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            "3847": {
                "pageid": 3847,
                "ns": 0,
                "title": "Receivables",
                "revisions": [
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                        "contentformat": "text/x-wiki",
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                        "*": "Introduction\nBoth companies and sales representatives want to know, when customers pay their invoice. Companies need to know it to manage likvidity better while sales representatives needs to know, if there are going to be late paying cutomers to discuss future payment plans and paying policy with the company, and also to know the amount of negative bonus he would get for delayed customer payment. \n\n=Problem definition and  Method=\nI have dataset of old and new customer invoices. Based on the payment delay in the past, I will simulate the payment delay in the future using Monte Carlo Simulation in excel.\n\n=Model=\nDataset called B2B - Invoice Payment Date Prediction Model has data of (not only, but mainly) invoice payments of customers. The column of this dataset are:  \n\nbusiness_code - company code of the account, \n\ncust_number - customer number given to all the customers, \n\nname_customer - name of the customer, \n\nclear_date - the date on which the customer clears an invoice, or in simple terms, they make the full payment, \n\nbusiness_year - period that a company uses for accounting purposes and preparing financial statements, \n\ndoc_id - It is also an unique identifier of an invoice (primary key), \n\ndocument_create_date - the date on which the invoice document was created, \n\ndocument_create_date_norm - normalised date of the invoice document, from my findings of the dataset, documents issued on weekends are shifted to working days, \n\ndue_in_date - the date on which the customer is expected to clear an invoice, \n\ninvoice_currency - the currency of the invoice amount in the document for the invoice, \n\ndocument type - it represents the type of document. eg D1 represents invoice, from my findings, I can say that this dataset has only two types are represented \u2013 RV and X2, which means Sales Order Billing [which according to (Lazzari, 2019) means for my purpose the same as sales invoice] and AP conversion (Your Finance Book \u2013 Editorial Staff, 2022), which is not useful for my use case. \n\nposting_id - key indicator to identify whether an AR item is invoice, deduction, credit memo based on its value, \n\nbaseline_create_date - the date on which the Invoice was created, \n\ncust_payment_terms - Business terms and agreements between customers and accounts on discounts and days of payment, \n\ninvoice_id- an unique number assigned when a seller creates an invoice, \n\nis_open_invoice - indicator of whether an invoice is open or closed, isOpen = 1 means that the invoice is open (SkywalkerHub, 2021). \n\nAnother column not mentioned by SkywalkerHub (2021) is posting date, accorining to Kagan (2021), post day is a date, on which transaction is received to banking account, which might usually by 1-3 days from transaction date. Area business is also one of the columns. However, it has only blank values. Another two columns are baseline create date and total open amount, of which I will only use the total open amount as the invoice value. \n\nFor my purpose, I decided to use columns clear_date, document_create_date, due_in_date, invoice_currency, document type, total_open_amount and isOpen. \n\nThen, I deleted rows that bring no values to my goal, therefore rows with document type X2, I also created an exchange rate conversion for invoices payed in canadian dollars to convert them to use dollars (the currency used in more than 90 % of the invoices). I also divided the dataset info open and close invoices. \n\nI used close invoices to find out distribution of data. I used python library distfit, which uses goodness of fit test to determin, which probality distribusion fits the data the best (2020). \n\nI have found out, that t-student distribution with 1.399233237012562 degrees of freedom (and loc = 0.08842619452260836, scale = 2.306302358006622).  \n\nFor further study of data, I have calculated a median and average of delay for different payment categories for reference purposes, also an average value of invoices per month, which seems to be similar across month (I do not see any seasonality trends). \n\nMedian value for different payment conditions show, that invoices which should be payed on the date of invoice issue are meadianly delayed for 39 days, whereas invoices with payment condition with more than 90 days to pay are meadianly paied 16 days before due date. Other categories showed median of 0, 1 or 2. Average delay is in accordance with median and suprisingly shows, that the biggest average is again for the invoices with 0 days from issue to payment, the second biggest one is with invoices that should be payed in advance, with payment condition of 60 and more days, the invoices are in average payed even before the due date. I will introduce a different method of invoice delay based on those findings. \n\nI have used a random variable, which determines, if covid-19 pandemic with strict measures hit. If it hits, I it adds 20 % delay to payment, because businesses (customer) are stuggling with their own suppliers and customers during that time. I decided to use this on time period of 1 month, since I think that that\u2019s a reasonable interval to consider. I use the date of issue of invoice to determine, whether the invoice is in the covid-19 timeframe or not. \n\nAfter simulation of due date delay, I calculated average due date delay, median, 1rs quantile and 3rd quantile. At the end, I used the rounded average after consideration of pandemic situation to predict, how late the invoices with payment condition will be payed. I made an exception with invoices with payment condition of 60-89 and 90+, because both of those categories have negative average of payment delay and median of 0 and \u201316 respectively. I decided to calculate those using the 1rst quantile, while also considering the pandemic situation and rounding the numbers. \n\n=Results=\nResults of the simulation is estimate of payment delay of now open invoices.