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GoldMine Demos

▪ GoldMine Corporate Edition and Goldmine Premium Edition Flash Walkthrough
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HEAT Demos

▪ Request a HEAT Service & Support Demo CD

▪ Test HEAT - Interactive Online Demo

▪ HEAT Service Center Walkthrough

▪ HEAT Call Center Walkthrough

▪ HEAT Asset Tracker Walkthrough

▪ PowerDesk Walkthrough

▪ HEAT PowerDesk Evaluation Download
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Unique Analysis Features


Customer Reporting & Analysis Financial Reporting & Analysis Sale Reporting & Analysis Web Traffic Reporting & Analysis
Dynamically segment top 3rd customers that spent below a threshold amount on a specific product category for current quarter Monitor aging trend of A/R by tracking gross amounts of Accounts Receivabls vs. the aging for multiple time periods Model contribution of categories to total sales & profit using statistical models for use in vender price negotiation Dynamically segment visitors into buckets based on any slection criteria such as demographics & profitability using custom groups
Correlate product affinities & profiles of all married customers to high value married customers to identify cross-sell products Calculate the percent variance between various forecasts & against actual amounts of all account types Determine the probability of products selling together using market basket analysis to optimally design store layouts to maximize sales Correlate navigation paths to conversion rates to determine the most popular routes to checkout with a path analysis tree
Develop a profile of lost customers to identify wihch profitable customers might be at risk of leaving in the next quarter Create aggregated custom groups to present financial information at a higher level & drill down to see transactional level details Proactively monitor inventory levels & sales to be notified when levels are low & automatically place order with supplier Drill anywhere to click level data to identify at which points visitors are entering & leaving a website
Calculate profit contribution to medium income customers in VA to overall profitability in the Northeast region Dynamically define exceptions on KPI's to monitor & catch financial anomolies, thereby reducing financial risk Forecast effectiveness of campaign combining historical data with market share analysis using time series analysis to optimally allocation resouces by region Calculate profit contribution visitors from different referring sites using custom statistical models to correctly allocate advertising budgets
Dervice migration patterns of customers between high RFM brands to lower ones for any two given time periods Create boardroom-quality financial documents and incorporate multiple reports into signle view, allowing analysts to make decision to complete information Create executive dashboards by combining multiple grids, graphs & other information on one document using advanced formatting features Measure "stickiness" of your website by analyzing visitor loyalty & frequency scores over time & correlating to traffic patterns
Forecast campaign ROI by measuring & extrapolating campaign results in real-time of previous similar campaigns & similar target group Perform Time-based Comparisons of the Balance Sheet for a specific corporation between two given time periods Drill across to transaction data to correlate leads with opportunity age to identify accounts that need escalation Forecast demand for online products based on historical data & time series analysis to ensure correct inventory level

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