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EP-4736513-A1 - SYSTEM AND METHOD FOR AUTOMATED CHANGE IMPACT ANALYSIS

EP4736513A1EP 4736513 A1EP4736513 A1EP 4736513A1EP-4736513-A1

Abstract

The present disclosure provides a system (108) and a method for implementing automated change impact analysis in a network, comprising displaying (302), by an interface (206), a selection menu for enabling a selection of a plurality of parameters by a user (102), presenting (304), based on the selection, a list of key performance indicators (KPIs) corresponding to the plurality of parameters within the interface (206), receiving (306) a user input to select one or more KPIs from said list of KPIs and a time period for processing, determining (308), by a processing engine (208), a true average impact data corresponding to each of the one or more selected KPIs, and displaying (310), by the interface (206), a visual representation of the true average impact data representing a change for each of the one or more selected KPIs for said time period.

Inventors

  • BHATNAGAR, AAYUSH
  • BHATNAGAR, PRADEEP KUMAR
  • SHETTY, MANOJ
  • CHITALIYA, Dharmesh A
  • Tiwari, Shubham
  • Saini, Isha
  • KADAM, Hanumant
  • VIRKAR, Sneha
  • KRISHNA, Neelabh

Assignees

  • Jio Platforms Limited

Dates

Publication Date
20260506
Application Date
20240601

Claims (20)

  1. 1. A system (108) for implementing automated change impact analysis in a network, the system (108) comprising: an interface (206) configured to allow a user (102) to select a plurality of parameters and key performance indicators (KPIs) from a selection menu for examination and specify a time period and frequency of analysis; a data parameter engine (212) configured to store and manage the plurality of parameters and the KPIs; a processing engine (208) coupled to the data parameter engine (212), the processing engine (208) is configured to determine a true average impact data for each selected KPI; and a database (210) coupled to the processing engine (208) for storing true average impact data representing the change impact for each selected KPI for said time period.
  2. 2. The system (108) as claimed in claim 1, wherein a Machine Learning (ML) module is configured to identify and remove anomalies in the determined true average impact data.
  3. 3. The system (108) as claimed in claim 1, wherein the visual representation of the true average impact data is displayed on the interface (206).
  4. 4. The system (108) as claimed in claim 1, wherein the selection menu includes at least a geographic region, a list of customized cells, one or more vendors, and/or one or more technologies.
  5. 5. The system (108) as claimed in claim 4, wherein the user (102) selects the geographical region based on predefined regions or custom-defined areas.
  6. 6. The system (108) as claimed in claim 1, wherein the user (102) selects at least one vendor and at least one technology from a predefined list or enters custom specifications for analysis.
  7. 7. The system (108) as claimed in claim 1, wherein the user (102) selects KPIs for analysis based on downlink, uplink, latency, and/or total traffic.
  8. 8. The system (108) as claimed in claim 1, wherein said time period for analysis is selected by the user (102) from a set of predefined options such as per day, Billing Busy Hour (BBH), and Network Busy Hour (NBH).
  9. 9. The system (108) as claimed in claim 1, wherein the processing engine (208) filters the list of KPIs based on a pre-defined criteria.
  10. 10. The system (108) as claimed in claim 1, wherein the visual representation of change impact data is one or more of the following: a time-series chart depicting the impact for each KPI over said time period; a heatmap visually representing the change impact across selected geographic region(s) or customized cell(s); and a table summarizing calculated change impact data for each KPI.
  11. 11. The system (108) as claimed in claim 11, further comprising: generating a detailed report summarizing the analysis, including: the plurality of parameters; calculated impact values for each KPI; visual representation of the change impact data; and a table summarizing the calculated impact values for each KPI.
  12. 12. A method (300) for implementing automated change impact analysis in a network, the method (300) comprising: displaying (302), by an interface (206), a selection menu for enabling a selection of a plurality of parameters by a user (102); presenting (304), based on the selection, a list of key performance indicators (KPIs) corresponding to the plurality of parameters within the interface (206); receiving (306) an input by the user (102) to select one or more KPIs from said list of KPIs and a time period for processing; determining (308), by a processing engine (208), a true average impact data corresponding to each of the one or more selected KPIs; and displaying (310), by the interface (206), a visual representation of the true average impact data representing a change for each of the one or more selected KPIs for said time period.
  13. 13. The method (300) as claimed in claim 13, wherein a Machine Learning (ML) module identifies and remove anomalies in the determined true average impact data.
  14. 14. The method (300) as claimed in claim 13, wherein the selection menu includes at least a geographic region, a list of customized cells, one or more vendors, and/or one or more technologies.
  15. 15. The method (300) as claimed in claim 13, wherein the user (102) selects the geographical region based on predefined regions or custom-defined areas.
  16. 16. The method (300) as claimed in claim 13, wherein the user (102) selects at least one vendor and at least one technology from a predefined list or enters custom specifications for analysis.
  17. 17. The method (300) as claimed in claim 13, wherein the user (102) selects KPIs for analysis based on downlink, uplink, latency, and/or total traffic.
  18. 18. The method (300) as claimed in claim 13, wherein said time period for analysis is selected by the user (102) from a set of predefined options such as per day, Billing Busy Hour (BBH), and Network Busy Hour (NBH).
  19. 19. The method (300) as claimed in claim 13, wherein the selection menu includes a drop-down menu.
  20. 20. The method (300) as claimed in claim 13, further comprising filtering or sorting the list of KPIs based on a pre-defined criteria.

