ALM Analytics

Overview

Objective Data

Building an objective feedback mechanism into your development process allows project managers to quickly and accurately adapt and respond to problems during a project. In addition, it can provide valuable insight to upper management by reviewing a single project or comparing data across multiple projects, allowing areas for process improvement to be identified and analyzed – and ultimately improved for future projects. ALM Analytics is a flexible and efficient way to implement that feedback mechanism and leverage the data you already have.

Unified View

Since data is being pulled from a variety of SDLC tools where project naming and other metadata may be standardized across platforms, ALM Analytics provides the framework to unify reporting across all of your SDLC tools with a common ALM reporting project. The ALM project structure also facilitates the grouping of projects and summary reporting by various user defined classifications such as division, portfolio and application type.

Enterprise Ad Hoc Reporting

ALM Analytics comes bundled with an industry-leading enterprise reporting tool to provide unparalleled ease of report creation. ALM also utilizes an enterprise-ready ETL tool to move data from a centralized transactional operational data store. This ETL tool gathers, consolidates and tracks data from all of the input source repositories, and consolidates it in a reporting centric data warehouse.

ALM Analytics delivers:
  • An objective assessment of project status and overall development organization capabilities.
  • A single location for all Software Development Life Cycle tool based metric reporting.
  • The ability for projects from various tools to be grouped together in a variety of ways.
  • Ready to run reports, as well as the ability to create custom reports based on a series of intuitive and targeted data reporting universes.
  • The ability to view and analyze data over time.
  • Access to cross tool metrics based on data from multiple software development life cycle tools.
  • The ability to integrate additional data sources into its data warehouse.

As important as advanced methodologies and software development lifecycle tools have been to technology organizations over the last 10 years, the ability to utilize the data from these systems will have an even greater impact over the next 10 years. The data is already there and the need for it is critical. You can gather it manually, or ALM Analytics can gather, organize and present it in an intuitive and actionable format.