Data is invaluable to an organization, but it can also represent a major stumbling block if an enterprise hasn’t optimized how data is used to support processes that run operations. Process mining can play a role in helping organizations get an objective and detailed view of process flows – including fixing bottlenecks and delays that cost time and money. Let’s examine the importance of process mining, and how this activity can be aided by the right underlying data layer to support the level of granular and iterative analysis that process mining requires.
Why Process Mining Is Needed
Every business process consists of a netherlands whatsapp number data series of steps and tasks that need to be carried out – either by humans or technology – in order to deliver a desired outcome. While simple processes like receiving
and reconciling payments for goods sold are fairly straightforward, organizations can struggle with the more complex processes that define most enterprise operations today. This might include conducting complex portfolio analysis, transaction monitoring at a global bank, or managing a multi-tier supply chain to support a manufacturing operation.
Gaining insight can be difficult under these conditions, requiring a patchwork of perspectives from multiple individuals and piecing together data insights across multiple IT systems. Unfortunately, this process discovery is a process in and of itself that has traditionally broken down amid the size and complexity of most enterprise operations. Many companies continue to struggle with an overreliance on manual analysis that can be time-consuming and error-prone – especially when it’s happening at scale in the production environment.