Enterprise Guides and Playbooks
Practitioner-written guides for Data Engineering, AI, Microsoft Platform, and technology talent strategy. Every guide is designed to make you smarter about a problem you already have — whether you work with Xylity or not.
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80% standalone value. Zero fluff. Written by practitioners who've done the work.
The Data Readiness Assessment: 8 Dimensions Every CDO Should Evaluate
Before your AI initiative, before your Fabric migration, before your data platform modernization — assess readiness across 8 dimensions: data quality, governance, architecture, skills, culture, leadership, technology, and ROI. Includes scoring rubric and action plan template.
Microsoft Fabric Migration Playbook: Assessment to Production
The complete migration playbook from legacy data platforms (Synapse, SQL Server, SSIS) to Microsoft Fabric. Covers assessment methodology, architecture design, medallion implementation, migration execution, and validation. Based on 10+ enterprise Fabric migrations.
Enterprise AI Strategy Framework: From Pilot to Production
The framework for moving AI from experimentation to enterprise-scale production. Covers use case prioritization, data requirements, MLOps maturity, governance, and the organizational model. Includes: ROI calculator, readiness scorecard, and 12-month roadmap template.
The IT Services Delivery Partner Evaluation Checklist
How IT services companies should evaluate technology talent partners — beyond price. 25-point checklist covering: matching methodology, speed metrics, domain depth, delivery support, network quality, and commercial terms. Use this before your next partner conversation.
Cloud Platform Selection: Azure vs AWS vs GCP Decision Framework
The honest comparison framework — not vendor marketing. Covers: workload-specific recommendations, ecosystem fit assessment, total cost of ownership analysis, migration complexity scoring, and the multi-cloud decision. Includes TCO calculator spreadsheet.
Power BI Governance Playbook: From Chaos to Certified Datasets
The governance framework that enables self-service BI without sacrificing data trust. Covers: workspace strategy, certified datasets, row-level security, naming conventions, content lifecycle, and the BI Center of Excellence model. Based on 1,000+ user deployments.
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