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AnalyzeCore | data are beautiful, data are a story | analyzecore.com Reviews
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admin, Author at AnalyzeCore - data is beautiful, data is a story
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Skip to main content. AnalyzeCore – data is beautiful, data is a story. Attribution model with R (part 1: Markov chains concept). As we know, a customer usually goes through a path/sequence of different channels/touchpoints before a purchase in e-commerce or conversion in other areas. In Google Analytics we can find some touchpoints more likely to assist to conversion than others that more likely to be last-click touchpoint. As most of the channels are paid for (in […]. Click to share on Pinterest (Opens...
Segmentation Archives - AnalyzeCore - data is beautiful, data is a story
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Skip to main content. AnalyzeCore – data is beautiful, data is a story. Measuring business health with Delta LifeCycle Grids and R. There are several posts connected with LifeCycle Grids on this blog. If you are not familiar with the concept I highly recommend you to start with Jim Novo’s book, his blog or, at least, from the first post about on my blog. We will study how to use LifeCycle Grids concept for measuring a health of […]. Click to share on LinkedIn (Opens in new window). Click to email this to...
Customer life-time value Archives - AnalyzeCore - data is beautiful, data is a story
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Skip to main content. AnalyzeCore – data is beautiful, data is a story. Cohort Analysis with Heatmap. Previously I shared the data visualization approach for descriptive analysis of progress of cohorts with the layer-cake chart (part I and part II). In this post, I want to share another interesting visualization that not only can be used for descriptive analysis as well but would be more helpful for analyzing a large number of cohorts. […]. Click to share on LinkedIn (Opens in new window). Click to email...
Cohort analysis Archives - AnalyzeCore - data is beautiful, data is a story
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Skip to main content. AnalyzeCore – data is beautiful, data is a story. Cohort analysis: Retention Rate Visualization with R. When conducting Cohort Analysis, one of the most important measures is Customer Retention Rate. I will share a few ideas for visualizing this parameter in this post. Last year I shared several charts for Customer Retention Rate visualization in this post. However, it is always helpful to analyze and visualize both relative (Customer Retention Rate) and […]. Click to share on Pinte...
Cohort Analysis and LifeCycle Grids mixed segmentation with R - AnalyzeCore - data is beautiful, data is a story
http://analyzecore.com/2015/04/01/cohort-analysis-and-lifecycle-grids-mixed-segmentation-with-r
Skip to main content. AnalyzeCore – data is beautiful, data is a story. Cohort Analysis and LifeCycle Grids mixed segmentation with R. This is the third post about LifeCycle Grids. You can find the first post about the sense of LifeCycle Grids and A-Z process for creating and visualizing with R programming language. Is the second post about adding monetary metrics (customer lifetime value – CLV – and customer acquisition cost – CAC) to the LifeCycle Grids. And LifeCycle Grids in this post. This can be he...
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Lee Hawthorn | Business Intelligence & Performance Management | Page 2
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Business Intelligence and Performance Management. Power BI Friday Newsletter. Newer posts →. Cleaning data with t-SQL. August 22, 2015. When creating BI models and looking into the guts of the ERP system we see data artifacts from user behavior or sometimes poor design which requires us to get out our cleaning gear. It goes without saying the best course of action is to clean data at source – if only this could happen more often. You can set up the data with the code below. I’ve added real Vali...This is...
time series | Lee Hawthorn
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Business Intelligence and Performance Management. Power BI Friday Newsletter. Tag Archives: time series. Interactive time series with 3 lines of R. June 13, 2015. Time Series analysis is a fundamental aspect of performance management. Before we can begin to model time-series there’s huge dividend in just visualising the data. We can see if there is a seasonal pattern, or is the time-series additive or … Continue reading →. Data Analytics modelling, why tune by hand? My new Power BI course is live.
