{"id":7822,"date":"2018-11-12T17:22:04","date_gmt":"2018-11-12T22:22:04","guid":{"rendered":"https:\/\/www.carnaghan.com\/?p=7822"},"modified":"2019-01-04T09:45:46","modified_gmt":"2019-01-04T14:45:46","slug":"rapid-reporting-and-visualization-development-with-watson-analytics","status":"publish","type":"post","link":"https:\/\/www.carnaghan.com\/rapid-reporting-and-visualization-development-with-watson-analytics\/","title":{"rendered":"Rapid Reporting and Visualization Development with Watson Analytics"},"content":{"rendered":"<p><span id=\"urn:enhancement-8ebd8454-ec74-00ef-5264-28d167485d4a\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/watson_computer\">Watson<\/span> <span id=\"urn:enhancement-cd19463f-2f47-8549-f00e-449ad1cf281a\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/analytics\">Analytics<\/span> provides a powerful suite of display and rapid reporting options. This article looks at two distinct datasets from <span id=\"urn:enhancement-11247a2f-7289-c346-03be-d3a914891b00\" class=\"textannotation disambiguated wl-organization\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/kaggle\">Kaggle<\/span>, Laptop Price and Mobile Price Classification. By using the display options available within <span id=\"urn:enhancement-d72acb2c-0846-6693-d56d-2fc92c73f303\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/watson_computer\">Watson<\/span> <span id=\"urn:enhancement-f6fe5ce0-ae7c-0b5d-a6b4-35dd8da22ec4\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/analytics\">Analytics<\/span>, the ability to create a compelling story possible. Both sets of analysis are focused around the <span id=\"urn:enhancement-5ab86ea7-b272-6f93-fa9d-b678003f8593\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/dependent_and_independent_variables\">target variable<\/span> of price (or price_range), and the details of these datasets have been included below for reference. Laptop Price consists of records of various laptop models, that were last updated six months ago from writing, adding additional laptop characteristics and prices. Mobile Price Classification provides <span id=\"urn:enhancement-87646f5a-8037-75b5-462b-3ad38166436a\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/data\">data<\/span> on mobile phones including price range classifications.\u00a0 Analysis of <span id=\"urn:enhancement-62fad59d-4edb-8090-bda4-4510ef13f1bd\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/data\">data<\/span> quality and cleansing will not be discussed in this article. Rather the focus of building compelling visualizations and telling a story are the priority here.<\/p>\n<h2>Discoveries<\/h2>\n<p>Watson <span id=\"urn:enhancement-3a1eda98-4d79-4fea-130c-3be33a3eab24\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/analytics\">Analytics<\/span> has been built to be accessible to non-technical users. It provides a set of tools for discovering patterns within datasets and building interactive visualizations. One of the key features of the application is <span id=\"urn:enhancement-cda85942-5593-d7b0-36de-e1e4f240ce47\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/natural_language\">Natural Language<\/span> Processing. According to Liddy (2001), <span id=\"urn:enhancement-83eeaff0-9ba8-880e-60b8-ddaeb6a3e622\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/natural_language\">Natural Language<\/span> Processing is a range of computational techniques for analyzing and representing naturally occurring texts at one or more levels of linguistic analysis for the purpose of achieving human-like language processing for a range of tasks or applications. In <span id=\"urn:enhancement-9a0f7cd5-f003-2035-e4ff-498ca58a87e4\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/watson_computer\">Watson<\/span> <span id=\"urn:enhancement-3dc41f64-38b1-41bb-e3d6-32449c44f23b\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/analytics\">Analytics<\/span>, generating visualizations and reports for management is done in three main stages:<\/p>\n<ul>\n<li>Data Refinement: Cleansing and refining, and grouping datasets<\/li>\n<li>Discovery: Using NLP to generate visualizations and predictive models<\/li>\n<li>Display Generation: Building dashboards, infographics and expert storybooks<\/li>\n<\/ul>\n<p>As mentioned earlier, no further cleansing or refinement of the <span id=\"urn:enhancement-2062f61c-3bd7-091f-645a-0fc8c4f6d732\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/data\">data<\/span> has been done for the purposes of this paper. We will be looking primarily at the second two stages, which include discovery and display generation.<\/p>\n<h3>Laptop Discovery<\/h3>\n<p>In this discovery set, price_<span id=\"urn:enhancement-ec4cc95e-77e3-3ce8-f8f9-2f6d6081f0b1\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/euro\">euros<\/span> (or price) was the <span id=\"urn:enhancement-54f6769c-cd86-5241-051c-910dbc81e6f8\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/dependent_and_independent_variables\">target variable<\/span> and is shown in the very first <span id=\"urn:enhancement-34dfcb66-6fe9-d3e7-7fe5-c9076d213526\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/visualization_computer_graphics\">visualization<\/span> below. Several other main <span id=\"urn:enhancement-d055d6cb-72d1-75f3-8b23-f653d114bae8\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/visualization_computer_graphics\">visualizations<\/span> were created as documented below, which focus on price drivers including a decision tree:<\/p>\n<ul>\n<li>Price Drivers: What drives price_<span id=\"urn:enhancement-111b597e-d22d-b2a1-f0cd-9238f4243e43\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/euro\">euros<\/span>?