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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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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Navigating Black Friday Challenges: Revolutionising Retail with Data-Driven Solutions

As the buzz around Black Friday intensifies, retailers are gearing up for a pivotal day in their sales calendar. Amidst the excitement, they also grapple with various challenges that demand innovative solutions. One such game-changing solution is the Power BI integration, which offers benefits beyond real-time visibility and scalability. In this article, we’ll explore some

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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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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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Retailers, Unlock the AI Goldmine for Your Marketing & Sales

Retailers, Unlock the AI Goldmine for Your Marketing & Sales

Guest article from Arreoblue which appeared in Retail news.ai on 2nd October: In an increasingly digital world, retailers face pressures from online/offline competitors and digital transformation. However, the foundation of impactful AI solutions is high-quality, relevant data. Tapping into AI’s potential can provide the key edge. But how? Elevating Retail with Data-Driven AI: Unleashing the

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Time to value

Time to Value: How should a company define value in data projects?

How do you define value in data projects? In scenarios where data is used to drive clear outcomes this is relatively easy to quantify. For example, an algorithm that predicts the optimal route for deliveries can be compared to the control option and its relatively simple to understand the cost benefit.   Analytics solutions can

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