tracking of inventory levels with the automated generation of orders on the fall of stock levels. This automated system ensures the availability of inventory on customer demand.

Warehouse Management Systems (WMS)

The Warehouse Management System (WMS) is an adequate supply chain management strategy that drives companies to manage the storage and movement of inventory within the existing supply chain. It is a software application that can be easily integrated with other systems to generate real-time visibility.

Enterprise Resource Planning (ERP)

Enterprise resourcing planning is a system with demand-based methodologies that handles procurement process management by offering real-time visibility. Apart from procuring, the ERP helps companies source and distribute goods and services.

Advanced Planning & Scheduling (APS)

The Advanced Planning and Scheduling (APS) system is an integrated process aligned with the supply chain for planning, scheduling, and optimising the flow of materials and resources. This process identifies and mitigates supply chain risks and improves customer service expectations.

Conclusion 

The popular methodologies used in supply chain management are beneficial to the overall improvement of supply chain operations. Not only do they help to reduce overriding costs, but they also enhance the supply chain and deliver better alternatives to ongoing operations.

Per a report by Grand View Research, supply chain management is projected to grow by a minimum of 11.1% CAGR by 2030. An IIM supply chain management course delves into the intricacies of the supply chain management process while also discussing the skill set and knowledge required to apply these methodologies. Seize the opportunity today and apply for an extensive SCM programme with Imarticus’ Executive Certificate Programme in collaboration with IIM Raipur!

Expertise in supply chain management equips managers with the proper understanding for handling elaborate processes. Furthermore, you can always refer to a supply chain management certification course to ensure that your employers have the best impression of you.

10 Must-Have Skills to Become a Full Stack Developer

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The rapid development of technology has created a huge pool of vocations requiring skilled experts on each front. Certain professions become obsolete if not upskilled in time. However, the demand for a full stack developer will not die anytime soon. Touted as highly skilled coding experts, these developers work on both front- and back-end development of an application. 

Full stack web developers are proficient in a variety of data structures and algorithms and software like Kubernetes. Their versatility and desirable skillset make them high-in-demand professionals.

Read on to learn the top 10 skills a full stack web developer must possess.

Who is a full stack developer? 

Web developers need different types of skills to design and maintain the front end and back end of a website. That is why, companies typically hire developers whose skills match the job requirement. 

Full stack developers have overlapping skills and can handle both the user side and server side of an application. They design and maintain databases and ensure the error-free running of web applications. 

What are the responsibilities of a full stack developer? 

Full Stack Developer course

A full stack web developer shoulders a horde of responsibilities and is an invaluable part of any organisation. Let us take a look at the job description of a full stack developer. 

  • Development and design of software and optimising it for better performance 
  • Writing code for both the backend and front end of a website. And, designing interactive user windows on web applications 
  • Creating databases and servers for the back end of websites and software 
  • Making sure websites are compatible with and optimised for every platform 
  • Developing APIs and collaborating with graphic designers to curate new features 

Usually, if the size and scalability of the software are small, companies may hire full stack developers to design and maintain both the server and client software. 

10 skills that a full stack developer must have 

A full stack web developer has a multifaceted role in an organisation. The top 10 skills he/she must possess are: 

  • JavaScript

It is probably the most popular and important programming language on the client side. It is widely used to write both front- and back-end servers. You will need a thorough knowledge of JavaScript to become a full stack developer. 

  • CSS/HTML 

HTML is a web language that controls the different types of text styles through command tags discerning headings, paragraphs and other text styles. CSS, on the other hand, is a style sheet used to make the front end of a website more decorative. The fonts, spacing, and size can be differentiated with it. Full stack developers need to know both of these to design websites. 

  • Back-end Languages 

While the knowledge of front-end programming languages is essential, a full stack developer also needs keen knowledge of back-end programming languages. This includes Python, PHP, Java, and Ruby. You will need to know at least 2-3 of these to become a good full stack developer. 

  • Github

It will always get a special mention when discussing web development, as this platform brings developers together and helps them connect with each other during projects. It also helps developers manage and work on different projects. It helps them network and learn how to work better in a team environment. 

