data

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Welcome to the Arreoblue Data Podcast – What makes a good data strategy

Welcome to the second instalment of the Arreoblue Data Podcast. Join your host Gus Frazer as he delves into the world of Data and AI.   In this episode, Gus is joined by Arreoblue’s Field Chief Data Officer, Rob McKendrick, as they discuss the following topics: What makes a bad data strategy What does a […]

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demand forecasting versus sales forecasting

Demystifying Demand Forecasting in the Modern Data + AI Platform

In the current era of advanced Data Lakes and AI, businesses have unprecedented access to vast amounts of sales and product data. However, the process of predicting demand is more intricate than it appears. A common misconception is equating Demand Forecasting with Sales Forecasting. In this article, we will explore the complexities of Demand Forecasting

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The value of starting small and focused rather than trying to boil the ocean

The value of starting small and focused rather than trying to boil the ocean

When it comes to data projects, it is crucial to start small and remain focused. Trust us; we would know. This approach aligns with the principles of the Microsoft Agile methodology. Emphasising regular releases and frequent testing—a practice equally vital in the Data Landscape as it is in Technology or Business.   Data Complexity Data,

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Welcome to the Arreoblue Data Podcast – Industry Trends in Data & Analytics

Welcome to the first instalment of the Arreoblue Data Podcast. Join your host Gus Frazer as he delves into the world of Data and AI. In this episode, Gus is joined by Arreoblue’s CEO, Stephen Crisp, as they discuss the following topics: Stephen’s background and expertise in Retail The current state of the Retail Data

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Exploring the Benefits of Lakehouse Architectures – Should You Build a Lakehouse?

The world of data solutions has seen remarkable growth over the past few years, particularly with the rise of Lakehouse architectures. These innovative solutions combine the maturity of traditional data warehouses with the flexibility and versatility of modern data lakes. The result is a powerful, cost-effective solution that is driving the rapid expansion of modern

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Mastering Data Journeys: Explore Federated, Centralised, and Chaotic Topologies

Mastering Data Journeys: Explore Federated, Centralised, and Chaotic Topologies

In today’s digital landscape, data stands as the cornerstone of businesses and organisations, steering decision-making, fuelling operational efficiency, and ultimately determining the success of these entities. With a continuously expanding volume of data being generated and managed, establishing an organised and easily accessible data management system is paramount. From data entry and analysis to storage

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AI in Accountancy

Navigating the AI Revolution in the Accountancy Sector: Lesson 1: AI Requires a Vast Amount of Data (or does it)?

Thanks for joining us for part 2 of this 8 part blog series on AI for Accountancy firms.    Read blog 1 – Navigating the AI Revolution in The Accountancy Sector    Imagine Artificial Intelligence (AI) as a powerful engine and data as the fuel that makes it run smoothly. In today’s world, we have

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Crafting a Living Data Strategy- A Blueprint for Success in the Digital Age

Crafting a Living Data Strategy: A Blueprint for Success in the Digital Age

In today’s fast-changing corporate landscape, globalisation and virtualisation are reshaping the business world. Consequently, digital transformation and disruption have become critical priorities in boardroom agendas. Companies require innovative business solutions that enhance operational efficiency and improve customer engagement to stay competitive with digital-first organisations, regulatory bodies, and tech-savvy customers. It is essential to have a

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AI in Accountancy

Navigating the AI Revolution in the Accountancy Sector

INTRODUCTION TO AI   In the realm of data analytics and Artificial Intelligence (AI), the insights of Hans Moravec are becoming increasingly important. AI is like a rising tide, steadily gaining strength and challenging more and more capabilities.    What’s fascinating is that AI has the potential to disrupt a wide range of employment, regardless of

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