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Data & Analytics represents a range of tools to help you structure and analyse different business data to help make informed and fact-based decisions. 

The purpose is to better identify trends and patterns in facts and data to support better decision-making and valuable initiatives across the enterprise.

All companies leverage reporting across their organisation: e.g. reporting across financial and sales performance, customer profitability, inventory, staff, projects, or business operations. Modern analytics tools make it easy to find, structure, and share insight across the organisation in real-time, supporting better decision-making for everyone. 

It takes a little to get it right. Our recommendation is that you need the right architecture, an understanding of your raw data and business applications, and insights into the company’s processes and needs to be able to put perspective on data.

With this information, you are to reflect upon how data can help the company’s employees to make better decisions and improve processes. It might make sense to put people with relevant skills together – there is rarely one person within the business who knows the answer to everything.

First, you need to know the company’s needs for reporting and analysis. Ask yourself, where deeper data insights might support better decisions and improved processes.

Next comes the data perspective. What should your architecture be like, what technology should you choose, and how should data be structured so that it supports the business’ needs?

To be successful, your data and insights must reach your users. Which tools can best support those needs?

When you have full control over your data and tools targeted at the users’ needs, you must make the solutions anchored in the organisation. This is where change happens and value is achieved. 

The most recognized tools in the market are Microsoft Power BI, Tableau, and Qlik Sense, all supported by countless user reviews and professional research firms.

Solitwork has a long-standing relationship with Microsoft. Leveraging the Microsoft BI stack which has been considered the leading technology choice in the analytics world for years. With Microsoft’s cloud Azure, SQL, Power BI, and Power Platform capabilities easily integrated, you have almost unlimited options supporting your analytics platform.

Many companies rely on spreadsheets to provide data for reporting and analysis. Whilst you can create beautiful reports and data visualisations in Excel, it’s not recommended as an enterprise analytics tool due to poor security, lack of ability to handle large volumes of data, development speed, and robustness in formulas.  

ESG stands for Environmental Social Governance. Today, all companies are met with increased regulatory requirements to report on ESG and to commit to actions that will reduce their climate related impact.

ESG is about being a good corporate citizen and about doing what is right from a long-term perspective. We can and must all contribute – whether we are individuals, companies, or public authorities.

AFC ESG is a platform to collect, structure, and report ESG data. The platform secures that ESG data is treated with same quality and care as financial data.

Data can be collected with high frequency up to real time. The platform allows for internal management reporting and continuous monitoring as well as the possibility to drill-down in underlying data.

Calculation of CO2 and ESG KPIs is an integral part of the platform.

Yes – it is an integral part of AFC ESG to calculate CO2 according to the principles of GHG Protocol.

Yes. Solitwork has developed an ESG solution.

We offer a practical and digitalized solution to collect and report your ESG data. Our module provides you with a unique opportunity to collect, measure, create a digital audit trail, and analyse ESG data.

AFC ESG can be implemented in 2-3 months, depending on the availability of data and resources, as well as the complexity of the organisation.

Financial Planning and Analysis covers the process of planning, forecasting, budgeting, and analysis, to support companies’ business decisions and overall financial health.

Planning tools help finance professionals combine and structure their financial data, operational data, and external data, to run analysis faster and more efficiently than with spreadsheets. The result is fast and accurate business insights and predictions to support better decisions.

Financial planning is about predicting future development and outcome across your business. Using advanced machine learning can help you automate your collection process and ensure you have detailed and precise predictions on e.g. sales, margin contribution, or stock.

Instead of a traditional budget, a rolling forecast is a continuous process where you always look e.g. 12 months ahead and continuously get up–to–date insights from your business.

Predictive machine learning can help automating your forecasting process, making time-consuming data collection obsolete, and at the same time enrich data with more detail and accuracy. Instead of an overall revenue forecast, machine learning can leverage historical data, trends and patterns to deliver forecasts.

Financial consolidation is the process of combining financial data from several business entities and rolling it up to a parent company to provide group financial statements and reporting.

The implementation varies from solution to solution and largely depends on the company’s requirements and complexity. At Solitwork, solutions are implemented over 6-8 weeks with few intense workshops. In this way, it can easily be implemented in parallel with other tasks in the finance team.

Collecting and aligning data across different entities is hard and time-consuming. Taking into account elements with capital shares, exchange rates, depreciation on goodwill, and investments or tax is necessary to provide financial statements.