  • Web Architecture 

Software development is one of the main responsibilities of a full stack developer and thus, he/she needs to be well-versed in web architecture. Since they have to build these websites from scratch, they need to know everything about structuring data and code, categorising files, and performing basic computational jobs. 

  • Basic Design

The process of developing the front end of a website also includes designing the website in a way that is aesthetically good. For this reason, full stack developers also require basic design knowledge. 

  • API 

A full stack developer must also be proficient in APIs (Application Programme Interfaces) like SOAP and REST. These can help bridge the gap between two different elements of the development of the two parts of a website, thus making the process more efficient. 

  • Knowledge of Security 

A full stack developer also has to be aware of the security concerns of a website as a developer. For this, a rudimentary knowledge of web security is necessary. 

  • Tech Knowledge

As a full stack developer, you have to update yourself constantly. Keeping up with the new developments in your field to stay relevant as a professional is a necessity.

  • Soft Skills

Besides possessing hard skills, a full stack developer must be equally proficient in soft skills, including: 

  • Analytical and problem-solving skills 
  • Creative outlook 
  • Communication skills 

Conclusion 

The growing demand for full stack developers makes it the perfect time to choose this as a career. Imarticus Learning’s Full Stack Developer Pro course can help you succeed in this field. This professional course has a dedicated career service and a job-centred curriculum that can help land high-paying jobs right out of the gate. 

Top 5 Data Mining Tools

Posted on by Imarticus Learning

In today’s world, data mining is an important process when organisations think about business decisions. Data is a very valuable asset for modern companies. It is necessary to extract data from a data source.

This is when data mining tools come into the picture. They enable companies to find out data trends and establish links between them. The extracted data is used for data analysis.

Learning how to use basic data mining tools is quite significant in keeping with today’s work environment. One way to do this is by taking part in data science training. Learn data visualisation with Tableau as well as using other tools such as RapidMiner and KNIME. Keep scrolling to learn about data mining tools and how neural networks are utilised for coherent data mining.

What is Data Mining?

Simply put, data mining is the method of analysing huge amounts of data and using it for mitigating risks and solving problems. The analogy of mining is accurate since you are extracting material from mountains of data in order to find items which you need.

Data science and machine learning course

Learn data mining today as it will be beneficial for your career as a Data Analyst or Business Intelligence Expert. Finding patterns to tackle problems and categorising data are some other uses of data mining. Data mining helps companies to reduce costs and improve customer service.

You must know about neural networks when discussing data mining. Extracting huge chunks of data can be done easily by using neural networks. These help in finding out hidden data from large chunks. You can use this for data analytics at your company.

Benefits of Data Mining

A career in data science has huge scope in present times as we live in a data-driven world. From providing valuable insights to increasing profits, there are various advantages of data mining. You can read about some of them below. 

  • Helps to detect fraud – You can identify risks using data mining and consequently detect fraud. Traditional methods often fail to find these, especially when using unorganised datasets. You can detect types of risks and find out ways to tackle them in the future. 
  • Helps to collect reliable data – You can use data mining to gather reliable information to use in market research. This information can be vital for the company as they can find out what customers want. Data mining is also useful for companies to evaluate themselves as to where they stand in the current market scenario.
  • Analyses huge chunks of data in quick time – The sheer volume of data becomes too much to handle for companies. Data mining is a boon in this regard. Most modern companies use data mining to analyse large volumes of data rapidly with accurate results.
  • Aids in identifying customers – Each product in the market has a unique customer base. With data mining, the job of identifying clients is much easier. Using the right tools, companies can target specific customers and showcase products which they are most likely to purchase.
  • Increases company revenue – Data mining analyses large volumes of data and subsequently enables companies to find out what their customers like and dislike. By using this information, the company can make future predictions and improve its products. This is helpful for the revenue growth of the company.

Best Data Mining Tools

There are quite a large number of data mining tools in use at present. Both beginners and experts have their own tools to work with for their specific domains. Take a look at the 5 most popular tools which a Data Analyst uses.

RapidMiner

One of the most used data mining tools in the market is RapidMiner. The data science platform can almost do any job related to data – clustering, preparing and predictive modelling. Even if you lack technical skills, you can use this tool easily.

