Data governance has become essential to enable and protect data in today’s data-driven organizations. As three Vs of data – volume, variety, and velocity – continue to grow, data governance has become complex. Here are some of the factors that can help you launch and run a successful data governance program. Privacy, Security, and Compliance…
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With the current data economy, organizations want to enable ubiquitous data for their workforce. Growing privacy regulations and increasing data security threats influence how you enable and govern your organization’s data. Figuring out the right data governance model is, therefore, something that organizations have to get right. At its simplest form, data governance aims to…
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The traditional process-based approach will not scale and handle today’s volume and complexity. To handle privacy at scale, an organization must operationalize privacy. Operationalizing privacy is not an easy effort. DPOs (Data Protection Officers) and CDOs (Chief Data Officers) have to work in partnership to operationalize privacy. Before you start, how do you know your…
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This short self-driven assessment (~3 min) evaluates foundational blocks needed for data protection. The assessment classifies your organization’s data governance into the following categories. Not ready for privacy. Hard to identify privacy vulnerabilities and triaging incidents. Good start. Reactive to privacy issues and incidents. Privacy ready. Processes can help achieve privacy compliance but requires manual efforts in executing…
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Data protection requirements vary based on the nature of the data hence organizations must have a comprehensive and accurate data map of what data they collect, store, and process. Here is a quick list of attributes that companies should collect as part of their data discovery process. A data mapping process is typically long and…
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Big Data, no longer just a buzzword or a promise of exciting things to come, is something that many businesses leverage daily in this modern age. With the advent of the digital age, high volumes of data are generated daily from the internet, social networks, healthcare applications, sensors, and various other sources. Big Data refers…
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Companies are always collecting and analyzing data about their customers. Previously, organizations would indefinitely save all the data collected. However, with the growth of the internet, data has become easy to obtain, and customers share more information about themselves than ever before. Saving all this data means that these companies spend more money and time…
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A massive amount of data is being collected every day. Every business that has ever existed online has collected customer data. This data streams from a range of smart devices interconnected as the IoT (Internet of Things). Computer capacities are growing worldwide, so the amount of data is also increasing exponentially; as the number of…
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Automate Privacy Compliance for Work-From-Home Workers Coronavirus is on everyone’s mind. Many people are working from home. The work-from-home scenario presents some privacy implications related to: Communication, Devices, Policies and Procedures, Security, and Accountability and Auditing. Businesses will have to build new compliance muscle with work-from-home workers. The appropriate automation must be used to keep…
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COVID-19 has impacted business operations across the globe forcing many companies to work remotely. Working remotely has huge data privacy and security implications. We have created a basic checklist that will help employers to protect their data as employees work from home. This global pandemic could remain a threat for a prolonged period of time.…
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