• by Admin

From Insight to Action: Connecting Data and Automation

In many companies, data has become an important asset. Reports are available, routine analyses are conducted, and various business indicators can be monitored at any time. However, in day-to-day operations, the challenge that often arises is not a lack of data, but rather how the results of these analyses are actually translated into quick and consistent action.

Often, the gap between insight and execution still depends on manual processes, cross-team coordination, and decisions that must go through many stages. This situation causes opportunities to be missed and responses to risks being less than optimal.

When Analysis and Operations Run Separately?

In practice, analytical and operational systems often run on separate tracks. Data teams generate insights, while operational teams must follow up on them separately. This process is time-consuming and prone to inconsistencies, especially as data volumes and business complexity continue to increase.

A more integrated approach is needed so that insights don't stop at the dashboard screen but become part of everyday business workflows.

Snowflake as the Foundation of Data Intelligence

Snowflake acts as a data management and analysis hub that enables organizations to combine various sources of information in a single environment. Through flexible analytics and data processing capabilities, companies can gain a more comprehensive understanding of business conditions based on the latest data.

With this strong data foundation, companies have a reliable basis for decision making. However, the true business value is realized when this understanding can be immediately acted upon.

UiPath and the Agentic Automation Approach

UiPath introduces the concept of agentic automation, an automation approach designed to work more adaptively to context. Automation no longer just executes static steps but is able to adjust actions based on conditions and analysis results received.

Through integration with Snowflake, data analysis results can be directly utilized by UiPath automation to execute business processes comprehensively. From triggering specific workflows, updating other systems, to performing escalations or notifications, the entire sequence can run without relying on manual processes.

This approach helps organizations reduce the waiting time between analysis and execution, while improving consistency in executing business policies and decisions.

Overview of Operational Implementation

In operational or financial scenarios, data that indicates potential risks or opportunities can be processed in advance in the data platform. When certain conditions are met, automation can immediately take over to carry out further steps, such as updating data in related systems, sending notifications to relevant work units, or initiating follow-up processes in accordance with company policy.

With this workflow, organizations no longer need to rely on manual processes to ensure that insights are followed up on in a timely manner.

An approach that connects data and automation has a tangible impact on companies, including:

• Decision-making and implementation processes become faster.

• Manual workloads can be significantly reduced.

• Business process implementation becomes more consistent.

• Teams can focus more on strategic activities.

This approach is relevant for organizations that want to improve the speed and accuracy of execution without having to replace existing systems.

Conclusion

Having good data and insights is the first step, but competitive advantage comes when companies are able to act quickly on that information. By connecting data intelligence and automation through the right approach, organizations can ensure that every insight has a clear path to execution.

Supported by Perkom's implementation experience, companies can build business processes that are more responsive, efficient, and ready to face future business dynamics.

Author: Ghea Devita 

Marketing Communication, PT Perkom Indah Murni