R | Lee Hawthorn
http://leehbi.com/tag/r
Business Intelligence and Performance Management. Power BI Friday Newsletter. Consuming R through API endpoints with Domino Data Lab. June 19, 2015. This is a follow-up to the post about deploying R models using web services. Within 1 hour I was able to take an existing R function and publish to the Domino Data Lab web service AND write a simple Python … Continue reading →. June 18, 2015. Interactive time series with 3 lines of R. June 13, 2015. Random Forests with R. June 12, 2015. This post covers mode...
Deployment | Lee Hawthorn
http://leehbi.com/tag/deployment
Business Intelligence and Performance Management. Power BI Friday Newsletter. June 18, 2015. When we clean and transform data and go on to produce a great predictive model the last thing we want is to not deploy it. The issue we have is deployment often means heavy engineering. Depending on the resources at … Continue reading →. Data Analytics modelling, why tune by hand? My new Power BI course is live. Collecting requirements from users for a BI project. Business Analysis for BI projects.
Time Series | Lee Hawthorn
http://leehbi.com/category/time-series
Business Intelligence and Performance Management. Power BI Friday Newsletter. Category Archives: Time Series. Interactive time series with 3 lines of R. June 13, 2015. Time Series analysis is a fundamental aspect of performance management. Before we can begin to model time-series there’s huge dividend in just visualising the data. We can see if there is a seasonal pattern, or is the time-series additive or … Continue reading →. Data Analytics modelling, why tune by hand? My new Power BI course is live.
analytics | Lee Hawthorn
http://leehbi.com/tag/analytics-2
Business Intelligence and Performance Management. Power BI Friday Newsletter. Consuming R through API endpoints with Domino Data Lab. June 19, 2015. This is a follow-up to the post about deploying R models using web services. Within 1 hour I was able to take an existing R function and publish to the Domino Data Lab web service AND write a simple Python … Continue reading →. Analysing sales drivers with Python. December 1, 2012. Data Analytics modelling, why tune by hand? My new Power BI course is live.
Customer Insight | Lee Hawthorn
http://leehbi.com/category/customer-insight
Business Intelligence and Performance Management. Power BI Friday Newsletter. Category Archives: Customer Insight. Why is R so useful. May 31, 2015. As an Excel power user (someone called me a guru recently! I know Excel can be used to do pretty much anything – I’ve even seen Excel being used to play the Game of Life. If this is the … Continue reading →. Data Analytics modelling, why tune by hand? My new Power BI course is live. Collecting requirements from users for a BI project. Jen's BI Blog.
html widgets | Lee Hawthorn
http://leehbi.com/tag/html-widgets
Business Intelligence and Performance Management. Power BI Friday Newsletter. Tag Archives: html widgets. Interactive time series with 3 lines of R. June 13, 2015. Time Series analysis is a fundamental aspect of performance management. Before we can begin to model time-series there’s huge dividend in just visualising the data. We can see if there is a seasonal pattern, or is the time-series additive or … Continue reading →. Data Analytics modelling, why tune by hand? My new Power BI course is live.
Interactive time series with 3 lines of R | Lee Hawthorn
http://leehbi.com/2015/06/interactive-time-series-with-3-lines-of-r
Business Intelligence and Performance Management. Power BI Friday Newsletter. Random Forests with R. Deploying R/Python scripts →. Interactive time series with 3 lines of R. June 13, 2015. Time Series analysis is a fundamental aspect of performance management. Before we can begin to model time-series there’s huge dividend in just visualising the data. We can see if there is a seasonal pattern, or is the time-series additive or multiplicative. At the last R London. Data sourced from Rob Hyndman's Time Ser...
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AnalyzeCore | data are beautiful, data are a story
Data are beautiful, data are a story. Cohort Analysis with Heatmap. Previously I shared the data visualization approach for descriptive analysis of progress of cohorts with the layer-cake chart (part I and part II). In this post, I want to share another interesting visualization that not only can be used for descriptive analysis as well but would be more helpful for analyzing a large number of cohorts…. Read More. Click to share on LinkedIn (Opens in new window). Share on Facebook (Opens in new window).
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