Knowledge hub
The enterprise IT buying guide
Plain-English guides to the platforms, tools and engagement models you'll meet when buying IT services: what each one is, where it fits, how long projects take and what to ask a vendor.
- guides
- 53
- areas
- 10
- last updated
- Oct 2026
Start here
How the enterprise IT stack fits together
Applications run the business, integration connects them, data turns activity into insight, AI works across all of it and the cloud runs underneath. People build and run every layer. Pick a layer to explore.
Across the stack
AI for the enterprise
Works across apps and data
Business applications
Infrastructure
Cloud
Runs everything underneath
Browse by area
Ten areas, explained simply
Each area opens with the big picture, an explainer and a glossary, then one guide per platform or model.
- 4 guides
Cloud
AWS, Azure, Google Cloud and the containers that run on them.
- AWS
- Azure
- Google Cloud
- Kubernetes
- 4 guides
Middleware & integration
MuleSoft, Boomi, Kafka and Azure Integration Services.
- MuleSoft
- Boomi
- Kafka
- Azure Integration
- 5 guides
Data engineering
Databricks, Snowflake, BigQuery, dbt and Airflow.
- Databricks
- Snowflake
- BigQuery
- dbt
- +1 more
- 4 guides
Data analytics & BI
Power BI, Tableau, Looker and Qlik.
- Power BI
- Tableau
- Looker
- Qlik
- 4 guides
ERP
SAP S/4HANA, Oracle Fusion, NetSuite and Workday.
- SAP S/4HANA
- Oracle Fusion
- NetSuite
- Workday
- 4 guides
SaaS & enterprise platforms
ServiceNow, Salesforce, HubSpot and Atlassian.
- ServiceNow
- Salesforce
- HubSpot
- Jira & Confluence
- 5 guides
Custom enterprise apps
.NET, Java, React and Node.js, mobile and low-code.
- .NET
- Java & Spring
- React & Node.js
- Mobile apps
- +1 more
- 14 guides
Microsoft business solutions
Azure, Copilot, Fabric, Power Apps, Power Automate, Power BI, Dynamics 365, Microsoft 365 and more.
- Copilot
- Copilot Studio
- Fabric
- Power Apps
- +10 more
- 6 guides
AI for the enterprise
Generative AI, knowledge assistants, agents, machine learning, document AI and governance.
- Generative AI
- Knowledge assistants
- AI agents
- Machine learning
- +2 more
- 6 guides
IT staffing & engagement models
Staff augmentation, dedicated teams, fixed-scope projects, managed services and where the team sits.
- Staff augmentation
- Dedicated teams
- Fixed scope
- Managed services
- +2 more
Plan around it
The SaaS release calendar
Big SaaS platforms upgrade every customer on a fixed schedule. Keep go-lives out of release months and use the preview window for regression testing.
- Release lands
- Preview & testing
- Clear window
| Platform | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | OctNow | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SalesforceSpring, Summer and Winter releases | Preview & testing | Release lands | Clear window | Clear window | Preview & testing | Release lands | Clear window | Clear window | Preview & testing | Release lands | Clear window | Clear window |
| Dynamics 365 & Power PlatformRelease waves 1 and 2 | Clear window | Preview & testing | Preview & testing | Release lands | Clear window | Clear window | Clear window | Preview & testing | Preview & testing | Release lands | Clear window | Clear window |
| ServiceNowTwo family releases | Clear window | Preview & testing | Release lands | Clear window | Clear window | Clear window | Clear window | Preview & testing | Release lands | Clear window | Clear window | Clear window |
| WorkdayTwo feature releases | Clear window | Preview & testing | Release lands | Clear window | Clear window | Clear window | Clear window | Preview & testing | Release lands | Clear window | Clear window | Clear window |
| SAP S/4HANA Cloud, public editionTwo releases a year | Preview & testing | Release lands | Clear window | Clear window | Clear window | Clear window | Preview & testing | Release lands | Clear window | Clear window | Clear window | Clear window |
Months are approximate and move a little each year. Confirm dates in each vendor's release notes.
Buying essentials
Four steps before you sign
Start from the outcome
Write down the business result you need and how you'll measure it before you name a tool. Vendors propose better when they know the goal.
Choose how you'll engage
Fixed scope, dedicated team, staff augmentation or managed service. The model decides who carries the risk.
Check credentials and references
Ask for partner tier, certified headcount, and two references with a similar scope, industry and size.
Start small, then scale
A paid discovery or pilot of two to eight weeks shows fit, quality and hidden costs before a multi-year commitment.
Ready to talk to vendors?
Browse IT service companies with sourced, labelled facts, or describe your project and let AI write the scope.
