Standardising Data Analysis and Information Reporting
The primary purpose of any information system must be to support operational use of the information it collects. That’s why IMSMANG was designed with a robust reporting and analysis component that supports various reporting options. These options include:
Table 15. Comparison of IMSMANG Reporting Options | ||||
Basic | iReport | Data export | External reporting tool | |
Description | Includes printing field reports, current views and maps | Includes building iReport templates for more sophisticated reporting as well as exporting data for use in external tools such as Microsoft Excel | Includes exporting data to CSV format for use in Excel as well as cutting and pasting from tables. | The most complicated kind of reporting where users connect to backend databases using SQL, Crystal Reports, ArcGIS Desktop, etc., to perform queries and generate reports |
Uses | Navigating data in IMSMANG
General summaries of pre-provided data |
*Lists and summary reports of single items
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*Manipulating data using external tools
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*Linking or exporting IMSMANG data for use in external tools
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Benefits | *Fast and easy to use
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*Can limit data using searches
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*Easiest way to get IMSMANG data into Excel
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*Most powerful and customisable way of accessing data for reports
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Challenges | *Reports are simplistic
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*Limited customisation of resulting data (formats, conditional display, etc.)
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*Limited customisation of resulting data (formats, conditional display, etc.)
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*Requires expert level understanding of SQL |
Basic iReport Data export External reporting tools Description Includes printing field reports, current views and maps Includes building iReport templates for more sophisticated reporting as well as exporting data for use in external tools such as Microsoft Excel Includes exporting data to CSV format for use in Excel as well as cutting and pasting from tables. The most complicated kind of reporting where users connect to backend databases using SQL, Crystal Reports, ArcGIS Desktop, etc., to perform queries and generate reports
Uses
Navigating data in IMSMANG General summaries of pre-provided data Lists and summary reports of single items Simple cross tabs Monthly progress reports for internal consumption Any report where the data is more important than the formatting Manipulating data using external tools Pivot tables and charts based on one item Linking or exporting IMSMANG data for use in external tools Building customised reporting tools for IMSMANG data Linking data to ArcGIS Desktop, Crystal Reports and other tools
Benefits Fast and easy to use
Requires little or no training
Can limit data using searches
Can be preformatted and available on a network
Backed up and stored
Users can simply run these reports as opposed to building them
Supports charts
Easiest way to get IMSMANG data into Excel
Can manipulate data in common applications Most powerful and customisable way of accessing data for reports
Can manipulate data in advanced or custom reporting applications
Can be linked with external databases
Challenges Reports are simplistic
Limited to printing and reports provided with the software. No customisation.
Limited customisation of resulting data (formats, conditional display, etc.) Not ideal for incorporating multiple reports together within a larger report Only works with one item at a time Process is conducted outside of IMSMANG and so not controlled Requires expert level understanding of SQL
Basic Reporting
IMSMANG provides several reporting options that allow users to produce basic reports directly from IMSMANG. These include printing field reports entered into the system, maps from the main navigation window and item current views for summaries of items. Any of these reports can be sent directly to a printer or to an intermediate format such as rich text format (.RTF) or portable document format (.PDF) for transmitting in electronic format or for further editing.
IMSMANG also includes a Map Layout manager that allows users to define map layouts and print high-quality maps with IMSMANG data. Information managers can define map layout templates that include scale bars, annotations and legends or use more sophisticated tools like ArcGIS Desktop to prepare more complicated map layouts for displaying IMSMANG data.
Figure 25. Example of a Map Layout Template
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Embedded Reporting
IMSMANG supplements the basic reporting options available to all users with several more sophisticated reporting tools that are embedded within the system. In addition to reporting on individual elements, these embedded tools allow for statistical and aggregate reporting of data within the database. Instead of reporting the contents of a single report, statistical reporting allows information managers to produce reports about multiple items and to use functions such as sum, average and count to summarize data.
There are two options for embedded reporting: iReports and data export. Both functions rely on IMSMANG searches to filter data. Using iReports, information managers can build reporting templates to visualize data in a specific and repeatable format. Using data export, managers can export search results to an external tool such as Microsoft Excel and perform aggregation and statistical analysis.
iReports
With the iReport tool, information managers have access to an entire suite of report generation functions. iReport provides the ability to design report templates from the desired data elements; add page layout and formatting information including images, colours and text; and import the reports into IMSMANG for data entry personnel to run. Information managers can also design complex reports to summarize data using sum, count, average, subreports and other statistical reporting functions similar to packages such as Crystal Reports. Being fully integrated into IMSMANG, iReport can be translated into any language supported by the system. Using this approach, only information managers are presented with the complexity of designing reports while traditional users simply have to select a report (and any preceding search) and run it.
