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Wave Dashboard – How we design

By Harshal Bhalerao Dashboards can be used to provide valuable insight into your data. Salesforce Wave has revolutionized the way business users can drill down and visualize their data to make better business decisions. Wave dashboards and analytics in general have been extensively discussed in previous blogs on this forum. What makes Wave even more useful …

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Useful color codes for Wave dashboards

Wave chooses color palettes based on dimension values. Here are a set of color codes that can be used for complementary colors. Useful to display high contrast dimensions. Default view. Many lens have boolean dimensions, isWon, isClosed etc. Following is the default colors Alternate option with soft colors Color codes -“#26B9DB”, “#CCCCCC” Color Codes “#D4D7FE”,  “#666666”   Color Codes “#818286”, “#BCBDC1”. Color codes “#9A7F6A”, “#ECE3B2” Color codes  “#D06EA6”, “#8BF2B2” …

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Ad Analytics using Google Cloud Dataflow and Salesforce Wave

Understanding the impact of advertising spend and knowing how various parts of an ad campaign contribute to sales is key to measuring impact on overall advertisement strategy.   Traditional solutions that provide such analytics includes an ETL tool to transform and transfer data from one system to another, a data warehousing system that can store large amounts …

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Cloud Dataflow Developer Experience

We got the opportunity to collaborate with Google Cloud Platform this year soon after the relationship between Salesforce and Google Cloud Platform was announced.  We worked with both Google Cloud Platform and Salesforce product managers to outline a use case that involved Salesforce CRM, Wave and Google Cloud Dataflow.  Here’s a more detailed description of the …

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Cloud Dataflow Developer Experience

Spark connector for Salesforce Wave!

We are delighted and excited to share that we have published the Spark connector for Salesforce Wave! Using this connector makes it really easy to run machine learning algorithm in spark and push the results to Salesforce Wave. Highlights of the connector: Packaged library that you can deploy in your spark clusters. Support java, scala, python libraries to …

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Customer segmentation – combining RFM and predictive algorithms

The Recency-Frequency-Monetary value segmentation has been around for a while now and provides a pretty simple but effective way to segment customers.  An RFM model can be used in conjunction with certain predictive models to gain even further insight into customer behavior.  In this post we’ll discuss three predictive models – K-means clustering, Logistic Regression and …

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Customer segmentation