GROWTH
Forecasting & Predictive
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UNDERSTAND
Conduct Interviews & Review Data
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NAVIGATE
Map the Future
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IMPLEMENT
Unlock Revenue Faster
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TRACK
Track Progress
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YIELD
Iterate & Evolve
Using the UNITY framework, let's explore a specific scenario that may keep you up at night...
Scenario
Your team lacks foresight. Maybe they are amazing, often crushing critical targets. Unfortunately, everything is a surprise and there's no clear way to predict future revenue which means investing in COGS is always a reactive exercise.
Identify a clear process, teach your sales team to identify queues, and see into the future of your revenue.
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Understand
Conduct Interviews & Review Data
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Assess available data sources, quality, and completeness for revenue-related data. Identify data gaps and areas for improvement.
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Align data analytics efforts with specific revenue-related business objectives, such as increasing sales, optimizing pricing, or expanding market reach.
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Establish data governance practices to ensure data accuracy, security, and compliance with relevant regulations.
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Role plays with data analytics and revenue teams to ensure effective use of technology, tools, and platforms available for data analysis.
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Navigate
Map the Future
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Define clear objectives for revenue forecasting and predictive analytics, including accuracy targets, revenue growth goals, and timeline expectations.
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Develop a data analytics strategy that outlines the approach for data collection, analysis, modeling, and reporting.
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Create a plan to integrate data from various sources, ensuring a unified view of revenue-related data.
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Create a training program for effective understanding of data and roll-ups.
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Implement
Unlock Revenue Faster
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Collect and integrate data from relevant sources into a centralized data repository for analysis.
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Establish predictive models and algorithms to analyze historical data and generate revenue forecasts.
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Create data visualization dashboards and reports to communicate insights and forecasts to key stakeholders.
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Deploy a roll-up process focused on informed and accurate projections.
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Track
Track progress
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Define key performance indicators (KPIs) related to revenue forecasting accuracy, revenue growth, and data analytics efficiency.
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Continuously analyze data and models to monitor revenue trends, identify anomalies, and assess the accuracy of forecasts.
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Regularly communicate insights and findings to key stakeholders and decision-makers.
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Evaluate the effectiveness of data analytics tools and technologies in supporting forecasting and predictive efforts.
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Yield
Iterate & Evolve
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Analyze data accuracy and roll-up performance to identify areas for improvement in forecasting accuracy.
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Develop an improvement plan based on data analysis and stakeholder feedback, outlining refinements to data analytics strategies, models, or data collection processes.
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Conduct regular working sessions to ensure consistent progress without the need for full-scale change.
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Foster a culture of continuous improvement in data analytics practices, seeking new data sources and advanced techniques to enhance predictive insights and decision-making.
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