Report Viewing

This article presents various aspects of viewing reports.

Live Edit and Preview View

In the regular design mode, data does not show up in the elements that have data binding defined, in order to get a better view of the overall report layout. However, there are times when the design of the report is made easier by seeing how the space is used when the data is rendered on the elements.

The ‘Live Edit’ option provides a view of the report with rendered data, and allows further design manipulation. Select the ‘Live Edit’ button to switch between regular mode and live edit mode. Since a large dataset may slow down editing, the result set size is limited to 500 rows by default.

Selecting the ‘Preview’ button opens up a new tab inside the Designer and shows the completed report including all data and scripting. A number of options related to previewing are available in the Preferences dialog box. Go to Tools → Preferences... and select the Misc tab. ‘Preview server features’ enables hyperlinks and other server features inside the preview window.

‘Parameter Name Unique’ specifies whether every occurrence of a parameter name in a report refers to the same parameter. ‘Query Max Row’ is the maximum number of rows in the data result set which will be displayed, and ‘Query Timeout’ refers to the maximum query execution time consumed on the database server before timing out.

#1 Ranking: Read how InetSoft was rated #1 for user adoption in G2's user survey-based index Read More

More Articles About Reporting

Aviation MRO Reporting - A developer creating Aviation Maintenance, Repair, and Overhaul (MRO) software would design comprehensive reports to address the specific needs of the aviation industry, particularly focusing on maintenance, operational efficiency, and regulatory compliance. Here are some essential reports that developers might include: Work Order Reports: Overview: Details work orders, including tasks performed, time spent, and materials used. Purpose: Provides a comprehensive view of maintenance activities, aiding in tracking and managing aircraft maintenance tasks. Inventory and Parts Usage Reports: Overview: Tracks inventory levels, parts consumption, and reorder points. Purpose: Assists in inventory management, ensuring timely availability of necessary components while minimizing excess stock...

Evaluate InetSoft's Data Cleansing Engine - Looking for a good data cleansing engine that is part of a BI solution? InetSoft's pioneering dashboard reporting application enables real-time data cleansing connected to live data sources to power great-looking web-based dashboards, all with an easy-to-use drag-and-drop designer and SQL editor. View a demo and try interactive examples...

Job Placement Business Intelligence - Despite its success, JobMatch faced several challenges that hindered its growth and operational efficiency: Data Overload: With thousands of job seekers and employers in their database, JobMatch struggled to manage and analyze the vast amounts of data effectively. Inefficient Matching Process: The matching process relied heavily on manual work and basic software tools, leading to inefficiencies and delayed placements. Lack of Insight: JobMatch lacked deep insights into market trends, candidate success rates, and client satisfaction, making it difficult to refine their services and strategies. Competitive Pressure: The rise of advanced job placement platforms and automated tools posed a significant threat to JobMatch's market position. The Solution: Implementing a Business Intelligence (BI) Application To address these challenges, JobMatch decided to implement a comprehensive Business Intelligence (BI) application. After evaluating several options, they chose InetSoft's BI platform due to its robust data mashup and transformation capabilities, which are essential for integrating and analyzing diverse data sources...

Key Points of Style Intelligence - We believe that if you want to deliver these breakthrough applications, you need to a software platform that can give you three things. The first is the ability to store information and that information has to be more than just rows and columns, it has to be unstructured data, video all other kinds of things and we think that if you can do that in a unified way, it cuts your costs and makes the other parts of this a lot easier. The second thing we believe, the connectivity is vital. And connectivity doesn't just mean application integration, no that's the big part of it. Connectivity is also about how you connect to users and how you connect to communities whether there are other vendors or are there people surrounding your institution, you need the tools and services to be that...

Visual Analytics Charting Tools - Increasing demands on businesses leads to increasing questions being asked of data, questions where traditional static reports will just not cut it. Users need to be able to interact with their data in order to get answers to their questions in a matter of seconds. InetSoft offers many tools that allow for data interactivity and manipulation, leading to more effective data discovery. These features include but are not limited to multidimensional charting, brushing, and filtering. Multidimensional charting means being able to depict more than just two dimensions on a graph, which can be depicted on one or multiple axes. Traditional two dimensional graphs have an x and y axis and can be used to identify basic trends such as if a measure is increasing or decreasing over time, but it offers no insight as to why this might be happening...

Visualizing Big Data in Baseball - Visualizing big data in baseball has revolutionized the sport, providing teams with unprecedented insights into player performance, strategy optimization, and fan engagement. Let's explore an example of how big data visualization has transformed the way baseball is played and experienced: Player Performance Analysis Imagine a scenario where a baseball team is leveraging big data analytics to evaluate player performance and make informed decisions on lineup composition and player development strategies. Through advanced statistical analysis and visualization techniques, the team's analytics department collects vast amounts of data on player performance metrics such as batting average, on-base percentage, slugging percentage, and defensive metrics like fielding percentage and defensive runs saved...

Previous: Displaying Hybrid Data from Multiple Queries