Task Management Software

PDF  Task Management Guide
New Articles New Articles RSS feed subscribe
What is a Management Dashboard?
The term Management Dashboard defines a wide range of data reporting and visualization tools or dashboards that allow using various performance & efficiency measures to report on an enterprise’s ability to organize and coordinate its activities in accordance with certain policies and in achievement of pre-determined objectives. What is a Management Dashboard?
New Checklists News RSS feed subscribe
Money Management Action Plan

In this Money Management Action Plan you can read a range of tips and suggestions that will help you manage your money in an effective manner.

Money Management Action Plan
Home » Task Analytics » Carry Out an In-depth Analysis of Task Performance through Hierarchies
Carry Out an In-depth Analysis of Task Performance through Hierarchies  

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.

Hierarchies in cube dimensions provide a deeper view into task performance. An analyst can focus on certain task attributes to determine how these attributes relate to each other and what effect they produce to overall performance of associated tasks. In essence, hierarchies show dependencies between task attributes. It is a great tool to retrieve valued data for an in-depth performance analysis of tasks within OLAP cube models.

Here are a few guidelines on how to analyze task performance through hierarchies:

  • Have tasks to be analyzed for performance
  • Identify attributes of these tasks
  • Design the fact table and the dimension table (both of the tables are based upon task attributes)
  • Build OLAP cube
  • Summarize down cube dimensions to lowest possible level
  • Create a drill-down hierarchy for the summary
  • Review the hierarchy to understand how task attributes are dependent upon each other
  • Identify what desired result is preset for task attributes of the hierarchy
  • Compare the actual result with the desired result
  • Analyze hierarchy dependencies to figure out which of the attributes cause performance gaps (if any)
  • Create a task analytics report that describes the hierarchy.

CentriQS Task Analytics Solution

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.

home contact site map my account


Copyright © 2004 - 2024 VIP Quality Software, Ltd. All Rights Reserved.