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November 30, 2025
July 18, 2025

The digital transformation in business: joining us to stay at the forefront

The digital transformation in business: joining us to stay at the forefront Why and how small companies should respond to...

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Data leads to opportunities and challenges

There is no shortage of data these days. In fact, there is plenty of them. This is incredibly interesting for companies in the financial services industry, among others, because there is a lot of information to get out of it. This way, it can help you make better informed decisions, increase your efficiency and ultimately achieve greater success. However, managing all this data can also present some challenges. That is why, in this blog, we provide you with a number of tips and tools that can help your company to manage your financial efficiently.

Tips for streamlining your financial data management process

Challenge 1: Data silos

When financial data is stored in different systems or departments, we call this data silos. When you, as a company, face data silos, this can lead to inefficiencies and errors in the financial management process. This is because when financial data is stored in different systems or departments, it can be difficult to share data with each other or to combine it into a “single source of truth”. This can lead to a lack of insight into the company's financial performance, which is unfavorable for decision-making.

Tip: An integrated financial management system

One way to reduce these data silos is to use a fully integrated system. By storing financial data in one central location, it is easier for you as a company to access and share this data between different departments and systems.

Tip: Consolidating data sources

Consolidating data sources is a good way to centralize data and reduce it to a “single source of truth”. This aims to provide an integrated overview of all relevant data so that it can then be analyzed and reported in a streamlined and efficient way. In the context of financial data, consolidation can also involve aggregating financial information from different business entities, subsidiaries, or divisions to create consolidated financial statements for a parent company. By also making this process automated, resources and time are saved and unnecessary errors are prevented.

Challenge 2: Data Duplication

Data duplication is another challenge you can face as a company when data is stored in different places such as spreadsheets, databases, and other systems. Because there is no central source of truth, this can lead to confusion and inconsistencies in financial data.

Tip: Use an application that validates data

Duplication of data can be avoided by using an application that validates the data before it is stored. For example, this application looks at whether the same data has already been entered and, in that case, warns employees.

Challenge 3: Data Inaccuracies

Another thing that financial agencies and departments regularly encounter is inaccuracies in data. This can lead to errors in reports and analyses, which can ultimately result in incorrect decisions. For example, inaccuracies can negatively affect a company's strategic choices and financial performance.

Tip: Use analysis software

That is why it is extremely important to avoid these inaccuracies as much as possible. This can be done in various ways. First of all, as described earlier, automating data entry is a good way to ensure that nothing goes wrong in this step. But also, using analysis software is a good way to identify and correct inaccuracies in financial data. This is because this software can compare data and thus identify errors that would otherwise have gone unnoticed.

Tools and Technologies

Fortunately, there are a lot of tools and technologies you can use to streamline your financial data as a company. We have listed a few of them for you:

1. Cloud-based accounting software

The first tool that can help you manage financial data from a central, online location is cloud-based accounting software. This way, it is no longer necessary to merge data from different places, so you can avoid errors caused by inaccuracies. In addition, these types of solutions often also offer useful features such as billing automation and payment processing. Examples of cloud-based accounting software include Microsoft dynamics, SAP, and Visma.

2. Data Visualization Tools

Another useful financial management technology is data visualization tools. These tools help provide insight into large amounts of financial data by converting it into graphs, charts, and other visual displays. This helps you as a company to quickly identify trends, patterns and anomalies, making it easier to make important business decisions. Some popular data visualization tools include Tableau, Microsoft Power BI, and QlikView.

3. Financial Analysis Platforms

If you want to further develop as a company in the field of financial analysis and risk management, there are numerous platforms available that specialize in this area. These solutions offer advanced features such as budgeting, forecasting, scenario planning, and risk analysis. By using these technologies, you as a company can quickly and accurately evaluate trends, future performance and potential risks, enabling you to make strategic decisions based on facts and figures. Examples of popular financial analysis platforms include Planful and IBM Cognos.

Opportunities for your company

In short, streamlining financial data and processes offers your company a lot of opportunities and a stable basis for growing to the next level. With the help of the right tools and strategic considerations, this can be achieved properly.

Do you want to know more about streamlining financial data or are you curious about what this could mean for your company? Schedule an appointment with one of our consultants, they will be happy to think along with you.Related Articles

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How does a data platform help solve financial data silos?

Without a data platform, financial data is often distributed in ERP systems, spreadsheets, accounting software and BI tools. This leads to data silos, inconsistencies and error-prone reports.
A data platform brings all financial data together in one central, validated data layer. This creates a single source of truth for:

  • reports & dashboards
  • budgeting & forecasting
  • AI applications such as document processing or anomaly detection

The result: faster insight, better decision making and less manual work.

How can AI agents help with financial data management?

AI agents take over repetitive, error-prone tasks such as:

  • read and validate invoices
  • check data for duplicates or anomalies
  • prepare financial reports
  • match documents with contracts or orders

They work on your data platform, so they always use up to date, clean data. This makes financial management faster, more consistent and less dependent on manual controls.

What if our financial data is inaccurate or incomplete?

Many financial departments struggle with erroneous or duplicate data from different systems.
A data platform works with built-in data quality rules and can be expanded with a Data Quality AI Agent those:

  • detects inconsistencies
  • signals missing values
  • recognizes duplicates
  • proposes corrections

This makes data reliable before it ends up in dashboards or analyses.

Where do you start when you want to improve financial reporting?

Reporting issues are rarely caused by the BI dashboard itself, but due to underlying chaos in data and systems.
So start with:

  1. Workflow analysis — how does financial data really flow through the organization?
  2. Application mapping — which systems provide which data, and where are the gaps?
  3. Data platform — bring everything together in one integrated layer
  4. BI dashboards — real-time insight into KPIs such as cash flow, margins, DSO, budget vs. actuals
  5. AI automation — automate repetitive tasks with AI agents

This is how you work from foundation → insight → automation.

Do we still need accounting software if we have a data platform?

Yes — a data platform does not replace your accounting system.
But it unlocks, enriches and connects the data from your accounting software with other sources, such as:

  • HRM
  • CRM
  • ERP
  • production/projects
  • Excel and CSV files

This way, you get full financial control, not just administration.

The data platform also makes it possible to:

  • to carry out automated consolidations
  • to do scenario analyses
  • How to use AI tools securely and scalably
  • providing real-time insight to finance and management

In short: your accounting software will be part of a much stronger whole.

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