Posts Tagged ‘Accounting’

KPIs in Easy Profit and Loss for PowerBI

Welcome to the last part of my Easy Profit & Loss series where I will cover KPIs in rows & columns:

1) KPIs in columns

Show all your figures as a percent of turnover for example: Nice & easy: Divide current figure by the total sum of turnover:

Turnover% =
ABS (
    DIVIDE (
[ActSign],
        CALCULATE (
[ActSign],
            FILTER (
                ALL ( IndividualAccountsLayout ),
IndividualAccountsLayout[Description in Report] = “Income”
            )
        )
    )
)
DAX Formatter by SQLBI

We need to leave the current row context to retrieve the turnover-value in each row, therefore the ALL.

2) KPIs in rows

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Guide for switching Signs in Power BI and Power Pivot (bypassing Unary Operators in DAX)

In finance & accounting, you very rarely report the figures with the signs of their source systems, but switch (certain) signs according to different needs. Instead of using unary operators for it, I’ll present an easy and dynamic way for it in Power BI and Power Pivot using DAX. It will cover the following 3 main scenarios:

  • 1_SwitchAll: All signs are switched (red)
  • 2_SwitchExpLiab: Expenses and liabilities are switched back to their original values (green)
  • 3_BWT_Indiv: Only the main figure for expenses (or liabilities) carries a minus, all following positions specifying the expenses are (principally) reported as positives (blue)

 

Switching signs in Power BI and Power Pivot without unary operators

I’m using the sample data from this article but changed the source-data to a double-bookkeeping structure. There signs are used and the transaction entries in your ledger table always add up to zero. This is a method that prevents errors when posting and can also be used to prevent errors in reporting. If you keep the signs in your reporting system, all you have to do is add up the relevant figures and the returned (absolute) figures will always be correct. If you have read my previous articles on Easy P&L, you have seen this method in action: No minus-operation there, just a simple stupid adding of all accounts who fall into several (sub-) total categories via the bridge-table.

The Account-table also contains of (sub-) totals and the column “AccountType” shows if the positions are regarded as Turnover (Revenue) or Expenses:

Table “Accounts”

1_SwitchAll

My values on “1_SwitchAll” corresponds to “FinalValue” in the article above. The revenues come from consultancy and coursed provided. But the revenue for courses don’t just consist of attendee rates, but the costs for catering and paid instructors shall be deducted (highlighted in yellow). So the “good” numbers that contribute to cash in your pocket shall be reported without a sign and the “bad” numbers that result in an outflow of cash shall be reported with a minus. Within the expenses category, the costs carry a minus and the travel refunds (highlighted in orange), which are cash positive, are reported as positives.

2_SwitchExpensesLiabilities

Another requirement that is often used for balance-sheet-reporting or reports that only report on cost-situations, require that the costs or liabilities are reported without signs. … Principally, because the reimbursements/cost deductions shall be reported with an opposite sign (to show the adverse effect to the cashflow). This is what “2_SwitchExpLiab” shows (not covered in the article).

3_BWT (“BossWantsThat”)

Last but not least comes a typical “BossWantsThat”-requirement: Basically some strange stuff that you just have to deliver. Here the main categories “Revenues” and “Expenses” shall be shown with the signs that reflect the cash-direction, but all specifications that follow below shall be reported without signs (again: Principally, because positions with opposite cash-effects than the main category shall carry inverted signs).

Reporting techniques covered with this approach

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Comfort Functions for Easy Profit & Loss statements in Power BI and Excel – Part2

Here comes some long awaited comfort functions for part 2 of my easy P&L series. In the first section I’ve presented the general principle on how to work with a structure using an accounts-group-table. Today I will present 2 alternatives to define the reports without specifying single accounts. So if a new accounts are added to the chart of accounts, you don’t have to adjust your report definitions: Just make sure that to fill in all the fields in your account-group-table and you’re ready to go 🙂

No need to specify single accounts

So you only need to adjust your report definitions if you add new group items. If that’s still too much, take the 2nd solution, which will even eliminate that requirement:

