Data & Analytics

Turn Financial Data into Strategic Decisions

At a time when finance departments must meet ever-increasing demands, an ERP system that offers both technological and financial expertise is essential. Microsoft Dynamics 365 Business Central offers exactly this solution – and Finclair is your trusted partner for a successful implementation.

Our expertise covers the following business intelligence applications:

Financial Analytics

Why financial analytics is indispensable for finance departments

Financial analytics in modern companies

Financial analytics uses advanced data analysis techniques to evaluate and predict a company’s financial performance. It plays a crucial role in the modern financial world as it enables companies to make data-driven decisions that increase their profitability and efficiency. The growing complexity of financial markets and the increasing amount of data available make financial analytics an indispensable tool for CFOs and financial analysts.

The advantages of using financial analytics

The use of financial analytics offers you numerous decisive competitive advantages. Accurate and timely insights into your financial data can improve your decision-making. Companies can identify trends and patterns that would otherwise go unnoticed and act accordingly to optimize their performance. Other benefits include improved forecasting accuracy, more efficient use of resources and the ability to better manage risk.

Integration of Financial Analytics with Microsoft Business Central

Microsoft Dynamics 365 Business Central offers seamless integration with modern financial analytics tools. This integration enables companies to analyze financial data in real time and create detailed reports. Combining the powerful ERP capabilities of Business Central with advanced analytics tools provides companies with a comprehensive financial management solution. Finclair can help you implement this integration smoothly and ensure that you can realize the full potential of your financial data.

Implement

How to successfully implement financial analytics

Financial Analytics is the ideal solution for modern finance departments looking for a flexible, scalable and integrated ERP solution. With Finclair’s expertise on your side, you can be sure that the implementation will be successful and efficient. Contact us today to find out more about how we can transform your finance department.

Important steps for implementation

The implementation of financial analytics requires careful and well thought-out planning and execution. Key steps include needs analysis, selection of appropriate analytics tools, integration with existing systems, data migration and staff training. Each phase will be carefully monitored and adjusted to ensure that the system meets the company’s specific requirements.

Best practices for financial analytics

There are some tried and tested methods for the successful implementation of financial analytics. It is important to define clear goals and KPIs to measure the success of the analytics tools. Thorough training of your employees will ensure that they can use the new systems effectively. Regular reviews and adjustments help to optimize performance and ensure that the system meets the changing needs of the business.

Finclair’s support with the implementation

Finclair offers comprehensive support in the implementation of financial analytics. With over 20 years of experience in financial and IT consulting, Finclair develops customized solutions that meet the specific needs of each company. From planning to implementation and ongoing support, Finclair ensures that companies get the most out of their financial data. Successful projects and positive customer references underline Finclair’s expertise and reliability.

Phase overview

From data strategy to data-driven decision-making.

Service portfolio

Our service portfolio includes:

Analysis of your data architecture, data strategy and key metrics
Centralisation of your reporting from different data sources in the cloud/reporting platform
Creation of transparent, highly automated reports and dashboards (sales – revenue, P&L, cash flow, budget, forecast, OpEx, etc.)
Definition and specification of data governance
Automated business reports generated from company data in PowerPoint, Word, Excel format
Data quality for checks & audits, compliance