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How is weightage for each RFM is decided?

Excellent explanation! We have developed this RFM analysis in Odoo ERP czcams.com/video/oLP5BMT09SE/video.html

Bhai ye analysis ka data kaha se liye wo bata skta h ky

Numeric distribution indicates the quantity or number of outlets handling your products if a single SKU is present in an outlet this comes under numeric distribution no matter range selling is donë. Then there comes the number of outlets where category is available but your brand is not present so to find it out FMCG companies consult with AC Nielsen to show them a complete picture of universe. So company will come to know their distribution availability strength vs competitors.

Is the competition still on?

what is the difference between Supply chain analytics and Business Intelligence?

hi it's a great video i love that. but i found that the link for case study has expired. could you please share it again? thanks a lot!

Great Job. Thanks!

brilliant precise and top notch how do you only have 1.3k subs

Kindly the 6 segments for RFM analysis please

Great video, thanks! I've a question, if anybody could help me I appreciate. Suppose I've 10 customers and the following computed frequency: 1,1,1,1,1,1,1,4,5,6 What would be the proper criteria to split and score the data? A. Equally in terms of # of elements 1. 1,1 2. 1,1 3. 1,1 4. 1,4 5. 5,6 B. Value based? If so, what should be the proper division? ? Thanks in advance for any help.

You've given a very high weightage to the recency and very low to the monetary ? Why did you choose this weightage distribution ?

Hello Sir Can you make video on comparison based on MRP, MOP and Credit Period given to retailer? Please.

amk cennet mahallesi aksaniyla ingilizce konusan birine de ilk defa denk geliyorum.

Kindly share active links for the better understanding. Great work

I am from management background I would like to go for marketing analytics..am I eligible?

In that I learnt classification of Analytics such as follows: 1) Customer analysis: It includes customer transaction and customer behavior to indentify attract and retain most profitable customer. 2) Sales analysis: With the help of that we could find 'how your sales process?' 3) Marketing analysis: It involves technologies and process marketres and brand manager use to evaluate the success and value of their efforts. 4) Supply chain Analysis: With the help of that we can improve forcasting and efficiency and be more responsive to customer needs. 5) Risk management analysis: Review of the risk associated with particular event or action. 6) HR Analytics: It includes finding right candidate, forcasting workforce requirement and Prediction of attrition of employee. This all classification are most important at the time of learning Analytics.

It is the introductory part of Analytics. I that there are three types of Analytics. 1) Descriptive 2) Predictive 3) Prescriptive

Can you explain the 6 recommended segments for RFM analysis. The video does not speak much on it

Isn't the formula given wrong? Break even point = Total Fixed Price /Price of burger - Cost or preparing burger should be the correct one.

Nice! I really love this clip!!

Break even analysis is a prominent analysis, as it can help in projection of thin line between where the company is either making profits, or slipping away in terms of revenues. It's not a mere crude analysis, it's morover like an absolute term, It’s a calculation that will tell you how many units of something you need to sell to break even. A break-even analysis focuses on two types of costs - fixed costs and variable costs - and how changes in either affect profits. By using the break-even tool, we can map changes to costs and/or pricing to the corresponding changes that are required in sales volume if a given level of profit is to be maintained. If this is used correctly, it can I) lead to pricing strategies and optimization of prices accordingly to the market plans. II) we can find out full impact of discounts and what it cost us, and what we gained. III) we can asses the risk management factor via this analysis. We need to understand the fact that, gross contribution is only income of the business, and frequent discounts don't lead to retention of customer, it just creates a wave, which creates loss in longer run for company investment policies. That's the sole reason why Snapdeal became bankrupt, why Flipkart started to crash and lose the war against Amazon. Why the shares of reliance ADAG came significantly down. Things to be kept in mind is, 1) smarter prices needs to be kept and flexibility should be checked. 2) covering of fixed costs and expenses should be regularly checked. 3) catching up with lagging expenses is most important to escape a trap (self made to woo) 4) setting of Revenue targets are key, and appropriate targets lead to good future of company. 5) Limiting of financial strain is important, and greater leverage should be on smarter decisions. 6) Funding of business through right means are important, either debts or equity or other means. Choosing wisely is the key. Limiting disadvantage can be that it can cause a negative effect on working system(mere) if the results are constantly negative. It is used by all major companies and growing companies, it's a crucial factor in terms of competition and customer-retail relationship, be it e-commerce sites like Amazon, Flipkart, Myntra, Oyo or be it local sales like reliance retain, fresh, digital or d-mart or Walmart or food world. Be it IT companies like TCS or Wipro, nearly all use it. The company has to keep a track of all these along with the factors taught previously on the course of last 30days, to ensure a company prospers and makes maximum profits . Thank you for the beautiful opportunity, One last time, Signing off, Team: positive negative Sahil nain & ujwal kumar 💖🤞

