Insights & Articles

Deep dives into data continuity, compliance logic, and future tech.

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January 11, 2026 | Data Strategy

The Truth About Data Integrity: Why Your AI Strategy Will Fail

The Fear Of Missing Out (FOMO) on Artificial Intelligence is driving boardrooms to demand “AI Strategies” immediately. But overlaying advanced machine learning algorithms on top of chaotic, duplicate, or incomplete data doesn’t give you insights; it gives you accelerated stupidity. Before you invest in the roof, you must inspect the foundation. That foundation is built […]

December 23, 2025 | Data Strategy

The “Data Silo” Tax: Calculating the Invisible Cost of Disconnected Systems

Your marketing team claims engagement is up 20%. Your sales team says revenue is down 5%. Your finance team is worried about cash flow, but operationally, inventory usage is at an all-time high. Who is right? They all are, but only within their own disconnected reality. This fracture in truth isn’t just a communication issue; […]

February 13, 2025 | Data Strategy

Field Service Management: Scalability is More Than Just Users, It’s Data

Key Takeaways FSM software addresses data synchronization challenges for field teams. Offline capabilities ensure data consistency even with limited connectivity. Scalability in FSM means handling increasing data complexity, not just user numbers. Efficient data replication strategies are crucial for operational continuity. Legacy systems often struggle with the demands of real-time, mobile data management. The Data […]

February 11, 2025 | Data Strategy

Enterprise API Integration: When Mobile Wrappers Fail Field Teams

Key Takeaways Enterprise API integration is crucial for streamlined operations and reduced overhead. Mobile ‘wrapper’ apps often fail to deliver the required performance and reliability for field teams. Offline-first architecture ensures continuous access to critical data, even without a stable connection. A well-designed integration strategy can significantly improve data accuracy and decision-making. Consider a logic-first […]

February 6, 2025 | Data Strategy

Building a Solid Foundation: Data Architecture in Construction Projects

Key Takeaways Poor data hygiene in construction leads to significant cost overruns (10-30% on average). Robust data cleansing and validation are essential, especially in offline environments. A well-designed data architecture is crucial for efficient decision-making and maintaining the Golden Thread of information. Modernising your data infrastructure provides tangible improvements in project execution. Consider auditing your […]

February 2, 2025 | Data Strategy

Taming the Cloud: Database Normalisation for Cost-Effective Infrastructure

Key Takeaways Cloud infrastructure costs are significantly impacted by database design. Database normalisation reduces data redundancy and storage needs. Optimised databases improve application performance and scalability. Well-structured data facilitates better reporting and decision-making. Legacy systems often contain un-normalised data, leading to increased cloud costs. The Cloud Cost Conundrum Cloud infrastructure is the backbone of modern […]

February 1, 2025 | Data Strategy

Securing Mobile Data: A Logic-First Approach

Mobile Data Security: Navigating the Risks of Offline-First Architectures Key Takeaways Offline-first mobile apps store data locally, creating unique security challenges. Granular access controls are crucial for limiting data exposure. Encryption is essential to protect sensitive data at rest and in transit. Data hygiene practices minimise the risk of data breaches. Dendro Logic specialises in […]

January 26, 2025 | Data Strategy

AI vs. Gut Feeling: Structuring Data for Intelligent Decisions in the Field

Key Takeaways Data Hygiene is Paramount: AI accuracy hinges on clean, curated datasets. Garbage in, garbage out. Offline-First Considerations: Limited data access requires optimized AI models and robust local data storage. Gut Feeling’s Limitations: Subjectivity and bias undermine consistent, data-driven decision-making. Automated Decision Trees: Structure chaotic data into actionable logic, reducing reliance on intuition. Legacy […]