Name: process.science
Price: 4.91 USD
Author: process.science

Help Desk

Web and Video Conferencing

Customer Support

Java Technologies

Service Mesh

Development

Academic Advising

Education

Business Intelligence (BI)

Collaboration

Desktop Publishing

Enhanced 911 (E911)

Interactive Voice Response (IVR)

Risk Management

VoIP

Enterprise

Accounting

Crypto Asset Management

Invoicing

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Credentialing

HR Management

Leave Management

Payroll

Recruitment Automation

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Application Infrastructure

Cloud Storage

Data Masking

Email Verification

File Sync and Share

Fraud Detection

HTML Editors

IT Asset Management

Integration Platform as a Service (iPaaS)

License Management

Log Management

Machine Learning

Network Performance Monitoring

Network Troubleshooting

Operating Systems

Remote Support

Secret Managers

Software Distribution

Tape Storage

Threat Hunting

Threat Intelligence

Vector Databases

VoIP Monitoring

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Brand Intelligence

Content Management

Email Marketing

Graphics

IP Geolocation

Marketing Automation

Social Login

Social Media Management

Survey & Forms Building

Swag Management

URL Shorteners

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Acceleration

Sales

Video Surveillance

Security

Auto Repair

Building Information Modeling (BIM)

Emergency Notification

HIPAA Compliance

Laboratory Information Management

Legal Billing

Vertical-Specific

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### Business Intelligence and Reporting
Users generally praise process.science for its robust business intelligence and reporting capabilities. The software's ability to provide detailed analysis and visualization of processes, coupled with its integration with popular BI tools like Power BI and Qlik, has garnered positive feedback. Reviewers appreciate the ease of use and the comprehensive functionality that process.science offers in terms of business intelligence and reporting. Additionally, the software's reporting features, data integration, and visualization tools have been highlighted as key strengths by users, contributing to an overall positive experience with the platform.

### Process Mining and Analysis
Users generally praise process.science's robust process mining and analysis capabilities. The software's ability to provide detailed event logs, analyze performance bottlenecks, and optimize processes has garnered positive feedback from users across various industries. While some users have noted minor drawbacks such as the need for additional installations or initial configuration challenges, the overall consensus remains favorable towards the software's effectiveness in enhancing process visibility and efficiency. The intuitive visualization of process flows, identification of outliers, and real-time insights into process performance have been highlighted as key strengths of process.science's process mining and analysis features.

### Data Visualization and Optimization
Users generally praise process.science for its robust data visualization and optimization capabilities. The tool's ability to provide intuitive visualization of bottlenecks and outliers in real-time has been particularly well-received. Users appreciate the significant optimization it offers for various processes, allowing them to identify areas for improvement efficiently. Additionally, the feature that allows users to compare two process flows simultaneously has been highlighted as a valuable asset for enhancing data visualization and optimization efforts. However, some users have expressed challenges in filtering down to specific events, especially those with limited data, which can hinder the overall data visualization experience.

### Integration and Automation
Users consistently highlight process.science's integration with Microsoft Power BI as a key strength, emphasizing the ease of integration and the efficiency of automation processes. The software's ability to seamlessly integrate into existing BI systems and provide real-time insights for process optimization is widely appreciated. While some users suggest room for improvement in enhancing the integration process, overall, the sentiment leans towards positive experiences with the integration and automation functionalities offered by process.science.

### Performance and Improvement Tracking
Users universally praise process.science for its exceptional performance tracking and improvement capabilities. The reviews highlight the ease of integration with existing systems, such as Microsoft Power BI, and the effectiveness of the cloud capabilities for reporting and notifications. Users appreciate the ability to track changes across multiple projects and the simplicity of the user interface. The software's affordability and value for optimizing processes and performance are also noted. Additionally, users find the tools easy to manipulate, reliable access control functions, and efficient data import features. Process.science is seen as a valuable tool for analyzing and optimizing performance, making it a popular choice for organizations aiming to continuously improve their processes.

### User Experience and Interface Design
Users consistently praise process.science for its straightforward and clean user experience, emphasizing its ease of use and user-friendly interface. However, some users note that certain aspects of the system may be challenging for those in less IT-heavy areas. Despite this, the majority of reviewers appreciate the cloud capabilities, effective reporting features, and functional notification options that enhance the overall user experience.

process.science is a Process Mining tool designed to integrate with Power BI and Qlik Sense. According to the vendor, this tool provides medium-sized companies with real-time process transparency, allowing professionals such as business and data analysts, process improvement specialists, operations managers, and supply chain managers to identify outliers and improvement potentials. By visualizing process flows, process.science aims to support data-driven decision-making and optimize processes across various industries.

**Key Features**

**Real-time process transparency**: According to the vendor, process.science offers real-time visualization of business processes, enabling users to identify outliers and improvement potentials in a timely manner. The vendor claims that this feature can help improve lead times, reduce costs, enhance quality, and mitigate commercial risks.

**Intuitive visualization of outliers**: process.science provides intuitive graphical representations of process flows, which, according to the vendor, can help users identify areas of inefficiency and bottlenecks. This visualization capability aims to support users in identifying opportunities for process improvement and making data-driven decisions.

**Simple integration with Power BI and Qlik Sense**: The vendor states that process.science seamlessly integrates with Microsoft Power BI and Qlik Sense, eliminating the need for a complicated stand-alone solution or additional system setup. The vendor claims that the implementation of process.science is minimal effort and risk-free, allowing for automated real-time process analysis within existing BI systems.

