London, UK – Ascent today announced it has earned the Analytics on Microsoft Azure Specialisation, a validation of a partner’s capability in planning and delivering tailored analytics solutions, following Microsoft and industry best practices.
The Analytics on Microsoft Azure Specialisation can only be earned by partners that meet stringent criteria around customer success and staff skilling, as well as pass a third-party audit of their analytics planning and deployment practices.
More businesses recognize the value of effective data and analytics strategies but struggle to implement them. Partners with proven experience delivering customised Microsoft analytics solutions using Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and Azure Databricks are well-positioned to capture this market opportunity.
These partners can help customers better integrate endlessly scalable analytics platforms into their businesses to quickly capture insights from all their data across data warehouses and big data analytics systems.
Henry Brown, Chief Data Officer at Ascent, is delighted with the outcome. “The Analytics on Microsoft Azure specialisation recognises the hard work our data and analytics teams have put in the last few years as we have helped organisations across a range of sectors really drive value out of their data assets that delivers bottom line impact.”
We’re very proud to add this specialisation to our increasingly long list of Microsoft Solution Partner achievements as testament to our deep capability across machine learning, business intelligence, data science and artificial intelligence.
Andrew Smith, General Manager, Partner Program Management at Microsoft added, “The Analytics on Microsoft Azure Specialisation highlights the partners who can be viewed as most capable when it comes to building transformative and secure analytics solutions on Azure. Ascent clearly demonstrated that they have both the skills and the experience to help our customers harness the power of insight and transform their businesses in a scalable, secure, and cost-effective way.”
