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Different types of analysis which can be done with Webdata of users
The 2019 Stack Overflow Developer Survey Results Are InI am trying to classify/cluster users profile but don't know how with my attributesWhat kind of research can be done with genomic data?Modelling latent online shopping states from e-commerce website clickstream data - What type of method to use?How should one deal with null values in time stamp data types?Which machine learning algorithm should I apply for differentiate question difficulty level with users' resultPredicting which apps users may be interested inHow far can one go with excel?EDA for analysis of nominal variable with high cardinalityCluster Analysis - Comparing Same Individuals Clustered Across Different Datasets with different featuresWhich different visualizations to make for time series analysis?
$begingroup$
I have rich customer data for site usage, particularly the web analytics data. Some of the data fields I have are:
- Product Usage details
- Geographic details
- Session data: Capture what all they did during a session onsite, unique to timestamp
- User details
- Device used to login
- Product looked at/ downloaded
- Campaign data for promotion of a product
- Search queries made on the on-site search bar
- Results of those search queries
and so on.
I wanted to know what are the different types of analysis I can perform using this data, more inclined towards the Data science aspect of it. I have already thought of the following:
- Churn Analysis
- Campaign effectiveness
- Find out which product is being sold the most and which at which geography
- User behavior analysis
and such.
Could the community help me come up with more ideas which i can use to perform analysis on this data?
Thanks
machine-learning clustering data data-analysis
asked Oct 9 '18 at 17:59
Kshitij YadavKshitij Yadav
62
$endgroup$
bumped to the homepage by Community♦ 9 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I have rich customer data for site usage, particularly the web analytics data. Some of the data fields I have are:
- Product Usage details
- Geographic details
- Session data: Capture what all they did during a session onsite, unique to timestamp
- User details
- Device used to login
- Product looked at/ downloaded
- Campaign data for promotion of a product
- Search queries made on the on-site search bar
- Results of those search queries
and so on.
I wanted to know what are the different types of analysis I can perform using this data, more inclined towards the Data science aspect of it. I have already thought of the following:
- Churn Analysis
- Campaign effectiveness
- Find out which product is being sold the most and which at which geography
- User behavior analysis
and such.
Could the community help me come up with more ideas which i can use to perform analysis on this data?
Thanks
machine-learning clustering data data-analysis
asked Oct 9 '18 at 17:59
Kshitij YadavKshitij Yadav
62
$endgroup$
bumped to the homepage by Community♦ 9 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
$begingroup$
What is the objective?
$endgroup$
– user2974951
Oct 10 '18 at 6:49
$begingroup$
I need to find projects which I can do for the next year. No particular project, but it has to have a good business, customer and revenue impact
$endgroup$
– Kshitij Yadav
Oct 10 '18 at 14:25
add a comment |
$begingroup$
I have rich customer data for site usage, particularly the web analytics data. Some of the data fields I have are:
- Product Usage details
- Geographic details
- Session data: Capture what all they did during a session onsite, unique to timestamp
- User details
- Device used to login
- Product looked at/ downloaded
- Campaign data for promotion of a product
- Search queries made on the on-site search bar
- Results of those search queries
and so on.
I wanted to know what are the different types of analysis I can perform using this data, more inclined towards the Data science aspect of it. I have already thought of the following:
- Churn Analysis
- Campaign effectiveness
- Find out which product is being sold the most and which at which geography
- User behavior analysis
and such.
Could the community help me come up with more ideas which i can use to perform analysis on this data?
Thanks
machine-learning clustering data data-analysis
asked Oct 9 '18 at 17:59
Kshitij YadavKshitij Yadav
62
$endgroup$
I have rich customer data for site usage, particularly the web analytics data. Some of the data fields I have are:
- Product Usage details
- Geographic details
- Session data: Capture what all they did during a session onsite, unique to timestamp
- User details
- Device used to login
- Product looked at/ downloaded
- Campaign data for promotion of a product
- Search queries made on the on-site search bar
- Results of those search queries
and so on.
I wanted to know what are the different types of analysis I can perform using this data, more inclined towards the Data science aspect of it. I have already thought of the following:
- Churn Analysis
- Campaign effectiveness
- Find out which product is being sold the most and which at which geography
- User behavior analysis
and such.
Could the community help me come up with more ideas which i can use to perform analysis on this data?
