ACL Analytics Reviews

ACL Analytics quickly recoups costs, as users often recover expenses with a single project. Some experience enhanced efficiency and significant reduction in audit hours, needing only 200 of the initially budgeted 600. The application supports uninterrupted funding by delivering time and resource savings, even making alternatives like Python unnecessary. Although quantifying financial impact is challenging, ACL Analytics consistently proves its worth by optimizing energy and time, benefiting operations without the necessity of open-source tools.

ACL Analytics adopts an annual pricing model, costing approximately $6,000 annually, covering both SCA and hybrid functionalities without extra fees. While some find it reasonable, others note it's expensive compared to alternatives like IDEA, though justified by its features. Organizations find the cost acceptable, highlighting its affordability against market standards, despite higher premiums. Currency fluctuations affect pricing perceptions, impacting affordability in regions like Egypt.

• "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."

ACL Analytics is primarily utilized for data analytics, automation, and fraud detection. Users employ it for tasks such as checking duplicates, conducting audits on large datasets, and analyzing system data. It aids in control testing across various business areas like procurement and HR. Integration with robots for automation and workflows is common, enhancing functions with scripting capabilities. It's used by external auditors to analyze reports from multiple systems and select samples for testing.

Customer service and support of ACL Analytics receive positive remarks for responsiveness and helpfulness. Several sources note efficient and effective solutions. Major technical resolutions can take six to eight hours, while minor issues are promptly addressed. Some express concerns about occasional slow response times and inactive local support in Egypt. Community support is highlighted as a strong point, aiding learners. Ratings generally reflect satisfaction with some suggestions for quicker responses.

Many users describe the initial setup of ACL Analytics as quick and straightforward. It involves downloading and possibly using an Excel add-in. Installation can be done in minutes, often taking one to two people. Users note the importance of management's willingness and proper planning. While basic use is easy, complex formulas present challenges. When deployed and maintained with IT support, it generally runs smoothly, with some users managing tasks like database connectivity and automation.

Users report mixed experiences with ACL Analytics scalability. Some encounter no issues and appreciate its adaptability to varying user numbers, while others highlight potential system limits that might lead to crashing if exceeded. Some find it extremely scalable, rating it highly, yet others wish for more customization capabilities. Generally, user numbers affect scaling ease, and both those with multiple users and single users often find it suitable for large files without significant difficulties.

Users express high satisfaction with ACL Analytics stability. They rarely encounter issues, rating its stability highly. Some mention occasional minor problems, like lag or crashes due to large queries, but these are resolved quickly. There is a backup option with secondary nodes to maintain performance. Few experience minor downtime but attribute it to needing more storage. Generally, they report minimal disruptions and appreciate the application's reliable performance.