Back to results
US 7,890,444 B2Granted
Visualization of data availability and risk
AssigneeInternational Business Machines Corporation
InventorsRobert J. Torres, James R. Rudd
Life of this patent
Estimating the term…
Abstract
The advanced data availability tool uses predictive analysis to fill gaps in a data set and then displays actual data, predicted data, and confidence intervals for the actual data and the predicted data. The advanced data availability tool has a data collection tool, a data table created by the data collection tool, a data table analyzer, a predicted data table, and an enhanced data display.
Claims9
A method comprising:
- accessing, by a processor, a data table containing a plurality of actual data;
- analyzing, by the processor, the data table to determine if there is a gap in the plurality of actual data;
- responsive to a determination that there is a gap, performing, by the processor, a predictive analysis on the plurality of actual data;
- generating, from the predictive analysis, a predicted data for the gap;
- calculating, by the processor, a metric using the plurality of actual data and the predicted data;
- calculating, by the processor, a first confidence interval using only the predicted data;
- calculating, by the processor, a second confidence interval using only the plurality of actual data;
- saving the predicted data, the first confidence interval and the second confidence interval to a predicted data table;
- and
- displaying the actual data, the predicted data, the first confidence interval and the second confidence interval.
7 more elements
A system comprising:
- a computer having at least one processor connected to a computer readable memory, a non transitory computer readable storage device, and a display;
- first program instructions for accessing a data table containing a plurality of actual data;
- second program instructions for analyzing the data table to determine if there is a gap in the plurality of actual data;
- third program instructions for performing, responsive to determining that there is a gap in the plurality of actual data, a predictive analysis on the plurality of actual data;
- fourth program instructions for generating a predicted data for the gap;
- fifth program instructions for calculating a metric using the plurality of actual data and the predicted data;
- sixth program instructions forcalculating a first confidence interval using only the predicted data;
- seventh program instructions for calculating a second confidence interval using only the plurality of actual data;
- eighth program instructions for saving the predicted data, the first confidence interval and the second confidence interval to a predicted data table;
- and
- ninth program instructions for displaying the actual data, the predicted data, the first confidence interval and the second confidence interval on the display;
- wherein the first through the ninth program instructions are stored in the non-transitory computer readable storage device for execution by a processor via the computer readable memory.
9 more elements
A computer program product comprising:
- a non transitory computer readable storage device;
- first program instructions to access a data table containing a plurality of actual data;
- second program instructions to analyze the data table to determine if there is a gap in the plurality of actual data;
- third instructions to perform, responsive to a determination that there is a gap in the plurality of actual data, a predictive analysis on the plurality of actual data;
- fourth program instructions to generate a predicted data for the gap;
- fifth program instructions to calculate a metric using the plurality of actual data and the predicted data;
- sixth program instructions to calculate a first confidence interval using only the predicted data;
- seventh program instructions to calculate a second confidence interval using only the plurality of actual data;
- eighth program instructions to save the predicted data, the first confidence interval and the second confidence interval to a predicted data table;
- and
- ninth program instructions to display the actual data, the predicted data, the first confidence interval and the second confidence interval;
- wherein the first through the ninth program instructions are stored in the non transitory computer readable storage device.
9 more elements
Dependencies are inferred from the claim text.