Category: What’s New

The Customer Distributions node now allows: (a) solo Distributions to be named, and (b) multiple Customer Distribution nodes to be chained together.

The new Tune Scenarios node tunes a Market using data from several historic observations.

A Product’s output Capacity may now be limited by manufacturing constraints or by inventory levels. Several nodes have been enhanced for Capacity Constraints, including the: (a) Product Generator, (b) Simulate Market, (c) Price Maximize, and (d) Tune Scenarios nodes.

Scientific Strategy is now an official KNIME Technology Partner. All software updates should now be downloaded directly from the KNIME Update Site.

The Customer Distributions node has deprecated the ‘Uniform’ and ‘Ordered’ Types and replaced them with the new ‘Linear’ Type. In addition, the node: (a) now allows maximum and minimum limits to be imposed upon the Distribution output, and (b) has implemented about 10 new Distribution Types.

The Matrix Distributions node now allows the user to set a Default Correlation for the generated Output Customer Distributions from the Configuration Dialog.

A number of nodes have been enhanced so as to recognize two types of Dynamic Cost: Cost To Serve (CTS) and Cost To Make (CTM).

Version 3.7 of the free Market Simulation (Community Edition) includes 8 new KNIME nodes: the Bundle Generator node, Price War node, Scale Distributions node, Scale Purchased node, Scale Demographic node, Tune Market node, Demand Curve node, and Price Sensitivity node.

Premium Nodes are not available as part of the free Community Edition. Premium Nodes help clean and connect real-world data to Market Simulations, and provide advanced Market Science analysis.

The Market Simulation nodes now recognize two types of Dynamic Prices: Price Adjustment Fixed (PAF) and Price Adjustment Variable (PAV).

The Porter’s Five Forces framework is a strategic tool for analyzing the competitive dynamics in a market. These five Market Simulation Case Studies analyze each of the forces that impact a company’s ability to make a profit.

Teaching competition is hard. How can students learn about competition in the real-world? Case Simulations to the rescue! Case Simulations = Case Studies + Market Simulations. Problem-Based Learning becomes active for Business and Economics students when they use Case Simulations.