VAT/GST Analytics by Deloitte User Guide August 2017
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1 VAT/GST Analytics by Deloitte User Guide August 2017
2 Contents What is VAT/GST Analytics? What is Qlik Sense? The Associative Model How to access Qlik Sense? Navigate through Qlik Sense A quick overview Making Selections on visualizations Detailed Dashboard Explanation Overview (Summary Tax Codes Data Health Checks) Account Payable (Highlights Analysis Deep Dive Trends) Accounts Receivable (Highlights Analysis Deep Dive Trends) Master Data (Highlights Analysis Deep Dive Trends) Customized Reports Company (Company set-up Data Quality Checks Security) Some external helps Example of a Selection via Filters Export Data to an Excel File Use the VAT/GST Analytics Dashboard Capabilities through Menu Layers Data Quality Checks Dropdown Dimensions The Flagged, not Flagged and Error dimension and logic behind 2
3 What is VAT/GST Analytics? Tax analytics has quickly emerged as a mindset change from "what I need to do" to "what I need to know," using more granular enterprise data as the foundation for tax decisions. VAT/GST Analytics enables businesses to rigorously review the quality of their VAT/GST data and assess deficiencies in their compliance processes through a provisioned system of predefined checks and balances. The solution automates and streamlines large data files into one central, intuitive data dashboard based on the Qlik Sense technology. Key benefits: 3
4 What is Qlik Sense? Qlik Sense is a powerful data visualization tool Qlik Sense is a self-service data visualization tool allowing users to easily and quickly explore as well as discover information, perform guided analytics, and take data-driven decisions. The main capabilities of Qlik Sense are: Smart and user-friendly visualizations revealing hidden insights Smart and user-friendly visualizations between all data dimensions of the business, revealing insights traditionally hidden when using the standard query-based reporting tools Provide ultimate flexibility through Smart Search Smart Search can help uncover data relationships and information in scope of a dashboard App and quickly lead you to the insights you are looking for Explore multiple data sources in a single application Qlik Sense connects multiple data sources without compromising performance providing more comprehensive and collaborative views through the entire business Access analytics anywhere, anytime, on any device Qlik Sense moves seamlessly from desktop to tablet to smartphone in real-time 4
5 Navigate through Qlik Sense The associative model (1/2) The Associative Model exposes relationships in complex, multi-source data sets that are otherwise hidden in hierarchical or query-based approaches. You can then benefit from this feedback every time you make a selection or search, allowing you to gain understanding and take next steps. With Qlik Sense, users of any skill level are empowered to follow their own paths to insight. Through the Associative Model, you can ask question after question, from any object, in any direction, using simple selections and searches. Qlik Sense provides instant feedback on associated and unrelated data and updated analytics after every step. 5
6 Navigate through Qlik Sense The associative model (2/2) The selected values turn to green. In this example High and Non-IT/Systems are two selected values. Immediately, the filter panes Priority and Case Owner Group are updated and display the different selections. Alternative values are then displayed in light grey. The alternative values are values excluded due to the first selection. Once the first selection has been done, the Associative Model displays the other possible values related to that first selection in the other filters and turn them in white. Therefore, the excluded values are values not associated with the first selection and are displayed in dark grey. 6
7 How to Access the VAT/GST Analytics dashboard? Two Easy Steps to Log In 1. Open your browser. 2. Type the specific URL : Select your identification method which is Log in with username and password A pop-up menu will be displayed asking you to enter your address and Password. 7
8 Navigate through Qlik Sense A quick overview In the Selection bar the following actions are available: Step back or forward in selections; Clear all selections**; Smart Search to search in the entire data 4 set and visualizations. 2. You can easily navigate through the App thanks to the navigation menu. 3. This button opens a filter panel with a range of filters applicable to the App. 4. The main area where you can find visualizations. 8
9 Navigate through Qlik Sense Making selections on visualizations A sheet view contains visualizations; You can apply filter selections by clicking directly on the visualizations; The visualizations on a sheet will automatically be adapted based on your selections; The selection will be applied immediately to the entire app. 2 Example of a selection on a visualization: 1. Select the visualization on which the selection* should be done; 2. Select the value in the graph to filter on a specific value; 3. Confirm your selection with the green button; 4. In the selection bar you can see your current selections. New selections in a visualization are added to the previous ones. Selections can be removed one by one (i.e. deselect an item by clicking it). 9
