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Chart comparing traditional and Bayesian pricing models showing revenue effects.
Insights
Armin

RA Quick Insights: The Power of Bayesian Analysis for Pricing Scenario Modeling

If you haven’t tried #bayesian analysis to attack common business problems, I highly encourage you to explore it.

Companies’ data science curve often starts with linear regression before a giant leap to ML within weeks or months (ensemble models, even some deep learning).

In pragmatic terms, the power of Bayesian modeling comes from being able to assign probability intervals to predictions.

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Revology Analytics dashboard for sales and stack ranking analysis.
Insights
Armin

RA Quick Insights: Using Sales Stack Ranking to Grow Net Sales & Profits

Commercial Analytics, aimed at improving Gross Profits and Sales Productivity, doesn’t have to be complex to drive the proper outcomes with Pricing and Sales teams.

𝐒𝐚𝐥𝐞𝐬 & 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭𝐢𝐧𝐠 𝐒𝐭𝐚𝐜𝐤 𝐑𝐚𝐧𝐤𝐢𝐧𝐠 is another simple yet effective Revenue Analytics technique to steer Sales behavior in the right direction and drive incremental Net Sales (and Gross Profits).

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Data analytics platform for pricing, inventory, and sales optimization.
Insights
Armin

The Importance of Knowing Your Price Elasticities

Why is it essential to understand the business impact of Price changes and Promotional investments, and what are the analytical approaches to estimating Price elasticities?

With continued data proliferation and the democratization of popular Machine Learning methods among the data analyst community, knowing your Price and Promotional elasticities at the Customer-Product level is fundamental to Finance, Sales, and Revenue management.

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Data analytics dashboard showcasing sales and discount analysis for business insights.
Insights
Armin

Driving Sales & Margin Performance with Self-Serve Analytics

Many middle-market companies are struggling to do action-oriented Commercial Analytics on a real-time basis. Understanding Sales, Pricing, and Margin performance vs. corporate objectives and strategies, along with proactively identifying and quantifying quick wins for improvement, is often a multi-day reactive, knee-jerk exercise. Pricing, Finance, and Commercial leaders are reticent to invest $MMs in turnkey price analytics solutions given high costs and long lead times – not to mention lack of flexibility and adoption issues that often yield a suboptimal return on investment.

Fortunately, you can do most of the above quickly, effectively (and cheaply!) using popular self-serve BI solutions like Tableau or Power BI.

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Have a Revenue Growth Analytics pain point, a question, or a content suggestion?

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