MARC details
| 000 -LEADER |
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| fixed length control field |
03127nam a22002777a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250710161709.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250710b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
TUPM |
| Language of cataloging |
English |
| Transcribing agency |
TUPM |
| Modifying agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
BTH T 58.5 |
| Item number |
B67 2025 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Borja, Samuel. |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
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| Title |
A framework for dynamic metrics tracking and data visualization/ |
| Statement of responsibility, etc. |
Borja, Samuel.-- |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Manila: |
| Name of publisher, distributor, etc. |
Technological University of the Philippines, |
| Date of publication, distribution, etc. |
2025. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
x, 131pages: |
| Dimensions |
29cm. |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Bachelor's thesis<br/><br/><br/> |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
College of Science.--<br/> |
| Degree type |
Bachelor of science in information technology: |
| Name of granting institution |
Technological University of the Philippines,<br/> |
| Year degree granted |
2025. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographic references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
The integration of technology in modern businesses and organizations has become<br/>significant, and having a reliable way to track metrics and access insights in real-time is<br/>fundamental for making informed, apt, and data-driven business decisions. As a response<br/>to these advancements, the study entitled, “A Framework for Dynamic Metrics Tracking<br/>and Data Visualization” explores the development of a structured framework for dynamic<br/>metrics tracking and data visualization using a powerful out-of-the-box tool from Microsoft<br/>Power BI which provides functionalities for data integration, transformation, and<br/>presentation. The system consolidates data from multiple enterprise platforms such as<br/>SharePoint, Jira, OpsGenie, and SQL databases into unified, interactive dashboards<br/>customized based on business needs. These dashboards created in a unified platform<br/>provide actionable insights into key performance indicators (KPIs), and this enables<br/>decision-makers, executives, and even non-technical users to identify inefficiencies,<br/>monitor trends, and make timely interventions that support the annotations team and<br/>continuous improvement team. Python and Power BI are the essential tools used to develop<br/>this framework following a structured methodology for implementing visualization<br/>strategies, building data models, and improving reporting processes. A survey instrument<br/>based on ISO 25010, an evaluation instrument based on Functional Suitability and<br/>Reliability to identify the level of adequacy of the system was used to assess the final<br/>output. The results from the live working environment highlighted that the system met<br/>expectations in terms of ease of access, data accuracy, and visualization quality. The<br/>framework was rated with an overall mean of 4.8 described as “HIGHLY ACCEPTABLE”<br/>by the stakeholders who regularly interact with the metrics, indicating its usefulness in<br/>enhancing transparency, organizational responsiveness, and performance monitoring. This<br/>study provides a model and guide for organizations that want to utilize and maximize<br/>business intelligence tools for data governance and operational administration. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data integration |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
OpsGenie |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Functional suitability |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Bachelor's Thesis COS |
| Suppress in OPAC |
No |