There are many valid reasons for growing companies to invest in software packages. Sales need a CRM package. Accounting needs an accounting package. Operations need a stocks, jobs or project management system. Support needs a helpdesk package. All these systems can solve specific problems, yet another one arises when these systems fail to communicate with each other.
This is when the consequences of weak integration start adding costs. Not necessarily a complete disaster; work gets done. Orders get processed. Invoices get created. Yet, a lot more time needs to be invested into transferring data, checking spreadsheets, tracking changes and resolving errors that should never happen at all.
It is not just about the money spent on the software. It is also about the wasted time in-between systems, the capital locked due to delayed invoicing, unreliable reporting and customer service problems.
Direct answer: Poor systems integration is where there is insufficient connectivity between the processes, data and software used in business. This results in the following hidden costs: duplication of data input, delays in reporting, missed transitions, lack of visibility regarding clients, late payment, and decision-making based on partial data.
Key Points:
- The bigger the business gets, the higher the cost of its disconnected systems becomes.
- Manually entered data wastes time and leads to errors.
- Information silos lead to poor and delayed reporting.
- Integration should be focused on the processes influencing income, customers, cash flow and reporting.
- Connected data makes automation and AI projects more trustworthy.
What is poor systems integration?
It is an indication that the business does not integrate its software effectively and reliably. Having good pieces of software is not enough for the business, as the whole set-up may still be poor.
For instance, the sales department will put down a new client in the CRM system, but the finance department will still need to enter all the relevant information manually in the accounting system. The e-commerce website will register orders, but the inventory management software will require additional work – such as exporting files before updates. Support services may answer the customer’s not knowing what orders he made, his payment status or if he received his goods.
It is the difference between having the software and having integrated software. Efficient system design and implementation allows for the seamless exchange of information between different stages of work.
Such a situation may begin with a workaround. For instance, a spreadsheet between the two departments may be efficient for ten orders per week. However, it becomes inefficient once the number grows up to hundreds. With the growth of the team, the same solution turns into the daily bottleneck.
Poor integration vs no integration
It is hard to recognise lack of integration. There is absolutely no connection between two systems, so everyone understands that all the data needs to be transferred manually.
Poor integration is difficult to recognise. A connection exists, but it may be ineffective, partial and unreliable. Customers’ names can be synchronised, but payment conditions cannot. Orders can be transferred into the finance system, but returns cannot. Data on a dashboard can be updated daily, but managers need hourly reports.
This can create a false sense of security for the management. They consider a process automated, but their employees have to cover all the gaps.
Why growing businesses are more exposed to integration problems
In small businesses, the human proximity to the task often solves the issue. If there is something that looks wrong, it is reported to finance. If the customer requests some information, sales report it to operations, and if the inventory is getting low, then it is reported by the warehouse to the proper department.
This kind of approach gets increasingly difficult as the business grows, because with more customers comes more paperwork. With more orders comes more handovers. With more employees comes more methods of inputting the same data. With more departments come different applications that are designed according to the needs of each particular department, rather than the entire business.
And that is why daily efficiency can suffer despite the investment in improved software. The software might be advanced, but the handoffs within those processes might still rely on people, Excel sheets, and e-mail.
Even small mistakes get magnified by volume. Missing one charge may not amount to anything. Missing multiple charges results in missed revenue. An overdue invoice can be resolved quickly. Constantly late invoices mean cash flow problems. A confused handoff once in a while can be sorted out via a phone call. But many confused handoffs ruin customer experiences.
What was fine when there were 10 people involved becomes difficult at 50 and fragile at 100, assuming nothing has changed about the process under the hood.
The hidden costs of weak integration
One hidden cost of poor integration does not appear as an individual line item on any financial statement but will manifest itself through wages, inefficiencies, reworking, unbilled hours, dissatisfied customers, and poorly prepared managerial reports.
Lost productivity
The first of these costs is time. Employees enter data into applications, create exports in CSV format, clean up spreadsheets, determine which number is right, and enquire about updates from other departments that should normally be available.
It is difficult to realise how much time is being wasted as it is being done in small chunks. Ten minutes here and twenty minutes there add up to many hours per month. It also takes capable individuals out of doing what they are really good at. Salespeople become data processors. Finance employees spend time reconciling data that should normally reconcile itself.
Finally, manual data entry makes mistakes more likely. Even a careful individual is bound to make mistakes repeating the same process in multiple applications.
Slow reporting and weaker decisions
If the data is in silos, reporting takes longer. While leaders may wish to get an overview of sales, margins, inventory, capacity, and cash, they are found in different applications. By the time the report comes in, it might already be outdated.
The conflicting numbers are yet another challenge that businesses face. The sales team might be working with one forecast while the finance and operations departments work with different ones. This makes meetings all about reconciling spreadsheets rather than moving forward with decisions.
A business may not always need an all-in-one platform, but it definitely needs clarity in data flows, definitions, and single-source numbers.
