Case Study 2 (Investigating metric spike) The structure of the table with the definition of each column that you must work on is present in the project image. Table-1: users. This table includes one row per user, with descriptive information about that user's account. Table-2: events.
Operation Analytics and Investigating Metric Spike SQL
In case study 1 there is job_data table while in case study 2 there are tables. Operation Analytics and Investigating Metric Spike. This project focuses on analyzing the data which is provided by company. My task is to derive insights and answer the questions asked by different departments. So that these insights are then used by marketing team ...
PDF Operation Analytics and Investigating Metric Spike
Case Study 2 (Investigating metric spike) Table-1: users This table includes one row per user, with descriptive information about that user's account. Table-2: events This table includes one row per event, where an event is an action that a user has taken. These
Operation Analytics and Investigating Metric Spike
Case Study 1; Case Study 2; Conclusion; Links; Tech Stack Used. MySQL Workbench 8.0.33 Community Version — A relational database management system used to create the database. It's connections ...
Abhitha Mohan
Case Study 2: Investigating Metric Spike. In Case Study 2, I used SQL and Tableau concepts to investigate the metric spike of a product by drawing insights such as :-User Growth: Calculated the amount of users growing over time for the product. -User Engagement: Calculated the weekly user engagement of the product.
Piyush Gupta
Case Study 2 (Investigating metric spike) The structure of the table with the definition of each column that you must work on is present in the project image . Table-1: users . This table includes one row per user, with descriptive information about that user's account. Table-2: events .
Operation Analytics and Investigating Metric Spike
Investigating metric spikes is a daily task that helps uncover the reasons behind fluctuations in business performance. The ultimate objective is to address the inquiries raised by various departments and extract meaningful insights from the diverse data sets and tables provided.
Operation Analytics and Investigating Metric Spike_P-3.pptx
Case Study 2 (Investigating metric spike) The structure of the table with the definition of each column that you must work on is present in the project image Table-1: users This table includes one row per user, with descriptive information about that user's account. Table-2: events This table includes one row per event, where an event is an ...
This repository has all the Pdfs along with Data Analysis Portfolio and Data Analytics Certificates from Trainity. Click on the below link for enrolling yourself into Data Analytics internship from...
PDF Operation Analytics and Investigating Metric Spike
from day 1 to day 7 whereas, daily metric gives the average for only that particular day itself. • The percentage share of Persian language is the most (37.5%). • There are two duplicate rows if we partition the data by job_id. But if we look the overall columns, all the rows are unique. Case Study 2 (Investigating metric spike):
Operation Analytics and Investigating Metric Spike
Case Study 2 (Investigating metric spike) A. User Engagement: To measure the activeness of a user. Measuring if the user finds quality in a product/service. Your task: Calculate the weekly user engagement? SELECT EXTRACT(WEEK FROM occurred_at) AS week_number, COUNT(DISTINCT user_id) AS distinct_users FROM events GROUP BY week_number; ...
How to investigate a spike in your data
You can't investigate everything, of course, but do start with the likely suspects. If your spike relates to web traffic, check to see if Google has updated their algorithm. If your spike relates to an IT system failure, check to see if the same thing has happened to other users. 7. Involve others.
Operation Analytics and Investigating Metric Spike SQL
May 5, 2023 by Sneh Balyan. Operation Analytics and Investigating Metric Spike SQL. Introduction. This project focuses on analyzing the data which is provided by the company. My task is to derive insights and answer the questions asked by different departments. So that these insights are then used by ops t eam , support team , marketing team ...
A data analysis project using sql!In this data analysis project, we will be conducting an operation analysis using SQL to gain insights into a specific domai...
Operation Analytics and Investigating Metric Spike
2. Case Study 2 (Investigating metric spike) : Here for some online platform, we've different dataset like users, events and email_events. I'll perform analytics operations to see what kind of changes and spikes are accruing. A. User Engagement: To measure the activeness of a user. Measuring if the user finds quality in a product/service.
Operation Analytics and Investigating Metric Spike
Created a database for Case Study 1 (Job Data) with the reference of Excel sheet provided Uploaded datasets of Case Study 2 (Investigating metric spike) to MySQL Workbench as all the questions asked could be answered through SQL. Case Study 1 (Job Data) A. Number of jobs reviewed: Amount of jobs reviewed over time.
Operation Analytics and Investigating Metric Spike
Operation Analytics is the analysis done for the complete end to end operations of a company. With the help of this, the company then finds the areas on which it must improve upon. A key component of operational analytics is Investigating metric spike.
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window.
Operation Analytics and Investigating Metric Spike.pdf
B) Case Study 2 (Investigating metric spike): 1. User Engagement: To measure the activeness of a user. Measuring if the user finds quality in a product/service. We have to calculate the weekly user engagement. 2. User Growth: Number of users growing over time for a product. We have to calculate the user growth for product. 3.
Operation Analytics
Case Study-2 : Investigating Metric Spike ##### A. Weekly User Engagement: - Calculating the Weekly User Engagement: Explanation: The query results in columns of week numbers and their corresponding active users count. The total of 19 rows. Week number 30 shows the highest of 1467 users that are active during that week.
