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Data Privacy and Trust in the Digital Age

The New Frontier: Building Trust in a Data-Driven World

The New Frontier: Building Trust in a Data-Driven World In today’s world, data drives decisions. Companies collect vast amounts of information. This includes personal details, habits, and preferences. However, with great power comes great responsibility. Trust is essential. Consumers often wonder, “Is my data safe?” They frequently ask, “How is my data used?” Organizations must… Read More »The New Frontier: Building Trust in a Data-Driven World

Retail audit best practices

Maximizing Efficiency: Best Practices for Retail Audits

Maximizing Efficiency: Best Practices for Retail Audits Retail audits are essential for ensuring operational efficiency. They help assess compliance, inventory accuracy, and overall performance. However, maximizing their effectiveness requires a strategic approach. Here, we explore best practices that can enhance your retail audit processes. Understand the Purpose of Retail Audits Firstly, clarify the objectives of… Read More »Maximizing Efficiency: Best Practices for Retail Audits

Census for retail audit - best practices

Census-Driven Retail Audits: Best Practices for Accurate Inventory Management

Census-Driven Retail Audits: Best Practices for Accurate Inventory Management Accurate inventory management is crucial for any retail business. Yet, many retailers struggle with inventory discrepancies. One solution is implementing census-driven retail audits. This approach can enhance accuracy and efficiency. Understanding Census-Driven Retail Audits A census-driven retail audit involves counting every item in an inventory. Therefore,… Read More »Census-Driven Retail Audits: Best Practices for Accurate Inventory Management

AI Dominates the agenda at esomar Congress 2025, Prague

Elaine Rodrigo presenting at esomar Congress Ray Poynter, 1 October 2025 The 2025 ESOMAR Congress in Prague was dominated by one theme above all others:, and that theme was artificial intelligence. From the exhibition floor to the presentation sessions and corridor conversations, AI was the connective tissue running through the programme. What had been emerging… Read More »AI Dominates the agenda at esomar Congress 2025, Prague

Synthetic Data: A Lexicon and Taxonomy

Ray Poynter, 22 September 2025 Here is my attempt at an updated Lexicon and Taxonomy for Synthetic Data. I would love to hear your thoughts and suggestions. Synthetic data, according to the ICC/ESOMAR Code, is “Synthetic data means information that has been generated to replicate the characteristics of real-world data.” People sometimes explain the reason… Read More »Synthetic Data: A Lexicon and Taxonomy

ChatGPT’s Agent Mode is another Leap Forward – with risks

Ray Poynter, 24 July 2025 ChatGPT’s new Agent Mode is another major leap forward in how AI is advancing, especially in the field of Agentic computing. It also represents a significantly increased risk level. In this post, I outline what Agent Mode is, the associated risks, and provide a simple example. Overview ChatGPT’s Agent Mode… Read More »ChatGPT’s Agent Mode is another Leap Forward – with risks

Creating a Data Checking Agent

Ray Poynter, 21 July 2025 Agents are one of the key AI developments that is re-shaping the way we conduct business and processes.  An agent is a software tool capable of tackling a task without user supervision. In this post, I will illustrate agents with an example that takes data (for example, from a quantitative… Read More »Creating a Data Checking Agent

Synthetic Data and Significance Tests: Why t-tests are Inappropriate and What to Do Instead

Ray Poynter, 19 June 2025 The statistical trap hiding in synthetic respondentsDiscussions about synthetic data are everywhere. Talking about bolstering hard-to-reach quotas, creating digital twins and replacing whole sections of fieldwork. By design, these records replicate the distributions of your original survey, meaning every synthetic element looks plausible. The problem is that this process duplicates… Read More »Synthetic Data and Significance Tests: Why t-tests are Inappropriate and What to Do Instead

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