Expert support and advice for powerful tools
Available for engagements of any size, Converging Data calls upon a team of Splunk Accredited Consultants to help you deploy and manage this powerful software quickly and effectively, without the need for in-house expertise and resource.
Driving value from your Splunk license from Day One
We start by consulting on your current and future requirements, in order to create a customised implementation plan and data collection strategy to provide for optimal functionality. This includes detailed configuration, data onboarding and platform architecture.
Next, we’ll work with you to identify the highest priority and far-reaching use cases and ensure that the data required to deliver against these is being accurately ingested into Splunk.
Finally, we deliver a dependable data analytics capability and will work with your team to create custom applications, dashboards, reports and alerts.
Crucially, we can also work to strengthen your internal capabilities to continue to realise value from your operational Splunk platform, through engagement, training and knowledge transfer.
In-house development support for Splunk
– without the search, without the cost
Converging Data is well-placed to know that access to great development resource for Splunk is hard to come by – we have taken the best for ourselves.
We take the strain out of hunting for it by providing our customers with access to high-performing developers at a modest minimum outlay. On a monthly subscription basis, we can provide development resource – even at short notice.
Flexible resource options to suit your business needs
Once your data is on-board and you have provided us with access, we allocate Splunk development resource in four-hour blocks to provide a broad range of support to suit the varying needs of your organisation. Example applications of Converging Data Splunk development support include:
- Creation of new dashboards, reports, applications or alerts.
- Optimising searches for improved performance.
- Advice on additional data requirements and the most appropriate data models.
- Injecting creativity into your reporting.
- Investigating the use of new data sources.