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Contra - A professional network for the jobs and skills of the futureNavigating Cash Flow Challenges with Rapid Team Expansion

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Amerilis Soto

• Feb 20

The hiring decision that created silent pressure.

A growing team added 6 people in 4 months.

Revenue projections supported the decision. Cash timing did not.

Two structural blind spots:

• Payroll expanded permanently • Client payments were still cyclical

Cash coverage dropped below 3 months without anyone noticing.

Nothing dramatic happened.

Just reduced flexibility.

Liquidity erosion rarely announces itself. It accumulates.

Financial Analysis Business Analysis cashflow

Istiak Ahmed Khan

• 2d

This dashboard provides a comprehensive view of global B2B sales pipeline performance, enabling organizations to monitor deal progress, evaluate pipeline risk, and forecast future revenue. Built using Power BI, the solution transforms complex sales data into actionable insights for executives, sales managers, and business strategists.

Technical Implementation:

1. Power BI dashboard development

2. Advanced DAX measures for pipeline KPIs

3. Star schema data modeling

4. Interactive filters and drill-down analysis

5. Executive-level dashboard design optimized for decision makers

Data Visualization Microsoft Power BI Data Analysis Financial Analysis Microsoft Excel SQL

Sushmita Yadav

• 2d

Returns are often overlooked, but they directly impact profitability, operational efficiency, and customer satisfaction. This dashboard focuses on understanding return patterns and their financial impact.

This dashboard demonstrates how businesses can move beyond sales tracking and focus on profit protection through return analysis. Understanding why returns happen is just as important as increasing sales.

Data Analysis Microsoft Excel Microsoft Power BI SQL

Geethasree Naguboina

pro

• 1d

Return analysis is seriously underrated — most dashboards stop at sales tracking but profit protection is where the real story is. The breakdown by segment showing Home Office at 55% is a striking insight. Did you build this in Power BI or Excel?