Resources
Collection of news, articles and features on all things data, from the infoboss team…
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Data quality
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Part 4. Clean the data before you move it.
Successful cloud migration starts with data intelligence, not data movement.
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Part 3. Data foundations.
When data foundations work, they are rarely noticed. They simply allow the business to move faster, with confidence.
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Part 2. Building Shareholder Value
Colin’s journey shows what is possible when technology, expertise, and strategic vision come together with a clear purpose. infoboss has not only reshaped 3C Consultants, but it has helped raise expectations across the social housing sector.
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How to achieve Santa-level precision with your data
Have you ever stopped to appreciate just how extraordinary Santa and his team of elves are at managing and exploiting data? In many ways, he’s the gold standard the rest of us are chasing. When you look closely at the scale of his operations – and the flawless service he delivers – the secrets behind…
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What is sustainable data quality management?
Sustainable data quality management is a long-term, ongoing approach rather than a one-time event. Here’s what it looks like in practice: Key Characteristics: Why Sustainability Matters: Research from the University of Denmark shows that data quality degrades at approximately 2% per month if left unmanaged. This means that without sustainable practices, data quality improvement initiatives
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Use case: Data quality & Compliance Management
For many organisations, especially those operating in highly regulated environments, unreliable data is more than an inconvenience. It drives unnecessary cost, heightens risk and slows the pace of work. In social housing in particular, governance failures and regulatory downgrades are often rooted in poor data.
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infoboss + Regulativ.ai collaborate…
infoboss & Regulativ.ai are creating an end to end, AI driven approach that helps organisations manage data confidently, streamline regulatory obligations and reduce the cost and complexity of compliance.
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The benefits of white labelling…
As AI and data management evolve, consultancies and service providers face a choice: invest heavily in developing technology, or leverage a proven platform and make it their own. White labelling a data management or RAG platform lets you strengthen your brand, expand your service portfolio, and unlock new recurring revenue – without the complexity of…
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Why do 95% of AI projects fail?
AI pioneers are focussing on the technology and not the benefits, of focussing on the outputs and not considering the inputs. Implementing AI will undoubtedly herald a new dawn in business benefit realisation BUT and it’s a big BUT, only if the organisation sorts out its data management processes once and for all. So in…
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What is AI Data Preparation?
In the rush to adopt artificial intelligence (AI) and automation, one critical step is often overlooked: data preparation. Without high-quality, well-structured data, even the most sophisticated AI models or analytics platforms will fail to deliver reliable results. AI data prep (artificial intelligence data preparation) is the process of collecting, cleaning, organising, and structuring raw data…