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Process
Analytics

What are Process Analytics?

Process analytics involve the systematic examination of operational workflows and activities within an organization to derive meaningful insights and improve performance. In the realm of KPI dashboards, we specialize in creating data-driven visualizations that enable companies to measure and monitor their operational processes effectively.

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Why are they important?

Process analytics hold immense importance as they empower organizations to make informed decisions based on real-time data. By tracking and analyzing KPIs, companies gain a deep understanding of process bottlenecks, trends, and areas of improvement. This not only streamlines decision-making but also fosters continuous optimization. 

KPI Dashboards

Our approach involves creating meaningful operational/organizational process KPIs and developing engaging dashboards using advanced tools like Tableau and Power BI. We initiate by understanding your objectives and selecting crucial processes to focus on. We carefully curate key metrics that align with your goals, ensuring they are measurable and relevant. Drawing data from various sources, we design visually appealing dashboards that offer insights at a glance. Our dashboards feature interactive elements that allow you to customize your view, and we ensure a thorough testing process before introducing the dashboards to your team. With a commitment to continuous improvement, we monitor KPIs and dashboards to ensure they adapt to changing business landscapes and provide actionable insights.

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Case study - KPI Dashboard

Image by Ivan Shimko

Overview 

A North American aviation company was looking to improve their overall reporting within their project management office. The specific interest was in the reporting of project status and the impact on the capital plan. Stymiest supported in the integration of the PPM with Power BI to automate the reporting process.

Stymiest and Associates created well-integrated dashboards by:

Impacts

Data-driven decision making 

Performance monitoring and accountability

Efficient communication and alignment

Conducted interviews with PPM experts

Successfully linked their PPM with power BI

Created visual output on power BI

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