A large number of online courses can make anyone an expert on RapidMiner. The inbuilt algorithms and drag-and-drop interface are a few highlights of this tool.

You can spot patterns and trends after analysing your data in RapidMiner. The large user base is always enthusiastic when it comes to lending help to new users. You can visualise data and create data models with the help of this popular software.

KNIME

Konstanz Information Miner or commonly known as KNIME is an open-source data mining tool. The customisable interface is one of the best features of this tool.

You can perform all types of data mining jobs with KNIME. These include regression, classification and data simplification. You might even apply machine learning algorithms to perform tasks.

Seamless integration with Python and R extends the service of KNIME. From small business firms to large financial firms, KNIME is a widely popular tool in the world of data mining.

Apache Mahout

Creating scalable applications is easier and faster than ever due to Apache Mahout. Using machine learning methods such as categorising, filtering and clustering are some highlights of this data mining tool.

Data Scientists use Apache for analysing huge volumes of data. They use their own algorithms inside this free tool. Leading companies such as Yahoo and LinkedIn use Apache Mahout for their work.

Python

The most popular programming language, Python is a must-have for any Data Analyst. Its user-friendly interface and open-source platform give this tool a huge boost over many others.

The applications of Python are seemingly endless. Handling voluminous data and organising it is quite easy to do. Writing codes and automating data are some other uses of Python.

What makes Python really popular is its free platform and its library of packages. Most companies make use of this programming language in their functionality.

Tableau

Tableau is a data visualisation tool which is hugely popular among data scientists. Data visualisation with Tableau is mostly used for large datasets.

You can create maps, charts and graphics without writing any code. This data mining tool is available both as desktop software and mobile application. Quick data analysis is one of the top features of this data visualisation tool.

Conclusion

Learn data mining by enrolling in a machine learning certification course. It is vital to gain insights into the various tools that you will need. Apart from the list on this page, there are quite a number of other tools out there. Find the ones that suit you and hone your skill in them.

Enrol at Imarticus Learning which is your one-stop solution for making progress in your career in data science. This IIT data science course is one of the best you can take part in. It combines online classes with campus immersion at IIT Roorkee.

Enrol in the Certificate Program in Data Science and Machine Learning today and get the best guidance on data science. Created with iHUB Divyasampark @IIT Roorkee, this course enables candidates to build a strong base in data science. Join the course today!

X Fundamental Principles of Financial Accounting

Posted on by Imarticus Learning

Financial accounting speaks volumes about a company’s financial health, from revenue and expenses to assets and liabilities. With financial accounting, you can translate complex financial data into a clear and concise story that helps businesses make informed decisions and investors understand a company’s potential. 

So if you want to speak the language of business, then get ready to crunch some numbers and dive into the world of financial accounting!

Financial Accounting – Definition

The specific branch of accounting that records, summarises, analyses and reports all financial transactions related to business operations over a set period of time is known as financial accounting.

Why Financial Accounting is Important in Today’s Market?

Financial accounting is crucial in today’s market for several reasons:

  • Provides accurate and reliable financial information for informed decision-making
  • Helps companies comply with legal requirements for financial reporting
  • Measures a company’s financial performance over time
  • Attracts investors and creditors by demonstrating financial health and potential
  • Enhances transparency and accountability in business operations

Top 10 Fundamental Principles of Financial Accounting

The principles of financial accounting are the backbone of a transparent and reliable financial reporting system.

1. Accrual Basis Principle

This principle states that revenue should be recognised when earned, and expenses should be recognised when incurred. This means that revenue should be recorded when goods or services are delivered and not when payment is received. Similarly, expenses should be recorded regardless of when payment is made.

2. Historical Cost Principle

It states that assets should be recorded at their original cost. This cost should be maintained in the financial records unless there is a change in the asset’s value due to events such as depreciation or impairment. This principle ensures that the financial statements accurately reflect the value of the company’s assets.

3. Revenue Recognition Principle

According to this principle, revenue should be recognised when it is earned and can be reliably measured. This means that revenue should be recorded when goods or services are delivered, and not when payment is received. This ensures that the financial statements accurately reflect the company’s revenue streams.

4. Matching Principle

This principle states that expenses should be matched with the revenue they help generate. For example, the cost of goods sold should be matched with the revenue from the sale of those goods. This ensures that the financial statements accurately reflect the company’s expenses.

