Companies analyze data across time to look for trends and make better-informed decisions based on those trends. By comparing several points of data against each other or comparing against baseline standards, you can detect anomalies and take proactive measures to bring these conditions back into the target range. The aggregated data you need to examine are called facts — numeric values that are measurable and additive. For example, unit cost is a fact and each item has a cost associated with it. If we purchase 100 products in one day, each for $5 dollars, we spend $500 in total costs. Just tracking facts isn't enough, however; you need to examine the facts under certain conditions. These “by” conditions are called dimensions. Dimensions are often time-based, for example, you can examine facts by month, quarter, or year. In addition, you can examine facts by geography or by product. Dimensions can have a hierarchy that allows you to perform drill down functions on the data. For instance, you can start by analyzing the cost by continent, then drill down to the country, and finally drill down to the individual purchasing site. Some examples of trend analysis include tracking costs by contract manufacturer, tracking failures by parts, tracking changes by product line and tracking programs to their schedule.
Portfolio Analytics includes the following components:
Product Intelligence Platform — a framework that includes the PLM Connector, ETL (extraction, transformation, and load) scripts, and the PLM Datamart
Embarcadero Systems DT/Studio — an enterprise data integration tool used to run ETL scripts that transfer data from the Agile 9.1 database to the PLM Datamart.
OLAP — online analytical processing (OLAP) software that draws information from the PLM Datamart to model and build multidimensional data sets, or cubes, that let you quickly perform analysis and generate reports.
Cubes and reports — a collection of cubes and reports that can be launched from the Web Client.
Portfolio Analytics:
Portfolio Analytics provides a platform and tools with which you can conduct multidimensional analysis on Product Portfolio Management (PPM) programs across the enterprise. PPM allows you to define a program and manage product lifecycle schedules integrated with all of Agile's PLM solutions. PPM includes advanced cross-program resource management capabilities so you can balance and allocate resources at individual, program, and pool levels. Executive Dashboards and standard portfolio, program and user reports are provided with PPM to enable visibility and analysis across programs.
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