Trainity Assignment-3
Case Study 2 (Investigating metric spike) A. Weekly User Engagement: ##### Output. C. Weekly retention analysis: output D. Weekly Engagement per device: output E. Email Engagement: RESULT: Operational analytics is the process of using data analysis and business intelligence to
Operation Analytics and Investigating Metric Spike
The main goal of this project is operation analytics and investigating metric spike. Operation analytics is done to understand the end to end operations of the company. This will help the company find where the company needs to improve, and then work accordingly. Metric spike investigation is also an important part of operation analytics to ...
COMMENTS
Case Study 2 (Investigating metric spike) The structure of the table with the definition of each column that you must work on is present in the project image. Table-1: users. This table includes one row per user, with descriptive information about that user's account. Table-2: events.
In case study 1 there is job_data table while in case study 2 there are tables. Operation Analytics and Investigating Metric Spike. This project focuses on analyzing the data which is provided by company. My task is to derive insights and answer the questions asked by different departments. So that these insights are then used by marketing team ...
Case Study 2 (Investigating metric spike) Table-1: users This table includes one row per user, with descriptive information about that user's account. Table-2: events This table includes one row per event, where an event is an action that a user has taken. These
Case Study 1; Case Study 2; Conclusion; Links; Tech Stack Used. MySQL Workbench 8.0.33 Community Version — A relational database management system used to create the database. It's connections ...
Case Study 2: Investigating Metric Spike. In Case Study 2, I used SQL and Tableau concepts to investigate the metric spike of a product by drawing insights such as :-User Growth: Calculated the amount of users growing over time for the product. -User Engagement: Calculated the weekly user engagement of the product.
Case Study 2 (Investigating metric spike) The structure of the table with the definition of each column that you must work on is present in the project image . Table-1: users . This table includes one row per user, with descriptive information about that user's account. Table-2: events .
Investigating metric spikes is a daily task that helps uncover the reasons behind fluctuations in business performance. The ultimate objective is to address the inquiries raised by various departments and extract meaningful insights from the diverse data sets and tables provided.
Case Study 2 (Investigating metric spike) The structure of the table with the definition of each column that you must work on is present in the project image Table-1: users This table includes one row per user, with descriptive information about that user's account. Table-2: events This table includes one row per event, where an event is an ...
This repository has all the Pdfs along with Data Analysis Portfolio and Data Analytics Certificates from Trainity. Click on the below link for enrolling yourself into Data Analytics internship from...
from day 1 to day 7 whereas, daily metric gives the average for only that particular day itself. • The percentage share of Persian language is the most (37.5%). • There are two duplicate rows if we partition the data by job_id. But if we look the overall columns, all the rows are unique. Case Study 2 (Investigating metric spike):
Case Study 2 (Investigating metric spike) A. User Engagement: To measure the activeness of a user. Measuring if the user finds quality in a product/service. Your task: Calculate the weekly user engagement? SELECT EXTRACT(WEEK FROM occurred_at) AS week_number, COUNT(DISTINCT user_id) AS distinct_users FROM events GROUP BY week_number; ...
You can't investigate everything, of course, but do start with the likely suspects. If your spike relates to web traffic, check to see if Google has updated their algorithm. If your spike relates to an IT system failure, check to see if the same thing has happened to other users. 7. Involve others.
May 5, 2023 by Sneh Balyan. Operation Analytics and Investigating Metric Spike SQL. Introduction. This project focuses on analyzing the data which is provided by the company. My task is to derive insights and answer the questions asked by different departments. So that these insights are then used by ops t eam , support team , marketing team ...
A data analysis project using sql!In this data analysis project, we will be conducting an operation analysis using SQL to gain insights into a specific domai...
2. Case Study 2 (Investigating metric spike) : Here for some online platform, we've different dataset like users, events and email_events. I'll perform analytics operations to see what kind of changes and spikes are accruing. A. User Engagement: To measure the activeness of a user. Measuring if the user finds quality in a product/service.
Created a database for Case Study 1 (Job Data) with the reference of Excel sheet provided Uploaded datasets of Case Study 2 (Investigating metric spike) to MySQL Workbench as all the questions asked could be answered through SQL. Case Study 1 (Job Data) A. Number of jobs reviewed: Amount of jobs reviewed over time.
Operation Analytics is the analysis done for the complete end to end operations of a company. With the help of this, the company then finds the areas on which it must improve upon. A key component of operational analytics is Investigating metric spike.
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window.
B) Case Study 2 (Investigating metric spike): 1. User Engagement: To measure the activeness of a user. Measuring if the user finds quality in a product/service. We have to calculate the weekly user engagement. 2. User Growth: Number of users growing over time for a product. We have to calculate the user growth for product. 3.
Case Study-2 : Investigating Metric Spike ##### A. Weekly User Engagement: - Calculating the Weekly User Engagement: Explanation: The query results in columns of week numbers and their corresponding active users count. The total of 19 rows. Week number 30 shows the highest of 1467 users that are active during that week.
Case Study 2 (Investigating metric spike) A. Weekly User Engagement: ##### Output. C. Weekly retention analysis: output D. Weekly Engagement per device: output E. Email Engagement: RESULT: Operational analytics is the process of using data analysis and business intelligence to
The main goal of this project is operation analytics and investigating metric spike. Operation analytics is done to understand the end to end operations of the company. This will help the company find where the company needs to improve, and then work accordingly. Metric spike investigation is also an important part of operation analytics to ...