Typical uses for iReport include producing reports commonly required by multiple users within a programme. These reports can include:
clearance: monthly progress reporting MRE: number of people trained by type of training hazard: sum of hazardous area by province or type of hazard accidents: number of accidents by type or by province data quality: number and list of hazards with incorrect status
Because iReport templates are initiated with a search, they provide a scalable reporting solution that allows one template to be developed for many reports. For example, a report template that shows number of hazards and size of hazards by province can produce different reports depending on the search parameters.
Figure 26. Report Example Using No Search Parameters
In the first example, no search parameter is applied and all data in IMSMANG is used in the report. But by adding a search parameter, for example, limiting this to hazards whose status is active, a different report is generated.
Figure 27. Report Example Using a Search Parameter
Moreover, if the hazards are further limited to hazards that are minefields (excluding UXO and battle areas), another report is generated, all using the same template. In this way, information managers can build templates and searches to fulfil multiple reporting needs.
Reports created with iReport can be printed directly within IMSMANG or saved to an intermediate format such as .RTF, .PDF or .XLS for electronic transmission or additional editing or inclusion in other reports. iReport supports the inclusion of charts, images and headers and footers, and it acts as a complete reporting package similar to Crystal Reports.
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Data Export
IMSMANG also provides data export functionality designed to allow users to export data to external tools such as Microsoft Excel for additional reporting and analysis. This lets users take advantage of functionality in these tools such as sums, counts, charts, pivot tables and other data manipulation functions to format and present data. Users access this functionality by performing a search in IMSMANG and then exporting the results to .CSV format. Users can choose which columns to export, and the data can be manipulated in any external tool that supports .CSV.
Because data export is initiated with a search, it provides a flexible approach for getting data to an external tool. However, once the data is used in a tool outside of IMSMANG, it is impossible to control how this data is manipulated which may limit the consistency of reports produced in this way.
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External Reporting Tools
IMSMANG also allows information managers to connect advanced reporting tools such as Crystal Reports or ArcGIS Desktop directly to its relational database for highly advanced report generation. With this capability, information managers can use custom reporting solutions to connect with IMSMANG, allowing for complete control of IMSMANG outputs. Or, managers can modify existing reporting solutions to connect to IMSMANG, which leverages technology already implemented in the programme and limits the need for retraining.
Using external reporting tools is a complex activity requiring an advanced understanding of SQL, reporting tools and the IMSMANG data model |
Connecting External Reporting Tools
The process for connecting external reporting tools is essentially the same for all tools. External tools connect to the IMSMANG relational database via an ODBC connection. Information managers establish this connection by installing the ODBC driver for MySQL. When this is complete, information managers can connect any ODBC-compliant tool to the IMSMANG database, including reporting tools, other database packages and SQL management tools. Examples include:
Reporting tools Database packages and SQL management tools
- Crystal Reports
- ArcGIS Desktop
- iReport
- Microsoft Excel
- Microsoft Access
- OpenOffice Base
- Microsoft SQL Server
- Oracle
- MySQL Query Browser
- Navicat
- TOAD SQL
- Heidi SQL
When connecting an external reporting tool to IMSMANG, it is recommended that information managers build database views within the database to do any necessary data transformations. While it is possible to directly import or connect IMSMANG database tables in external tools and perform transformations within the external tools, the recommended method is to do transformations within the IMSMANG database using database views and then import the resulting views into the external tools.
Building database views to transform data before importing it into other tools significantly reduces the performance hit associated with connecting external tools |
Building Database Views
Building database views is the primary way of transforming data to support external reporting. Information managers can use SQL editing tools to build and save database queries as views that can be used to format data for easier reporting. Using database views, information managers can join data together into flat tables that allow for easier incorporation into reports or other analysis tools. Database views act like database tables and can be imported or queried from external tools. Moreover, views automatically refresh as data is added to IMSMANG and provide an up-to-date data source for other applications.
Using database views, information managers can perform statistical and other operations on the IMSMANG set for reporting purposes including sum, count and average or more complicated functions available in SQL. These operations can be combined with search criteria to provide a highly precise mechanism for providing data to reports. For example, information managers can create a view that returns the name of each clearance and a sum of the hours worked, AP mines found and area cleared on all progress reports linked to each clearance.
Clearance ID Area cleared AP mines found Hours worked Number of progress reports CL-1022 23,400 45 120 4 CL-1239 22,330 42 160 6 CL-2345 1,920 4 20 1
This view could then be pasted into Excel, linked with additional IMSMANG data or external data or linked with a map to provide additional analysis. As such, database views provide a powerful way of formatting and analysing IMSMANG data.
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