All

Sector - Small Business

Sector - Senior Living

Sector - Hotels

Sector - Healthcare

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 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.

Data Privacy - Program Management

A data privacy management program is a strategic imperative that helps a company navigate the complex landscape of handling personal information. It shields the company from hefty fines and legal consequences, fosters trust with customers and partners, and safeguards an organization's reputation. Privacy measures can enhance the company's competitive advantage in an environment where data protection is increasingly important. Conversely, the absence of a data privacy management program can lead to regulatory non-compliance, legal repercussions, and financial losses. Data breaches and security incidents can erode customer trust, hamper relationships, hinder business opportunities, damage a reputation, and disrupt operations.

Data Privacy - Operations Management

Data privacy controls in a company's operations enable the organization to build and maintain trust with customers, partners, and employees by demonstrating a commitment to continuously safeguard sensitive information. Effective data privacy controls ensure legal compliance with evolving regulations, and protect the company from potential legal repercussions and financial losses associated with non-compliance. Employees must clearly understand the need for operational controls as well as continuous vigilance and monitoring. The absence of operational controls means employees and partners may not provide the necessary attention to prevent negative data privacy incidents and breaches.

Data Privacy - Privacy by Design

Privacy by design (PbD) principles promote the integration of privacy considerations into the design and development of operations, systems, processes, and products. Following PbD principles builds privacy into operations from the outset, enhances customer trust, and potentially offers a competitive edge in privacy-conscious markets. PbD for consumer goods and services specifies high-level requirements for organizations to protect privacy throughout the lifecycle of a product. Conversely, the absence of a PbD program leads to reactive measures, resulting in the challenges to retrofit privacy protections, increased costs, potential legal consequences, operational inefficiencies, reputational damage, compliance issues, and a struggle to adapt to changing privacy regulations.

Data Quality - Program Management

Data is a strategic asset that can lead a company to better decision-making, sustained growth, and a competitive advantage. A data quality governance program helps ensure a company's data assets' accuracy, reliability, and usability. Quality data provides stakeholders with confidence in the integrity of the data they rely on, thereby supporting strategic initiatives and fostering a culture of data-driven insights. Conversely, the absence of a data quality governance program can lead to inaccurate reporting, flawed analytics, and compromised business intelligence. Poor data quality negatively impacts operational efficiency, erodes stakeholder trust, and may result in compliance issues.

Data Quality - Operating Practices

Data quality operational practices ensure the reliability and accuracy of an organization's data, positively impacting decision-making and overall business performance. Operational practices help maintain high data quality standards by implementing measures such as validation checks, automated monitoring, regular assessments, and continuous improvement. On the negative side, the absence of robust data quality operational controls can lead to widespread errors, inefficiencies, and unreliable business processes. Poor data quality jeopardizes the integrity of operational insights, resulting in misinformed decisions, increased operational costs, and diminished trust among stakeholders.

Data Inheritance

Often your digital information is valuable financially or emotionally to family and friends. Be prepared for someone to manage your data in the event you become incapacitated or die.