A business' break-even point is the phase at which revenues meet expenses. When you establish that number, you should investigate every one of your expenses - from lease to work to materials - and additionally your estimating structure. At that point put forth these inquiries: Are your costs too low or your costs too high to achieve your break-even point in a sensible measure of time? Is your business feasible? A break-even investigation enables you to decide your break-even point. Be that as it may, this isn't the finish of your figurings. When you do the math, you may find that you need to offer significantly a greater number of items than you understood to break even. Now, you have to ask yourself whether your current arrangement is practical, or whether you have to raise costs, figure out how to cut expenses, or both. You ought to likewise consider whether your items will be fruitful in the market. Because the break-even investigation decides the quantity of items you have to offer, there's no assurance that they will offer. In a perfect world, you should direct this examination before you begin a business so you have a smart thought of the hazard included. At the end of the day, you should make sense of if the business is justified, despite all the trouble. Existing organizations should direct this examination before propelling another item or administration to decide if the potential benefit is justified regardless of the startup costs.

In any business, initial amount invested is the fixed cost. Every business aims to attain profit margin. But at the beginning, it is not possible to achieve profit margin. As cost of production is high and till the time to reach maximum production, additional costs increases. This leads to losses. And initially every business in short run suffers losses. For this reason, it is essential for every firm to do break even analysis. Break even point is the point at which cost of production is equal to the total revenue generated by sales. It is the point where there is no profit no loss. Whatever the initial investment the firm made is recovered, and there is no further additional costs required, at that point firm achieves normal profit. Higher the fixed cost higher will be the time span required to reach the break even point, and higher will be the initial losses. Lower the fixed cost, lower will be BEP and firm will achieve profits. This analysis is very useful for business analysis, as the time should be known to the manufacturer till when he will recover his fixed cost.

Helps in determining Whether to make or buy Selection of production machinary so as to get maximum profit for particular volume of product out of available resources. Improve the profit and loss.

Team Name : The Blues Break even analysis helps in determining - i) Safety margin. It decides the extent to which the firm can afford to decline in sales, before it starts incurring losses. (ii) Volume needed to attain target profit. (iii) Change in price, and its affect. (iv) Whether to expand production capacity or not. (v) Whether to add a new product or drop production of any product. (vi) Whether to make or buy. (vii) Selection of production machinery so as to get maximum profit for a particular volume of the product out of the available machineries. (viii) Improving profit performance by: a. Increasing the volume of sales, and or b. Increasing the selling prices, and or c. Reducing the variable expenses per unit, and or d. Reducing the fixed costs

Team Name - The Blues Applications of Scenario Analysis are- 1)Stress-testing your strategy- Many organizations use scenario planning to test the robustness of their current strategic plans against a wide range of alternative scenarios. 2)Platform for innovation- Companies on the move often use scenario analysis to expand their geographic footprint, explore adjacent markets, invest in new technologies, or reach beyond their industry boundaries. 3)Go deep organizations translate and adapt the scenarios to multiple levels to connect with those managing functional and business strategies. For example, how will the scenarios impact talent management, IT requirements, financial (budgeting) processes, or legal requirements? 4)Monitoring key uncertainties- Organizations in fast moving market often use scenarios to monitor early warning signals in the external environment. This lets them see sooner than rivals which way the wind will be blowing. 5)Rebalancing your options portfolio- Smart organizations have developed a portfolio of projects that can be adjusted whenever the tide turns. They follow a stage-gate process that starts with small investments that are later scaled up or dropped as needed. 6)Creating organizational agility- Agility requires that your strategic intent is flexibly combined with a portfolio of actions that will make your strategy happen. Some initiatives in this portfolio will prove robust across scenarios; others will be highly scenario dependent and therefore fragile. 7)Stakeholder management- Once the key elements of scenario based thinking are in place, an agile organization will use various tools to manage its key stakeholders strategically. This means sharing your views, discussing trade-offs and building support for key strategic initiatives

