UNINFO Analyser-UNINFO Data Analysis

Example

Transforming invalid entries like '-' or '#NAME?' to blanks, removing unnecessary columns such as 'Outcome code' or 'Focal users', and listing all deleted columns to maintain transparency.

Scenario

Upon receiving an Excel file containing project data, UNINFO Analyser first cleans the data by removing irrelevant columns and normalizing the entries. This prepares the dataset for a more accurate and focused analysis.

Example

Listing the number of activities under different statuses like 'Finalisation' or 'Implementation', calculating total required, available, and spent resources for each outcome, and assessing the efficiency of resource utilization.

Scenario

A UN agency aiming to evaluate the progress of an education initiative might use UNINFO Analyser to dissect the financial and operational status of each educational outcome, helping to identify underfunded areas or inefficiencies in fund usage.

Example

Identifying top SDG Goals based on total available, required, and spent resources, analyzing data to list top SDG Goals based on expenditure efficiency.

Scenario

In a review session, stakeholders might leverage UNINFO Analyser to pinpoint which SDGs have been most effectively targeted by their programs, allowing for strategic reallocations and interventions.

Example

Producing detailed reports focusing on impact and resources, analyzing top SDG Goals based on expenditure, and explaining contributions from various partners.

Scenario

At the end of a fiscal year, UNINFO Analyser could compile a comprehensive report detailing how funds were allocated across different projects, the outcomes achieved, and recommendations for future strategy adjustments.