Page 6 - Unanet AE: Creating Analytic Models Using Query Builder
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LESSON 1: QUERY BUILDER OVERVIEW



               Learning Objectives



               Explain the query data process.


                   •   Describe a query developer’s responsibilities.
                   •   Recall necessary permissions for building queries.
                   •   Identify the data sources for building queries in Unanet A/E.



               Overview

               Querying data with an analytic dashboard provides a powerful means to extract
               actionable information from complex datasets, empowering users to unlock the full
               potential of their data resources.


               Query Designer Roles and Responsibilities

               A query designer for an analytic dashboard is an individual responsible for designing,
               building, and optimizing the queries that retrieve and process data for the dashboard's
               visualizations. This person typically has expertise in data querying, data modeling, and
               understanding the underlying data sources.


               The role of a query designer for an analytic dashboard may involve the following
               responsibilities:

                   •   Data Analysis and Requirements Gathering: The query designer works
                       closely with stakeholders, such as business analysts or dashboard users, to
                       understand their data requirements. They analyze the desired metrics, KPIs, and
                       dimensions that need to be visualized and make informed decisions on how to
                       structure and retrieve the relevant data.
                   •   Query Design and Development: The query designer translates the data
                       requirements into actionable queries. They use query design tools or
                       programming languages, such as SQL (Structured Query Language) or
                       specialized query builders, to construct queries that retrieve the necessary data
                       from the underlying data sources. They optimize the queries for performance and
                       efficiency, considering factors such as data volume, complexity, and response
                       time requirements.
                   •   Data Transformation and Modeling: The query designer may be involved in
                       data transformation tasks, such as aggregating, filtering, joining, or creating





               Lesson 1: Query Builder Overview                               ©2023 Unanet. All rights reserved.   6
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