Scenario analysis is crucial for future planning and pre-planned outcomes, which influences majority of factors for any company and it's revenues/products. Scenario Analysis is the process of calculating the value of a specific investment, or a certain group of investments, under a variety of scenarios i.e. future possibilities. In other words, we estimate expected cash flows and asset value under various scenarios, with the intent of getting a better sense of the effect of risk on value. Via this, 1) investors, executives can analyse the amount of risks they are taking and weather it will be worth the outcome or not. 2) identification of potential future problems and it's elimination in Advance, helps in escaping multiple hassles. 3) determining and predictions of growth rate and change of strategy for marketing and execution can be changed accordingly with enough time in hand. Scenario analysis example - What would be the sales growth of Apple iPhones if GDP growth rate in the USA will be between 1% & 2% (low), 2% and 3% (average), more than 3% (high). After specifying the details of the scenario, the analyst would then have to specify all the variables, so that they align with the scenario. The result is a very comprehensive picture of the future Disadvantages are that, it's unpredictable, a positive expected scenario can backfire and create negative effects. This is used by almost all companies, for planning and organizational strategy in Advance, from reliance to Facebook, Google to tata, etc. Thank you, Team: positive negative Sahil nain & Ujwal kumar

Business administrators, venture specialists, market analysts and analysts say that the point of scenario-building is to help those in control settle on more effective choices, since they could think about various elective universes, their results and suggestions. Forecasters can utilize scenario analysis to light up special cases. Trump cards are startling and astonishing occasions with a to a great degree low apparent likelihood of event, however with a high effect. The 2001 fear based oppressor assault on the World Trade Center in New York City on 9/11 is a case of a special case. For instance, when examining the odds of planet Earth being hit by a substantial space rock or comet, we realize that over the here and now - one to ten years - the likelihood is to a great degree low. We likewise realize that the potential harm an expansive meteor could cause is significantly more noteworthy than the low likelihood over a one-year time span would propose. Scenario analysis drives us to the end that the repercussions of an immediate hit would be catastrophic to the point, that we ought to overlook it, i.e. there is nothing we could do to diminish the harming impacts. To the extent being hit by a space rock is concerned, an organization's administration will choose to slight the danger - to receive the ostrich-head-in-the-ground approach. With respect to scenario analysis is valuable, in an article distributed in Lumina Decision Systems in June, 2013 - Estimating Risk: the significance of Scenario Analysis - Sean Salleh composes: "Scenario analysis is a method for organizing pondering the future, of recognizing potential issues and furthermore of expanding readiness to deal with them." "Results are noticeable given the diverse scenarios visualized as are the ways that prompt them from the present circumstance, giving an association more extension to refine and modify designs as needs be. More outrageous scenarios (which might be sure or negative) enable plans to be pressure tried and additionally chance relief to be done, if suitable."

Scenario Analysis is another metrics of the Risk Analysis. Scenario Analysis is an analysis which shows the best situation and worst situation for the future profit. It also depend upon the past data of the company. It help the company to analyze the thing and try to reduce the risk to accept the project or to reject the project. Thank You.

Scenario analysis commonly used to estimate change to a portfolio's value in response to unfavorable event and may examine therotical worst case scenario.

Scenario analysis is the process of estimating the expected value of a portfolio after a given period of time, assuming specific changes in the values of the portfolio's securities or key factors take place, such as a change in the interest rate. Scenario analysis is commonly used to estimate changes to a portfolio's value in response to an unfavorable event, and may be used to examine a theoretical worst-case scenario. scenario analysis provides a process to estimate shifts in the value of a portfolio, based on the occurrence of different situations, referred to as scenarios, following the principles of what if analysis.These assessments can be used to examine the amount of risk present within a given investment as related to a variety of potential events, ranging from highly probable to highly improbable. Depending on the results of the analysis, an investor can determine if the level of risk present falls within his comfortable zone.

Sensitivity Analysis is one of the metrics of Risk Analysis. It determines how different values of an independent variable affect a particular dependent variable under a given set of assumptions. Thank You.

Team Name : The Blues Today’s businesses needs timely information that helps the business people to take important decisions in business. Every business should have a sound financial planning and forecasting to leverage the business. The emergence of new business model, the changing needs of the traditional financial department and the advancement in technology have all led to the need for financial analytics. Financial analytics helps in shaping up tomorrow’s business goals. You can also improve the decision making strategies of your business. Financial analytics focuses on measuring and managing the tangible assets of an organization such as cash, machinery and others It gives a deeper insight about the financial status of your business and improve the profitability, cash flow and value of your business. Financial analytics will help in making smart decisions to increase the business revenue and minimize the waste of the business Accounting, tax and other areas of finance are having data warehouse which is combined with analytics to effectively run the business and achieve the goals faster.

