Task Analytics

CentriQS provides users with Task Analytics OLAP cube that allows analyzing employee performance, project progress and other parameters from multiple perspectives. Users can work with Pivot tables to group analytical data, visualize it on charts of various types or gather Pivot table and most frequently used charts on one dashboard.

	Creating Task Analytics Reports
Task reporting is the final step in creating task analytics. Reporting means reviewing results of the task monitoring activity to develop a task analytics report that summarizes data on tasks and their performance by certain parameters and for a specific period.

	Task Monitoring – Track Information on Current Status and Results of Tasks
Task Monitoring is the second step in creating task analytics. This step aggregates and analyzes gathered data about tasks to create a kind of presentation for decision making.

	Task Data Gathering – Capture and Log Input Data for Task Analytics
Task Data Gathering is the first step in creating task analytics. It is about collecting, capturing and recording any information that appears to be essential to task analysis.

	Visualize Task Performance through Charting
Charting in task analytics helps create a visual representation of task data for performance analysis, monitoring and forecasting. It is an effective task analytics tool that plots various factors on a graph to visualize current task behaviors and provide input data for creating performance forecasts and trends.

	Carry Out an In-depth Analysis of Task Performance through Hierarchies
A thorough analysis of task performance can be carried out with use of OLAP cube. The dimensions of such a cube create hierarchies of task attributes, and through summarizing each of the dimensions it is possible to understand what task attributes of what hierarchy cause current failing/winning task performance.

	Multi-dimensional Analysis of Tasks through OLAP Cube
Analysis of tasks by multiple indicators and parameters ensures weighted decision making because it allows gaining a better understanding of task state and performance. OLAP cube is an analytical method that makes it possible to use multi-dimensional task analysis.

	Viewing task data in various ways through Pivot Grid
One of the ways to gain task analytics for decision making is to use pivot grid within an OLAP cube model. Pivot grid is a two-dimensional spreadsheet that consists of task attributes used as measures and dimensions for OLAP cube.

	Accomplish Goals with Full Task Analytics
Successful accomplishment of goals can be reached when all tasks relating to these goals are successfully done. Task-based goal accomplishment is widely used by many organizations to manage business activities and projects.

	Use KPIs to Reach Optimization in Task Performance
KPIs are special measures in task analytics to evaluate employee performance over a fixed time period. They report on the employee’s ability to reach preset objectives or plans.

	Keep Track of Your Activity to Avoid Delays and Overdue Tasks
Activity tracking allows you to explore and improve your performance. It helps prevent such probable troubles as delays and overdue tasks.

	See the Big Picture of Task Performance through Visualizing Workload
Visualizing workload through charts and diagrams will help you see the big picture of your task performance. Workload is the amount of tasks and jobs that you are assigned to and that you need to complete over a certain period.

	Measure Your Productivity with Task Velocity Reports
Measuring productivity is a critical activity that helps you determine how fast you do your tasks and whether you adhere to your schedule. Velocity reports are used in measuring productivity to help you understand schedule efficiency.

Task Analytics
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