Your financial numbers look fine. But are they accurate?
Imagine, your finance team spends a week pulling together the monthly numbers. They provide you with a report. Everything looks clean.
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Then your VP of Sales comes in with another revenue number from the same time frame, the same company, but a different system. You now have two numbers and no clue which one is right.
You choose the higher one, make a note in the report, and continue.
Sound familiar?
This occurs daily in Canadian businesses. And most of the time no one marks it as a serious issue. They simply turn a blind eye to it. Build another spreadsheet. Install an additional manual step. Until one day the CRA writes a review notice, a bank has some serious questions to ask about your finances before making you an offer, and those workarounds start costing you cash!
The real issue is pretty much always the same: lack of financial data quality.
This article explores what it means, why it matters for your business, and what you can do about it.
Why Financial Data Quality Matters
Financial data quality is about the accuracy, completeness, and consistency of the numbers in your business across all your systems.
That might sound obvious. Your numbers should be correct, of course. But most growing companies end up with financial data stored in several systems, such as an accounting system, a payroll system, a sales CRM, and perhaps some spreadsheets, and those systems rarely communicate in a clean manner. There are variations in the numbers in each. They were established at various times, in various places, under various rules.
The result? Your finance team is more concerned about who's right than who's right with the numbers.
So, what is the significance of that?
Wrong Numbers Lead to Wrong Decisions
All the business decisions, from hiring to pricing and expansion to cost-cutting, are rooted in financial data. If that information is incorrect or conflicting or dated six weeks ago, you are making important decisions on an uncertain base.
A simple example: you believe that your gross margin is 42%. After adjusting for miscoded expenses and a revenue recognition error, your actual margin is 36%. You offer a new contract for 42%. You win the deal. You incur a loss on it. It's not some kind of accident. That's a data quality issue with a cost implication.
Compliance Gets Complicated Fast
Canadian businesses are compelled to deal with CRA reporting and HST/GST filings in various provinces, employment deductions, and, for many industries, the additional reporting requirements. All of this work is reliant on the existence of accurate and traceable financial records.
A standard CRA review becomes a lengthy and costly process of "reconstructing records" when your data is messy, such as transactions categorized in the wrong category, reporting periods are inconsistent, or data is stored in various disconnected systems that don't sync. And when mistakes are uncovered, so are the penalties. This is no hypothetical threat. It's a very hands-on one for any business that's outgrown their financial systems.
Banks and Investors Look at Your Data Quality Too
You'll be familiar with the process of applying for a business loan or investment, and you'll know that lenders and investors don't only check the headline numbers. They consider the processes used to generate those numbers. Are they stable on an annual basis? Are they all the same story but presented in different ways? Are there any odd gaps or changes?
Clean and well-organized financial data speeds up the business due diligence process and decreases the number of awkward questions asked. Problems with data make customers doubt, even when the business is doing well.
What Is Financial Data Quality Management?
Financial Data Quality Management (FDQM) is the practice of ensuring your financial data remains accurate, complete, and consistent over time.
It is not a software product. It is not a one-time cleanup project. It's a continuous series of practices that manage the creation, verification, storage, and utilization of financial data throughout your business.
Think of it like this. Financial data quality management is like a restaurant's system for ensuring food safety. You don't just once inspect the kitchen and assume that it is all right forever. You develop habits, checklists, or accountability systems to ensure quality is consistent daily, even if you have a changing staff, suppliers, or menu.
The same applies to financial information. If left to its own devices, data quality will go downhill. New users join and input data in various ways. Systems are neither integrated nor added. Workarounds are constructed and then forgotten. If you don't have a system to keep quality going, the issues gradually accumulate.
Five Ways Financial Data Can Go Wrong
There are five main dimensions of data quality. Five specific areas where your financial information can be inaccurate. Knowing each one can help you determine where your real issues lie.
Accuracy: Does the number reflect what happened?
This question is the simplest one. An incorrect amount was entered in the invoice. An incorrect expense account coding was used on a payment. Inaccurate Customer Record Billing Address. These are accuracy issues; they're typically caused by human error, especially when dealing with data entry.
Completeness: Is anything missing?
Purchase Order without Cost Centre. An expense that is not substantiated by a receipt. A report reflecting the consolidated financial position and results of operations at month-end, whereby the report does not contain the subsidiary due to an error in including it. Without the information, there is a lack of reporting, and audits are much more difficult.
Consistency: Are all your systems in agreement?
This one is the one that will get you the most frustrated on a day-to-day basis. You track revenue in your accounting system at one rate. Another is displayed in your CRM system. The department codes you have in your payroll system are not the same as in your general ledger. If they are not aligned, then a manual process will need to be carried out by your finance team each month to make up the gaps. That's time-consuming, labour-intensive, and totally unnecessary.