<\/li>\n<li>Price by <span id=\"urn:enhancement-f096b0f6-fea1-b65c-a5ff-b8352c52afdd\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/random-access_memory\">RAM<\/span> &amp; Price by <span id=\"urn:enhancement-68877e13-83a6-7482-4bae-2ed2e201c4c0\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/random-access_memory\">RAM<\/span> (Filtered): How do the values of price_<span id=\"urn:enhancement-de18a86f-e0a6-d979-3eb2-dc6b988b75cc\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/euro\">euros<\/span> compare by ram?<\/li>\n<li>Price by Resolution &amp; Price by Resolution (Filtered): What are the values of price_<span id=\"urn:enhancement-92e01895-0f6c-7657-decb-b538d0b7f26c\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/euro\">euros<\/span> for each screen resolution?<\/li>\n<li>Price Decision Tree: What is a predictive <span id=\"urn:enhancement-7e337aff-eae4-1b35-7309-0fe0a8dd5e17\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/conceptual_model\">model<\/span> for price_<span id=\"urn:enhancement-550bc08d-8fa8-ad6c-8f35-3f16f58df667\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/euro\">euros<\/span>?<\/li>\n<\/ul>\n<p>In two of the discoveries, further filtering of the <span id=\"urn:enhancement-b494da5f-f930-ff41-d3b7-df30107cbbe2\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/data\">data<\/span> was required to provide meaningful results. This was the case with both Price by <span id=\"urn:enhancement-e7b910ee-fb3f-1d18-08b3-2ac4216cfe4d\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/random-access_memory\">RAM<\/span> and Price by Resolution. For Price by <span id=\"urn:enhancement-5d3548ce-3ac7-cd49-bc9b-6cefb5718150\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/random-access_memory\">RAM<\/span>, the number of options of <span id=\"urn:enhancement-6f13dc29-4a72-1b6d-0b01-0f9826cee03e\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/random-access_memory\">RAM<\/span> was reduced to provide a greater understanding of the impact on price. This involved filtering out lower <span id=\"urn:enhancement-8c1b8ec4-efef-158b-3a47-7c868151a752\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/random-access_memory\">RAM<\/span> amounts. In the dataset, the resolution value was combined with other attributes including the type screen, touch screen features, etc. In order to get a more meaningful <span id=\"urn:enhancement-8049f172-804b-5d53-b939-280bc771d7fc\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/visualization_computer_graphics\">visualization<\/span>, only those values that contained the actual resolution was used in the filtered discovery.<\/p>\n<h3>Mobile Phone Discovery<\/h3>\n<p>In this discovery set, price_range was the <span id=\"urn:enhancement-9868136b-a35c-d1c6-1cb5-e68e4d30cfe3\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/dependent_and_independent_variables\">target variable<\/span>, complimented by several other <span id=\"urn:enhancement-c552cfd9-a0ef-b67a-3d94-267c95d5f420\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/visualization_computer_graphics\">visualizations<\/span> including another decision tree <span id=\"urn:enhancement-b2e17a7a-139d-24d1-efba-53b4f3f8e910\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/conceptual_model\">model<\/span>. All <span id=\"urn:enhancement-816bed58-2ce8-3795-0393-11acf8ef833a\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/visualization_computer_graphics\">visualizations<\/span> have been included in Appendix 5-8. The <span id=\"urn:enhancement-662e3514-0c6e-9b38-3131-b869752bea77\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/visualization_computer_graphics\">visualizations<\/span> in this discovery include:<\/p>\n<ul>\n<li>Price Drivers: What drives price_<span id=\"urn:enhancement-24fae613-f5de-c677-15bb-c0b28c7cd304\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/euro\">euros<\/span>?<\/li>\n<li>Ram to Price: What are the values of ram for each price_range?<\/li>\n<li>Battery Power to Price: What are the values of battery_power for price_range?<\/li>\n<li>Price Decision Tree: What is a predictive <span id=\"urn:enhancement-cd1e247a-fab4-4343-d535-544b8cea7af9\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/conceptual_model\">model<\/span> for price_range?