Gimmal Blog

Read the latest thought leadership and industry news from the experts at Gimmal!

All Posts

Robotic Process Automation: Powering Intelligent Records Management

It's amazing what is being done today with robotic process automation (RPA) tools. Once confined to rote processes that were easy to automate due to the repetitive nature of the work, RPA is now tackling more complex business processes and activities. This evolution allows “knowledge workers” to spend more time focusing on actual knowledge work such as critical thinking and real problem solving – one of the key benefits of implementing an intelligent records management program.

When you think about the problem of runaway data growth that plagues most enterprises today, the first thoughts are typically overwhelming: that these information governance problems are not solvable, that effective solutions are too expensive, and so on. Efforts to manage runaway data are usually stalled by the first question organizations ask themselves when getting started: “where do we begin?”

The enormity of this task can rob enterprises of the opportunity to build a day-forward strategy for truly effective records management. Organizations need to get in front of the problem and then take a more moderated and time-based approach to dealing with the avalanche of previously created (and ever-growing) data.

This is where the proper strategy, coupled with the right choice of automated processes, can achieve real results that are cost effective, don’t require an army of resources, and ultimately improve the quality, accessibility, and usability of your information assets. We will save strategy for the next part of this series. First, let’s take a look at how automation can help.

Applying layers of intelligence to process automation

First, imagine if there were a way to continuously "look" at all of the unstructured data you manage and make this information a little smarter. This is an iterative exercise where "robots" have a particular job. Assume that we need five layers of intelligence, each addressing different levels of abstraction and different types of information, added to unstructured information to make it more valuable, findable, and usable.

Tasking one robot or automated process to handle this whole task is not feasible as competing priorities and complex situations would make the logic far too complex to maintain. The separation of concerns is an important principle in any information architecture or IT initiative, because the more problems you try to solve with a single process, the less effective that process will be. By separating the generated knowledge into multiple layers, your system will be able to compare that information and prioritize these goals without introducing ambiguity.

Second, as each process adds layers of intelligence, it also starts to make decisions (or at least suggestions) regarding how that information is managed and where it should be stored. Most enterprises have an idea of where they would like the majority of unstructured information to live, but struggle with making that movement happen without intervention. But there will always be unique situations that process automation cannot yet address.

Exceptions: a job for humans

This is where humans, specifically records managers, factor in. To solve for unique exceptions, each layer discards records that do not fit into typical automated processes into queues that require human intervention. This, perhaps, is the most complex function needed for intelligent records management, as defining the number of different exception queue criteria is important.

Concepts that can drive these exceptions include guessing the most likely content owner, the relative value of content, and data type. In determining the relative value of a record, an organization can assess the date the file was last accessed. Where data type is concerned, audio or visual media may need a different level of attention than more easily indexed content such as Word documents.

Even in RPA, technology does not stand alone

RPA, and automation in general, is the path forward to solving the runaway data management challenge faced by most enterprises today. However, like all technology-based solutions, this is not about just technology, but also the people and process that will yield better results. The next part of this series will address the people and process elements as part of a broader discussion of strategy.

New Call-to-action

Related Posts

We're headed to Vegas for SharePoint Conference 2019!

We're excited for this year's SharePoint Conference, which will be held next week in Las Vegas, Nevada. We'll be at booth #308 helping IT professionals understand how all the unique components of an information management strategy should fit together. Come by and create your ideal Lego information manager at our booth!

How to Migrate Your SAP Database to SAP HANA

I have spoken before about the parallels of the transition of the SAP Application Database to SAP HANA and the gorgeous and dangerous road to Hana in Maui. The actual road to Hana is listed as last on’s list of “Five most dangerous roads in the world,” but it still made the list! The hairpin turns and the drop-offs are part of the reason, although another large part is the ability to get distracted by the views.

Come to ARMA Houston's 2019 Spring Conference and learn the keys to cloud success!

Gimmal is proud to be exhibiting at ARMA Houston's 2019 Spring Conference. This year, we're empowering records managers with the keys to successful information management in the cloud.