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What is KnowRisk?

KnowRisk® Standard is designed for environments where a small group collaborates to manage a risk register of limited size along with assurance tasks. The information is kept on individual desktops, enabling users to operate various databases that cater to different work programs, making it ideal for situations where there is no connection to a centralized database; additionally, users can choose to upload their data to a central repository later. Conversely, KnowRisk® Professional is aimed at a wider audience, accommodating everyone from small teams to larger groups who manage multiple risk registers simultaneously. Users typically benefit from the Forms technology, which improves their experience in capturing, assessing, and analyzing risk data. This version is particularly beneficial for risk management departments with a smaller staff, as they can delegate risk management responsibilities to designated champions and team members. Moreover, the system's flexibility in user access and its ability to process large datasets make KnowRisk® Professional an excellent choice for organizations looking to enhance their risk management efficiency. Furthermore, the adaptability of the system ensures it can grow alongside an organization's evolving needs.

What is DPOrganizer?

Our data mapping solutions and integrated functionalities form the foundation of successful privacy governance, offering you an all-encompassing perspective on the data you hold and how it is utilized. We help you identify processing activities that present a high level of risk and uncover vulnerabilities, such as ambiguous objectives, insufficient legal grounds, or unclear retention strategies. Thanks to an intuitive user experience, engaging various stakeholders becomes a straightforward task, irrespective of their technical knowledge. You can optimize the management of your privacy initiatives and automate continuous planning through Tasks, which enable you to consolidate scheduled activities and set reminders for prompt execution, thus allowing you to focus on more critical projects. It also empowers you to enhance staff training and build widespread awareness effortlessly. By utilizing a user-friendly course builder, you can eliminate ambiguity in privacy training, making course creation easy for you while ensuring your colleagues find it simple to navigate. This method not only encourages compliance but also nurtures a culture of privacy across the organization, ultimately leading to a more secure environment for everyone involved.

Media

Media

Integrations Supported

Stackreaction

Integrations Supported

Stackreaction

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

€3,500 per year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

CorProfit Systems

Company Website

www.corprofit.com

Company Facts

Organization Name

DPOrganizer

Date Founded

2015

Company Location

Sweden

Company Website

www.dporganizer.com/product-tour/

Categories and Features

Financial Risk Management

Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation

Categories and Features

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

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