Team Name: The Blues 1) The key application of sensitivity analysis is to indicate the sensitivity of simulation to uncertainties in the input values of the model. 2) They help in decision making 3) Sensitivity analysis is a method for predicting the outcome of a decision if a situation turns out to be different compared to the key predictions. 4) It helps in assessing the riskiness of a strategy. 5) Helps in identifying how dependent the output is on a particular input value. Analyses if the dependency in turn helps in assessing the risk associated. 6) Helps in taking informed and appropriate decisions 7) Aids searching for errors in the model

The sensitivity analysis is, determining the viability of the project if some variables deviate from its expected value, such as investments or sales. In other words, since the future is uncertain and the entrepreneur wants to know the feasibility of the project in terms of its variable assumptions Viz, investments or sales change, can apply the sensitivity analysis. Sensitivity Analysis is very useful for a firm that shows, the robustness and the vulnerability of the project due to the change in the values of underlying variables. The purpose of sensitivity analysis can be, 1)can be used to identify key variables used in major influence in cost and benifits of project, like demands, expenses, legal costs, etc. 2)it also helps in determination of consequences of unpleasant amends of above variables. 3)to asses weather changes are made appropriately. Etc. If performance parameters are measured properly, lots of outputs can be worked upon. Nearly all big companies use this, from Tata to reliance, from Starbucks to Cafe coffee day. Thanks Team: positive negative Sahil nain & ujwal Kumar

Financial risk analysis is important for any company's survival and growth, without these basic requirements, the others factors simply won't last long . Financial risk is the possibility that shareholders or other financial stakeholders will lose money when they invest in a company that has debt if the company's cash flow proves inadequate to meet its financial obligations. There are various types of financial risk, 1)credit risk 2) liquid risk 3)debt trap 4)asset/equity based insecurities 5)currency risk 6)market change/competition risk, etc. These risks are needed to be addressed in right times, for a company to sustain. They need to be analysed properly and acted upon. Some companies which failed to do so, are seeing consequences, like air India, Kingfisher airlines, Tabzo, etc. Nearly every company needs to analyze this, to get regular cash flows with high security and sustainability. Thanks, Team: positive negative Sahil nain & ujwal Kumar.

Team Name - hB Sensitivity Analysis involves testing the robustness of the model by making small changes to the value of input parameter. Small changes in the values of input parameter should result in small changes to the output from the model that are consistent with the real world behavior of the situation we are modelling. The usual methods now a days is to carry a large no. of computer simulations based on the original parameter values, then to repeat these simulations using several sets of slightly different parameter values.

Risk Analysis is an analysis by which financial manager predict some situation and try to minimize the risk and increase the financial performance and the investment. it is very useful to each and every business to do risk analysis because if the risk reduces the probability of improve in financial aspect and ultimately there will growth of company/business. There are some advantage of doing Risk analysis 1) It helps to minimize the risk. 2) It help to increase the profit & increase the overall performance of the business. 3) It helps to analyze the future risk. Thank You.

It to uncommon for customer to never at any point take a gander at bughet model and pick to see outcome introduce in a information table organization alongside select the momentary information.

A sensitivity analysis, also called a "what-if" analysis or an information table, is another in a long queue of ground-breaking Excel devices that enables a client to perceive what the coveted aftereffect of the money related model would be under different conditions. It enables the client to choose two factors, or presumptions, in the model and perceive how a coveted yield, for example, profit per share (a typical metric utilized) would change dependent on the new suspicions. It is the ideal supplement to a situation supervisor, adding much greater adaptability to one's monetary and valuation models with regards to analysis and introduction. Truth be told, it's not uncommon for a customer to never at any point take a gander at a budgetary model and pick to see the outcomes introduced in an information table organization alongside select monetary information. This is the reason it's imperative for the examiner to comprehend the mechanics of making the information table and have the capacity to translate its outcomes to ensure the analysis is working legitimately. We will go over the mechanics of the information table straightaway.