  1. Individual Account Layout: Just define each subtotal and determine for which subtotals single accounts shall be shown

No more specification of individual accounts

How to use it:

How to use Individual Report Layout

2. Ultrashort Account Layout: Further simplification of just defining the groups (hierarchy) that shall be shown (with option to filter on one of them)

No need to define individual group items

How to use it:

How to use Ultrashort Layout

So these 2 different layouts will both produce the same reports incl. all accounts – just like in the first example. So you can choose which layout-style suits you best – actually, you can use all 3 in parallel. You just have to make sure to grab your pivot-rows from the correct tables and in Excel to grab the matching measures, as they all have their own bridge-tables (which need to be used in the measures):

 

How it works

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Easy Profit & Loss (and other account) statements in PowerBI and Excel – Part2

Welcome to part 2 of my series of easy Profit & Loss and other account statements in Power BI and Excel. In the first part I introduced the general principle of creating asymmetric shaped reports who use just one measure per column (you should have read this article in order to understand this post here).

How the technique works

This technique capitalises the aggregation power of the Vertipaq engine and creates a bridge-table between your DimAccount-table and the ReportsAccountsLayout-table. In there for every line of your report, all accounts that belong to the (sub-)totals are matched (“AccountsAllocation”). This table can get very long, but the engine can handle this easily:

Different use case: Account-groups-tables

In the first example we’ve worked with a chart of accounts, which had a parent-chield-hierarchy defining all the subtotals of the report. In this example we’re working with a different setup, using the good old DimAccountsGroups-table. Just one row per account and the columns are coming in pairs, containing the group-criteria and the sort-order for the report:

Individual Report-Layout

We also need a second table (ReportsAccountsLayout) that holds the definitions of the report-layouts like this:

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Easy Profit and Loss and other (account) scheme reports in Power BI and Power Pivot using DAX

This is about an easy way to create typical finance reports like Profit and Loss using DAX that (unlike all other solutions I’ve come across so far) can be handled with very basic knowledge of this language like this:

Image1

The trick

The trick that makes my solution so easy lies in the fact that it requires no aggregation functions of the output-mediums like:

  • pivot-tables: who struggle with asymetric logic and are not available in Power BI so far
  • cubefunctions: who are not available in PowerBI so far

So we have to build the details as well as all aggregations into the solution as it is and don’t rely on/use any aggregation functions (This means for Excel: We have to turn off subtotals as well as totals in our pivot tables. It means for Power BI: Hurray! Finally a solution where the lack of pivot-tables doesn’t matter).

How to

The aim is to create a table/matrix with (account) details and aggregations into the rows and different slices of time-Intervalls or comparisons into the column sections. As for the columns, this will be covered by measures like [Actuals], [Budget], [PreviousPeriods], [Differences in all shapes…]. And – as the values in the columns should be the same – I’d prefer to use only one measure per column – that is fully sliceable and works on all (sub-) totals of course. … Ok – so some dreams later I found it:

MyMagicMeasure := CALCULATE([StandardMeasure], AccountsAllocation)

So you just wrap simple measures like Act=SUM(Fact[Amount]), Plan=SUM(Plan[Amount]), DiffPlan_Act=[Plan]-[Act] … into the CALCULATE together with the bridge-table as the filter-argument:

This is the many2many-technique in it’s simplest form (PostFromMarcoRusso). It all goes via simple aggregation on all accounts found in the filter context:

Image4

Our  bridge-table “AccountsAllocation” consists of one account number per simple account and has multiple rows for the (sub-)totals – being all accounts that belong to them:

Image5

The ConsKey stands for the row in our report (1) and the AccountKey_ holds the account numbers that are going to be aggregated (many (for the sub-totals) and 1 for the account-rows). So all we need is this unique and simple aggregation on AccountKey for every row in the report – with a filter from the Reports-table via our bridge table to the DimAccounts, who then filters our FactTables: 1 -> many -> 1 -> many.

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