Data analytics is more relevant in today’s business than ever, but traditional data warehouse platforms are evolving. The demands placed on analytics platforms are to provide both the traditional, structured, standardised BI and to support new ways of analysing data based on agility, supporting rapid change and semi/unstructured data.

Alongside this the use of Machine Learning and AI was once a niche area but has rapidly shown value in more traditional businesses. Ever more businesses are looking to flexible and adaptable cloud-based platforms to deliver services to support this new form of advanced analytics, with increasing levels of demand.


One of the market leaders in this space is Microsoft with their Azure Cloud service offering along with their established BI capabilities based on SQL Server. They offer an ever-evolving range of technologies that support these flexible requirements, including a host of storage, data ingestion and analytics technologies.

However, many of these technologies are still emerging and all are constantly evolving, with the data analytics capability of Azure and SQL Server also slowly converging. In fact, the breadth of technology to deliver a modern data analytics platform can be surprising. And it’s not just the technology that is changing.

With the expanding data landscape, the demand for data analytics is only growing. Alongside a need to be able to adapt rapidly, for businesses that are looking to harness the potential. All these elements intensify the challenge to not only secure and operate such a platform but to also evolve it for full exploitation and competitive advantage.


The Adatis managed service is built on a foundation of DevOps practices and ITIL aligned service management customised to the needs of cloud and data analytics platforms. We’ve distilled the Service Operation down to 4 elements:

  • Transition & Deploy – Regular release cycle transition into service including knowledge transfer and deployments. Ensuring an effective service from the start and provide feedback on the supportability of the solution
  • Operate – Comprehensive operational management including, reactive support, user data & configuration requests.
  • Monitor – Solution monitoring including availability, data processing and reconciliation, Azure consumption and performance.
  • Evolve – Continual improvement & small works such as analytics managed in parallel to the development cycle which may then focus on data acquisition.

Our service plans provide guidance on the complete catalogue of services we deliver.

  • ESSENTIAL – The assurance of a Managed Service that will respond on demand
  • ESTABLISHED – a proactive Managed Service with monitoring to respond first
  • ENTERPRISE – A Managed Service for critical systems with the option to scale 24|7

These ensure the service we provide also evolves with your business and platform. Each plan can be customised with several add-on services based on a flexible Call-Off Unit approach. In addition, Service Plan Packages can be configured to incorporate Microsoft Cloud Solution Provider (CSP) services including Azure, Office 365 & Power BI provisioning and management.

Our Service.

Adatis provides a specialist and modern Managed Service focused on the efficient operation and effective evolution of your cloud and data analytics platform. The dedicated Adatis Managed Services team integrated across the UK and Bulgaria are experts in the Microsoft SQL Server BI capabilities, Power BI, and Azure Data Platform covering both Data Analytics and Cloud Infrastructure & security.

The comprehensive Managed Service is a tailored service, designed, transitioned and operated based on need. Including proactive monitoring & maintenance, 24|7 Service Desk and operations for those critical applications.

A commitment to continual improvement, consideration of supportability at every step and adoption of DevOps methods ensure the service evolves with your operation and business to maximise value.