InetSoft Product Information: Reporting Software - Balanced Scorecards

InetSoft's reporting software comes equipped with balanced scorecards for reports that can be set up to provide critical up to the minute updates as often as needed. View the information below to learn more about the Style Intelligence solution.

A scorecard is used to keep track of certain parameters (e.g., Sales Revenue). Multiple users can monitor these parameters from the Report Portal. These parameters (metrics) can also be measured at regular intervals (triggers). They can be checked against certain conditions (thresholds, time comparisons, custom business logic etc.) to which they must comply.  If they don't, specified actions can be automatically taken (email notifications, etc.). The metric, trigger, conditions and other settings are collectively handled as a target. A scorecard is thus a collection of one or more targets.

Consider the following use of a scorecard: A company aims for a 2% increase in sales revenue every month. A sales manager wishes to closely monitor this metric to ensure a sustained increase in the revenue. We create a data asset (in the Asset Composer) which calculates the total sales revenue of the company for each month. We create a metric based on the 'Revenue' field of this asset. We optionally associate a detail report with this metric, based on the asset (e.g., a chart plotting the sales revenue on the Y-axis and month on the X-Axis).

balanced scorecard for reports

We set up a target with a trigger to evaluate this metric on a monthly basis. We specify a condition which checks for a 2% increase in revenue in the previous month from the month before. If this condition is not met we can set up notifications to the sales manager, which can be accompanied by the detail report. The sales manager can subscribe to this target and can constantly monitor it from the InetSoft Report Portal. They can also drill down into the metric to view the detail report at any time.

InetSoft Viewpoint



"Having the ability to aggregate and cleanse information across these different environments is so important. In addition, and what we have seen isthat organizations are beginning to create separate operational data stores, set up different data marts and data warehouses to support all the needs they have across an organization. And that is causing increased cost for organizations, also.

And the drive behind dynamic data warehousing, we’re seeing, is that there is an increased need for analytic tools within various different business applications. In addition what that means is companies are starting to increase the usage of data warehouses and data marts and operational data stores that they have been creating across their organization, which is placing new demands, new demands that traditional warehouses are not able to address.

And that is why companies need to these dynamic data warehousing solutions so that they have the ability to support these mixed workload environments, recognizing that a user using a back office analytic application or management report has different response needs than a call center user that is running a production report or needs information to address a customer when they have that customer on the phone.

So it is being able to provide a complete BI platform that can address all those different needs across the business, because you’re not achieving operational business intelligence, unless traditional strategic and tactical planning is supported across the entire organization." - Luke Liang, CEO, InetSoft

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