Advanced Business Intelligence (BI) empowers modern organisations to streamline operations at every level of internal and external processes, for enhanced productivity, compliance and risk management. But what are some of the real-world benefits that BI facilitates for growth opportunities within a given sector? There are numerous advantages that any business can enjoy, from increased security through fraud detection to improving ESG performance.
Regulatory Process Automation
Process mining and compliance data can help enhance and map internal workflows at modern companies. This can also help identify regulatory processes such as approval submissions and mandatory reporting such as taxes. Outsourcing these to automated or professional services such as online MTD experts in the UK can help modern organisations significantly enhance and streamline operations for reduced friction, especially when deadlines and due dates are near.
Fraud and Anomaly Detection
Fraud is at an all-time high and shows no signs of slowing down. Cybersecurity isn’t enough, and modern businesses are using a combination of methods to improve BI and leverage the data for increased fraud security and anomaly detection. For example, your business can detect unusual patterns that could potentially be fraud by analysing transactions, access logs and audit trails. Alongside machine learning and AI tools, businesses can catch fraud in real time.
Supply Chain Advanced Business Intelligence
Most companies rarely manage a supply chain project as part of standard internal operations. However, a supply chain audit and test could improve performance significantly, especially when it comes to suppliers and vendors. This makes up a large part of the business intelligence (BI) modern organisations need to make dynamic and static decisions for moving forward. A good example is tracking supplier compliance (delivery, safety, defects) for improved risk scoring.
ESG Performance and Analytics
Environmental, social and governance (ESG) scoring is a somewhat controversial scheme that companies (especially in Europe) follow to hit arbitrary regulatory targets that could potentially result in more favourable loan terms and open gates. As such, many use BI to actively track and measure ESG scoring as it pertains to emissions, workforce diversity and compliance. With incoming and historical BI, companies can amend policies to ensure they hit ESG targets.
Workforce Management and Policy Enforcement
Further to policies, BI is an excellent tool for measuring how well policies are being enforced, and making changes based on the available data. This can help spot systemic issues at your organisation and, with AI and other data tools, can also help you make decisions to combat any issues. This ties into workforce management that might be overstepping, such as illegal overworking, which HR departments can use to identify repeat offenders and take action.
Summary
Meeting regulatory process compliance, such as tax reporting, is one way that advanced business intelligence can be extracted based on compliance data. Of course, any data extracted for use as BI can be used to analyse specific processes for supply chain improvement, including assessing vendors. However, one of the most useful ways to extract BI for streamlined processes is through compiling and analysing workforce management and policy enforcement.