**Objective analysis based on existing data**: process.science analyzes existing data from IT systems to provide an objective understanding of business processes. According to the vendor, this eliminates subjective estimations and biases, enabling users to make data-driven insights for effective process improvement.

**Process transparency and target process comparison**: process.science compares target processes with actual processes, aiming to help users identify deviations and make necessary adjustments and corrections. The vendor claims that this feature supports the synchronization of processes across business units and production facilities, providing a neutral and 1:1 comparable view of processes.

**Cash flow overview and optimization**: According to the vendor, process.science provides an overview of monetary flows and durations, allowing users to identify optimization potential in customer transactions. The vendor states that process.science also compares margins of products and contracts, as well as reviews payment times and inventory turnover rates, for effective financial management.

**Cost and profit optimization**: process.science aims to identify problems and intervene before they become expensive. According to the vendor, it measures supplier performance and internal KPIs, identifies products with low turnover rates, and considers production costs and lead times for efficient cost and profit optimization.

**Compliance violations detection**: According to the vendor, process.science ensures adherence to internal and external guidelines by identifying and addressing process sequences that deviate from standards. The vendor claims that this feature helps avoid risks, maintain compliance, and detects discrepancies from target processes.

**Team efficiency analysis**: process.science measures and compares lead times, turnover development, and order registration frequencies to help users identify areas for improvement and synergy potentials. According to the vendor, this feature aims to optimize team performance, reduce double work, and monitor key figures to identify outliers.

**Product analysis and root cause analysis**: process.science aims to identify troublemakers in the product portfolio by analyzing return rates, production times, and margin assortments. The vendor claims that it can determine products sold by staff preferences and conduct automated root cause analyses for effective product management.

Helpful Event Log Feature: Several users have found the event log feature of process.science to be invaluable as it provides a detailed log of activities, timestamps, and critical information for making informed decisions.

Easy Interface Configuration: Many reviewers appreciate the easy interface configuration of process.science, which simplifies the setup and manipulation of tools. The reliable access control functions also ensure secure data handling.

Efficient Data Import: Users have praised the efficiency of the data import feature in process.science. It allows for easy and efficient importing of data, while the cost-effective data modeling and fast performance speed provide accurate insights into marketing project processes.

Complexity and Learning Curve: Several reviewers have mentioned that the software is complex and requires a significant amount of time for employees to get used to. They have expressed that it can be challenging for new users to navigate and understand all the features, which may result in a steep learning curve.

Data Processing Time: Some users have noted that the software requires data processing before use, which can be time-consuming. This additional step adds to the overall time required to analyze processes using the software.

Lack of Features and Templates: A few reviewers have pointed out that compared to other process mining tools, this software lacks some features and process analysis templates. This limitation may hinder users who rely on specific functionalities or pre-built templates for their analysis needs.

Users and customers have found process.science to be a highly efficient tool for identifying unnecessary work and optimizing processes. By excluding unnecessary steps, team members are able to work more efficiently and effectively. The software has been particularly useful for cost-profit optimization, enabling customers to analyze and improve their workflows for increased profitability. Additionally, process.science has proven to be stable and reliable for real-time analytics generation, providing secure data management and helping users create profitable reports. Its capabilities in tracking various processes, such as transaction data, have allowed organizations to optimize them while maintaining compliance policies. With its accurate data analytics generation and responsive data connectors, process.science is effective for process control and has been valuable in combining business data analysis with process optimization. Users have also found it beneficial for developing field service software by efficiently identifying cases via links and describing each step of execution. Overall, users have had a fantastic experience with process.science, finding the setup and usage flawless, the features effective for visualizing processes, and the customer support team great and enthusiastic.

Basic

Professional Subscription

Kintone

Appian is a low-code development and business process management platform. It features drag-and-drop design for app building, automated work processes, unified data management, and cloud-based deployment.

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Application - Standard

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Unlimited

Application - Infrequent

Application - Input-Only

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process.science

Business process management (BPM) is a systematic approach to managing and optimizing a company's business processes, with the goal of improving corporate performance. BPM usually involves designing, modeling, implementing and measuring workflows and business rules, thus helping companies to refine and optimize processes that involve human interaction or multiple business applications. BPM is often a juncture between IT and business departments at a company.

BPM software supports the activity of BPM with capabilities such as case management, application development, workflow design and modeling, business rules engine, and reporting and alerting.

Business Process Management (BPM)

Process Engine

Process designer

Web-based tool for creating and customizing web process models

Process simulation

Evaluating model performance with real data, and optimizing

Business rules engine

Business rules engine allows non developers to change business logic in a model

SOA support

Support for reusable services to be built into process design

Process player

Step-by-step analysis of model to validate business rules

Support for modeling languages

Support for modeling languages like BPML, BPEL, and BMMN.

Form builder

Model execution

Ability to execute model and build code without programming skills

Collaboration tools allowing BPM experts to collaborate on model design

Social collaboration tools

Social tools for discussion threads, wikis, enabling decision making

Reporting & Analytics

Users can report on and analyze usage, performance, ROI, and/or other metrics of success.

Dashboards

Users can create, customize and share dashboards, which provide an overview of the most important metrics.

Standard reports

The software offers pre-built reports with metrics standard to the category.

Custom reports

Content Management Capabilties

Content management

Content management tool for storing and managing versioning of electronic documents, images, etc.

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process.science

Overview

What is process.science?