Articles

Article card: Decision Velocity — why the dashboard era is evolving into action. Jennifer Stirrup, AI Strategy and Data Consulting.

Decision Velocity: Why the Dashboard Era is Evolving into Action

This week’s discussion focuses on the changing role of dashboards in the context of AI and decision velocity. While traditional dashboards often promote passive data observation, organizations must shift towards action-oriented decision-making. High decision velocity is essential for effective strategy, requiring real-time data and confidence in data utility for decision velocity leading to actions.

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Is Your Power BI a Spotlight or an Instagram Filter?

Power BI’s greatest value might not be the insights it delivers. Rather than masking the issues like an Instagram filter, Power BI may be your critical friend because of the problems it exposes. The wise thing to do is to use that signal to navigate your next step, rather than try to mask it as if it is an Insta filter. 

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Why Your Team Needs a Database Design Specification: Purpose, Audience, and Impact

A comprehensive database design specification is crucial for organisations as it serves as a blueprint for data structure, ensuring alignment among stakeholders. It helps prevent costly redesigns, enhances data quality, supports scalability, and fosters collaboration between teams. Regular updates ensure its relevance. It is ultimately improving business outcomes and reducing development costs for rework.

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Bridging Data Silos for innovation

Despite years of digital transformation, data silos remain a persistent barrier for many organizations. Sound familiar?
Examples include fragmented information across legacy systems and cloud platforms while introducing new data sources. Organizations are playing catchup, which continues to hinder access to the insights that drive genuine business value.

If you’re not connecting your data ecosystem efficiently, you’re missing out on the competitive edge that comes from true data fluency.

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Data Observability

Making your AI work with Data Observability: Trends in 2024 and beyond

Artificial Intelligence is essential to help companies stay competitive in the fast-paced digital landscape. To achieve AI ambitions, organizations need data and a cyber-resilient data platform to support them, and this will mean a growing need for data observability. As organizations become increasingly data-driven toward achieving AI ambitions, they recognize the need to ensure data accuracy, reliability, and quality. Data observability solutions empower organizations to gain clear visibility into their data pipelines, rising to meet the growing requirement that data is correct, timely, and dependable to meet AI ambitions.

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