Description

SYSTEM AND METHOD FOR AUTOMATED CHANGE IMPACT ANALYSIS RESERVATION OF RIGHTS [0001] A portion of the disclosure of this patent document contains material, which is subject to intellectual property rights such as but are not limited to, copyright, design, trademark, integrated circuit (IC) layout design, and/or trade dress protection, belonging to Jio Platforms Limited (JPL) or its affiliates (hereinafter referred as owner). The owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all rights whatsoever. All rights to such intellectual property are fully reserved by the owner. FIELD OF INVENTION [0002] The present disclosure generally relates to network analysis. More particularly, the present disclosure relates to a system and a method for an automated change impact analysis. DEFINITION [0003] The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art. [0004] The expression ‘Key Performance Indicator (KPI)’ used hereinafter in the specification refers to a measurable value that provides insight into the effectiveness of an organization in achieving its fundamental business objectives. KPIs serve as quantifiable metrics, offering a means to assess, analyse, and compare performance over time. The specific KPIs employed can vary widely based on industry and organizational goals. Examples of KPIs encompass metrics such as revenue growth, customer satisfaction scores, conversion rates, and other performance indicators. The significance of KPIs lies in their ability to offer a clear and objective view of an organization's success and progress. [0005] These definitions are in addition to those expressed in the art. BACKGROUND OF THE INVENTION [0006] The following description of the related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the understanding of the reader with respect to the present disclosure, and not as an admission of the prior art. [0007] Optimizing network performance is crucial for telecommunication service providers. Implementing network changes, such as upgrades or configuration adjustments, can significantly impact various aspects of service delivery. [0008] Change impact analysis plays a crucial role in various industries, including telecommunications, to assess the effects of modifications on key performance indicators (KPIs) and make informed decisions. However, the current methods for conducting such analyses suffer from several inadequacies, leading to inefficiencies and potential errors. [0009] One of the primary challenges faced in change impact analysis is the reliance on manual effort. Engineers are often tasked with scheduling and downloading reports and manually crunching data in spreadsheet software. This process is time-consuming and labour-intensive, particularly when evaluating changes across large geographical areas, such as network regions or circle level modifications. The need for engineers to dedicate significant time and effort to these manual tasks hampers productivity and diverts resources from other critical activities. [0010] Moreover, the manual nature of data crunching introduces a higher risk of errors. Human errors can occur during data extraction, transformation, and computation stages, leading to inaccurate results. These errors can have serious consequences, as decisions based on flawed analysis may result in suboptimal or misguided actions. [0011] Another limitation of current analysis methods is the reliance on average percentage change as the primary measure for quantifying impact. While average percentage change provides a basic understanding of the overall effect, it fails to account for the consistency of change at the cell level. Anomalies or outliers in the data may significantly influence the average, masking the true impact of changes and potentially leading to misinterpretation of results. [0012] Furthermore, the decision-makers may face challenges in effectively communicating the analysis results to stakeholders or deriving meaningful insights from the data. [0013] There is, therefore, a need in the art to provide a system and a method to mitigate the problems associated with the prior arts. OBJECTS OF THE INVENTION [0014] Some of the objects of the present disclosure, which at least one embo