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Analytics in the Australian Taxation Office (ATO)

Learn about the role of analytics in the Australian Taxation Office's Change Program, and the challenges they face in providing client intelligence to support regulatory functions. Discover how they are using data to extract knowledge and improve client experience.

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Analytics in the Australian Taxation Office (ATO)

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  1. Analytics in the Australian Taxation Office (ATO) Warwick Graco Manager Analytics Change Program ATO Warwick.graco@ato.gov.au

  2. Background • I have worked previously in Defence and Health. I now work in Taxation • I have a BSc from UNSW and a PhD from UNE • I am manager of a small team of data miners and modellers working in the Change Program at ATO • Our Primary Responsibility is to help provide Client Intelligence to support the regulatory functions performed by the organisation

  3. Outline • Extracting Knowledge from Data • Challenges facing the ATO • Role of Analytics • Detection Capabilities • Role of Chief Analyst/Chief Intelligence Officer

  4. Knowledge from Data • SAS International Forum in Copenhagen in June had the basic theme of how to extract knowledge from data • Many presentations from both government and private enterprise dealt with this issue • It is a cliché that all organisations have much data but little knowledge

  5. Knowledge from Data • Knowledge can be used to raise profits, increase productivity, lower costs, improve customer satisfaction and similar • A major challenge in the 21st Century is how to extract knowledge from data • This presentation discusses aspects of what the Australian Taxation Office is doing about this issue in relation to client intelligence

  6. Challenges Facing ATO

  7. Challenges Facing ATO • The ATO is the major revenue collector for the Australian Federal Government raising 93 percent of revenue in FY2002-2003 • It is responsible for raising revenue from a variety of sources including income tax, GST, superannuation, excise and duties, fringe benefits tax, company tax and agriculture levies

  8. Challenges Facing ATO • The ATO is seen by the public as a punitive organisation ie. it penalises taxpayers who are non-compliant • The ATO also had to cope with the introduction of the GST in July 2000 which was a major administrative undertaking and which created much paperwork and frustration

  9. Challenges Facing ATO • ATO also monitors policies and practices in overseas revenue agencies and the move in European ones to assisting taxpayers to meet their obligations • These developments led the ATO to consult taxpayers on services and standards they expect from it as a revenue collection agency and how their interaction can be made easier

  10. Challenges Facing ATO • The ATO also engaged consultants to advise it on future directions with tax collection and compliance • This led to the new policy of ‘easier, cheaper and more personalised’ • The ATO wants to improve the client experience and especially does not want to inconvenience clients who meet their taxation obligations

  11. Change Program • These deliberations resulted in the Change Program being instituted in the ATO • This is an ambitious program to upgrade the infrastructure and technology of the office • The aim of this program is make the ATO a friendlier and more personal organisation

  12. Key Capabilities • Two key capabilities of the Change Program include: • New Tax Administration System (TAS) • Client Relationship Management System (CRM) • TAS will improve the efficiency with which clients are registered in the tax system, their returns and statements are processed and their refunds are paid

  13. Key Capabilities • CRM will improve the interactions clients have with the ATO. • This is done in two ways: • CRM collects information from clients via call centre conversations, correspondence and other interactions • CRM is backed up by the results of analysis which provides ‘intelligence’ on clients

  14. Other Capabilities • Supporting these capabilities are other major initiatives such as: • channel improvement in terms of ebusiness eg ATO portal and electronic lodgement • information management and analytics in terms of providing the outputs to drive both CRM and Case Management

  15. Case Management • Case Management is used to manage cases that require auditing, investigation or some other regulatory intervention • A good Case Management System specifies work flows and provides a record of milestones, determinations and achievements with cases

  16. ‘Fog of War’ • A major failing of CRM and Case Management Systems to date has been the lack of information on clients ie. lack of Client Intelligence • Staff interacting with the public had to operate in the dark because of poor or inadequate information on clients • Case management records were patchy, incomplete or spread between incompatible systems

  17. Single Capability • ATO has many legacy case management systems • The aim is to replace them with a single Case Management System and a single CRM • Siebel Systems is providing the solution for both requirements

  18. Analytics

  19. Analytics • Many definitions of this term • Refers to the process of analysing issues to identify patterns and relationships and to gain new insights and understandings. • It is essentially about understanding issues

  20. Compliance Triangle • To help the ATO to determine how it manages clients, it uses a compliance triangle • This is employed to: • Determine where clients lie in the triangle and • How best they are best managed or treated

  21. Compliance Model Attitude Compliance Measures Push Down Not Comply -Disengaged Don’t Want To Comply - Resisters Try but do not Always Succeed- Triers Comply - Supporters Use full Force of Law Deter Assist to Comply – eg Educate Make it Easy Role of Analytics is to work out where Clients fall in this Triangle

  22. Knowledge-Value Chain – ATO Perspective Informatics Data Text and Imaging Implement- ation Rules & Treatments Dynamic Decision Making Analytics Differentiated Services to Clients

  23. Analytical Disciplines Quantitative Qualitative Intelligence Analysis Machine Learning and Reasoning Research - Hypothesis Testing Risk Analysis Statistics OLAP – Data Cubes Operations Research Profiling

  24. AnalyticsCycle Strategy Strategy Intelligence Analysis Risk Analysis Analytics Workbench Profiling Profiling Informatics - Data, Text & Imaging Targetting Discovery, Detection & Decision Making Treatments eg Auditing or investigation

  25. Analytics Workbench • This provides the tools that enables analysts to do their work including profiling, mining and modelling • SAS Suite including SAS Enterprise Miner was selected to provide base functionality for the Analytics Workbench • ATO is also working on requirements for an Intelligence Workbench

  26. Detection

  27. Client Profile • Identifiers – Name, Age, Gender, Occupation and Address • Income – Wage/Salary, FBT and Interest/Dividends • List of Claims for Work-Related Expenses, Rental Property and Gifts • Offsets for Spouse, Invalid Relative or Zone Allowance • Risk Classification

  28. Claims Processing • This is an online real-time transactionsystem that contains business rules for checking for eligibility and entitlement • It also has compliance rules checking for integrity breaches eg. self education expenses exceed a threshold • Cases which exceed thresholds are placed in a queue for review

  29. Detection Capabilities Client Profiling Case Management Decision Support System Claims Processing CRM

  30. Timeframes - Detection Past Time Current Future Time (retrospective) Time (prospective) (inspective) Classification Judgment Prediction Aim to move to a position where you can identify potential high-risk cases ahead of time

  31. Chief Analyst/Chief Intelligence Officer (CINTO) • Organisations now have senior managers who fill appointments such as CFO, CTO, CIO and CKO • It is suggested that they now need a Chief Analyst/CINTO who is responsible for both qualitative and quantitative analysis including: • Intelligence • Risk Analysis • Profiling • Mining and Modelling

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