Product Summary

signalsfromnoise® (sfn) is Lightfoot's unique proprietary statistically based data engine that can be used to uncover hidden insights from within clients data across any process from any data source.

Whilst there are many SPC based tools on the market sfn is different to all others because of its patented cyclical and trended adjustment ability.  When applied to clients' data this ensures that seasonality is taken into consideration and therefore ensures that clients truly understand what is normal within their data and consequently do not waste time and effort investigating normal events but focus on those that are truly outside the norm.

• Dials let you see at a glance how your process is performing.

• sCharts allow you to view your performance, the mean, the upper and lower control limits based upon 3 standard deviations from the mean.  The chart will identify when a data point goes outside the normal corridor of performance and or when statistically there has been a change in process performance via a run of seven consecutive points above or below the mean.  The sfn solution can be set to alert users to each of these via email.

• Pareto charts allow you to analyse the key components of the sChart by their order of significance.  This will allow you to focus your attention upon those elements which have the greatest impact upon performance.

• Benchmark charts quickly allow users to identify those constituent components whose performance has the greatest variability or which are underperforming at a point in time.

sfn can be used to measure and monitor the performance of any process across any organisation as long as an organisation has data about the process.

Our consultants work with clients to identify the Measures and Dimensions that will be used to measure and monitor the process and build these in to the sfn instance used for that process.

User interfaces can be designed so that the user sees only what is applicable to their role.  Browser and viewer reports make for easy distribution of the information to the relevant people within the organisation.  In addition to this, alters can be automatically sent out when a signal of change is detected from within the data ensuring that early action can be taken to understand the issue and timely corrective action can be taken.