Power BI for Compliance, AML/CFT, Risk Mgmt. Professionals

Identify suspicious transactions through Power BI visualization in the planning phase, using parameters such as date, type, amount, customer name, and terminal location to support compliance and AML/CFT risk management.

Import Excel data into Power BI, switch to report view, create a table and map with bubble size by billing amount to show location-based credit card transactions.

Create a line chart to analyze time series data by month, plotting billing amount on the y axis and transaction date on the x axis to show person's monthly transactions.

Use Power BI DAX to build a measure that calculates percent of credit card limit utilized from total transactions, then chart it to reveal suspicious utilization patterns.

Spot suspicious activity and money laundering risk using a Power BI dashboard, illustrated by Rahul's case of illicit credit card payments via a POS machine.

Build a Power BI dashboard for AML/CFT risk by visualizing credit card transactions, spotting patterns like maxing out above 80% monthly from a single location, and generating alerts.

Build a beautiful Power BI dashboard to analyze transactions of different customers for compliance and AML/CFT risk management.

Explore customer transaction data to build a Power BI dashboard, reviewing total and online debit and credit transactions, cash transactions, income declarations, and credit limits for compliance and risk management.

Import Excel data into Power BI, clean nulls, convert account data to text, remove errors, and link tables to enable dynamic, cross-table analysis.

create a Power BI dashboard with a header and canvas; build a total customers card using DAX and add dropdown slicers plus info cards for name, account, segment, and risk.

Create a clustered column chart to compare customer annual income with total debit and credit transactions, set chart titles, adjust the legend position to bottom center, and refine colors.

Create a donut chart showing debit and credit transaction count by customer, using a previous chart. Rename the label, show percentage of total, and color debit red and credit green.

Create a gauge chart to compare a customer's total credit card transactions to the average across all customers, using a dax measure for average and highlighting potential suspicious activity.

Create a map chart to visualize ATM terminal locations and use bubble size to represent debit card transaction amounts, highlighting transaction density for compliance and risk management.

Create an area chart in Power BI to display monthly cash deposits and withdrawals, using date on the x-axis and a secondary axis for withdrawals, with color and style refinements.

Create a horizontal cluster bar chart in Power BI to compare online credit and debit transactions by account name, with a top-right stacked legend and color coding.

Learn to use tooltips in Power BI to add chart information beyond the dashboard, prioritizing a few charts for better interpretability, with a step-by-step tooltip creation in the next video.

Create and configure a Power BI tooltip panel for a credit card visual, including a 300-pixel-high, 550-pixel-wide canvas, a transaction table, and enabling tooltips on charts.

Create a tooltip in Power BI using ATM card data, displaying transaction rate, month, billing amount, and ATM transactions, then link to the ATM card tooltip page for analysis phase.

Identify red flags in a suspicious account by analyzing cash and online transactions against income; the dashboard reveals a hidden beneficial owner and tax evasion risk.

Analyze a suspicious account using a Power BI dashboard to detect risk indicators such as border-area transactions, unemployment, and unusual cash deposits, informing AML/CFT monitoring.

Analyze Raghu transactions to identify red flags for mule accounts, showing how deposits match debits online, revealing a parking account funnel and Power BI dashboard's role in flagging suspicious activity.

Apply your newfound skills from this Power BI for compliance course to boost your current job and future endeavors, and continue learning to make a positive impact wherever you go.