ACL Robotics Challenge Series

Regarding your excellent points about command line/graphical, I don’t agree with you. Except that low code allows people who really don’t know what they are doing to do bad work faster. Personally, I don’t expect everyone to have my skills, but they should understand the basics and grow that understanding over time. I don’t think the best future is people selecting dropdowns and options, as I’ve found they don’t typically understand what the output is and whether it is accurate or even close. Yes, low code allows some people to do great work, and there’s a place for that. But I’ve seen too much “oh, all you have to do is press a button” work that’s worthless.

It goes beyond any simple analytic solution or BI technology. ACL Robotics runs your data access, reporting, and remediation tasks from beginning to end. It reduces the number of tools you need, provides data in real time, and frees up your time so you can focus on delivering insight that will have the greatest impact. Robotics can be applied to diverse processes and risk areas.

ACL’s November 2018 Release also presents both new and improved features like assurance planning and project scheduling, amongst other capabilities that make collaboration in large teams easier. Create a robot to help you monitor employee overtime, annual salary increases, payroll management, and much more. Hear a real customer story about how they automated their payroll analysis process, and the best way to painlessly and professionally present your findings to stakeholders. Learn about our new script repository and version control features, as well as how to leverage external and internal cloud data access. We will show you how to connect from external data sources to bring data into ACL Analytics, rather than manual exports and imports that can quickly become outdated.

Download the version of the scripts that you want to work with. Ensures that you do not lose any of your scripting work, and allows you to easily access older versions, if necessary. Generate real-time KPIs, KRIs, and other key metrics so that your organization can respond quickly to risks and opportunities. Apply machine learning to drive prescriptive and predictive analytics that help uncover answers to questions you never thought to ask. free warzone thumbnail optimizes the way governance professionals work by automating time-intensive and repetitive—but critical—processes. A robot puts flagged records in front of you for review and remediation—your knowledge is still critical to make key decisions on thresholds or anomalies.

We are maintaining our ACL scripted processes (10+), but are moving new analyses and automation to Power BI or Python, and will probably use ACL for the adhoc stuff. ACL slows way down on around 5-7 million records , although I have loaded a 120 million record, 10 column table and analyzed it. I can’t speak for ACL’s current architecture, but we are not typically text-based. We do read text-based data, but then we read pretty much any other data as well.

But I probably never will because my mgmt already wants to move on to tools used by others in the company. The last thing they want is another one-off tool that only audit uses. It’s hard to disagree with that, as using those tools increase our understanding of the business systems we audit. CCA is an on-going effort to detect controls issues in an organization. Internal controls are designed and implemented by management to prevent fraud, promote regulatory compliance and ensure an acceptable level of business risk is not exceeded.

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