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About process.science

Process.science is a process management software from process.science that provides tools for analyzing and improving workflows. It includes process modeling, performance monitoring, and reporting mechanisms so users can identify areas for improvement. This platform facilitates collaboration among team members and supports data-driven decision-making. Users can access analytics to understand process efficiencies and bottlenecks better. Key capabilities: process modeling performance monitoring reporting tools collaboration features data analytics Best for: organizations that need to analyze and improve their operational workflows.

process.science Details

Vendor
process.science
Year Launched
2019
Location
process.science GmbH & Co. KG Finkenau 1 22081 Hamburg Germany
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English, Deutsch, French, Espanol, German, Italian, Portuguese.
Users
Banking, Consulting, Consumer Goods, Energy Industry, Healthcare, IT Services, Logistics, Production, Real Estate, Retail.
Industries Served
Banking, Consulting, Consumer Goods, Energy Industry, Healthcare, IT Services, Logistics, Production, Real Estate, Retail.
Tags
Process Mining, Business Process Management, Data Analytics, Process Optimization, Workflow Automation.

process.science's In-App Market Place

Does process.science have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CHF (CHF), CNY (¥), INR (₹), MXN ($), SGD (S$), HKD (HK$), SEK (kr)

Pros & Cons

  • • Provides valuable data-driven insights through comprehensive process analysis.
  • • Offers effective analytics and visualizations for identifying patterns and outliers.
  • • Facilitates root cause analysis to pinpoint issues within processes.
  • • Offers reliable access control and easy data import.
  • • Simplifies interface configuration and offers user-friendly tools.
  • • Allows for the logs of an event to be extracted at various timestamps.
  • • Offers transparency in the information it provides.
  • • Effectiveness is heavily reliant on high-quality, readily available data.
  • • May face scalability and performance challenges with very large datasets.
  • • Presents a steep learning curve for new users.
  • • Integrating Qlik Sense to transfer ERP events can be challenging.

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