5. Full Disclosure Principle

All relevant financial information should be disclosed in the financial statements so that users can make informed decisions based on the information presented. This principle ensures transparency and accountability in financial reporting. Mergers and acquisitions in financial accounting can significantly impact a company’s financial statements, making it a crucial area of expertise for financial professionals.

6. Consistency Principle

This principle states that accounting methods and procedures should be consistent from one period to another to easily compare the financial statements over time. It standardises financial reporting and increases its reliability.

7. Materiality Principle

Financial information should only be disclosed if it is material or significant to the user of the financial statements. Materiality is determined by considering the size and nature of the item in question. This principle ensures that the financial statements accurately reflect the company’s significant financial information.

8. Objectivity Principle 

According to this principle, financial information should be based on verifiable and unbiased evidence. This means financial information should be based on facts, not personal opinions or biases. This principle ensures the reliability and accuracy of financial reporting.

9. Conservatism Principle

This principle states that when there is uncertainty in accounting, companies should choose the least likely option to overstate assets or income. It ensures that financial reporting is conservative and not overly optimistic.

10. Period Principle

This principle states that financial statements should be prepared for a specific period, such as a month, quarter or year. This ensures that financial reporting is timely and allows for easy comparison of financial performance over time.

Understanding and applying these principles is essential for maintaining the trust and confidence of investors, creditors, regulators and other stakeholders in the business world.

These principles help assure that financial statements accurately reflect a business’s financial position, performance and cash flows. By adhering to them, businesses can provide valuable insights to stakeholders and make informed decisions based on accurate and reliable financial information.

Conclusion

Carving a career in financial management would require a thorough understanding of the principles of financial accounting. Unlock your potential in the world of finance with Imarticus and IIM’s Investment Banking course – the perfect way to launch your career in this exciting and dynamic industry.

IIM Calcutta and Imarticus Learning’s collaboration on banking and capital markets offers valuable opportunities for professionals looking to enhance their skills in this rapidly evolving industry. With IIM Calcutta’s expertise in finance and management and Imarticus Learning’s innovative approach to education and training, the programme promises to provide a comprehensive and practical learning experience for the challenges of the banking and capital markets landscape. 

Cost-Benefit Analysis: What is it?

Posted on by Imarticus Learning

Every company has to make certain important decisions every now and then. For example, taking on a new project or deciding on a course of action in the middle of a project. At this critical time, the cost-benefit analysis can come in handy to determine whether that decision will bring profit or loss for the company.

chief financial officers course

Students who wish to become a strategic CFO must learn cost-benefit analysis so that they are able to evaluate the cost and benefit of a new project. Then the two are tallied to see if the project will be beneficial or not. Performing the analysis can help understand hidden costs and in making any decisions easier and free of bias. This is similar to the benefit-cost ratio (BCR) which is essential in capital budgeting.

Definition 

The cost-benefit-analysis is a tool or systematic process that helps in bias-free decision-making. It tells the analyst whether the particular decision will have economic benefits or the lack of it. It provides the analyst with an economic view of non-quantifiable and tangible items as well.  

For example, it’s hard to put a financial value on the experience and work potential of an employee. However, the cost-benefit analysis can even help tell whether a new employee will be good for the company or not.

Some situations where cost-benefit-analysis can be used are –

  • Taking up a new project or a business strategy
  • Deciding on a particular course of action in the middle of a project
  • Deciding on a new business strategy
  • Capital budgeting
  • Comparison of multiple investment opportunities
  • Measuring whether a change in the company structure will have positive impacts
  • Understanding whether a sale or a purchase will be favourable or not
  • Assessing the future effects of adopting new policies

Many analysts have come up with their own models of the cost-benefit analysis process. In these models, many analysts even include the opportunity cost. The opportunity cost is when other alternative courses of action are also factored into the calculations. This provides better clarity of the situation. 

The analysis process

There is no uniform method for the cost-benefit analysis process. However, analysts mainly adopt the following steps in their own way – 

Creating a framework for the analysis

The first work will be to create a framework for the analysis. In this framework, the analyst lays down the question the analysis will answer, the current situation of the company, and the factors that need to be counted for the analysis. The factors include the timeline of the project, the resources and additional personnel that will be required, and more. 

