All

Sector - Small Business

Sector - Nonprofits

Sector - Senior Living

Sector - Hotels

Sector - Healthcare

Sector - Biosecurity

Cybersecurity

Data Security

User Access & Privileging

Health and Safety

Manufacturing & Machinery

Supply Chain

Process Governance

Financial Discipline

Human Resources

Continuity & Recovery

Compliance

Artificial Intelligence

Data Regulations

Data Management

Software Development

Ethics & Sustainability

Getting Started

Data Regulation US OH Data Protection Act

Provides organizations with a legal incentive to achieve a “higher level of cybersecurity” by maintaining a cybersecurity program that substantially complies with any one of the approved industry-recommended frameworks. Companies in compliance with any of the frameworks are entitled to a “legal safe harbor” as a defense against legal claims related to a data breach stemming from alleged failures to adopt reasonable cybersecurity measures.

Data Regulation US CT Gen Statute 42-471

Conn. Gen. Stat. § 42-471 requires any company who collects Social Security numbers in the course of business to create a privacy protection policy. The policy must be "publicly displayed" by posting on a web page and the policy must (1) protect the confidentiality of Social Security numbers, (2) prohibit unlawful disclosure of Social Security numbers, and (3) limit access to Social Security numbers.

Data Regulation US DE Code 6-205C

Del. Code Tit. 6 § 205C affects an operator of a commercial internet website, online or cloud computing service, online application, or mobile application that collects personally identifiable information through the Internet about individual users residing in Delaware. A company must make its privacy policy conspicuously available on its internet website, online or cloud computing service, online application, or mobile application.

Data Regulation US NV NRS 603A

Nevada Revised Statutes, Chapter 603A, focuses on the security of personal information.

Data Regulation US UT Code 13-37-201

Utah law 13-37-201 to -203, although not specifically targeted to online businesses, require all non-financial businesses to disclose to customers, in writing or by electronic mail, the types of personal information the business shares with or sells to a third party for direct marketing purposes or for compensation.

Data Regulation AU Data Policy - Program

The African Union data policy framework is a guiding document that outlines key requirements and recommendations for data governance in African Union member states. Companies must establish robust governance mechanisms around data protection, cybersecurity, and electronic transactions. This includes appointing a person responsible for data protection, ensuring lawful and fair data processing, securing personal data, conducting regular audits, managing cross-border data transfers, and ensuring accountability for data protection compliance. This topic addresses managing a governance program to meet the AU's guidelines.

Data Regulation AU Data Policy - Operations

The African Union data policy framework is a guidance document that outlines key requirements and recommendations for data governance in African Union member states. Companies must establish robust controls around data subject rights, data subject consent, data minimization, automated decision making, artificial intelligence, and data security. This topic addresses managing operational data controls to meet AU's guidelines.

Data Usage - Presentation

Companies gather data from many sources, but it often languishes in computers until it becomes obsolete. Using this data can provide new insights into your business, and sometimes be another source of revenue. A business must focus on using existing data, and supplement it with external data if helpful. Focus on presenting the information and KPIs using dashboards and other visualization tools.

Data Usage - Capture & Analysis

Companies gather data from many sources, but it often languishes in computers until it becomes obsolete. Using this data can provide new insights into your business, and sometimes be another source of revenue. A business must focus on using existing data, and supplement it with external data if helpful. Develop the discipline to capture and analyze the information generated by your business.

Data Management for Business

Companies rely on data for decision making and managing operations. But when this data is not properly obtained, scrubbed and cleansed, and retained, it is costly. Unhappy customers and vendors, poor decisions, and non-compliance are just a few results. Properly managing your data from the beginning to the end will ensure confidence when using your information.