AI for Revenue Analytics

Giving data teams the power to equip their peers with self-service

Data leaders need to keep their focus on strategic priorities, and not be sidelined by ad hoc requests. Enter Rasgo. Finally, business units can self-serve their own data insights using generative AI.

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Challenges facing Data Leaders

Everyone needs help

Data teams are inundated with requests.

BI isn't enough

BI tools can’t always find answers fast.

Data is locked up

Other teams desperately need access.

Enter Rasgo

Rasgo puts the power of deep-dive data analysis into the hands of everyone. It’s specifically designed for multi-variable data sets, using the company’s own enterprise data warehouse.

With Rasgo, business units are no longer in “reactive mode” – they control their own destiny.

What caused us to miss our sales performance targets last year?

Illuminate sales performance

Revenue is the company's lifeblood, and understanding sales performance is critical.

  • Every stage of the sales funnel must be transparent
  • KPIs must be carefully tracked
  • Finance teams gain full visibility into every aspect of the funnel in seconds.

Understand customer acquisition patterns

Identifying sales conversion patterns requires mastery of a whole new set of variables and inputs.

  • Must know seasonality, changing markets, and geographic variations
  • EDW contains the answers but hard to access
  • Finance get answers to point-of-sale questions with a simple, consumer-grade UX.

Could you compare the fastest growing product categories in terms of revenue with the previous year?

What is our revenue actuals versus expected, and if there is a delta, which accounts are delinquent or outstanding?

Speed up revenue reconciliation

Revenue is the company's lifeblood, and understanding sales performance is critical.

  • Operating capital can have unexpected variances
  • Tracking down those variances can take countless hours
  • Rasgo surfaces answers instantly.

See the power of self-service AI in action.

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Demystify pricing

Creating pricing strategy for a Fortune 2000 organization can be like trying to catch lightning.

  • Multiple structures, business units, and subsidiaries
  • Complex product hierarchy with no simple way to find patterns and insights
  • Rasgo recovers critical insights from inside the EDW fortress.

Can you help compile a yearly popular product chart by price?

What kind of sales trends should I expect for our new lawn and patio division?

Nail forecasting

Forecasting must account for incredible complexity with multiple data sources.

  • Constantly changing variables such as staff turnover, market volatility, and product-specific sales cycles
  • Requires advanced analytics, machine learning, and predictive modeling
  • Finance teams solve forecasting problems without being trained data analysts.

Track profitability

More than ever, finance teams need instant answers to P&L questions.

  • Retention/churn across the install base
  • Customer lifetime value, EBITA, and cash flow
  • Finance teams find critical answers in seconds.

What caused us to miss our sales performance targets last year?

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