Predictive Analytics Use Cases: Envision Success with Comprehensive Planning and Forecasting!

Predictive Analytics Use Cases: Envision Success with Comprehensive Planning and Forecasting!

When it comes to using Predictive Analytics and a self-serve augmented analytics environment, businesses often want to sell the management team on these tools by suggesting real-world use cases that reflect the needs of the organization and illustrate how advanced analytics can help business users and the organization at large with accurate, efficient insight into the planning and forecasting process, and the ability to identify trends and patterns, understand target custom buying behavior, predict fraud and loan default, combine internal and external data analytics, manage quality, improve demand planning and marketing processes and manage human resource attrition.

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Predictive Analytics Use Case: Marketing Optimization!

Predictive Analytics Use Case: Marketing Optimization!

Using marketing and advertising dollars to target the general market is not a wise use of funding. Every business today is challenged to do more with less and marketing budgets are no exception. In order to reach the right target and convert prospects into sales, a business must create and distribute messaging to the right target audience, in the right way, at the right tie.

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Predictive Analytics Use Case: Customer Targeting!

Predictive Analytics Use Case: Customer Targeting!

Even with an unlimited budget, it would not be a wise decision for a business to target every customer in the market. If an enterprise is to succeed, it must understand its products and services and it must know the profile of the customer it is targeting.

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Predictive Analytics Use Case: Demand Planning!

Predictive Analytics Use Case: Demand Planning!

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc. In order to predict and forecast and assure product or service availability, the business must also look at the dependability of suppliers, shipping and the purchasing of parts that make up the products. It must also plan for appropriate resources and training and, where necessary, plan for new products.

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