10 Navigate through Qlik Sense Example of a selection via filters (1/2) When you click on the filter button on the left side a pane appears. From this menu you have a selection of filters. When you click on one of the Filters (e.g. Legal Entity or Reporting Country ), a drop down list will appear allowing you to make one by one selections. You can also click on This will open up a pop-up Menu that allows you to: Select all Select possible Select alternative Select excluded(*) (*)These different types of selections are explained under the Associative Model 10
11 Navigate through Qlik Sense Example of a selection via filters (2/2) You can save and name your selections by clicking on Save as Favorite. This can be used when you often apply the same selections. All your bookmarks are available into the favorites tab of the filter pane. When you click on a Favorite, the saved selection will be applied immediately to the entire app. 11
12 Navigate through Qlik Sense Export data to Excel Export your data to Excel: 1. Two icons appears when you hover a visualization: 1 Click on to export only the data related to this visualization. Click on to expand this visualization. 12
13 Capabilities through menu layers The Overview contains a Summary view allowing the user to have a high level view on both the total as well as the impacted AR and AP position throughout the world per location, reporting country, legal entity and VAT number. Further, the user can consult the list of transactional tax codes and via the Data Health Check views the user is being provided insight in the level of completeness of the data provided and possible impact this might have on the outcome of the analysis performed. 5. The Customized Report is a powerful tool providing access to all underlying data allowing for the user to create and export specific reports. 6. The Company Section displays the company structure, a list of the performed data quality checks and an overview on users having access to the dashboard. 7. Online copy of the user guide. 2. The Account Payable section allows the user to get high level insight in the supply chain, and provides an understanding on the VAT/GST issues following the performed test, identifies root causes and issue trends over time. 3. The Account Receivable section allows the user to get high level insight in de sales chain, and provides an understanding on the VAT/GST issues following the performed tests, identifies root causes and issue trends over time. 4. The Master Data section provides insight in supplier, customer or material master data related issues and trends over time. 13
14 Data quality checks (DQCs) 100+ data quality checks The results on the data health checks can be found under Overview Data Health Checks; the results on the AP, AR and Master Data checks can be found under the respective Analysis screens; the results on the reconciliation checks can be found on the Reconciliation screen e.g. for the Master Data: 1. KPI s show the number of flagged master data out of the total master data. 2. Pie charts allow the user to see exactly the repartition of flagged master data into different categories. 3. The table is a detailed analysis ordered to immediately select the DQC results with the highest impact. From this view on the user can decide which issue to focus on first, select the result to be looked into and move to the Deep Dive page to identify route causes. Issue trends for AP, AR and Master Data can be found in the respective Trends pages. 14
15 Dropdown dimensions The user will be able to select several dimensions directly on the screen. 1 3 Once the user selects a dropdown dimension, this will impact either all or some visualizations, on the screen e.g.: 1. For the Transactional Data the user can switch between Net Amount, Tax Amount and Number of Transactions. This Dropdown dimension only impacts the visualizations and not the KPI s on the top. 2. The dropdown dimension only impacts the bar chart. By clicking on the dimension Incoterm, the visualization and the title will be immediately changed. 3 15
16 The Flagged, not Flagged and Error dimension and logic behind The Flagged Not Flagged Error dimension allows the user to switch between three different values on most of the dashboard screens: Flagged represents the transactions that didn t pass at least one data quality check. Error represents the transactions for which at least one data quality check could not be performed due to missing data. Not Flagged represents the transactions that passed all the data quality checks. The Flagged Not Flagged Error dimension impacts all visualizations on the screen e.g.: As you can see on this screenshot, the KPI s show two numbers next to each other. In this case, it means the amount in error out of the total amount. Only the first number of each KPI is impacted by the dimension. Note that all visualization titles are flexible, meaning titles change automatically depending the selected dimensions e.g.: The pie chart displays the Net Amount ( ) Error per DQC Category. When selecting the dimension Flagged the title will change into Net Amount Flagged ( ) per DQC Category. 16
