  {"id":9731,"date":"2019-11-13T01:20:56","date_gmt":"2019-11-13T06:20:56","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-digit\/submission\/tableau\/"},"modified":"2019-11-13T01:27:37","modified_gmt":"2019-11-13T06:27:37","slug":"tableau-salesforces-16-billion-analytics-enhancement","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/tableau-salesforces-16-billion-analytics-enhancement\/","title":{"rendered":"Tableau: Salesforce\u2019s $16 Billion Analytics Enhancement"},"content":{"rendered":"<p>Salesforce, the market leader in customer relationship management solutions, acquired the analytics platform Tableau for $15.7 billion dollars earlier this June. Salesforce\u2019s core value proposition is to provide a common platform across divisions of a company to view data about their customers. Its acquisition of Tableau allows Salesforce to become a vertically integrated player across the customer life cycle value chain \u2013 from data entry about customers to data integration, and now to data visualization and analytics. This post analyzes how Tableau creates value for Salesforce\u2019s clients by conducting a deep dive into the frictions it helps clients reduce.<\/p>\n<p><strong>Tableau Background<\/strong><\/p>\n<p>Tableau Software is a business intelligence company with the mission \u201cto help people see and understand data\u201d. The once publicly-traded company enables its users to create complex visualizations and graphics based on big data without any prior programming knowledge. Tableau boasts of a strong customer base across a range of industries including Lufthansa, Dell, and Charles Schwab (https:\/\/selecthub.com\/big-data-analytics-tools\/tableau-big-data-analysis\/).<\/p>\n<p><strong>Frictions that Tableau Reduces for Salesforce customers<\/strong><\/p>\n<p><strong>Connecting to data: <\/strong>Tableau makes it easy for Salesforce clients to connect to data by supporting a wide range of databases and other types of data sources like Excel. The screenshot below shows the exhaustive list of current connections that Tableau supports.<\/p>\n<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-9822\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic1.png\" alt=\"\" width=\"826\" height=\"487\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic1.png 826w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic1-300x177.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic1-768x453.png 768w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic1-600x354.png 600w\" sizes=\"auto, (max-width: 826px) 100vw, 826px\" \/><\/a><\/p>\n<p>Source: Screenshot from Tableau Desktop<\/p>\n<p><strong>Preprocessing Data<\/strong>: One of the biggest challenges Salesforce clients face in creating great visualizations is the quality of the underlying data itself. A typical data quality problem that one would encounter using a CRM platform is illustrated below. We can see that there are a number of customer orders that have been approved by an employee \u2013 C. Arnold. Unfortunately, Arnold\u2019s name hasn\u2019t been uniformly entered on every customer order. Tableau automatically detects and groups all similar instances of C. Arnold under one entry to provide the Salesforce client with an accurate understanding of how many approvals C. Arnold made on customer return orders.<\/p>\n<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-9823\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic2.png\" alt=\"\" width=\"1007\" height=\"620\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic2.png 1007w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic2-300x185.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic2-768x473.png 768w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic2-600x369.png 600w\" sizes=\"auto, (max-width: 1007px) 100vw, 1007px\" \/>Source: <\/a><a href=\"https:\/\/www.tableau.com\/products\/prep\">https:\/\/www.tableau.com\/products\/prep<\/a><\/p>\n<p><strong>Data Integration<\/strong><\/p>\n<p>Tableau makes it easy for Salesforce clients to join the many disparate data sources CRM data may live within their organization, including the often-siloed databases that marketing, sales, finance, and operations teams may individually populate. The example below illustrates how data integration is made easy with Tableau. \u00a0Consider a Salesforce client who is faced with the companies order data being split across an excel sheet and a SQL database. \u00a0Tableau automatically detects and joins the two sources based on an ID common to both datasets. Tableau also allows the client the opportunity to override or enhance the integration logic through its UI.<\/p>\n<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic3.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-9825\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic3.png\" alt=\"\" width=\"969\" height=\"365\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic3.png 969w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic3-300x113.