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Solv offers flexible partnership models designed to meet your organisation's unique needs - choose the approach that fits.
Work directly with our team on a clearly scoped engagement - the fastest route to Solv expertise, focused on a single project or objective.
We act as a contractor, representing your brand while working behind the scenes. Our team integrates seamlessly with yours, letting you leverage our skills without compromising your brand identity - every interaction reflects your company's values and objectives.
We collaborate with your stakeholders and staff under the Solv banner, bringing our expertise and methodologies directly to your organisation. We lead the project, ensuring alignment with our best practices and strategies.
Make use of both for maximum flexibility, letting you choose the approach that best fits your business needs - tailoring every engagement to your branding and goals.
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Power Automate and Azure Logic Apps share connector DNA and split by audience: maker automation in the business versus integration engineering in IT. How to choose, and when estates rightly run both.
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Retail runs on high-volume, fast-moving data: sales, stock, e-commerce, footfall. How Fabric's lakehouse, real-time and AI layers map to retail's actual problems, and where the value lands first.
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Power Automate and Azure Logic Apps share connector DNA and split by audience: maker automation in the business versus integration engineering in IT. How to choose, and when estates rightly run both.
Every Power Platform solution stands on a data choice, and lists-versus-Dataverse is where most go wrong. What each is actually for, the limits that bite, and a decision rule that prevents rebuilds.
Retail runs on high-volume, fast-moving data: sales, stock, e-commerce, footfall. How Fabric's lakehouse, real-time and AI layers map to retail's actual problems, and where the value lands first.
Healthcare data is sensitive, siloed and scrutinised - and the sector needs analytics more than most. How Fabric fits clinical and operational data, compliance first.
Most data strategies are shelfware: fifty slides, no owners, no sequence. The version that works: decisions to improve, foundations to fix, a platform bet, a quarterly sequence.
Snowflake and Databricks converged from opposite directions: SQL warehousing versus Spark engineering. Where each wins in 2026, and the Microsoft angle both sides omit.
Power Automate and Azure Logic Apps share connector DNA and split by audience: maker automation in the business versus integration engineering in IT. How to choose, and when estates rightly run both.
Every Power Platform solution stands on a data choice, and lists-versus-Dataverse is where most go wrong. What each is actually for, the limits that bite, and a decision rule that prevents rebuilds.
Retail runs on high-volume, fast-moving data: sales, stock, e-commerce, footfall. How Fabric's lakehouse, real-time and AI layers map to retail's actual problems, and where the value lands first.
Healthcare data is sensitive, siloed and scrutinised - and the sector needs analytics more than most. How Fabric fits clinical and operational data, compliance first.
Most data strategies are shelfware: fifty slides, no owners, no sequence. The version that works: decisions to improve, foundations to fix, a platform bet, a quarterly sequence.
Snowflake and Databricks converged from opposite directions: SQL warehousing versus Spark engineering. Where each wins in 2026, and the Microsoft angle both sides omit.
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