Timeliness: Is the data up to date?
Accounting information that is 2 weeks behind is of no use in managing cash flow. When information becomes outdated, it impacts daily decisions on fraud detection. The nearer your data is to real-time, the more useful it is.
Governance: Who owns the data?
This is the one that most businesses skip entirely. Governance is the concept that individuals are accountable for the quality of data. It means that there are rules to follow in entering data, reviewing it, and approving it. And it also means that one can see who changed each number and where it came from.
A well-implemented system that is not governed will fail over time. Users input the data in whichever way is most convenient for them. Rules get bent. Standards drift. Governance holds the other four dimensions together.
Common Problems Canadian Businesses Actually Deal With
These are the common scenarios that typically appear in mid-size Canadian companies.
Multiple systems that don't connect properly. Most companies have a variety of tools to use for accounting, payroll, sales, and perhaps project management. These systems were selected as optimal when they were developed. What they don't understand is that they can't function together. Getting a single clear picture of financial performance means someone manually pulling data from each one and piecing it together. Every month.
There are many definitions for things. In your business, what is meant by the term revenue? You can ask your sales team, your finance team, and your operations team, and you will likely receive three different answers—it's not that they are incorrect; it's just that no one ever formally decided on what they would all agree on. So, this issue may seem like a trivial detail until you have three revenue numbers on a board meeting and don't know how to explain the difference between them.
Manual reconciliation takes days. Reconciliation involves comparing two sets of numbers to ensure they match, for instance, your bank statement with your accounting software. Tackling reconciliation in businesses with no clean data integration is nearly all manual. It takes days. It is performed using spreadsheets. In addition, when the builder of those spreadsheets walks out the door, that knowledge goes with him.
Province-by-province tax complexity. Canada's tax regime is indeed quite complex for companies with multi-provincial activity. Different rules, different rates, and different filing requirements, depending on where you are doing business. If you have no validation in your financial systems, tax misclassifications creep in and come to light at the last minute.
Excessive use of spreadsheets. There's nothing wrong with Excel. This is a strong instrument. The challenge is when it becomes the foundation of your financial reporting, when key calculations are accessed from files on various computers, manually entered, sent via email, and not formally tested. That's fragile. And the more fragile it becomes, the harder it is to grow the business.
What You Can Do About It: Five Practical Steps
The bright side of the situation: It's not necessary to make all changes at once. A few simple steps can make a difference in most businesses.
Step 1: Establish clear data ownership.
In deciding to change technology, determine who is accountable for the accuracy of each financial technology. Who is responsible for customer records? Who owns codes of cost centres? When expenses don't add up, who is responsible? If no one is responsible for anything, no one will fix it since it is always somebody else's job. The decision is not made by software; it is a people decision.
Step 2: Detect errors early in the system
Most ERP and accounting software today can add validation rules, which may include mandatory fields, format verification, or an approval process. A purchase order cannot be generated without a cost centre code. An invoice that must be matched by a purchase order for it to be approved. These rules prevent bad data from getting in. Error prevention is much simpler than detecting errors three weeks later during the close process.
Step 3: Regularly review your data
Conduct a structured review of your important financial data once a quarter to determine if there are missing pieces or inconsistencies between systems and records that do not meet your defined standards. This does not need to be a 7-day project. Regularly scheduled, focused two-day reviews identify issues before they multiply and provide a sense of data quality being a continuous concern.
Step 4: Connect your systems so they share data automatically.
If your payroll platform and your accounting system use different codes for the same departments, fix that alignment once and then integrate the systems, so data flows between them automatically. Yes, this process takes upfront effort. But it permanently eliminates a category of manual reconciliation work that is currently eating hours every month and generating errors.
Step 5: Make data quality a cross-team responsibility
Without the help of your finance team, it is impossible to maintain data quality. Finance is responsible for the consequences when sales has added to the customer record incorrectly. If operations approve an invoice without a purchase order, accounts payable takes in the problem. We need to have consistent standards followed by all individuals touching financial information for it to be clean. That only happens when leadership prioritizes it and makes it visible and shared and not just a finance department concern.
What Changes When Your CFO Has Clean Data
When the data is clean and reliable, the finance function is entirely different.
The 15-day month-end close is now five days. Your CFO is not working the first two weeks of each month on the issue of reconciling numbers. Now, he or she is spending that time figuring out what the numbers mean and what to do about it.
Predictions become more accurate. If your historical data is accurate and consistent, the models for which you can create projections on top of this data are usable. Not projections with a large degree of uncertainty anda long list of caveats.