Revenue leakage and cash flow pressure
There is potential for delayed payment due to poor integration. If there is no proper communication between the job status information and the finance department, the billing process is delayed. If the information about the discount, delivery cost, or any change in the contract is not transferred from the sales department to the accounting department, there will be mistakes in billing. If the additional work that is added in the project management system is not transferred to the billing system, there will not be any payment made for the work done.
Such issues might appear to be small when taken on an individual-order basis, but they become a business issue when multiple orders are considered.
There is no visibility regarding cash flow. If there is no visibility in terms of incomplete jobs, uncharged jobs, poor handovers, or margin issues, then it will be visible only at the end of the month.
Customer service problems
Your customers do not see your systems, but they experience the disconnects. They notice when they have to repeat themselves. They notice that support does not have the information that was promised by sales. They notice vague updates, incorrect invoices, and long response times.
Most of these issues are not a result of negligent employees. This happens because your employees do not have all the information. Good connection of customer data can provide them with all sorts of relevant contexts, such as past purchases, issues in process, payment status, contracts and communications.
Signs your business systems are not working together
If these signs seem like problems in your organisation:
- The staff are duplicating the entry of data.
- Different figures are being used by sales, accounting and operations teams.
- There is heavy reliance on Excel and manual controls.
- Customers chase you for the updates that your team knows.
- Inventory, jobs or projects cannot be trusted.
- Team members ask each other for the data that should be available from the system.
- Invoices are not issued due to lack of data.
- Managers do not have visibility into sales, works in progress, and the bottom line.
- Implementation of new software generates additional administration rather than removing it.
- AI or automation projects are delayed due to bad-quality data.
A couple of these might be fine. If there is a number of them, then you may have grown faster than your systems can handle.
How poor integration affects each department
Department: Where do things often go wrong? Business implications: Lead handoffs are ambiguous, history is not known and forecasting is questionable. Sales spends more time verifying the details and less time selling. Finance invoices are delayed, reconciliation is manual and there’s no good cash flow overview. Payment cycles are longer, and month-end processing is longer. Capacity, stock, order, production job and fulfilment data are incomplete. Order cycle times are increased, duplication occurs and planning is more difficult. CS reps cannot access the complete customer profile. Responses are slower, and customers repeat themselves. Management reporting is delayed, or inconsistent figures are reported. Decisions are made on incomplete or outdated information. The IT team relies on kludges, exporting and ad hoc scripts. Increased support effort and high risks for even minor changes.
That’s why integration is not just an IT challenge.
Why disconnected systems are also an AI-readiness problem
Many expanding firms hope to deploy AI in areas such as reporting, customer service, forecasting or process automation. This makes sense, yet AI applications are no more powerful than the extent to which they can access and analyse relevant data.
In case there are duplicate customer files, incomplete orders or reports are generated on the basis of spreadsheet input, the results of AI analysis will be less trustworthy. It may generate an output, but it will be impossible to know whether this output is based on the right data.
The data used by AI should not necessarily be perfectly correct, but at least it should be clean, available and well-governed. This implies ownership, reduced duplicates, uniform fields and proper data flow between systems.
For many businesses, integration becomes the priority before developing sophisticated AI solutions. Proper AI software development is impossible without correct data foundations.
How to estimate the real cost of poor integration
It is unnecessary to have an elaborate model in order to have a reasonable estimate. You will start by considering manual labour, and then you will sum all other costs that always come after it.
Formula: Hidden work cost per month = manual labour hours x average cost of work hour + cost of mistakes + time delay in revenues + cost of customer service issues
Five workers taking three hours per week copying data entries and verifying reports will take fifteen hours per week or sixty hours per month (assuming no delay in invoices and errors).
It does not have to be accurate – the point is to determine whether the problem is significant enough. The cost of manual work in many growing companies is much higher than management thinks because it is distributed among a few departments.
Another good step would be to track down three factors for two weeks – duplicated data entry, review of reports and delays due to lack of data. It usually indicates a starting point for an integration project.
What systems should a growing business integrate first?
Sometimes the answer is not always the most recent innovation. Begin with the systems that have an impact on finance, customers, and operations.
CRM and Finance System Integration
This will allow for more accurate billing and invoices to be created from sales data. CRM will also minimise the chances that finance uses out-of-date and incomplete information.
E-commerce Platform and Inventory Management
Keeping your stock and orders up-to-date with the truth. It is critical when your customers demand rapid updates.
Accounting and Invoicing
Integration of accounting systems can minimise the problem of delayed invoices and charges.
Customer Service and CRM
Customer support staff require access to order history, account information, and previous customer communication. It will help improve response times and minimise repeat questions.
Project Management and Time Tracking
It will allow service-based businesses to get insight into their workload, billable hours, project progress, and margins.
Warehousing, Stock, or Fulfilment Systems
Integration here helps avoid duplicate efforts and provides a better understanding of what promises you can make to your clients.
Reporting Dashboards and Core Databases
Reporting should be based on trusted data, rather than pulled from multiple manually edited spreadsheets.
