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Unique MicroStrategy Analysis of Common Core Functions

Customer Reporting & Analysis Financial Reporting & Analysis Sales Reporting & Analysis Web Traffic Reporting & Analysis Human Resources 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 Receivables 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 based on any selection criteria such as demographics & profitability Measure employment inquiry trend in the months following a new advertising campaign
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 Identify top 3 benefits selected by employees in Northeast region & compare with worldwide average
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 your website Schedule Productivity alert for VP of Sales when each account executive has reached 90% quota attainment threshold
Calculate profit contribution to medium income customers in NY to overall profitability in the Northeast region Dynamically define exceptions on Key Performance Indicators (KPI's) to monitor & catch financial anomalies, 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 Compare employee satisfaction ratings with the previous year
Identify migration patterns of customers between high RFM (Recency, Frequency, Monetary) bands to lower ones for any two given time periods Deliver financial scorecards and reports with security filters that precisely determine which data can be seen 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 Determine total employee headcount, number of hires & turnover
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 down to transaction-level data of account by opportunity status (e.g. pipeline, commit) and escalate action accordingly Forecast demand for online products based on historical data & time series analysis to ensure correct inventory level Notify appropriate managers & VPs of pending departures with personalized emails