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What is process.science?

Process mining is a contemporary technique that merges the evaluation of business data with process improvement initiatives. In this context, every activity carried out by an organization is tied to a specific process instance referred to as 'Cases.' The ERP system records all relevant transaction information pertaining to these processes in files known as 'event logs.' A fundamental event log must encompass three critical components. With this data in hand, analysis can commence right away. The case identifier links all events associated with a particular business case into a coherent sequence, while the activity name reveals the specific step taken in the process. Additionally, the timestamp denotes when a particular action took place. By correlating the details from Case ID, Activity, and Timestamp, process mining creates an accurately ordered representation of the process, allowing for visualization that offers profound insights into operational efficiency. The possibilities for analysis through process mining are nearly boundless, depending primarily on both the quality and depth of data input into the mining software, empowering organizations to consistently improve and optimize their processes. This dynamic capability enables companies to adapt swiftly and effectively in a rapidly changing business environment.

What is Seerene?

Seerene’s Digital Engineering Platform provides sophisticated software analytics and process mining functionalities that analyze and visualize the software development processes within your organization. By pinpointing areas of inefficiency, this platform transforms your business into a more streamlined operation, facilitating software delivery that is not only swift and high-quality but also economical. It empowers leaders with vital insights needed to guide their teams toward achieving exceptional software standards. The platform is capable of identifying code segments that are likely to harbor defects, which can hinder developer productivity, while also recognizing high-performing teams so that their successful practices can be implemented throughout the organization. Furthermore, it assesses potential defect threats in release candidates by meticulously reviewing code, pinpointing development hotspots, and evaluating testing strategies. It also reveals areas where there is a mismatch between the effort expended by developers and the value produced for users, along with identifying code that remains unused by end-users, leading to unnecessary maintenance costs. In essence, Seerene not only helps organizations enhance their software development lifecycle but also significantly boosts overall productivity and effectiveness across teams. This comprehensive approach ensures that companies remain competitive and adaptive in a fast-paced technological landscape.

Media

Media

Integrations Supported

Microsoft Power BI
Qlik Sense

Integrations Supported

GitHub
GitLab
Jenkins
Jira

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

process.science

Company Location

Germany

Company Website

www.process.science/benefits

Company Facts

Organization Name

Seerene

Date Founded

2011

Company Location

Germany

Company Website

www.seerene.com

Categories and Features

Process Mining

Not specified

Categories and Features

AIOps

Not specified

Application Development

Access Controls/Permissions
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Deployment Management
No-Code
Reporting/Analytics
Source Control

Application Performance Monitoring (APM)

Diagnostic Tools
Resource Management
Trace Individual Transactions

Audit

Not specified

Big Data

Not specified

Business Intelligence

Not specified

Decision Support

Not specified

EAM

Not specified

IT Asset Management

Contract/License Management
Inventory Management
Supplier Management

IT Management

Not specified

IT Service

Not specified

Process Mining

Not specified

Product Management

Not specified

Quality Management

Complaint Management
Corrective and Preventive Actions (CAPA)
Document Control
Equipment Management

Reporting

Customizable Dashboard
Forecasting
Report Export

Risk Management

Not specified

Static Code Analysis

Not specified

Vendor Management

Not specified

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