Corporate Tax Spring Training Trends in Tax Technology

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Transcription:

Corporate Tax Spring Training Trends in Tax Technology

Agenda 1. Introduction to Robotic Process Automation 2. Portals 3. Analytics Copyright 2017 Deloitte Development LLC. All rights reserved. 2017 Corporate Tax Spring Training 2

Introduction to RPA Copyright 2017 Deloitte Development LLC. All rights reserved. 3

Robotic and Cognitive Automation Low Medium High Futuristic Degree of Cognition Robotic Process Automation Intelligent Automation Cognitive Automation Artificial Intelligence Mimics human actions Mimics human judgment Augments Human Intelligence Mimics Human Intelligence Computer program or robot that mimics rules-based actions in existing applications Finance Applications: Invoice receiving, 3-way matching, customer credit assessment, reconciliation etc. Tools that use natural language recognition/generation and machine learning for information extraction Finance Applications: Invoice processing and filing. filing, submission/claims processing, etc. Computerized models that simulate human thought processes through predictive decision making Finance Applications: Creation of competitor analysis, advanced planning & predictive forecasting etc. The theory and development of computer systems that can perform tasks which normally require human intelligence Finance Applications: Self-sustaining reconciliations etc. You must look to technology for sources of sustainable cost reductions Copyright 2017 Deloitte Development LLC. All rights reserved. 2017 Corporate Tax Spring Training 4

Tax technology In an RPA solution, robots are capable of mimicking most user actions Opening email & attachments Scraping data from the web Moving files and folders Connecting to system APIs Copying and pasting Making calculations Logging into web/enterprise applications Filling in forms Reading and writing to databases Extracting structured data from documents Collecting social media statistics Following if/then decisions/rules Copyright 2017 Deloitte Development LLC. All rights reserved. 2017 Corporate Tax Spring Training 5

Robotic process automation defined Computer-coded, rules based software that automates manual activities by performing repetitive rules-based tasks Bot is software programmed to perform repeatable tasks Using recorders and easy programming language, robots are programmed to replicate repetitive human tasks RPA operates in the User Interface layer It is able to automate rules-based work without compromising the underlying IT infrastructure RPA replicates human interactions with proven technology It mimics common tasks such as queries, cut/paste, merging, and button clicks RPA can be implemented at the desktop or in the virtual environment Flexibility to quickly deploy robots directly onto existing desktops (PCs, laptops) or virtually (virtual machines) to save on additional hardware costs Robotic process automation tools help businesses improve the effectiveness of services faster and at a lower cost than current methods Copyright 2017 Deloitte Development LLC. All rights reserved. 2017 Corporate Tax Spring Training 6

How does RPA work? RPA can be easily deployed and managed from a central controller to interact with a wide range of business applications 1 Process Developers specify the detailed instructions for robots to perform and publish them to the robot controller repository 1 Process Developers 2 Robot Controller 4 Business Users 2 The Robot Controller is used to assign jobs to robots and to monitor their activities 3 Each Robot is located on an organization environment which may be virtualized or physical (e.g., desktop computer) where it interacts directly with business applications 4 Business Users review and resolve any exceptions or escalations 3 Robot 5 Applications 5 Robots are capable of interacting with a wide range of Applications Illustrative Copyright 2017 Deloitte Development LLC. All rights reserved. 2017 Corporate Tax Spring Training 7

Process Automation Selection Criteria RPA can address the bulk of manual tasks involving data sourcing and validation due to complex integrations and multiple handoffs 1 Well defined process Automating a bad process leads to an invisible bad process! Select processes with clear scope, execution steps and existing controls in order to reduce risk in automating the process 2 Rules based primarily Process that are well-documented and driven more by rules than judgement, lend themselves well to earlier adoption of automation. 3 Measurable tasks and outcomes Clearly-defined success criteria and metrics are indispensable for successful automation 4 High transaction volume and manual effort Select processes with higher transaction volume and manual intervention for faster automation benefits at greater scale and quality Copyright 2017 Deloitte Development LLC. All rights reserved. 2017 Corporate Tax Spring Training 8

Portal Technology Copyright 2017 Deloitte Development LLC. All rights reserved. 9

