Software and SaaS development
Digital products that solve, scale and evolve.
Insights
Guides, analysis and lessons on product, artificial intelligence, growth, communications and cloud.
Editorial themes
Digital products that solve, scale and evolve.
AI systems for real-world processes.
Demand, catalogue, partners and conversion.
Every conversation in the right channel.
Available, observable and ready services.
Set rules for detecting duplicate customers, deciding which records to merge, and protecting useful data through confidence levels, human review, and traceability.
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A practical framework for choosing, preserving, and reconciling identifiers across CRM, ERP, ecommerce, and custom applications without confusing entities.
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Choosing when to reserve inventory prevents overselling and inventory lockups. This framework helps define timing, expiration periods, priorities, and operational controls.
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Decide which systems should create, read, and update data to choose synchronization that is secure, manageable, and aligned with each process.
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A practical framework for deciding which data travels in an event, which data is retrieved later, and how to avoid dependencies, stale data, and security risks.
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Choose between real-time and batch integration based on the cost of delay, volume, available recovery options, and operational capacity.
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A practical framework for assigning authority to each data point, reducing conflicts between systems, and designing traceable, sustainable integrations.
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Design maintainable product comparisons with normalized attributes, traceable sources, coverage rules, and clear limits to support better decisions.
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Design verifiable attribution rules, conversion statuses, and evidence to settle affiliate commissions with fewer disputes.
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Design a preference center that turns every choice into verifiable rules by channel, purpose, frequency, and sending system.
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Design an order reconciliation process to compare sales, payment, delivery, and customer service, resolve issues, and prevent discrepancies.
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