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Understanding modern data stack (Part 1)

Data is truly transformative. However, organizations can uncover value only if they can effectively manage data through its lifecycle. A modern data stack is a collection of pluggable tools that help enterprises collect, store, process, share, distribute, and protect data, ultimately helping companies extract more value from their data. As businesses evolve, what data is…
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Top 5 Strategies to Reduce Cloud Data Storage Costs

One of the primary reasons for cloud migration is flexibility and lower capital costs. As a result, the cost value becomes evident when compared to on-premise or legacy IT infrastructure. Initially, you will see substantial cost benefits of using the cloud. However, after the early days of adoption have passed, you might notice that your…
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Data Minimization Steps

Why Data Minimization Matters Numerous businesses – maybe even yours – have spent the past decades believing the hype that “data = success” in the modern tech-driven economy. While it’s true that informed and judicious use of the right data at the right time can drive significant benefits to your business, not all data is…
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What Is Data Security Posture Management (DSPM)? Why It Matters?

Companies have accumulated a ton of data over the past few years. According to some estimates, we have generated more data in the last two years than all data obtained throughout human history. One of the victims of this massive data collection and processing is consumer privacy. Countries have started passing new privacy laws to…
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Delivering Good Data Governance – Key Considerations

 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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Data Governance Best Practices

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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Considerations to Deliver Good Data Governance

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. In its simplest form, data governance aims to…
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Want to Operationalize Privacy? A Short Evaluation

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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Is Your Data Governance Ready for Privacy? A Quick Assessment

This short self-driven assessment evaluates foundational data governance blocks needed for data protection. Please answer these questions with Yes, Partial, or No. Do you track data storage location as part of your data map? Have you mapped and identified sensitive data? As part of data mapping, do you audit if data sources are secured and…
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What Attributes to Capture in GDPR / CCPA Data Mapping? Ten Essential Attributes

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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