Determine the estimated costs

After building the framework, the analyst will stay working on figuring out the costs. It’s important to note that these costs can either be financial or non-financial, like negative social responses. 

The costs can also be either fixed or one-time. The costs will include –

  • Opportunity costs
  • Potentially risky costs, like competitive or environmental impacts, and more
  • Intangible costs, like impacts on brand perception, employees, customers, and more
  • Indirect costs which mainly include production costs, like transportation, rent, electricity, and more
  • Direct costs, like employees involved in the project, product manufacturing, raw materials, inventory, and more

Determine the estimated benefits

Just like costs, benefits can either be financial or non-financial. This is why it’s important to put a numerical value to intangible factors as it makes calculations easier. Benefits mainly include –

  • Direct or financial benefits, like the revenue from a new ad, or sale
  • Indirect or non-financial benefits, like customer satisfaction from product upgradation or faster delivery time, improved morale in employees, gained market share and competitive advantage, and more

Tallying the two estimated values

The main calculations come after estimating the costs and benefits. The simplest part of this process is subtracting one from the other. The end result will be – if the cost is more than the benefit, then the decision may be harmful to the business. Moreover, the complicated factors in this calculation are – 

  • Applying discount rates means the analyst factors in how the value of the costs and benefits will change within the timeline. It is basically applying an interest rate to the costs and benefits considering factors, like inflation. 
  • Calculating and level setting the analysis result for different options. Each option may have different costs and different benefits.
  • Performing sensitivity analysis, which means taking into account how uncertainties can affect the results. It can be used to come up with the best and the worst-case scenarios.

Making recommendations

Once the calculations are done, the analyst recommends in accordance with the result –

  • If the benefit is more than the cost, that would mean that the project is worth taking up. However, if the margin between the two is small, then an alternative approach might be necessary.
  • If the cost is more than the benefit, that would indicate that either the business needs to focus on its largest cost inputs or take another approach for the desired result.
  • If the cost is more than the benefit owing to large intangible values, then it’s important to revisit those costs to determine if they are accurate. 

Advantages

The cost-benefit-analysis process has some benefits that can be crucial for any business. It doesn’t only make the decision-making process simple, but it also makes it free of bias. It puts financial or numerical values on all factors and provides the result.

When making a decision, one or two factors can slip the mind. However, when analysts go into details during the cost-benefit analysis process, they uncover those hidden costs and give out the best result. It also helps companies gain a competitive edge as they keep analysing their options or decisions and progress on the best path in accordance with the results of the analysis.

Conclusion

Companies are hiring more analysts as the market gets more competitive these days. The cost-benefit analysis process has become imperative for them, so learning more about it will only help you secure a better future. The CFO Course at Imarticus can help you learn everything you need to learn. Their collaboration with IIM Indore has added that extra flair to this Certificate Programme for Emerging CFOs.

Technologies for Financial Analysis: Excel, Power BI and Tableau

Posted on by Imarticus Learning

Financial analysis is a crucial aspect of decision-making in the business world. It helps companies to evaluate the performance of their financial activities and make informed decisions based on the data they have collected.

Financial modelling is one such process that helps financial analysts to design a summary of the expenses and income of a company.

With the help of technology, financial analysts have access to a wide range of tools that can assist them in performing their work efficiently and effectively.

In this article, we will explore three of the most popular technologies used for financial analysis: Excel, Power BI, and Tableau.

What is financial analysis all about?

Financial analysis is the process of evaluating an organization’s financial performance and health by analyzing its financial statements and other relevant financial information. This analysis helps decision-makers to understand the organization’s financial position and do proper financial planning for the future.

Financial analysis is a critical component of successful decision-making, as it provides insight into a company’s financial performance and helps decision-makers understand where their organization stands financially.

What is the importance of financial analysis?

Financial analysis can be performed on a variety of financial statements, including balance sheets, equity research, income statements, and cash flow statements. These statements provide information about a company’s assets, liabilities, revenues, expenses, and cash flows.

By analyzing this information, financial analysts can get a complete picture of a company’s financial performance and identify areas for improvement.

