Why centralize a company's data?

Efficiency question :

To address the question “Why centralize a company's data”, start by defining the desired outcome and understanding the current process. The best solution is not necessarily the one that uses the most technology; it is the one that reduces manual handling, clarifies responsibilities and produces a reliable result with the least possible friction.

An effective approach is to:

• Define the results, calculations and periods that must be produced.
• Identify the official sources and calculation rules used by the organization.
• Standardize the data and steps before trying to automate them.
• Automate repetitive operations first and retain validation controls.
• Document the rules and plan a review when the financial process changes.

Key issues:

The goal is to produce financial information faster without sacrificing reliability. When calculations depend on multiple files, manual manipulations and validations, delays increase and so does the risk of error. Traceability of the rules remains essential.

Challenges:

Implicit calculation rules, exceptions, incomplete data and parallel files often make the project more complex than it appears. Control points must also be retained so automation does not hide an anomaly.

Technology:

Depending on the context, tools to consider may include Excel, Power Query, Power Pivot, Power BI and, when required, connections to the accounting system or ERP. The choice depends on factors such as data volume, number of users, access rights, update frequency, existing systems and the desired level of automation. Technology should be selected after the process and expected results have been clarified, not the other way around.

Developer's advice:

Before automating a calculation, write the rule in plain language and have it validated by the person responsible. If two people interpret the rule differently, automation will only accelerate the disagreement.