If the existing tools do not provide the desired workflow capabilities, custom software development would be a more sensible option than trying to work around poorly suited software solutions.
A simple integration roadmap for growing businesses
Good integration need not begin with some massive project. A roadmap that steadily proceeds in a definite direction is often more effective.
Step 1: Map your current systems
List all the applications employed in the enterprise. State who manages them, what information they hold, where the information goes from there, and where spreadsheets and emails are used in the process.
The point of the exercise is not to draw a picture that leaves nothing to be desired. The point of the exercise is to identify bottlenecks in the information flow.
Step 2: Find the highest-cost bottlenecks
Be on the lookout for delay, redundancy, omissions, mistakes, and customer frustration. Zero in on the pain points that cause problems in terms of cash flow, customer interaction or employee efficiency.
A small adjustment in the correct location is worth more than a big project in the wrong location.
Step 3: Clean the most important data
Gather your customer, product, sales order, financial and staff information. Resolve any duplication, set guidelines for naming conventions and determine the single source of truth for each piece of information.
Linking together dirty data will only spread the dirt faster. Cleanse the important fields before you connect.
Step 4: Choose the right integration method
Some systems offer their own native integration functionality, while others require an API, middleware, an iPaaS platform or custom integration. Which is the best solution depends on volume, risk, cost and control.
Do not make your decision based solely on the speed at which something can be accomplished. Make your choice based on scalability.
Step 5: Automate one workflow at a time
Take one workflow first, for example, a sales order to invoice, an e-commerce order to inventory update, or a support ticket to a customer record.
See what impact it had. Was there less manual intervention required? Was there an improvement in accuracy? Was there a time saving? And then take on the next workflow.
Step 6: Set ownership and control
Figure out where responsibility lies for data quality, access, change management, field definitions, and reporting requirements. This doesn’t have to be burdensome. All it will do is stop the system from turning into a mess post-launch.
A good digital transformation strategy can guide the organisation through its systems integration in the correct order rather than ad hoc.
Common mistakes to avoid
The first error is that of integrating everything for no good business reasons; it must aid in generating money, managing cash flow, enhancing customer service, or controlling risks.
The second error is automating an inefficient process. An unclear handover process will be even worse once automated.
Another common error is not taking care of data quality; duplicates, incomplete information, and inconsistently named data items will plague the enterprise in every system it uses.
Other errors involve picking the software without looking at its capability for integration; excluding finance or operations from the planning process; using Excel as the bridge tool between systems; and neglecting to do end-to-end testing.
A legacy system may still be a useful part of a solution, but it is so only if the enterprise is aware of the limitations of the legacy system and integrates it correctly.
When should you bring in a systems integration partner?
External assistance will be helpful if there is a lack of progress due to manual efforts, if multiple applications require integration, if reports cannot be trusted or if the internal staff lacks either time or expertise to solve the problem.
The competent assistance must go beyond discussion of software issues. The vendor should be able to understand sales, financial, operational, customer service and managerial processes. The vendor should be capable of workflow mapping, data cleansing, method selection, testing and adoption of an effective configuration.
Such assistance is especially needed if the customer experience, cash flow, regulations or auditing are negatively impacted. By then, the problem becomes a business controls issue.
Conclusion
Poor system integration typically begins as a minor nuisance: a duplicated field, a late report, a verification process, or a client update that is followed up via email. When the company grows, all these irritations begin to cost money.
However, the solution is not necessarily to change everything. First of all, one needs to map out the systems, determine where the high costs lie, cleanse the crucial data, and integrate the critical workflows.
Integrated business systems simplify the process of scaling up the business. They cut down on paperwork, improve reporting, secure cash flows, and provide employees with the necessary information to service the clients.
Frequently Asked Questions
It happens if business software, data and processes fail to interact with one another correctly. People can still use good software, but their information flow becomes problematic, resulting in manual operations, redundant data entry, delayed reports and ineffective data handoff.
Hidden costs appear in the form of wasted employee time, redundant data entry, delayed invoicing, missed billing, erroneous reporting, customer service delays and greater operational risks. They are usually distributed among various departments; that is why they tend to remain unnoticed.
Information silos hinder a company’s expansion as teams operate based on incomplete or inconsistent information. When the volume of orders and personnel starts growing, the inefficiencies that emerge become a bottleneck for further development.
Discover duplicate entries and clean them up. Then choose the system responsible for every piece of data and automate information exchange between the most valuable workflows, such as CRM to finance and e-commerce to inventory integration.
No. SMEs usually need this sooner than they realise since smaller teams cannot afford the luxury of doing redundant work. An actionable plan can help start integrating the critical workflows and scale accordingly.
Prioritise those that impact your income, cash flow, customers, and reporting. Frequently chosen options include CRM and finance, e-commerce and inventory, accounting and invoicing, and customer service and CRM, as well as project management and time tracking.
Integrations will make sure that data fed into your AI applications is better, fuller, and more accurate. The duplication of records, isolated data, and outdated information complicate the use of AI tools.
