Keeping it Fresh: Don’t Let Your Data Go to Waste
Data must be fresh, i.e. readily available, relevant, trustworthy, and current to be of any practical use. Otherwise, it loses its value.
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Technology
Behind Every Analysis Lies Great Data Wrangling
Most companies spend the vast majority of their resources doing data wrangling in a predominantly manual way. This is very costly and inhibits data analytics.
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Data Architecture: The Forever Quest for Data Perfection
Data architecture is a critical component of modern business strategy, enabling organisations to leverage their data assets effectively.
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Mind the Gap: Bridging GenAI Promise and Practice
While the benefits of GenAI are promising, the path to adopting such technologies is not straightforward at all.
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Data Automation: Investing Pennies to Save Pounds
Data automation is a critical enabler of efficiency, accuracy, and strategic insight. It also considerably lowers your business cost when producing said insight
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Data Strategy: Taking a Business View
Data strategy aligns data-related activities with the strategic goals of an organisation. It’s about turning data into value.
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Out with the Old ETL: Navigating the Upgrade Maze
Today, we have tools and experience to make digital transformation easy. Yet, most organisations cling to their antiquated data systems and analytics. Why?
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Data Pipelines: From Raw Data to Real Results
The primary purpose of data pipelines is to enable a smooth, automated flow of data. Data pipelines are at the core of informed decision-making.
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