Leadership decisions become more focused. If the CEO/owner can show up at any meeting with a clear and up-to-date financial situation, the decisions are made with confidence and without hesitation.
Compliance turns into a habit instead of a hassle. A CRA review is a simple process when records are clean and easily accessible. When records are messy, it's an expensive reconstruction project.
Business Benefits
Let'sdiscuss the return on investment in financial data quality for a Canadian mid-sized company:
Reports that you send to the bank or investor are accurate, so you can be confident in them and not worry about the questions they ask.
Rapid resolution cycles that provide leadership with real-time data rather than last month's data.
Reduce compliance expenses, as clean records are easier to audit and take less time to defend.
More accurate forecasting that's based on the actual performance of the business, not on an approximation.
Lower chance of fraud, double payments, and money-loss mistakes that aren't discovered till they are already pricey.
Note: All this is free of a Fortune 500 budget. It needs to be under the right systems, and, if that's the case, the systems need to be properly implemented, and there needs to be clear governance and accountability.
Where Financial Data Management Is Heading
The rapid pace of change in this field has resulted in a great deal more technology to help mid-market businesses today than there was just three years ago.
Automated anomaly detection
Many new platforms have automated anomaly detection built in. You can configure your accounting system to notice that something unusual is going on with a transaction, a duplicate entry, or even a pattern that might mean that something has been inputted incorrectly, without having to manually go through thousands of lines of data. This is particularly important for fraud prevention and for identifying data entry errors prior to affecting a report.
Real-Time Financial Visibility
With real-time financial visibility becoming a reality for enterprise businesses, it is moving closer to becoming a reality for mid-sized businesses. Now, finance teams can access real-time data from across the business without a complex data warehouse system with cloud-based ERP platforms, especially Microsoft Dynamics ERP. It is not always the technology that limits. It's if the data is clean enough that you can use it.
Automated tax and compliance reporting
One of the most time-consuming aspects of the finance calendar is being eliminated with automated tax and compliance reporting. Canadian businesses that are required to make multi-province tax filings are saving time and reducing the risk of error by accessing tools that tap directly into validated financial data and create the appropriate reports.
The companies that reap the greatest benefits of these developments are the ones that have done the essential work such as cleaning up data, establishing clear governance, and leveraging integrated systems. The technology magnifies best data practices. It doesn't repair the bad ones.
How Dynamics Square Canada Helps
If you look at a typical Canadian mid-market business, the overwhelming majority of financial data quality issues stem from a single source: a financial ERP system that was implemented without proper care and consideration for data standards, integration, and governance and has never been improved since.
Dynamics Square Canada works with mid-sized businesses across manufacturing, distribution, professional services, and retail to implement and optimize Microsoft Dynamics 365 Business Central. We focus specifically on businesses with real operational complexity and financial reporting needs that have outgrown basic accounting software.
Our approach is practical, either because we see the data governance as part of the implementation process or because we realize that it is something to do later when it is needed. This means preparing your chart of accounts in the same way that you manage the business. Implementing rules to prevent data errors from happening.
Connecting Dynamics 365 to payroll, CRM, and other business applications so your finance team no longer must reconcile each month.
We also assist businesses in remediation, where issues with data quality have accrued over time, and help to establish the governance and practices necessary to prevent future recurrence.
If more of your financial team is in reconciliation mode than reporting or if your management team is often asking, "What is the real number?” then it's a problem that can be resolved. It begins with knowing what is leaking quality.
Bottom Line
The idea of financial data quality is not so hard. The numbers must be correct, up-to-date, and consistent, and there must be an obvious origin to the numbers.
What makes it challenging is that more businesses have expanded faster than their financial system. They have created tools, recruited people, and inserted manual processes to fill in the gaps. Those gaps evolve over time into the system.
Doing everything in one go is never a must. Begin with the pain point that is causing the most headaches at this moment, any of the following: slow close cycle, lack of reporting from one department to another, and lack of systems communication. Get this one right with governance systems in place to ensure it stays right. Then go on to the next.
In at least one sense, the companies that do this work invariably get something that is truly valuable: a finance function that provides true answers to leadership in real time instead of one that keeps the numbers on track in the best of times. It's a good goal to work towards.
Need to discuss it more with us about what this means for your particular business?
Contact us via call at +1 778 381 5388 or send an email at info@dynamicssquare.ca.
Frequently Asked Questions
Accuracy, Completeness, Consistency, Timeliness, and Governance. These have an impact on different aspects of financial reporting, and when not effective, the others are usually impacted.
Control, compliance, consistency, and clarity. As a combination, they present financial management, which works in practice as well as on paper. financial management,
