Why Attend This Course?

n To effectively integrate data analytics and CAAT’s into your audit processes.n Planning for data Access.n Learn how technology can be used to more effectively and efficiently achieve desired audit results. n Learn how to progress from basic analysis into a fully automated mode, and learn the basics of Continuous Auditing.n You will learn how to design effective strategies and programs to ensure sustainable results.

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Register online at: www.mistieurope.com www.mistieurope.com/inhouse

Internal Audit

3 Day Course:

13-15 April 2015 Amsterdam

25-27 November 2015 London

TRAINING WEEK To find out more information about training weeks, visit: www.mistieurope.com/trainingweeks

TW

The Global Leader In Audit and Information Security Training

SUCCESSFUL DATA ANALYTICS FOR INTERNAL AUDITORSGetting the most out of your CAATS program - including ACL, IDEA, SQL, and SAS

Course Director: Steve Biskie A leader in the audit and compliance space for more than 20 years, Steve Biskie has become most well-known for his work helping Fortune Global 500 organizations understand and manage the risks within complex ERP systems such as SAP and Oracle.

SUCCESSFUL DATA ANALYTICS FOR INTERNAL AUDITORSGetting the most out of your CAATS program - including ACL, IDEA, SQL, and SAS

Course Focus And Features

In this three-day seminar you will learn everything you need to know about effectively integrating data analytics, or CAATs (Computer Assisted Audit Techniques), into your audit processes. You will learn how technology can be used to more efficiently and effectively achieve desired audit results, and get a chance to brainstorm analytics across most major business cycles.

You will learn how to progress from basic analysis into a fully automated/repetitive mode, and learn the basics of Continuous Auditing. You will review common hurdles and hear how the most successful organizations in the world have been able to exploit the power of data analysis to achieve visible and sustainable value. Whether you are in audit management (directing a team where you yourself may never personally use the technology) or the person who will ultimately be using the performing data analysis techniques, this course is for you.

Participants in audit management will learn how to design effective strategies and programs to ensure sustainable results. Those who will be more hands-on in your analytics program will get a chance to work on real-world scenarios with sample data files. Everyone will have the opportunity to practice designing effective tests and critiquing and QAing the work of others.

As the course progresses, you will quickly progress from understanding basic analytic techniques such as stratifications, summarizations, duplicate identification, into more advanced techniques such as fuzzy matching, Benford’s Law, and statistical and regression analysis.

You will also get a chance to explore cutting-edge topics such as visual analytics, risk scorecarding, and spatial analysis. Regardless of the tool you currently use or plan to use in your department—whether generic like MS Excel or MS Access, audit-centric like ACL or IDEA, or more IT-oriented like SQL or SAS--the standard pseudo-code used throughout the course will allow you to easily take what you have learned and quickly code it in your tool of choice. If you bring your own laptop, you’ll even be able to practice the techniques on real data files using your tool of choice.

Telephone: +44 (0)20 7779 8202 Email: mis@mistieurope.com

Who Should Attend

Chief Audit Executives, Internal Audit Heads, Managers, Supervisors and Lead Auditors from the private, public and not-for-profit sectors.

Prerequisite: None

Advanced Preparation: None

Training Type: Group-Live

Learning Level: Intermediate

CPEs: 24

Course Director: Steve Biskie

Steve Biskie is co–founder of High Water Advisors, a consultancy that helps organizations improve governance, risk management, compliance (GRC) and audit processes. He specializes in transforming inefficient, outdated, and compartmentalized processes and technologies to optimize GRC and audit performance and generate tangible value. A leader in the audit and compliance space for more than 20 years, Mr. Biskie has become most well–known for his work helping Fortune Global 500 organizations understand and manage the risks within complex ERP systems such as SAP and Oracle. Additionally, he is a thought leader and strategic expert on implementing high–value, sustainable analytics and continuous auditing program.

Price: GBP £2,245+VAT**Delegates may be able to claim back VAT. Visit www.mistieurope.com/VAT for more information.

