Why is business intelligence so interesting?

Financial institutions face challenges in managing large amounts of data from multiple sources, which can negatively impact business intelligence (BI) management and decision-making. ADC’s experienced team offers comprehensive solutions that assess and uncover data quality issues, tailored to your specific needs. Our customised and automated data quality controls ensure accuracy, completeness, availability, and consistency of data, improving your organisation’s BI in finance.

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Financial Business Intelligence and the problems we often see

Business Intelligence (BI) has become an integral part of the financial sector, as it enables financial institutions to leverage data and make informed decisions. BI in finance involves the use of data analysis tools and techniques to gather, store, and analyse data from various sources. This data is then transformed into useful insights that can be used to improve business performance, risk management, and compliance.

Three biggest problems for financial institutions

There are some issues that might pop up regarding business intelligence:

First, financial institutions face the challenge of maintaining data quality and accuracy as they manage large volumes of data from various sources, including internal and external sources. Data silos, inconsistent data definitions, missing data, and inaccurate data entries are all common issues that occur. These can compromise the quality of the data and negatively impact business performance and decision-making.

Second, inconsistent data definitions and inaccurate data entries can cause issues in data analysis and reporting. Poor data representation can lead to ineffective data analysis and unreliable reporting, as well as incorrect predictions made by the models. This can result in financial losses for the institution.

Third, financial institutions must ensure that their business intelligence solutions are user-friendly and easily accessible to all stakeholders, including both analysts and executives. This ensures that they can effectively support decision-making. Failure to provide intuitive and understandable solutions can lead to confusion and errors in decision-making, resulting in financial losses and missed opportunities for growth and development.


What ADC can do for financial institutions

For the above reasons, it is very important that business intelligence solutions are done correctly by people with knowledge in combining data sources and implementing data quality controls.

At Amsterdam Data Collective we have broad and in-depth experience in improving data quality and performing data analysis, and we’re experienced in creating solutions that are understandable to all stakeholders.

ADC Nordic Expansion - DAMVAD Analytics and Mentha

Improve operational efficiency

Implementing better data quality controls is essential for improving financial business intelligence and operational efficiency. We will work with your team to assess your existing data sources and identify areas for improvement. By improving the quality of your data, you can streamline your operations, reduce errors and redundancies, and optimise resource allocation.

Furthermore, our customised solutions for automating data processes reduce the time required for manual data management tasks. This allows teams to focus on high-value tasks, resulting in better resource allocation and increased productivity.


Implement data-driven decision making

By leveraging data to drive decision-making, financial institutions can gain a competitive advantage and improve their bottom line. We can help your organisation in making data-driven decisions by identifying and prioritising key metrics and KPIs, as well as developing and implementing automated reporting and dashboarding solutions. This will enable your organisation to make more informed decisions based on real-time, reliable data to quickly identify and respond to changing market trends and customer preferences.


Increase the accuracy of risk management and reporting

Financial institutions can increase the accuracy of their risk management and reporting by ensuring the quality of their data. We will work with your team to identify and assess key risk areas, and to implement automated data quality controls to mitigate risks. This includes validating data accuracy and consistency across multiple sources, as well as ensuring data lineage and auditability. By improving the quality of your data, you can ensure regulatory compliance, reduce exposure to risk, and improve the accuracy and timeliness of your reporting.

Analyse and process multiple data sources

It is necessary to incorporate all available data sources to leverage the full potential of your data and obtain a holistic view of your financial institution’s performance. We are experienced in integrating different data sets and transforming them into actionable insights through automated data processing and integration solutions. By improving the quality of your data, you can identify areas for improvement and optimise processes.

Uncover data quality issues

We understand the challenges that financial institutions face in managing large amounts of data from various sources. Our expertise in employing finance and data management dashboards enables us to assist our clients in uncovering data quality issues using advanced tools such as Power BI project management dashboards.

We work closely with your team to identify and address data silos, inconsistent data definitions, missing data, and inaccurate data entries. Our tailored solutions, including automated data quality controls, ensure the accuracy, completeness, availability, and consistency of your data while adhering to your specific needs. Our solutions are also scalable and flexible, enabling us to accommodate your evolving business requirements.


Would you like to know more about business intelligence in finance?

Take a look at our blog “Developing a Roadmap to Digitise a Business” or “Round Table: Creating Value with Data Science in the Financial Sector”.


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