Spakman Consultancy is an independent consultancy company by Timme Spakman. His prime focus is to help small and medium business owners by implementing data & data infrastructure solutions, and conducting data driven research.
Timme is an expert in the fields of statistics and economics, and is certified by Microsoft as a Power BI Data Analyst.
Better business decisions by creating insights from data you already own
With an extensive background in statistics, machine learning, and years of work experience in research, Timme helps companies turning data into insights. Depending on the type of project this includes:
● Patching and cleaning of data
● Modelling data such that it yields representative statistics.
● Making the human connections between statistics and the people. This can be by composing a research report and presenting the findings or by setting up dashboard that reports on ongoing basis clear and understandable information.
Dashboarding of accounting and process information in Microsoft Power BI
Accounting software often requires manual exporting of data and generation of reports. This can be a clumsy and time intensive process, especially for businesses running multiple sets of books for different branches. For management decisions it is vital to have an overview of the company’s financials. Timme helps companies to create this overview in one place. He advices and helps developing the IT infrastructure and sets up the data connections between the accounting software (such as SAGE accounting) and Microsoft Power BI.
Advising on data infrastructure and policies
The basis of business intelligence is clean data. Timme can advice on creating the IT infrastructure and the business policies to get to a pool of data that yield insights. This involves:
● Advising on data and IT infrastructure. Advising on the IT infrastructure and the IT processes to facilitate data and data insights.
● Developing a data culture. Advising and helping to setup protocols for clean and consistent data input and storage as well as creating awareness with employees for the importance and advantages of clean data practices.