Powerful, efficient solutions for migrating data, data quality, data access and integration.
Easily examine large volumes of transactional data in order to detect and deter corporate fraud.
WHY ARBUTUS FOR AUDIT ANALYTICS?
Since its launch in 2003, Arbutus has focused on providing cutting-edge analytics and data access solutions, as well as top level service, to customers around the world. Arbutus is a technology leader for the requirements of audit, fraud, compliance and risk management areas of an organization. Arbutus also focuses on partnering and integrating with other complementary technology used by auditors like reporting (Excel™), data visualization (Tableau™, Qlik™) and audit management (IdeaGen™, Pentana™).
Arbutus has proven that we can make it easier and more cost effective to implement and use analytics within your team and audit processes. Arbutus capabilities simplify and support your path to analytics at every stage.
We are a pivotal partner for audit teams who see strong analytics as a key factor in their success.
SOLUTIONS OFFERED BY ARBUTUS SOFTWARE
Arbutus gives you analytics solutions that best meet the challenging demands you and your team face. You can become better advisors to the organization through progressive and complementary analytics that drive assurance in business data, processes and controls.
Arbutus provides specific data access and analysis capabilities for detecting fraud. It does this by allowing fraud examiners and forensic investigators to test and compare all types organizational data, whether financial, operational or security.
Transactions are at the heart of virtually all business risk, including revenue leakage and cost recovery. By analyzing 100% of your relevant data with the right technology and revenue recovery analytics, Arbutus allows you to deliver an unrivaled level of findings.
Arbutus Software offers powerful, easy-to-implement, value based solutions for your data. Whether you are on the IT side or the business side, Arbutus can help you address needs in the areas of data quality, access, migration, staging and ETL.