Data and Reporting in Financial Institutions

Data and reporting in financial institutions: from Excel to daily dashboards

Financial institutions collect large amounts of data, yet many rely on reports prepared by hand in Excel. Here we explain how an institution can build a reliable data foundation and reports that support timely decisions.

Banks and financial institutions 6 min read

By Nour Aldein Tleti. Updated 7 October 2026.

How does a financial institution build a reliable data and reporting system?

The institution starts by naming one approved source for each key figure, such as balances, loans and claims, and setting common definitions for its indicators. Data is then pulled automatically from systems into a reporting database, checked for quality, and shown in daily dashboards for management and ready-made reports for regulators. The result is consistent figures everyone trusts, less time spent compiling and more time spent analysing.

Financial data basics

One source of truth: Each figure has one approved source system, and manually edited Excel copies are not used as a reference.
Common definitions: A clear, written meaning for each indicator, such as “overdue loan” or “active customer”, that everyone uses.
Data quality: Automatic checks for missing fields, duplicates and unreasonable values before data enters reports.
Permissions: Each user sees only what they need, with special protection for customers’ personal data.

Types of reports

Regulatory reports: Periodic reports regulators require in set formats; check their requirements in force and automate their preparation as far as possible.
Management reports: Daily dashboards of balances, liquidity, portfolio quality and claims that help management act early.
Branch and staff reports: Each branch’s and employee’s performance against clear targets, with drill-down to a single transaction.
Risk reports: Concentration of exposure by sector, customer or currency, plus fraud alerts and unusual transactions.

Local challenges in financial reporting

Two currencies and changing rates: Each amount must be stored in its original currency with the exchange rate at the time of the transaction, and reports shown in both currencies or in a clear reference currency.
Scattered systems: Data in an old core system, more in Excel and more in a field app needs connecting before any unified report.
Delayed updates: When connections between branches drop, the report should show the last update time for each source.
The Excel habit: Staff are used to editing spreadsheets themselves, so moving to unified dashboards needs an explanation of the benefits, while keeping export available for further analysis.

Steps to build the reporting system

01
List current reports
Collect every report prepared today, who prepares it, where its data comes from and how long it takes.
02
Standardise definitions
Agree with departments on the definition of each key indicator, and document it in a data dictionary.
03
Automate data extraction
Connect systems to a reporting database that updates automatically instead of manual exports.
04
Build the first dashboards
Start with one dashboard for senior management with the most important indicators, then expand.
05
Review and improve
Review the accuracy of figures with departments monthly, and add reports as actual needs arise.

Manual vs automated reports

Criterion	Manual in Excel	Automated from one source
Time	Long hours compiling and checking	Automatic daily or real-time updates
Consistency	Different figures depending on who prepared the report	One approved figure for everyone
Errors	Copy-paste and formulas that break	Automatic quality checks before display
Audit	Hard to trace where a figure came from	Possible to trace back to the original transaction
Access and protection	Files sent by email or WhatsApp	Dashboards with permissions per user

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Banks and financial institutions

Frequently asked questions

Do we need a huge data warehouse?

Not at the start. An organised reporting database updated automatically from the core systems is enough for many institutions, and it can be expanded later.

How do we present reports when exchange rates change?

Store amounts in their original currency with the historical exchange rate, then show the report in the original currency or a reference currency, stating the rate used and its date.

Can AI be used in financial reporting?

It can be used to detect unusual patterns or summarise reports, but only after reliable data is in place. AI on inaccurate data gives inaccurate results with more confidence.

Who owns the data inside the institution?

Each data set has an owner from the relevant department who is responsible for its accuracy, while the technology team looks after systems and protection.

Does ONE DIGITAL build financial reporting dashboards?

Yes. We build reporting dashboards and data systems with expertise that combines software development with financial and accounting systems.