Ad hoc reporting refers to the process of generating reports on an as-needed basis, rather than using pre-defined templates. It requires specialized skills in data analysis, query building, and report design to quickly access, analyze, and present data in a meaningful way. Ad hoc reporting is often used in business settings to support decision-making and provide insights into ongoing operations.

Data Analysis is the ability to inspect, cleanse, transform, and model data with the goal to discover useful information, inform conclusions, and support decision-making. This skill involves applying various analytical methods to interpret datasets, identify patterns, and extract meaningful insights. Professionals with this skill contribute to evidence-based decision-making by presenting clear and actionable findings derived from complex datasets.

Data Reporting refers to the process of collecting, organizing, and presenting data in structured formats for analysis, communication, or compliance. It involves the use of tools and methods to generate summaries, dashboards, and performance indicators based on data inputs. The skill supports decision-making by transforming raw data into actionable insights through scheduled or ad hoc reports.

Decision Support Tools refers to software applications and analytical systems designed to assist users in evaluating information and making informed decisions. This skill involves configuring data sources, building analytical models, creating dashboards and reports, and integrating tools with business processes. It is used to provide timely access to relevant information, facilitate scenario analysis, and support evidence based decision making across organizational functions.

Reporting and Analysis involve the generation of reports combined with the examination of data to derive actionable insights. They are used to monitor performance, identify trends, and support strategic planning.