<\/li>\n<\/ul>\n<p>Each of the <span id=\"urn:enhancement-7a639988-7e4e-56e9-0234-c922317714c1\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/visualization_computer_graphics\">visualizations<\/span> supported the story behind those factors that drove price range. The first <span id=\"urn:enhancement-2250fdf5-b1d5-04e2-5614-2fdb7d4a03f9\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/visualization_computer_graphics\">visualization<\/span>, Price Drivers, utilized a spiral chart to illustrate the top factors impacting price. This was later converted into a decision tree in the last <span id=\"urn:enhancement-6724452e-9044-9c17-83ed-a009526c4f82\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/visualization_computer_graphics\">visualization<\/span> described above.<\/p>\n<h2>Displays and the Expert Storybook<\/h2>\n<p>Once the main discoveries had been created, the next step was to publish these into displays that would be suitable for management or other project stakeholders. The display options in Watson <span id=\"urn:enhancement-3d05114b-f9c5-e10f-92c1-5ec5664a6908\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/analytics\">Analytics<\/span> provides various options for creating:<\/p>\n<ul>\n<li><strong>Dashboards<\/strong>: Layouts that provide tabbing or grouping functionality and display of key discoveries<\/li>\n<li><strong>Infographics<\/strong>: One-page layouts that provide a single formatted container for all key discoveries<\/li>\n<li><strong>Expert Storybooks<\/strong>: Report style functionality that house multiple dashboards and infographics<\/li>\n<\/ul>\n<p>Two main <span id=\"urn:enhancement-84930e50-d7bd-5a47-a4e1-e31f77f7b029\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/dashboard\">dashboard<\/span> displays were created, laptop price <span id=\"urn:enhancement-2d0a5dab-014e-4b26-a2fa-f71011635ef0\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/dashboard\">dashboard<\/span>, and mobile price range <span id=\"urn:enhancement-72f9065b-ab60-0d66-5e4e-13c125345b68\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/dashboard\">dashboard<\/span>. Both of these dashboards were assembled using the drag and drop tools provided within Watson <span id=\"urn:enhancement-33d64229-eedb-e60a-7f30-fdf4bba8d9be\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/analytics\">Analytics<\/span>.<\/p>\n<p><a href=\"\/rapid-reporting-and-visualization-development-with-watson-analytics\/a9-2\/\" rel=\"attachment wp-att-7825\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-7825 size-full\" src=\"\/wp-content\/uploads\/2018\/11\/a9-1.png\" alt=\"Dashboard\" width=\"974\" height=\"679\" srcset=\"https:\/\/www.carnaghan.com\/wp-content\/uploads\/2018\/11\/a9-1.png 974w, https:\/\/www.carnaghan.com\/wp-content\/uploads\/2018\/11\/a9-1-300x209.png 300w, https:\/\/www.carnaghan.com\/wp-content\/uploads\/2018\/11\/a9-1-768x535.png 768w\" sizes=\"(max-width: 974px) 100vw, 974px\" \/><\/a><\/p>\n<p>To create the dashboards, the various discoveries that were generated earlier were chosen and placed in the display. Each of the dashboards were broken down into four visualizations. Since they were both based off different datasets, but drew resemblance in the <span id=\"urn:enhancement-c6500f99-adbe-4817-60be-87ef84c0d775\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/dependent_and_independent_variables\">target variable<\/span>, each started with the drivers of price on the top left-hand corner. Other charts supported the various drivers using different chart options to provide a visually appealing overview of the <span id=\"urn:enhancement-33a5040d-8d20-f394-1a89-4218ec999ed8\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/data\">data<\/span>. The <span id=\"urn:enhancement-cb141e0f-ab49-3862-7c88-61642992205b\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/visualization_computer_graphics\">visualization<\/span> on the bottom right corner of each <span id=\"urn:enhancement-0b2a8540-fafe-f4b6-01c9-883e8e3f347d\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/dashboard\">dashboard<\/span> represented the predictive <span id=\"urn:enhancement-2b41e48c-af02-000b-0462-e6d462c13bbc\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/conceptual_model\">model<\/span> in the form of a decision tree along with the associative predictive strength.<\/p>\n<p>Bringing everything together was where Watson <span id=\"urn:enhancement-0d216221-5aad-ed97-a581-9f5062859b13\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/analytics\">Analytics<\/span> provided the greatest benefit in the form of an expert storybook. The story book, illustrated below, provided a professional looking cohesive reporting tool that was production ready for management review.<\/p>\n<p><a href=\"\/rapid-reporting-and-visualization-development-with-watson-analytics\/a11-2\/\" rel=\"attachment wp-att-7826\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-7826 size-full\" src=\"\/wp-content\/uploads\/2018\/11\/a11-1.png\" alt=\"Storybook\" width=\"974\" height=\"585\" srcset=\"https:\/\/www.carnaghan.com\/wp-content\/uploads\/2018\/11\/a11-1.png 974w, https:\/\/www.carnaghan.com\/wp-content\/uploads\/2018\/11\/a11-1-300x180.png 300w, https:\/\/www.carnaghan.com\/wp-content\/uploads\/2018\/11\/a11-1-768x461.png 768w, https:\/\/www.carnaghan.com\/wp-content\/uploads\/2018\/11\/a11-1-627x376.png 627w, https:\/\/www.carnaghan.com\/wp-content\/uploads\/2018\/11\/a11-1-440x264.png 440w\" sizes=\"(max-width: 974px) 100vw, 974px\" \/><\/a><\/p>\n<p>The story book encapsulated both dashboards created under displays, allowing the an easy to navigate format for the user, who could quickly switch within both datasets. In addition, the expert storybook also provided an interface for accessing the <span id=\"urn:enhancement-7fd22eb1-2a53-155e-4a5f-f213fe41e7bc\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/natural_language\">Natural Language<\/span> Processing question functionality. This in itself is a very powerful addition to any report, allowing non-technical users to gather more insight from the datasets available within the story book.