One of the primary benefits of financial analysis is that it helps organizations make informed decisions. By evaluating a company’s financial performance, decision-makers can identify areas where the company is performing well and areas that need improvement.

The provided information can be utilized to make decisions about investments, financing, and other strategic initiatives. Financial modelling can help organizations identify and mitigate financial risks, which can have a significant impact on the company’s overall success.

Financial modelling techniques

Another benefit of financial analysis is that it helps organizations to identify trends and patterns in their financial performance. The provided information can be operated to make informed decisions about the future and to plan for potential changes in the market.

For example, if a company is experiencing a decline in sales, financial analysis can help to identify the cause of the decline and to develop a plan to improve sales by performing equity research.

What are the technologies used for financial analysis?

Financial analysis is also important for investors, as it provides information about a company’s financial performance and health. This information can help investors to make informed decisions about whether to invest in a company and determine the potential return on their investment.

Financial analysis can also help investors to identify potential risks and to make decisions about risk management.

Excel

Excel is one of the most widely used tools for financial analysis. It is a spreadsheet program that has been around for decades and has evolved over time to include powerful data analysis and visualization tools.

Excel is user-friendly and has a wide range of functions that can be used to perform various financial analysis tasks, such as creating balance sheets, income statements, and cash flow statements.

One of the most significant advantages of Excel is its versatility. Analysts can use it for anything from simple calculations to complex financial modelling.

Power BI

Power BI is a tool based on a business intelligence platform that is designed specifically for data visualization and analysis.

Power BI allows analysts to collect, analyze, and visualize data from multiple sources in one place, making it easier to get a complete picture of the financial performance of a company.

The platform has a range of features that are designed to make it easy for users to create interactive dashboards and reports. Power BI is also very user-friendly, allowing even those with little technical expertise to create professional-looking reports.

Tableau
Tableau is another business intelligence and data visualization tool that has gained a lot of popularity in recent years. Tableau allows users to connect to a wide range of data sources, including spreadsheets, databases, and cloud services, and to create interactive dashboards and reports.

The platform is highly intuitive and makes it easy for users to quickly get insights from their data. Tableau is also highly customizable, allowing users to create visualizations that match the unique needs of their business.

Which technology should you choose?

When choosing a technology for financial analysis, it is important to consider the specific needs of your business.

If you are looking for a simple tool for basic financial analysis tasks, Excel may be the best choice for you. If you need a more sophisticated solution for data visualization and analysis, Power BI or Tableau may be a better fit.

When evaluating these technologies, it is also important to consider factors such as ease of use, customization options, and integration with other systems.

The use of technologies such as Excel, Power BI, and Tableau for financial analysis has several benefits.

Firstly, these technologies automate many manual tasks, saving time and reducing the risk of human error.
Secondly, they provide more accurate and timely analysis, as they allow for the processing of large amounts of data in a matter of seconds.

Thirdly, they offer a more comprehensive view of financial data, making it easier to identify trends and patterns.
Finally, they allow for easy collaboration and sharing of financial analysis, making it easier for decision-makers to work together to make informed decisions.

Conclusion

In conclusion, Excel, Power BI, and Tableau are three of the most popular technologies used for financial analysis.

Each tool used in the industry of financial analysis has its own strengths and weaknesses, and the best choice will depend on the specific needs of your business.

Whether you are looking for a simple solution for basic financial analysis tasks or a more sophisticated solution for data visualization and analysis, one of these technologies is sure to meet your needs. If you want to learn about financial analysis, check out Imarticus’s financial analysis course.

This financial modelling certification course will help you learn and employ the various technologies of financial analysis.

Financial Technologies: Apps for Loan Disbursal, Investing and Insurance

Posted on by Imarticus Learning

Financial technology also known as Fintech is rapidly growing in the modern world. Various fields have steadily adopted it. Sectors like education, healthcare, banking, etc are utilising this customer-oriented technology.

This field of technology is used to improve the usage of financial services. It also tries to deliver the services automatically so that the masses can easily avail of them. Financial technology uses special software and programs to assist various businesses and companies with their operations and procedures related to finance.

best fintech course in India

Modern software like cloud computing is used by financial technology to render their services to big and small organisations. These technologies are also used in computers or smartphones. Fintech has also assisted in the development of cryptocurrency with the help of blockchain technology.