Order fill rate is an important metric, to measure various crirerias and to work upon it. Fill Rate measures the ability to ship from stock within the agreed service level window, demonstrating the speed at which it promises to satisfy demand. It has lots of importance, A higher Order Fill Rate indicates that the company is better at fulfilling orders within the lead-time service level. Consistently meeting the lead-time enables customers to use the lead-time service levels in their planning and execution processes and can be a competitive advantage. Order Fill Rate is typically used for supply chains where stock-outs are relevant (make-to stock supply chains). Here are the measures which can be done, by order fill rate, to make improvisation in sales and delivery leading to better revenues. 1)Identify items that are selling more than their forecasted amount during the forecasting period. 2)Set targets for inventory accuracy rate to prevent stock-outs due to inaccurate inventory counts. 3)Set levels of safety stock that are high enough to last through increased demand. Perfect order metric is the best metric in supply chain ever, As it ensures the below criteria, Delivered at the correct time Delivered with the exact same quantity of items as ordered Delivered without any lost or damaged items Delivered with the right packaging Accompanied by correct (and correctly completed) documentation It ensures all factors going right, be it on time delivery, to correct invoice, to right packaging, and ensures the efficiency of customer satisfaction for any customer retail based segment. It's crucial role is on eye of every major retail chins like Amazon, Flipkart, Snapdeal, paytm market, Swiggy, zomato, and other segments which delivers products. Another benifit of above is, ease with which it can be applied to supply chain benchmarking. This is mainly because such a large number of companies are using the metric . You can always revert to your own chosen composition for day-to-day performance monitoring. Thanks, Team: positive negative Sahil nain & ujwal kumar

Order Fill Rate & Perfect Order Metric is another metric of Supply Chain Analytics. Both these metrics show how many order placed and how much inventory in hand and also how many order have placed to the customer at proper time, proper invoice. both these metrics is very useful to manage customer service and also the proper supply chain of goods/products. Thank You.

Team Name : The Blues Order fill rate is defined as the percentage of orders that can be filled based on the inventory at hand.Evaluating the order fill rate percentage helps to determine how balanced an inventory is and helping to forecast the amount of sales that can be met. Generally, a higher fill rate signifies a better ability to meet sales requests, keeping customer satisfaction high. The perfect order metric is a higher level performance measure that is formed by a combination of performance markers. It is a dynamic KPI that makes it possible to determine if various factors have successfully worked together, including if a shipment has been delivered to the right place, at the right time, in the right condition, to the right customer and with the correct invoice.Measuring the perfect order offers a holistic perspective on delivering goods. A customer will always expect an order to be perfect, and poor performance in one aspect of a transaction can overshadow otherwise seamless customer service. This is why the perfect order metric is so compelling - it helps to ensure customer satisfaction by taking into account several related factors. This metrics guide companies to look at both lagging indicators (statistics based on past outcomes) and leading indicators (more proactive markers anticipating future outcomes). Utilizing business intelligence to assess both, it is possible to “drill down” in company data to track performance more accurately than ever before

An oder is characterized as totally filled if solitary shipment Incorporated the majority of oder lines and the correct account of each oder line.

Order Fill Rate is a pointer of how well the organization stocks items that are sought after from its clients. A low an incentive for this KPI demonstrates that the organization has wasteful interest arranging and guaging, poor stock administration, below average merchant administration techniques or stock shrinkage issues. Low entertainers for this KPI encounter slower order process durations, as well as hazard a disappointed client base. These disappointed clients can prompt lost income to due whittling down and in addition lost income that stems from dropping orders that are presently on backorder. KPI Best Practices : Customer Order Fill Rate Recognize things that are offering more than their determined sum amid the anticipating time frame Set focuses for stock precision rate to forestall stock-outs because of inaccurate stock checks Set levels of security stock that are sufficiently high to last through expanded interest KPI Calculation Instructions Customer Order Fill Rate? Two qualities are utilized to figure this KPI: (1) the quantity of client orders that are filled totally, and (2) the aggregate number of client orders delivered amid a similar estimation period. An order is characterized as "filled totally" if the solitary shipment incorporates the majority of the order lines and the correct amount of each order line. Just incorporate orders that are prepared and fulfilled in this computation. Try not to incorporate orders that are dropped because of specific things being on backorder in this estimation. An order line ought to be characterized as a remarkable stock keeping unit for this figuring. An order ought to be characterized as one group of items that is asked for by the client, and normally compares to one buy order.

NPS score helps companies to know their position in the market n compete accordingly with their competitors..

RFM Analysis helps us to know about about the customers n market.. the trend , product demand, availability n all... We can know customers way better..

This principle suits best for large scale industries.. As they can work more efficiently..

Best part... The Pareto principle.. 80% effects = 20%causes