Thanks
machine-learning clustering data data-analysis
machine-learning clustering data data-analysis
asked Oct 9 '18 at 17:59
Kshitij YadavKshitij Yadav
62
asked Oct 9 '18 at 17:59
Kshitij YadavKshitij Yadav
62
asked Oct 9 '18 at 17:59
Kshitij YadavKshitij Yadav
62
asked Oct 9 '18 at 17:59
Kshitij YadavKshitij Yadav
62
asked Oct 9 '18 at 17:59
Kshitij YadavKshitij Yadav
62
62
bumped to the homepage by Community♦ 9 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 9 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
$begingroup$
What is the objective?
$endgroup$
– user2974951
Oct 10 '18 at 6:49
$begingroup$
I need to find projects which I can do for the next year. No particular project, but it has to have a good business, customer and revenue impact
$endgroup$
– Kshitij Yadav
Oct 10 '18 at 14:25
add a comment |
$begingroup$
What is the objective?
$endgroup$
– user2974951
Oct 10 '18 at 6:49
$begingroup$
I need to find projects which I can do for the next year. No particular project, but it has to have a good business, customer and revenue impact
$endgroup$
– Kshitij Yadav
Oct 10 '18 at 14:25
$begingroup$
What is the objective?
$endgroup$
– user2974951
Oct 10 '18 at 6:49
$begingroup$
What is the objective?
$endgroup$
– user2974951
Oct 10 '18 at 6:49
$begingroup$
I need to find projects which I can do for the next year. No particular project, but it has to have a good business, customer and revenue impact
$endgroup$
– Kshitij Yadav
Oct 10 '18 at 14:25
$begingroup$
I need to find projects which I can do for the next year. No particular project, but it has to have a good business, customer and revenue impact
$endgroup$
– Kshitij Yadav
Oct 10 '18 at 14:25
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
Recommendation Engine is one such application of ML that can be used to extract the useful information from the user available data and offer them the product that is the most relevant to him. You can map this to classic classification problem where expected output of ML algorithm is to come up with the product that customer will buy.
answered Oct 10 '18 at 10:04
CodeMaster GoGoCodeMaster GoGo
1589
$endgroup$
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
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active
oldest
votes
$begingroup$
Recommendation Engine is one such application of ML that can be used to extract the useful information from the user available data and offer them the product that is the most relevant to him. You can map this to classic classification problem where expected output of ML algorithm is to come up with the product that customer will buy.
answered Oct 10 '18 at 10:04
CodeMaster GoGoCodeMaster GoGo
1589
$endgroup$
add a comment |
$begingroup$
Recommendation Engine is one such application of ML that can be used to extract the useful information from the user available data and offer them the product that is the most relevant to him. You can map this to classic classification problem where expected output of ML algorithm is to come up with the product that customer will buy.
answered Oct 10 '18 at 10:04
CodeMaster GoGoCodeMaster GoGo
1589
$endgroup$
add a comment |
$begingroup$
Recommendation Engine is one such application of ML that can be used to extract the useful information from the user available data and offer them the product that is the most relevant to him. You can map this to classic classification problem where expected output of ML algorithm is to come up with the product that customer will buy.
answered Oct 10 '18 at 10:04
CodeMaster GoGoCodeMaster GoGo
1589
$endgroup$
Recommendation Engine is one such application of ML that can be used to extract the useful information from the user available data and offer them the product that is the most relevant to him. You can map this to classic classification problem where expected output of ML algorithm is to come up with the product that customer will buy.
answered Oct 10 '18 at 10:04
CodeMaster GoGoCodeMaster GoGo
1589
answered Oct 10 '18 at 10:04
CodeMaster GoGoCodeMaster GoGo
1589
answered Oct 10 '18 at 10:04
CodeMaster GoGoCodeMaster GoGo
1589
answered Oct 10 '18 at 10:04
CodeMaster GoGoCodeMaster GoGo
1589
1589
add a comment |
add a comment |
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$begingroup$
What is the objective?
$endgroup$
– user2974951
Oct 10 '18 at 6:49
$begingroup$
I need to find projects which I can do for the next year. No particular project, but it has to have a good business, customer and revenue impact
$endgroup$
– Kshitij Yadav
Oct 10 '18 at 14:25