
7 Components of a Sustainable Data Strategy and the 5 Benefits You Can Get From It
A sustainable data strategy is, at its core, sustainably managing and organizing data in a way that minimizes digital waste and maximizes efficiency.
A sustainable data strategy is, at its core, sustainably managing and organizing data in a way that minimizes digital waste and maximizes efficiency.
As 2024 approaches transformative trends in the data landscape. Innovations in data centers, including edge computing, liquid cooling, and AI-driven management, redefine operational efficiency. In analytics, augmented and real-time capabilities, coupled with increased data democratization, shape decision-making processes. Cloud computing advances through hybrid models and quantum capabilities, while sustainable practices and heightened data security measures gain prominence. The growing importance of data literacy underscores its role in building a resilient, agile, and competitive future for organizations navigating the dynamic digital terrain.
Explore the crucial role of data literacy in organizational success. Learn six key tips, emphasizing the essential investment in data literacy for team empowerment in the data-driven landscape.
As big data, artificial intelligence (AI), and data storage in the cloud become increasingly prominent in today's digital age, concerns about their environmental impact have risen.
Last year, Meta (formerly known as Facebook) agreed to pay $725m (£600m) to settle a lawsuit over a data breach linked to political consultancy firm, Cambridge Analytica.
As one of the worst data privacy breaches in history, what exactly happened that created this lawsuit in the first place?
In the rapidly evolving digital landscape, the protection of individuals' personal data has become a paramount concern. The European Union's General Data Protection Regulation (GDPR) stands as a pivotal moment in the history of big data in safeguarding the privacy rights of European citizens.
Boost your data health and performance with our cutting-edge data observability solutions. Discover the 5 key pillars for ensuring data reliability, proactively detecting issues, and achieving operational excellence in the era of big data.
Serving as a roadmap, data governance policy ensures data quality, security, and access, preventing poor decision-making, fostering data democratization, and ensuring regulatory compliance.
The CPG industry is marked by intense competition, rapidly changing consumer preferences, and an increasingly digital marketplace. To thrive in this environment, companies need to harness the power of data to gain insights, make informed decisions, and remain competitive. However, they face numerous data challenges that must be addressed to fully leverage this resource.
Uncover the role of data management in the global AI revolution with insights from a study by S&P Global Market Intelligence for WEKA. Explore key findings and effective strategies, from cloud adoption to data governance and sustainability integration, ensuring organizations thrive in the evolving AI landscape.