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic3-768x289.png 768w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic3-600x226.png 600w\" sizes=\"auto, (max-width: 969px) 100vw, 969px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p>Source: <a href=\"https:\/\/help.tableau.com\/current\/pro\/desktop\/en-us\/joining_tables.htm\">https:\/\/help.tableau.com\/current\/pro\/desktop\/en-us\/joining_tables.htm<\/a><\/p>\n<p><strong>Visualizing Data<\/strong><\/p>\n<p>Tableau empowers its users to make beautiful, rich visualizations without requiring any prior background or experience. Below is a sample visualization made by Boeing, one of Salesforce\u2019s clients, to help visualize the current market outlook for airplanes across regions. \u00a0The visualization would allow Boeing\u2019s sales team, for instance, to see the distribution of types of planes that are popular across regions to help inform their sales strategy. The dashboard is dynamic allowing the Salesforce client to toggle across regions at the top at which point the graphs will automatically update below. This interactivity allows the salesperson, for instance, to quickly and easily drill down into the areas that are most relevant to her coverage. While the visualizations look very complex Tableau greatly reduces the friction to create them by requiring no coding and providing plenty of templates and documentation. It builds a lot of functionality of dynamic interactions out of the box so that a sales associate can create them for her team by inputting a set of parameters.<\/p>\n<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic4.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-9826\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic4-860x1024.png\" alt=\"\" width=\"640\" height=\"762\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic4-860x1024.png 860w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic4-252x300.png 252w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic4-768x915.png 768w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic4-504x600.png 504w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic4.png 1103w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p>Source: <a href=\"https:\/\/public.tableau.com\/en-us\/gallery\/boeing-current-market-outlook?tab=featured&amp;topic=business-use-cases\">https:\/\/public.tableau.com\/en-us\/gallery\/boeing-current-market-outlook?tab=featured&amp;topic=business-use-cases<\/a><\/p>\n<p><strong>Governing Data<\/strong>: Data governance is often a pain point for CRM clients because certain data may be sensitive to teams (i.e. the total sales of an individual employee in a certain coverage region). CRM clients may also include external data from social media, for example, that may come with its own data distribution policy and require proper enforcement from internal compliance and legal teams. \u00a0Keeping track of who is permissioned for what and at what level can be incredibly time-consuming. Tableau simplifies this process by empowering a single administrator to add and update a user\u2019s permission at the click of a button in a web UI, shown below.<\/p>\n<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic5.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-9828\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic5.png\" alt=\"\" width=\"637\" height=\"532\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic5.png 637w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic5-300x251.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic5-600x501.png 600w\" sizes=\"auto, (max-width: 637px) 100vw, 637px\" \/><\/a><\/p>\n<p>Source: <a href=\"https:\/\/help.tableau.com\/current\/server\/en-us\/users_site_roles.htm\">https:\/\/help.tableau.com\/current\/server\/en-us\/users_site_roles.htm<\/a><\/p>\n<p><strong>What\u2019s Next?<\/strong><\/p>\n<p>Tableau is getting smarter &#8211; they\u2019ve invested significantly in artificial intelligence as has Salesforce more broadly with its recent acquisitions of AI startups. One application is to enable users to ask questions about their data and automatically generate answers. The example below shows how Tableau allows CRM clients to type in questions and through its natural language capabilities auto-generate the visualizations. Salesforce clients may be looking at a future where data insights about their customers are generated in real-time conversations.<\/p>\n<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic6.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-9829\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic6-1024x267.png\" alt=\"\" width=\"640\" height=\"167\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic6-1024x267.png 1024w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic6-300x78.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic6-768x200.png 768w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic6-600x156.png 600w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/pic6.png 1320w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p>Source: <a href=\"https:\/\/www.tableau.com\/products\/server\">https:\/\/www.tableau.com\/products\/server<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Breaking down how the near $16 billion acquisition of the data analytics company adds value to Salesforce and its customer through examples and visualizations<\/p>\n","protected":false},"author":12570,"featured_media":9833,"comment_status":"open","ping_status":"closed","template":"","categories":[],"class_list":["post-9731","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-digit\/assignment\/competing-with-data\/","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - 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