Telephone: +44 (0)20 7779 8202 Email: mis@mistieurope.com

Day Two:

Session 1: Exploring data access options and file types• Native database tools• ODBC• Flat/delimited files• Adobe pdf reports• Unstructured data

Session 2: Common analyses in major business processes• Record-to-Report (R2R)• Purchase-to-Pay (P2P)• Forecast-to-Stock (F2S)• Order-to-Cash (O2C)• Hire-to-Retire (H2R)• Process-to-Application (P2A)

Session 3: Advanced analytic design techniques• Complex string comparisons• Address comparisons• Fuzzy matching techniques• Trending• Benford’s analysis• Smarter sampling techniques• Statistical & regression analysis• Historization

Session 4: Verifying standard data• Employee SSNs• Vendor EINs• Vendor TINs• Zip codes• Area codes• Address abbreviations• Credit card numbers

Session 5: Leveraging external data sources• OFAC list• US Postal Service address standards• SIC codes

Day One:

Session 1: The business case for audit analytics?• Industry benchmarks / guidance• Challenges with traditional audit process• Success stories & common benefits

Session 2: Integrating data analytics across the audit process• Enterprise Risk Assessment• Audit Planning• Fieldwork & Testing• Reporting• Follow-up and Monitoring

Session 3: Pros and Cons of Common Data analysis tools• Generic: MS Excel, MS Access• Business Intelligence: SAS, SPSS• IT-Centric: SQL, Business Objects, Cognos• Audit-Centric: ACL, IDEA

Session 4: Analytic development cycle• Program strategy & approach• Analytic planning & design• Data access & validation• Coding/Development• Testing / QA• Implementation & optimization• Process Differences for Ad-Hoc vs. Continuous testing

Session 5: Planning for Data Access • Understanding various data access techniques• Effectively negotiating with IT• Data verification procedures • Data security and retention

Group Booking Discount**

3 delegates -

10% discount

2 delegates -

5% discount

4 delegates -

12% discount

5 delegates -

15% discount

**Available for delegates from one organisation attending the same course

Register online at: www.mistieurope.com

TAILORED AND PERSONALISED IN-HOUSE TRAINING Why Choose In-House Training?Savings - Running an in-house course in your offices will ensure you avoid the costs of travel and accommodation. Plus we charge per day not per delegate. You can train six or sixteen people for the same price! Convenience - We can arrange a course that fits your team’s schedule. Any dates, any location, simply tell us what works best for you. Avoid the hassle of coordinating travel arrangements and accommodation for your staff Tailored training - We have over 150 existing training courses you can mould to fit your exact requirements or if you prefer we can just create a new agenda. You will have complete control over the course content Confidentiality - You can focus on potentially thorny issues that may be specific to your organization which are best resolved in private with the expert guidance of your course director

Some Of The Companies We Have Worked With:PwC • International Labour Office • Barclays • Capital One • Legal and General • Deloitte • European Court of Auditors • Lukoil • Credit Suisse AG • Euroclear • AIB • U.S. Steel, Corp. • Novartis • National Commercial Bank • Qatar National Bank

Visit www.mistieurope.com/inhouseCall us on 0207 779 8202Email mis@mistieurope.com

INHOUSETRAININGSave up to 50%

with In-House Training

Session 5: People & process issues • Organizing the team• Developing and maintaining skills• Prioritizing analytics• Measurement and KPIs

Session 6: Reporting and interpreting results• Presenting results in a meaningful way• Overlapping results • Analytic Precision

Session 7: Advanced topics & the evolution of analytics• Continuous Monitoring• Dashboarding & visual analytics• Scorecarding• Predictive analytics• Spacial relationships and mapping

Day Three:

Session 1: Developing appropriate standards• Code documentation• Requirements definition• Data verification• QA & Testing• Security & archiving

Session 2: Making analytics repetitive• Scripting and automation• Design considerations• Automating data access

Session 3: Moving toward continuous auditing• Strategy considerations• Effect on audit process• Changes to data extraction and analytic logic

Session 4: Common implementation hurdles• Getting management buy-in• Dealing with false positives• Strategies for disparate systems• International issues• Incongruent processes / policies• Outsourced IT• External and cloud-based data