For years, Coney has been looking for a new balance in speed, accountability and transparency. Monitoring strategic objectives, critical business processes and transaction flows is an increasingly ‘ongoing’ process.
In order to be able to switch quickly in the business assurance domain, a rhythm must be created between the execution of the process, the internal control tasks and the audit work.
That rhythm has been found in ‘Happy Land’ and a data-driven control framework is used. Happy Land is not a service, but our mindset.
We call the setting in which Ongoing Monitoring meets Ongoing Auditing applies: “Happy Land”. That is what drives us as Coney Minds.
In 'Happy Land' the fast switching rhythm has been found and a data-driven management framework is used. Happy Land is not a service, but our mindset.- Pieter de Kok
Stakeholders need certainty. While this was initially focused on certainty regarding financial performance, the need is now growing for accountability for matters such as the robustness of business processes, innovative strength, risk management, sustainability and transparency within a company.
In the professional field, we see an increasingly better balance in the cooperation between the different stakeholders in the “Happy Land domain”, which can be explained by the implementation of an integrated data foundation under the business assurance issue.
In our vision of the future, we no longer generate and check information periodically or ad hoc, but make information continuously and tailor-made available to all stakeholders. To achieve this, we integrate internal and external data.
We believe that in today’s society the concept of certainty no longer only means that the information is correct, it is at least equally about whether the information that is offered is relevant. We have an understanding of modern criteria to provide certainty, but we prefer to let stakeholders have their say when determining those criteria.
After five years it was time again, an updated Top 25 Data Analytics overview of Analytics used in the audit. No #ChatGPT examples or other trendy AI features yet, but old school data analysis and process mining examples straight from our audit practice, immediately adding value to your audit programDOWNLOAD
We would like to meet the audit team to talk about how we can support? We periodically supervise internal audit and audit teams of colleague offices. Beforehand, we discuss areas for attention and the use of technology and reporting methods.
In the field, we make agreements about data access, data validation and collaboration with IT departments to obtain data. During the audits we work together, drawing up and carrying out the analyzes for the audit team according to the plan. It is an interaction aimed at sharing knowledge.
The data analysts report findings in pre-coordinated format and templates. The conclusions have already been discussed and validated with the audit team prior to the reports, where relevant in collaboration with the client.
By using data analysis with visualization, we give you focus and clear insights.
Entrepreneurs have various relevant business issues. We help entrepreneurs to gain insight into these issues through the use of data analysis technology.
In recent years, much has been written about discriminatory, incorrect or unfair data analysis solutions and the use of algorithms.There is social unrest and there are concerns about how data results in decisions.
Continuous insight into performance, risks and business processes, so that deviations can be immediately observed, that is Ongoing Monitoring of Coney.