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What Is Data Minimisation? Definition & Examples

IT Governance

Data minimisation is a key part of information security and the GDPR (General Data Protection Regulation) in particular. Its principles are at the heart of effective data protection practices, and are intended to prevent privacy breaches and minimise the damage when security incidents occur. What is data minimisation?

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Examples and uses of GIS

IBM Big Data Hub

One of the largest sources of data is all around us—that is, geospatial data. Geographic information systems (GIS ) visualize and make sense of this data, helping people and businesses better understand the patterns and relationships of our world.

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Climate change examples

IBM Big Data Hub

Here are a few examples: Sea ice loss and melting ice sheets: Declining levels of Arctic sea ice threaten the habitats of species such as polar bears and walruses. Poor air quality from wildfire smoke can exacerbate asthma and heart disease, for example, while heat waves can cause heat exhaustion.

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Business strategy examples

IBM Big Data Hub

It’s also essential to understand an organization’s market position, as the following business strategy examples will show. Some examples of business strategies that embody these foundational theories are explored below.

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Outrun Your Competition: Best Practices for Accelerating Sales Processes

By building a modern GTM motion that uses data, automation, and proven best practices to unlock insights, engage customers, and win faster. How can you speed it up?

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Customer experience examples that drive value

IBM Big Data Hub

As such, more organizations are increasing their dedication to CX strategy and looking towards successful customer experience examples for inspiration. Thankfully, customer-centric organizations have many tools, examples, and use cases at their disposal to meet the growing needs of today’s customers.

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Examples of sustainability in business

IBM Big Data Hub

There are various examples of sustainable business practices that companies can adopt to improve their business model. Google, for example, takes first place in purchasing the most renewable energy of any company over the past 10 years. One common corporate sustainability strategy is known as the triple bottom line.

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The Definitive Guide to Dashboard Design

Download the Definitive Guide to learn why dashboard design matters, and how to do it well.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.

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The Evolution of the Data Team: Lessons Learned From Growing a Team From 3 to 20

Speaker: Mindy Chen, Director of Decision Science, Hudl

There is no denying that growing a data team has its challenges. What you plan your data team structure to look like initially may not turn out to be the most effective long term. Building a well balanced skill set within your data team and evolving the function alongside the business to ensure continuous growth is no easy feat.

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Solving the Biggest Tech Challenges in RevOps

In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data.

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The Definitive Guide to Predictive Analytics

The Definitive Guide to Predictive Analytics has everything you need to get started, including real-world examples, steps to build your models, and solutions to common data challenges. Techniques to solve common data challenges and build performant models. How to price and package predictive analytics with your product.