17 Overview - The Summary screen Purpose of the Summary screen: Dimension - All: High level overview on the total AR and AP position on net amount, tax amount or number of transactions to be viewed per location, reporting country, legal entity and VAT number visualized in various interconnected graphs displaying info next to each other in one view. Dimension - Flagged: Overview on the AR and AP transactions failing one or more data quality checks, allowing for the user to immediately dive into these legal entities, locations, countries or VAT-numbers that require attention by making selections on screen and moving on to the more in-depth analysis in the next screens. 17
18 Overview Tax Codes screen Purpose of the Tax Codes screen: Overview on the number of client tax codes as put in place by the business (i.e. master list of tax codes), the number of tax codes used in the transactional data set, split out for AP/AR and compared to the number of Deloitte tax codes where the client ones have been mapped to. View on how the number of tax codes evolve over time. Graphs and KPIs are interconnected, mean The user can consult the list of all the client and Deloitte tax codes including their description which can be exported to excel. The graphs, KPIs and the list are interconnected, meaning a selection within the graphs will change both the KPIs and the list. 18
19 Overview - The Data Health Check screens Purpose of the Data Health Check screens : Provides insight on the impact of missing or non-compliant transactional and master data. Graphs and KPIs are interconnected meaning making a selection in one graph triggers the KPIs and other graphs to only show the information related to that selection. The missing data fields have been categorized by severity level - listed from high to low: Severity level 1: missing / non-format compliant data which are needed for the VAT/GST analytics solution to run properly (i.e. mandatory fields - system). Severity level 2: missing / non-format compliant data which are needed for the data quality checks to run and/or for the analytics dashboard to generate useful insights (i.e. mandatory fields - test or mandatory fields - dashboard). Severity level 3: missing / non-format compliant data which do not have an impact on either the VAT/GST analytics solution, the VAT/GST tests or the dashboard. 19
20 Account Payable (AP) - Highlights screen Purpose of the AP Highlights screen: High level overview on the AP position per net amount, tax amount or number of transactions by various dimensions e.g. per supplier to identify the top 10 suppliers; per legal entity to identify the biggest purchasing entity in the group simultaneously providing trends over time. The graphs and KPIs are interconnected meaning making a selection in the left chart will impact the trends chart and the KPIs on top which will only display the info related to that selection. 20
21 Account Payable (AP) - Analysis screen Purpose of the AP Analysis screen: Pie-chart: summary of issues following the analysis performed on the selected AP data set, grouped per category. Table: displays all data quality check results ranked by their impact by quantifying the possible impacted net amount, tax amount and number of transactions, allowing the user to take an informed decision on what type of issues to look into to identify root causes. The pie-chart and the table are interconnected meaning selecting a category to the left means only the DQCs allocated to that category are being displayed in the table; the same is true for the KPIs on top. Once the user selected a given DQC result, the root cause identification (cfr. Deep Dive) screen can be accessed via the green button displayed on the screen: 21
22 Account Payable (AP) - Deep Dive screen Purpose of the AP Deep Dive screen: Provides insight into where the issues following a specific test performed stem from (e.g. overview on the legal entities facing the issue ) The user can change the bar chart dimensions. Each dropdown is allocated to the bar chart below it. The table at the bottom of the screen allows the user to consult the underlying AP transactions on screen or extract these into excel. 22
23 Account Payable (AP) - Trends screen Purpose of the AP Trends screen: High level overview on the impacted AP position per net amount, tax amount or number of transactions by various dimensions e.g. per legal entity ranking all legal entities from being most to least impacted by any issues showing from the performed data quality checks. Overview on how the impacted net amount, tax amount or number of transactions evolves from month-to-month or year-to-year. Graphs and KPIs are interconnected meaning e.g. selecting a given entity on the left will project the trends for that specific entity on the right. 23
24 Use the VAT/GST Analytics Dashboard Account Receivable (AR) - Highlights screen Purpose of the AR Highlights screen: High level overview on the AR position per net amount, tax amount or number of transactions by various dimensions e.g. per customer to identify the top 10 customers simultaneously providing trends over time. The graphs and KPIs are interconnected meaning making a selection in the left chart will impact the trends chart and the KPIs on top which will only display the info related to that selection. 24
