Trends in Automating Data Processing
September is always a fun time at Rampiva, because many of our best and major product releases happen at this time. We got our first client in September 2018—our full Automate product launched in 2019—and, believe me, we’ve got some fun stuff coming out before the end of the month.
As we push forward into new areas of data processing, investigations, and automation, we are also reflecting on what’s different today. With that in mind, here are some trends we’re seeing today in automating data processing:
- Workflow, Workflow, Workflow. Many people will tell you that data processing is “commodified”, but we have a front row seat in exactly how teams are processing data, and… wow. Sure, some companies are settling for “get what you pay for” processing—our clients are doing the opposite, and investing time, effort, and expertise into new and innovative ways to maximize performance, quality, and insight.
Our basic “example” Workflow for loading, deduplicating, searching, culling, and exporting data is about 20 steps. Some of our clients have workflows with over 100 steps.
If you’re not doing that work, you’ve got to wonder why your competition is.
- Putting the Dashing in Dashboards. Our metrics program started with one goal in mind…make it easy for our clients to show their bosses that Rampiva was driving value. Particularly as we engage with corporate law departments, the importance of comprehensive real-time metrics has never been higher. Whether you’re attributing consumption, triggering conditional new activity, or forecasting new spend, detailed metrics stopped being nice-to-have and starting to be the unexpected start for enterprise clients.
- Connectors. The moment you’ve automated processing operations within a job, you start looking to automate the resource management behind the scenes.
Then, you start looking upstream and downstream. What triggers a job, and how do we make that process run as smooth and as fast as possible? How do we get data to more and more targeted review teams, and notify them with real time instructions then take action on their findings?
How do we connect the power of advanced data processing with the broader enterprise, Microsoft Power Apps, eBilling Systems, and more?
- Access Controls. Many clients don’t ask for this. But then they see it and realize they need it.
Given the sensitivity of the data being processed, the global nature of response teams, and the matrix of use cases that can trigger a processing job, it is very important that some people are able to work with the data without actually being able to put eyes on the full content. Or, that some team members have limited access to customize search terms.
Our favorite is always “there’s one person on our team who always checks out all of the workers and no one else can do anything.” Maybe that guy only gets to check out 4 cores…
- Partnerships. We’ve shared on a regular basis about how important our partnership with Nuix is—but this year other partnerships have come on board in a big way. Arina, George Jon, HexaData… service provider partners looking to deploy Rampiva behind the firewall for clients.
Automation makes expertise scalable. Access to the best of those experts—be it architecture, workflow, use case, or administrative—drives vision, accelerates positive change, and gives our clients the confidence to dream big and go fast.
Are you seeing similar trends? Are there other trends you are seeing? Tag us on LinkedIn or Twitter and share your thoughts with us.