<\/p>\n<h2>Usefulness of Information and Results from Displays In Real Life<\/h2>\n<p>In my organization, we manage a lot of projects that collect large amounts of <span id=\"urn:enhancement-536b36e0-088d-ff3c-744f-2c0d7c66faf3\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/data\">data<\/span>. There are sophisticated software and tools available to the project teams and analytics personnel, however they require expert technical understanding in order to use effectively. On the other hand, we also have a lot of staff with expert domain knowledge, who do not have the level of technical expertise needed to use these tools. <span id=\"urn:enhancement-448f6d42-fe25-09fa-740b-3b48521efa42\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/watson_computer\">Watson<\/span> <span id=\"urn:enhancement-e6b780bf-bd3c-7426-9386-82764ad68ac2\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/analytics\">Analytics<\/span> could effectively provide a way for non-technical project members to have greater access and insight into the <span id=\"urn:enhancement-8f0c40a2-d415-3b24-d565-7abb1e14ec7e\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/data\">data<\/span> we manage. In addition to this, the value of being able to rapidly develop and distribute insightful dashboards and infographics would be extremely beneficial to the highly agile nature of our project teams.<\/p>\n<p>The only resistance to using a tool like <span id=\"urn:enhancement-7306772e-30b7-14a0-82f7-9ce2a1483d0b\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/watson_computer\">Watson<\/span> <span id=\"urn:enhancement-6ad83e94-4316-e526-b299-d5ed77b9192e\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/analytics\">Analytics<\/span> would be from a security standpoint. Because the tool is cloud-based and a lot of the <span id=\"urn:enhancement-ea93ffe1-a2a4-26ee-ead5-f9dc99fc702e\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/data\">data<\/span> we collect contains Personally Identifiable Information (PII), using <span id=\"urn:enhancement-86b87609-de21-9402-ffb6-55c28675d0f2\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/watson_computer\">Watson<\/span> <span id=\"urn:enhancement-3929a037-b8ca-229d-2a59-e94cf1de474e\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/analytics\">Analytics<\/span> may not be possible within certain subsets of <span id=\"urn:enhancement-f885eab5-b29e-d01a-c360-a957a84f8a78\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/data\">data<\/span>, unless filtered or parsed before using on this platform. The benefits are however compelling and it would be interesting to see how <span id=\"urn:enhancement-b05c3084-366b-62f8-34b1-1ddf3fbd661f\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/watson_computer\">Watson<\/span> <span id=\"urn:enhancement-2ec0fce4-1ff1-b4a3-5caf-459359eb4f53\" class=\"textannotation disambiguated wl-thing\" itemid=\"http:\/\/data.wordlift.io\/wl01166\/entity\/analytics\">Analytics<\/span> could provide value and insight to personnel that it was not previously accessible to.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Watson Analytics provides a powerful suite of display and rapid reporting options. This article looks at two distinct datasets from Kaggle, Laptop Price and Mobile Price Classification. By using the display options available within Watson Analytics, the ability to create a compelling story possible. Both sets of analysis are focused around the target variable of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7153],"tags":[],"post_series":[7154],"class_list":["post-7822","post","type-post","status-publish","format-standard","hentry","category-data-analytics","post_series-decision-management-systems"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Rapid Reporting and Visualization Development with Watson Analytics - Ian Carnaghan<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.carnaghan.com\/rapid-reporting-and-visualization-development-with-watson-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Rapid Reporting and Visualization Development with Watson Analytics - Ian Carnaghan\" \/>\n<meta property=\"og:description\" content=\"Watson Analytics provides a powerful suite of display and rapid reporting options. This article looks at two distinct datasets from Kaggle, Laptop Price and Mobile Price Classification. By using the display options available within Watson Analytics, the ability to create a compelling story possible. 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