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IT Operations




We help customers organize their IT operations data to better see the big picture of what's happening in their IT environment, make better decisions and finally take control of IT.

​IT Operations Analytics (ITOA) is an approach to IT operations data that allows you to understand and make more informed decisions about your IT environment. ITOA applies Big Data and AIOps principles to your IT environment so you have a broader context - and clearer operational intelligence - about what's happening in your organization. 


Why Does ITOA Matter?

Each technology in IT environments gives specific information: how database systems are running, how much traffic is flowing over switches, and what user experience is like. Without IT Operations Analytics, it's hard and time consuming to gather data from all of those different technology silos and correlate them to get a complete view of what's happening across IT environments.


What is the Outcome of Efficient ITOA​:

  • Problems are fixed faster

  • Downtime is reduced

  • Over-provisioning or unnecessary spending is avoided

  • Informed decisions can be made about the best way to configure IT environments and collaborate as a team

We work with several ITOA platforms and can therefore advise you of the solution best suited to achieve your goals. We deliver our ITOA solutions based on vendors like Elastic and Splunk. When customers already have existing ITOA solution, we advise on how best to utilize, integrate and build on what they already have.

Examples of areas we can assist with:

  • Maturity assessment - understand the current status and provide maturity level report

  • Discovery and roadmap - blueprint the requirements with the stakeholders

  • Design, implementation and custom development

  • Training

  • Health check

  • Product maintenance support

  • 24/7 IT Monitoring Platform Managed Service

  • 24/7 Outsourced SysOps/NOC Support

  • Capacity planning and cost optimisation - Save up to 50% after first optimisation review. Get recommendations to reduce operational costs, maintenance costs and maintain better data quality and uptime.



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