Online Tutoring on Youtube Videos

Task 1: Background Information

The ABC Online multimedia company came into form in 2015 and has been providing multimedia insights for its clients. In order to provide detailed insights and details about different videos, the total views, comments, likes and dislikes and time-frame of the uploaded videos during the period from 2006 to 2018.

The dataset is provided to the content analyst by Kaggle and is gathered in the excel form. The dataset includes the information regarding video id, number of likes, number of dislikes, comments, publishing date, publishing day, video title, tags, channel titles, video errors and ratings. The dataset contains 161470 data points over 17 different columns.

By providing access to such data, the mission of Content analyst at ABC Online Multimedia Company is to provide different analysis on the peak hours, peak days, most liked videos, most disliked videos and peak hours at which videos are uploaded. The aim of this report is to use analyze the given dataset by using analytical tool i.e. IBM Watson Analytics for exploring, analyzing and visualizing the given dataset. There are different questions that are explored along with advanced insights. The data is downloaded from data world and Kaggle.com. The major aim of this report are:

To provide logical recommendations to the company for enhancing the multimedia operations
Assisting the company in achieving its operational/strategic objectives

Providing the company with advanced and basic insights into the data of uploaded videos

Task 5: Recommendations

Based on the above analysis, following recommendations are made to ABC Online Multimedia Company.

It is recommended to disable the comments section for each uploaded video as by disabling the comments section, lesser number of viewers click on dislike option of the video(Madden, Ruthven, & McMenemy, 2013).
It is observed that people like music videos more since highest number of uploaded videos over past 3 years have remained to be related to music(Edmond, 2014). Entertainment and politics remain to be the other two most liked categories. Hence, for driving more likes and views, the company is recommended to upload music related videos.
It is also seen that movies are uploaded very rarely and are lesser viewed by the viewers. It is because of the piracy issues related to movies industry(Choi, 2007). Hence, it is recommended that for avoiding the litigation by the movie houses and publishers, the company should restrain from uploading movies.
It is also seen that most of the videos are uploaded at 17:00-17:59 time frame and are mostly viewed at 4:00-4:59. Hence, it is recommended to upload videos at 17:00 so that more viewers can view the videos at 4:00.
It is also predicted that dislikes of the videos are derived by time-frame and category id(Duncum, 2014). Most of the dislikes of the videos are made during the time-frame of 4:00-4:59. Hence, it is recommended that during this time-frame more music videos are uploaded as it is the most liked category of the viewers.

The given analysis will help the company in analyzing the number of likes, comments, views and uploaded content under each year and publishing countries. Uptil now, France had the most of the channels while GB with lowest number of channels (Cranwell, Opazo-Breton, & Britton, 2016). Most of the viewers view Music in France, GB, US and Canada. While, Trailers have been the least viewed video in France only. Most of the views are from Great Britain in every category while France views lesser videos of each category. This also showed that GB has more viewers either due to more population, more internet access and more inclination towards watching youtube (Mitchell & LR Schuster, 2017).

Improving the Operational Excellence and Achieving Strategic Objectives

This report is prepared by Content Analyst and it is part of the research conducted for analyzing the data sets and discover the patterns in dashboards that can help the management of ABC Online Multimedia Company for achieving its operational excellence and achieving its strategic objectives. The data analysis was performed using the IBM Watson Analytics that revealed the following insights.

Key Findings:

Highest number of channels are of France (2207) while lowest number of viewers view videos in France.
Lowest number of channels are of Great Britain (1624) while highest number of viewers view videos in Great Britain.
Top three most liked, uploaded and viewed category in all four countries have remained to be Music, Entertainment and Politics.
Most of the videos are uploaded in 2018
Most of the uploaded videos are uploaded at 16:00-16:59.
Least of the uploaded videos are uploaded at 6:00 to 6:59.
Most of the views view videos at 4:00-4:59 and hit likes and dislikes at this time frame
Trailers and movies videos remained to be the least liked category for all of the countries to be uploaded and viewed.
Friday remained to be the most like day for uploading videos with 9082 uploads and Saturday remained to be least liked day with 6859 uploads.
Most of the videos are uploaded during December for all the countries
likes are derived 31% by comment count and category id, 28% by comment count and views and 28% by dislikes and category id
Comment Count, views and dislikes are the top three single drivers of likes of the videos with 21%, 21% and 19% of predicting power.
The insight shows that when the comments are disabled, lesser videos are disliked while with the open comments, more videos are disliked by the viewers.
The insight shows that the driver of comment count includes dislikes & category id (14%), likes and category id (13%), views and category id (12%), dislikes and time frame (12%) and likes (10%).

How to Make a Great Youtube Video Online Tutoring

It is recommended to disable the comments section for each uploaded video as by disabling the comments section, lesser number of viewers click on dislike option of the video.
It is observed that people like music videos more since highest number of uploaded videos over past 3 years have remained to be related to music. Entertainment and politics remain to be the other two most liked categories. Hence, for driving more likes and views, the company is recommended to upload music related videos.
It is also seen that movies are uploaded very rarely and are lesser viewed by the viewers. It is because of the piracy issues related to movies industry. Hence, it is recommended that for avoiding the litigation by the movie houses and publishers, the company should restrain from uploading movies.
It is also seen that most of the videos are uploaded at 17:00-17:59 time frame and are mostly viewed at 4:00-4:59. Hence, it is recommended to upload videos at 17:00 so that more viewers can view the videos at 4:00.
It is also predicted that dislikes of the videos are derived by time-frame and category id. Most of the dislikes of the videos are made during the time-frame of 4:00-4:59. Hence, it is recommended that during this time-frame more music videos are uploaded as it is the most liked category of the viewers.