With help of Fintech companies have launched their applications. These apps are mainly used for sanctioning loans and availing information related to investment as well as insurance. Let’s drive in to know more about this.

What is Loan Disbursal?
Loan disbursal is the term that is used after the procedure of borrowing money has taken place. This is the phenomenon when the lender credits the borrower’s account with the exact sum of money that he had promised to lend initially. Disbursement of loan takes place after there has been enough verification of the customer.

The disbursement of loans is not a time-consuming procedure. After verification and approval of the loan, the money is credited within 2-3 days in the borrower’s account.

Apps for instant Loan Disbursal
With the assistance of FinTech, companies can create their own financial applications. This has motivated dozens of companies to build instant loan applications for smartphones. It is a new concept in the world of finance that gained immense popularity as soon as it was introduced.

These instant loan applications sanction loans on Cibil score and salary slip. Cibil Score is a 3-digit numeric that is derived from credit history. The Cibil score generally lies from 300-900.

If an individual has a Cibil score nearer to 900 then they are easily granted loans by these instant loan apps. These apps will also charge interest against every loan sanction. The rate of interest varies from one app to another.

This application instantly credits money to the borrower’s account. The instant loan apps can be downloaded from the play store. One needs to fill up their bank details to receive money on a loan.

What is Investment?
An investment is considered to be an asset that an individual often generates to grow their well over a long period. Investments are usually done to increase wealth or money for a secure future. Individuals generally prefer to invest their savings so that after retirement they do not face any monetary difficulty.

Investing allows an individual to earn more profits that will assist them. People can invest in mutual funds or can simply buy shares or stocks. Shares and stocks are usually sold at a higher price to gain more profit.

Apps for Investing Money
Besides instant loan sanctioning apps, there are many investment apps as well. These apps have occupied the finance market.

People can easily invest their money in various stocks and shares. These investing apps also hire financial experts who guide people who want to invest. Now, people can easily check the market trends and according to that they can sell and buy shares or stocks.

These applications can be effortlessly operated from smartphones. Applications for investing also allow a user to open a Demat account. This account helps an investor to hold his financial securities and shares in a digital configuration.

Mobile investing applications are extremely popular among the younger generations. To use these apps one needs to fill up certain mandatory forms that will provide the app with one’s details. One needs to link their bank account before investing via these applications.

What is Insurance?
There are various kinds of insurance like health insurance, house insurance, car insurance, life insurance and home insurance. So one might have surely come across the word insurance.

Insurance is a mere contract between an insurance company and their customers. In this contract, the company assures the customers to assist them with financial aid against their losses. The insurance companies render their services on behalf of a charge.

Hence, insurance is a kind of security an individual buys from insurance companies to safeguard their belongings.

Apps for Insurance
There are plenty of mobile applications that can be used for insurance. These applications allow their users to easily access the details about their insurance policies and claims. These insurance applications also appoint agents to enhance their services.

This application also allows a user to submit, track the status and receive updates on their claims. These activities can be carried out with a simple smartphone. At times to proceed with a claim these insurance apps might ask for authentic documents and photographs.

These apps even allow a user to compare various insurance schemes provided by various insurance providers. And select the best insurance that covers their needs. Moreover, insurance apps come with a customer service facility that is accessible 24/7.

Conclusion
With the rapid development of FinTech, the establishment of such applications has become easier. Financial technology is going to stay in the future as well. Hence, companies are recruiting more experts who have vivid knowledge of finance as well as technology.

In recent times, a career in financial technology is quite lucrative. There are many job opportunities as more companies are adopting FinTech. These jobs are offering alluring salaries as well as facilities.

Imarticus Learning has brought the best online Fintech certification course in collaboration with SP Jain School of Global Management. This course will take a time duration of 3-4 months and have classes only on weekends.

This FinTech certification course includes a comprehensive knowledge of blockchain, cloud computing, RPA, AI, and Machine Learning. All these strategic and technological education will be taught by top-notch teaching faculty. So without any delay get yourself enrolled in this FinTech course by Imarticus Learning.

