Nowadays, if you use managed cloud services to simply manage basic configuration and maintenance tasks, it means missing out on the greatest value that cloud services can offer. Contemporary Managed Services Providers (MSP) don’t only perform tasks that IT departments would normally do, but rather act as drivers to digital transformation and as advisors that enable customers’ success.

Each client has different business goals, parameters, and objectives that require a specific cloud solution. An MSP should work closely with their customers to design an optimal cloud solution and help them prepare for effective migration and implementation, embracing agility and flexibility from the beginning to ensure it is quick and seamless. The consultancy should be highly personalized and adjusted to the customer’s specific demands in order to meet their expectations and tackle their challenges. A cloud migration and integration will ideally be focused on the services that will make an immediate difference to business consumers first and tackle the more complex or supporting services later. With this approach, the client gets premium support while creating a sustainable company IT strategy, risk analysis, platform identification, and cloud-enabled app architecture, determining a total IT cost, and integrating with bespoke and/or on-premise applications, etc. As a result, the client will be able to efficiently evaluate what applications within the on-premises data centers can be replaced with SaaS (Software as a Service), refactored, or rebuilt.

Gartner estimates that by 2022, 90% of the corporate strategies will mention information as a critical enterprise asset, and analytics as an essential competency. Creating a selling strategy based on analyzing customers’ social behavior is one of the best examples of using big data. However, there are endless opportunities for the utilization of data analytics, and they can vary depending on the business needs and the area of technology. For example, applying predictive maintenance in production and manufacturing could increase quality significantly.

Data and analytics (D&A) are the key enablers of digitalization, transformation, and continuous improvement in digital business and society. As a result, data analytics providers will have a huge impact on customers’ corporate strategy and value, change management, and performance. In order to be effective, a good understanding of both the data sources and data quality is an essential prerequisite. Once understood, the most appropriate analysis methods can be defined and created, incorporating continuous intelligence and using real-time data from different sources such as transactions, media, various logs, and sensors. Converting this wealth of unstructured data into usable reports and dashboards offers endless opportunities for improved processes and business decisions.

IT Labs as a Managed Services Provider can offer its expertise in creating a strategic IT approach to resolve specific business challenges that a client might face. We proactively work with our clients to identify the opportunities where big data and data analytics can create tangible business value, and we offer support to implement either market services or custom-built analytics solutions.

IT Labs goes beyond providing services that include automation, efficiency, optimization, and control. We want to inspire and implement agility, innovation, and scalability to create an environment in which clients’ IT team can focus on strategic initiatives within their industry.