![]() ![]() And scoring can include scoring against competitor products and product features. Being able to weigh your options makes decision making manageable. For example, if you're building a camera, you will have different product versions based on lens types, with different focal lengths, pixels, and screen options. Scoring products and product features is incredibly powerful, particularly with hard goods that have many features. ![]() Changes to product, package, and feature rules can be automatically reflected in the product walk. Using a good product decision analytics platform can see this process automated. This feature helps explain the difference between each product in a product line. Product walks let planners play with product data to see how products in a product line change from one product to the other. These types of quick-view analytics help product planners efficiently weigh what's possible with customer and market demands. In this example, you can see the BMW i configuration with the least and highest horsepower or weight.īelow is an example of a snapshot-view specification report based on cost. You can further drill down and see sample variant content that makes up the product's lowest and highest value for that specification. With a spec report, you can look across products within a product line and see the range of specific variables (eg, horsepower or weight.). LEARN HOW: Reducing Complexity and Financial Waste in Product Manufacturingįor example, the BMW 3-series is a product line with multiple products (i, i with xDrive, etc.). You can use this to look at products within a product line to analyze and validate variables such as cost, weight, horsepower, decibels of a sound system, etc. It's the range of roll-up calculation of numerical attributes of the features across all buildable variants of a product. Spec reports compare the specifications of the different product offerings being considered. So how exactly do these analytics help product planners make good decisions? Specification Reports Buildable Combinations - Allows planners to aggregate product data to reveal how many possible buildable combinations exist based on the number of specifications and features.Scoring - Allows planners to weigh variants based on set criteria. ![]() Product Walk - Allows planners to consider the capabilities of products or product features in a product line.Specification Reports - Allows planners to consider a range of numerical elements, such as weight or cost, from lowest to the highest value.There are four key decision analytics and visualizations we can deliver. 1) Data is calculated based on the project variants entered 2) Visualization of the data is automated for planners to contemplate and manipulate for further discovery. We empower product planners to spend more time contemplating options, and less time sifting through incredible amounts of raw data. We have developed the first tool on the market to deliver this kind of instantaneous information. Imagine if you could ask product feature questions against all the possible feature scenarios of a product you are planning and instantly gain insights that help you make better decisions. ![]() We refer to this as product decision analytics. There is a new way of analyzing a product's definition across an entire product line, offering data visualizations to help planners make informed decisions like never before. There is a strong need for decision analytics to help inform decisions, reduce complexity, and increase speed to market.Ī product planner's goal is to define a product that customers and the market demand, that engineering can design, and that manufacturing can produce. These products are often made up of countless individual feature sets, packages, and options, adding to the complexity of products. Within the manufacturing world, product planning teams are chartered to define new products to meet customer and market needs. ![]()
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