Practical resources for data, cloud and automation decisions.
Explore guides, checklists and templates designed to help business and technology teams modernize reporting, automate infrastructure, structure workflows and prepare operations for AI-assisted decision-making.
These resources are built from the topics Datilog works on every day: Business Intelligence, ETL, cloud infrastructure automation, workflow automation, custom internal tools and operational intelligence.
Featured resources
Start with the resource that matches your current priority.
Use these resources to prepare a project, structure internal requirements, evaluate readiness or clarify what needs to be automated first.
Data, Cloud & AI Transformation Whitepaper
A strategic guide for leaders modernizing reporting, cloud infrastructure, automation workflows and AI-ready data platforms.
Open resourceCloud Infrastructure Automation Readiness Checklist
Assess whether your cloud environments, delivery practices and governance are ready for infrastructure automation.
Open resourceWorkflow Automation Opportunity Checklist
Identify manual processes that should become automated workflows, internal tools or connected operational systems.
Open resourceBI Requirements Template
Structure business requirements for dashboards, KPIs, data sources, refresh rules and reporting governance.
Open resourceETL Mapping Template
Document source systems, transformation rules, target fields, ownership and validation checks for ETL and ELT projects.
Open resourceResource types
From strategic guidance to practical project preparation.
Checklists
Use structured checklists to evaluate readiness, prioritize initiatives and prepare internal discussions before launching a data, cloud or automation project.
ExploreTemplates
Start projects with reusable structures for BI requirements, ETL mapping, workflow scoping and cloud automation roadmaps.
ExploreWhitepapers
Go deeper into transformation topics that connect business strategy, technical architecture, operating models and execution priorities.
ExploreTopics covered
Built around the operational problems Datilog solves.
Each resource is designed to connect business needs with technical execution: what to automate, what to measure, what data to structure and what systems need to be governed.