Audit Professionals Challenges
The audit profession is faced with a myriad of challenges due to financial reporting requirements, the pressure to reduce costs, and difficult to access data sources. Auditors often say they spend too much time working with data instead of analyzing it, both prior to and during audits. This is because many auditors have no direct access to data sources across the organization.
Often data used by auditors are from secondary sources such as Excel, semi-structured data, or data from custom in-house systems. Data in these formats almost always originates in another system and is either exported to or entered into Excel manually. Questions about data lineage and accuracy are often raised because of this.
Data Innovation in Audit Webinar will address current challenges faced by Auditors and present case studies on how organizations are modernizing and simplifying their account Reconciliation process with the help of current self-service data preparation tools.
More speakers will be confirmed soon!
Altair data analytics enables people of all skill levels to access, generate, and use smart data to make insightful, informed decisions.
Our solutions are designed so that people who work with data can partner with business teams to collaboratively generate and share insight. No code data transformation and machine learning from Altair reduces the complexities often encountered in data analytics. We eliminate the need for specialized programming knowledge and democratize the analytics process. As a result, people across the business can leverage the value of insightful analytics.
What To Expect?
Hours of Content
Topics Covered at
How to streamline the audit process, to ensure compliance and reduce non-billable hours for auditors
How to transform existing accounts payable reports into live data for fast analysis, which dramatically expedites the sales tax audit and review process, as well as the recovery of overpayments
Approaches to Achieve Cost-Effective Audits
The Altair platform turns Excel, semi-structured, and custom-report based data into trustworthy, audit-friendly data.
Expedite the workflow of internal audit activity while reducing the amount of loan files with missing, erroneous or noncompliant data
Detect Anomalies, Fraud and Trends Across Comprehensive Data
How to accurately and reliably extract data from non-tabular data sources
How to clean and normalize all data regardless of original source or format
How to blend multiple disparate data sources together in a repeatable auditable fashion.