5 best examples that define affiliate marketing

Posted on by Imarticus Learning

Do you know what affiliate marketing is?

Affiliate marketing is a type of marketing where you sell someone else’s product online to make money. You get a commission when a customer buys a product based on your recommendation. This helps the product creators to increase their sales. Affiliate marketing helps you to earn without being involved in the creation process or creating something.

digital marketing course

With the increase in the quantum of online shopping in recent times, affiliate marketing has risen above simple social media or content marketing. Many companies engaged in affiliate marketing have gained the status of a brand. Let’s look at the 5 best examples that define affiliate marketing.

Best examples of affiliate marketing

Amazon

Amazon is one of the best examples of affiliate marketing becoming a brand. The program of Amazon has gone through many stages of evolution and is currently known as the Amazon associate program.

There are various reasons why the affiliate marketing strategy of Amazon worked so well.

One of the reasons is that it provides millions of products for promotion. It allows the affiliates to select the product that matches their taste. It creates a flexible program for the affiliates to work in their way while staying with the brand.

Second, Amazon is an established and credible name in affiliate marketing. This makes it easier to discuss deals with affiliates.

Amazon uses various linking tools to ensure that the information about products reaches bigger platforms. It is available for individual bloggers, large websites and social media influencers.

Amazon has an “amazon associate program”, that it uses to aid content creators, bloggers and publishers to monetise their traffic. They can share products on Amazon with their audience using customisable linking tools. When a customer makes a purchase or signs up for a free trial program, the affiliate gets the commission.

Airbnb

Airbnb has defined how rentals for vacations work in many countries. It changes the staycations with the help of its affiliate program and emerged as one of the biggest names in the tourism industry. There are reasons why it stands out.

The Airbnb associate program enables affiliates with several audiences to monetise the promotion of travelling or hosting on the website.

They provide unique referral links that lead to stays, experiences and hosting pages on Airbnb.

Airbnb has also come up with the idea of creating landing pages where the affiliates can share their experience of stays on Airbnb’s exclusive page.

Airbnb designed two portions of the associate program, one for referring hosts and another for guests. This allows for the creation of closely targeted messages.

The affiliates also get access to promote 4 million+ properties around the globe.

Skillshare

As the demand for skills has increased, Skillshare came up with the idea of creating an affiliate program for its online courses. Let’s jump into why it works:

Affiliates associated with the brand earn up to 40% commission for every new customer. They get the opportunity to monetise free trial signup and paid subscriptions.

Affiliates receive a unique tracking link that they can share on their social media pages, websites or blog. It gives them flexibility on how to work around the promotion. They can also choose the courses they want to promote.

The affiliates are paid on monthly basis, which makes it a very reliable program.

Flipkart

Flipkart is another example of how affiliate marketing can change a company into a brand. It is successful because:

It provides referral links to the associates that help them to monetise the sales made on the platform.

An additional feature of the associate program is that it provides real-time reports and insights into performance.

There is no signup amount that the affiliates need to pay.

BigRock affiliate

A big name in domain registration and web hosting, BigRock has used all the tricks to create a great affiliate program like:

It tracks the URL to track and give rewards for each sale to the affiliate.

It provides a unique cookie that remains active for up to 60 days and boosts marketing efforts.

The commissions for the affiliates can reach up to 30%.

Learn affiliate marketing with Imarticus Learning

Imarticus Learning brings 228-hour Digital Marketing Course with Placement for graduates with 0-2 years of experience.

You can learn from case studies of brands like Cadbury, Tata Motors, Hindustan Unilever Limited and more.

The curriculum includes:

Digital Marketing

SEO

Content marketing

Social media marketing

Paid media marketing

Media planning and buying

E-commerce and email marketing

Affiliate marketing

Analytics

ORM

Capstone projects

Why choose us?

Imarticus’s PGP in Digital marketing course does not just help with your Career in Digital Marketing, but it also provides 100% job assurance. Along with this, you get industry certification and conquer the skill gap. We also assist learners with resume building, mock interviews and reference making.

Our alumni work at

Ogilvy & Mather India

Sunsilk

Publicis Group

DDB mudra group

JWT

To know more about eligibility, admission procedure and fees, click here.