25 Account Receivable (AR) - Analysis screen Purpose of the AR Analysis screen: Pie-chart: summary of issues following the analysis performed on the selected AP data set, grouped per category. Table: displays all data quality check results ranked by their impact by quantifying the possible impacted net amount, tax amount and number of transactions, allowing the user to take an informed decision on what type of issues to look into to identify root causes. The pie-chart and the table are interconnected meaning selecting a category to the left means only the DQCs allocated to that category are being displayed in the table; the same is true for the KPIs on top. Once the user selected a given DQC result, the root cause identification (cfr. Deep Dive) screen can be accessed via the green button displayed on the screen: 25
26 Account Receivable (AR) - Deep Dive screen Purpose of the AR Deep Dive screen: Provides insight into where the issues following a specific test performed stem from (e.g. overview on the legal entities facing the issue ) The user can change the bar chart dimensions. Each dropdown is allocated to the bar chart below it. The table at the bottom of the screen allows the user to consult the underlying AR transactions on screen or extract these into excel. 26
27 Account Receivable (AR) - Trends screen Purpose of the AR Trends screen: High level overview on the impacted AR position per net amount, tax amount or number of transactions by various dimensions e.g. per legal entity ranking all legal entities from being most to least impacted by any issues showing from the performed data quality checks. Overview on how the impacted net amount, tax amount or number of transactions evolves from month-to-month or year-to-year. Graphs and KPIs are interconnected meaning e.g. selecting a given entity on the left will project the trends for that specific entity on the right. 27
28 Master Data Highlights / Analysis / Deep Dive / Trends Purpose of the Master Data Section: Many VAT/GST determination errors and compliance data gaps have their root cause in missing, incomplete or incorrect master data: Highlights screen: Overview on the number of customer, supplier and material master data and how these numbers evolve over time Analysis screen: Pie-chart: summary of issues following the analysis performed on the master data set, grouped per category. Table: displays all data quality checks ranked by impact. The pie-chart and the table are interconnected meaning selecting a category to the left means only the DQCs allocated to that category are being displayed in the table; the same is true for the KPIs on top. Once the user selected a given DQC, the root cause identification (cfr. Deep Dive ) screen can be accessed via the green button displayed on screen. Deep Dive screen: Provides insight into where the issues following a specific test performed, stem from; each bar chart dimension can be changed. The table at the bottom of the screen allows the user to consult the underlying master data. Trends screen: High level overview of number of impacted master data by various dimensions and how this number evolves over time. Graphs and KPIs are interconnected meaning e.g. selecting a given entity on the left will project the trends for that specific entity on the right. 28
29 Customized Reports screen Purpose of the Customized Reports screen: Consult the submitted data sets providing full access to all underlying master and transactional data. The selected set of data can be consulted on screen or downloaded into excel. In order to begin the table construction the user has to select a report in the top left drop down. The user can easily add and remove data fields by clicking on the fields in the list. The order of the selected fields can be changed by dragging and dropping the fields to the preferred location via the top selection bar. 29
30 Company Company Setup screen Purpose of the Company Setup screen: Detailed overview on the number of legal entities established per country as well as the number of VAT/GST registrations per legal entity and per reporting country. View on how the number of legal entities, reporting countries and VAT numbers evolves over time. List of all VAT numbers per legal entity which can be exported to excel. The graphs, KPIs and the list are interconnected. 30
31 Use the VAT/GST Analytics Dashboard Company Section Data Quality Checks screen Purpose of the Data Quality Checks page: List of data quality checks (DQCs), including the numbering, name and a description and test outcome for each DQC which are run by the Deloitte VAT/GST Analytics summing the total number of tests per category. 31
32 Use the VAT/GST Analytics Dashboard Company Section Security screen Purpose of the Security screen: List of users having access to the dashboard. Line charts showing how many users have accessed the dashboard by month and by day. 32
33 Learn more about Qlik Sense Some external helps Visual exploration Working with selection Global smart search 33
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