By some estimates, a business will experience a three-month lag between the time a report is produced and the point at which the enterprise sees improvement or results from the changes the report recommends or predicts. If the reporting is unclear or unconvincing, the recommendations may never be implemented and the report will sit in a file on someone’s computer.
‘Understanding relationships in data can help users understand the root cause of a problem, targeting an issue or opportunity.’
There are many ways in which a business can improve the effectiveness of its reporting but, perhaps the easiest and most effective way is by producing clear, insightful results that point the way toward action and change.
In this article, we discuss three (3) factors of self-serve reporting access and cross-tab, business intelligence reporting tools that will improve reporting and provide access to the very vital information used for analysis and decision-making.
Cross-Tab Reporting Designed for Business Users
Self-Serve BI tools with cross tabular reporting provide a 360° view of the business to provide objective metrics and help users to quickly determine whether the organization, department, or team is achieving its goals. Integration with data extraction, cube management features, and ad-hoc queries and BI reporting ensures a clear view of performance. Business users have access to analytical tools that can produce summary, detail, graphics, charts, and reports with ease to satisfy weekly, monthly or other reporting requirements. Users do not have to wait for IT or data scientists to create reports but rather can dive in and explore data, visualize and produce reports that will best represent results and support conclusions and recommendations.
Flexible Views, Filters and Report Formats
Provide users with sophisticated, complex functionality in a simple user interface that is integrated with enterprise systems and sources and provides precise, cross-tab or tabular reports without technical assistance.
- Dynamic analysis design
- Interactive, easy-to-use analysis design wizard
- Multiple page dimension filter
- Runtime retrieval parameter on loading analysis
- Drill-up, drill-down and through
- Graphical view of analysis
- User defined rows and columns
- Spot lighters with color
- Data Value – Display Value Mapping
- Sorting and ranking of rows and columns
- Group and ungroup rows and columns
- Value mapping for user friendly display of data
- Access to central cube repository objects
- Cell notes and table notes with private or public option
- Cell format with resizing and renaming
- Sharing and Publishing
- Exports: PDF, CSV, XML, JPEG, XLS
- Publishing and Delivery agent
Interactive Features and Personalization
When you consider data democratization and rolling out a BI tool or analytical solution to your team members across the enterprise, you have to think about how to ensure that team members can easily adopt analytics and use them in their day-to-day tasks with a clear understanding of the results. Static dashboards and restrictive analytics reporting can confuse a user and undermine the goals of a data democratization and business user analytics initiative. A solution that provides flexible reporting and ad-hoc queries will help your team members gather, analyze and understand data and results. Look for a solution that provides cross-tab analytics for a deep dive analytics experience that will help your users leverage data and gain confidence in the use of an analytics solution. Cross-tab reporting provides a view of multi-dimensional data and the ability to perform ad-hoc queries to gain a clear view of performance, deep dive into your data, and easily slice and dice data, to find and understand relevant Information. It simplifies complex data operations, summary operations, time series functions, filters and custom column expressions.
‘A business can improve the effectiveness of its reporting by producing clear, insightful results that point the way toward action and change.’
With cross-tab analysis users can analyze the relationship between or among two or more variables and to summarize data in rows and columns and easily see the intersection of data points. Understanding relationships in data can help users understand the root cause of a problem, targeting an issue or opportunity. The enterprise can use this insight to manage business and identify patterns, trends, and sensitivity for things like pricing and more.
Find out how Self-Serve Business Intelligence Tools and Deep Dive, Cross-Tab, Flexible Reporting Tools can support data democratization and improve your business results. Let us help you achieve your vision and improve productivity and insight across the organization.Share