ACL Analytics Reviews

Users express that ACL Analytics quickly offsets its cost and proves beneficial through significant time and efficiency improvements. They mention a switch to an annual fee, acknowledging the application helps save power, time, and resources. Return on investment is evident with reduced audit hours from 600 to 200, demonstrating its value in financial operations. Open-source tools like Python aren't required since ACL Analytics effectively justifies ongoing funding.

Pricing for ACL Analytics is now an annual fee, approximately $6,000, including SCA and hybrid functionalities. Companies view it as affordable for the market, despite being more expensive than some competitors. Pricing perceived as justified due to its benefits and features like GRC. Licensing is regarded as expensive relative to local currency devaluations, but the solution provides significant value for the price. Users rate pricing favorably.

• "The price of $5,000 is high, and transferring money from one country to another, particularly in dollars, is challenging due to high exchange rates. Although we managed to purchase it then, the lack of a single license option and the high cost were issues."
• "The pricing for me as an individual seems a lot. For our organization, the price is okay. It's about $6,000 a year. I don't know of any additional costs."

Primary use cases for ACL Analytics include checking for duplicates, performing benefit and fraud detection analysis, and conducting analytics for government audits and business processes. Users frequently employ it for automation, handling large datasets, and combining reports from various systems. There's also significant usage in control testing, integrating ACL Analytics with cloud-based robots to automate data extraction, analysis, and workflow triggers, enhancing efficiency across different business areas.

Customers find ACL Analytics service highly effective and supportive, with efficient technical assistance. They report prompt responses on most issues, although major technical resolutions can take up to eight hours. Some users experience slower response times, leading to mixed ratings. Generally, technical support proves helpful, with a strong community enhancing user experience. However, some regions like Egypt face delays, impacting satisfaction. Users appreciate having their questions and issues addressed adequately by the support team.

Users found ACL Analytics' initial setup to be straightforward and simple, often taking less than five minutes. Deployment typically involved one to two resources with no need for extensive maintenance. Users noted that deployment could be challenging when training wasn't systematic or complex formulas were involved. Organizations highlighted the importance of management support. The setup process included installation, database connectivity, data extraction, and automation. Most users managed deployment easily with basic computer knowledge and proper planning.

Users report a mixed experience with ACL Analytics scalability. Some users, dealing with substantial files, rate it highly, noting its ability to adjust based on user count. Others highlight limitations and potential crashes if thresholds are exceeded. Although several users point out that they have not encountered difficulties, some feel limited by its vendor constraints, impacting their ability to make necessary adjustments. Each company's experience with managing user numbers seems to influence their perception.

Users indicate ACL Analytics maintains a high level of stability, with ratings mostly at or near ten. Occasionally, large query inputs cause minor issues, resolved quickly. Minimal performance disruptions occur, notably during Excel extraction. Downtimes are rare and can be mitigated through secondary node configuration. Users suggest acquiring additional storage for efficient analytics. Time-based system reliance is noted, but ACL Analytics generally performs without significant interruptions or reliability concerns.