What is tax portal? A common framework to tie tax functions and locations together in a common approach, user interface, and platform. Entry point for all things tax. A common and standardized set of collaborative tools and processes to gain efficiencies and reduce operational risks Tax Portal A central management set of standardized tools to provide insight and access, reporting to operational information and controls A central mechanism to collect, report, and to provide analytics of tax data from data collected inside or outside of tax portal Copyright 2017 Deloitte Development LLC. All rights reserved. 2017 Corporate Tax Spring Training 10

Tax portal landscape Financial data Data management Finance and Tax data model Applications Control center End user SAP, Oracle, JDE, etc. Other TM1 Master data Non-financial data Nielsen IRI Data collection templates Survey templates Data integration platform Data discovery & mapping Tax calendar Knowledge social Provision Master/ GL data Direct compliance Tax Reporting Insurance Entity management Tax provision Direct income tax Corp Fin Reporting Treasury Insurance Workflows Dashboards Mobile analytics Knowledge/ social Multidimensional Business executive Manager Causal user Surveys & data collects Other Audit management Operation data Advanced analytic & predictive models Ad-hoc reports Community Copyright 2017 Deloitte Development LLC. All rights reserved. 2017 Corporate Tax Spring Training 11

The tax portal Search & versioning Knowledge management Forms framework Document management & emails Tracker/ calendar Transfer pricing Withholding tax Excise tax Portal Direct tax compliance Tax accounting/ provision Insurance Data management Data collection/ surveys Audits VAT/ Sales & use tax Security Master data/ entities Workflow/ Task mgmt Dashboard analytics Copyright 2017 Deloitte Development LLC. All rights reserved. 2017 Corporate Tax Spring Training 12

Analytics Copyright 2017 Deloitte Development LLC. All rights reserved. 13

What is tax data analytics? Tax data analytics combines tax technical knowledge plus large sets of data plus new technology tools to generate insights and deeper understanding. It can help an organization s Tax function make smarter, real-time decisions to potentially improve performance of businesses and drive strategy. Tax Function Change the mindset from what I need to do to what I need to know Copyright 2017 Deloitte Development LLC. All rights reserved. 2017 Corporate Tax Spring Training 14

The evolution of analytics Analytics is a discipline which focuses on the conversion of data to information, and information to actionable insight, which can be leveraged across the entire analytics spectrum. Foresight Optimization algorithms Determine the signals being generated across your ecosystem to shape the future Insight Use data from within the organization to drive changes here and now Hindsight Conduct assessments based on data generated by past operations Hindsight Insight Foresight Hindsight Insight Predictive and Prescriptive Descriptive Simulation and modeling Quantitative analyses Advanced forecasting Role-based performance metrics Exceptions and alerts Slice and dice queries and drill-downs Management reporting Enterprise data management Copyright 2017 Deloitte Development LLC. All rights reserved. 2017 Corporate Tax Spring Training 15

Data visualization tools Data visualization transforms data sets into a more graphical, interactive form. This allows users to easily analyze data, gain insights, and discover connections. Tableau Qlik SEMOSS D3 Python Watson Analytics Tableau is a business intelligence tool to integrate data and create quick, interactive visualizations. Qlik Sense and QlikView are two business intelligence tools for creating data visualization dashboards. Qlik Sense is free to download! SEMOSS a data middleware, which brings together data trapped in multiple repositories and presents it for analyzing. D3 is an opensource JavaScript library that provides a catalog of visualizations using HTML, CSS, and SVG. Python has various interactive data visualization libraries, such as Bokeh and Plotly. IBM Watson Analytics is a tool that incorporates data exploration, visualization, and predictive modeling for insights. Copyright 2017 Deloitte Development LLC. All rights reserved. 2017 Corporate Tax Spring Training 16

This presentation contains general information only and Deloitte is not, by means of this presentation, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services. This presentation is not a substitute for such professional advice or services, nor should it be used as a basis for any decision or action that may affect your business. Before making any decision or taking any action that may affect your business, you should consult a qualified professional advisor. Deloitte, its affiliates and related entities, shall not be responsible for any loss sustained by any person who relies on this presentation. About Deloitte Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee ( DTTL ), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as Deloitte Global ) does not provide services to clients. Please see www.deloitte.com/about for a detailed description of DTTL and its member firms. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting. Copyright 2017 Deloitte Development LLC. All rights reserved. 36 USC 220506