\n\n=Conclusion=\nThe issue of delayed payment of invoices and it\u2019s prediction can be solved by many methods. One of them is using monte carlo simulation. A necessary condition of using monte carlo simulation is knowing the distribution of data that we want to predict. That can be achieved, in ideal case, just by looking at histogram and immidiatly recognising a normal distribution. Otherwise, usage of automated tools that test many distributions at once can be only recommended, since it would be very difficult to find out the distribution by testing one after another manually. Then, consideration about important facts surrounding payment of invoices have to be made. In my case, it was payment condition and the possible negative impact of outburst of covid-19 pandemic on companies (customers). \n\n=Sources=\nDistfit. Contents. 2020. Dostupn\u00e9 z: https://erdogant.github.io/distfit/pages/html/index.html \n\nKagan, Julia. Post Date. 27. October 2021. Dostupn\u00e9 z: https://www.investopedia.com/terms/p/post-date.asp \n\nLazzari, Zach. Dost Sales Order vs. Sales Invoice. 4. February 2019. Dostupn\u00e9 z: https://smallbusiness.chron.com/sales-order-vs-sales-invoice-20610.html \n\nSkywalkerHub. Dataset info. 17 June 2021. Dostupn\u00e9 z: https://github.com/SkywalkerHub/Payment-Date-Prediction/blob/main/Dataset-info.md \n\nYour Finance Book \u2013 Editorial Staff. What Is Document Type In SAP \u2013 Relationship With Number Range. 30. Mai 2022. Dostupn\u00e9 z: https://yourfinancebook.com/document-type-in-sap-fi/ \n\n=Code=\nThe simulation can be downloaded here:\nhttps://www.simulace.info/index.php/File:Receivables.zip"
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            "2498": {
                "pageid": 2498,
                "ns": 0,
                "title": "Recommendations You Should Check Out If You Have Hemorrhoids",
                "revisions": [
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                        "*": "<br>Hands down, this post will be your best source for recommendations about hemorrhoids. No person loves to talk about them, but everybody could have them. Utilize the suggestions in this post to learn about almost everything you can do to help remedy your current versions or protect against future ache.<br><br><br>In case you are having problems with hemorrhoids, it is essential to help keep your rectal place as nice and clean as is possible. You must clear your rectal place multiple times a day. Washing the anal place may help avoid infection. When you get disease, it could lead to abscesses within the rectal location.<br><br><br>Even though or maybe specially because this issue can be quite a bit unpleasant for many individuals to share it is essential you are aware what is going on and feel comfortable speaking to a medical professional. 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Which means that you must decrease the foods which may have high-cholesterol and excess fat content to boost the way you really feel. Eat well-well-balanced foods that are rich in healthy proteins for best outcomes.<br><br><br>Hemorrhoids are generally the result of a inflammation of some flesh across the rectum. An excellent medication dosage of an ice pack and compression can help to reduce the puffiness because it concurrently numbs and shrinks the size and style and seriousness of the hemorrhoids. Like every other injury within the body, ice, pressure and departing it on your own will help it to mend.<br><br><br>Raise your knee joints although sitting in cozy bath h2o. This permits the warm water to calm your hemorrhoids ache, and reduce soreness and irritation. Drinking water that may be just rarely cozy pulls a lot more blood vessels towards the region, which soothes ache and irritation. 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Some of the finest many fruits for this particular are watermelon, grapes, and papaya. Also, take in a lot of veggies which are rich in dietary fiber, such as cabbage and okra.<br><br><br>Do not consider laxative drugs if you can assist it. Whilst they will help you utilize the restroom once you bring them, they lead to further more bowel problems at a later time. This may only worsen your discomfort and stress. Get alternative methods to take care of your piles look at modifying your diet or taking dietary supplements.<br><br><br>Keeping your anal area as clean as you can is a great way to make sure that you usually do not expertise hemroid flare-ups. Plenty of periods, we experience puffiness and soreness as a result of microbe infections. It's a real awful spot in that area, a literal wasteland. Be sure you're trying to keep it thoroughly clean to protect yourself from any bacterial infections.<br><br><br>Ingesting a reasonable amount of caffeine intake is useful for each retaining you inform and helping to management hemorrhoids. Caffeine intake receives your bowels relocating and inhibits from turning into constipated and getting to move tough feces, which encourages the formation of hemorrhoids.<br><br><br>There are lots of alternative remedies to assist you to decrease your hemorrhoids. One tip is to use true garlic clove mixture.  If you loved this article and you would like to get more details pertaining to [http://olej-konopny.eu/ olejek Cbd] kindly go to our own web-site. Crush a couple of garlic cloves until you have a mixture-like consistency and then use it for the place liberally. Try this before going to rest.<br><br><br>To cover it, piles will not be an enjoyable factor, sometimes to discuss or encounter, first hand. You possess come across the very best source of information entirely possible that treating your ailment. Ideally, exactly what we organized for yourself, will help you or any person you are aware of, to care for this issue.<br>"
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