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 …
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” …
Salesforce Analytics Cloud is the next generation data exploration tool. Not only the data visualisation is beautiful in wave, but it is also user friendly, and designed for the end user analysis. It is enabled with various ways to interact with data, and strike conversations among business users. Here is a brief summary on how …
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 …
Ad Analytics using Google Cloud Dataflow and Salesforce Wave Read More »
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 …
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 …
In this previous post we discussed how lead scoring can be done by consuming data from various systems. We have implemented this as an AzureML model and published it as a web service. However since this uses a custom module (described here), we’re unable to publish this experiment to the gallery . Here are a few …
We present a comprehensive lead scoring system that will help take guess work out and help your sales machinery focus on the right leads. What makes this a comprehensive system is the fact that it takes into account thousands of data points across the following systems. CRM – Salesforce Marketing Automation – Marketo, Pardot Social – …
Lead Scoring with With CRM, Marketing, Finance and Social Data Read More »
The RFM customer segmentation model is a simple way to segment customers. The resulting segments are easy to understand and helps marketers target campaigns better. R, F, and M stand for (from Wikipeida): Recency – How recently did the customer purchase? Frequency – How often do they purchase? Monetary Value – How much do they spend …
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 …
Customer segmentation – combining RFM and predictive algorithms Read More »
