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As you discover new insights about your business, you want to share your findings with others. With the Assemble feature in Watson Analytics, you can create engaging and interactive dashboards and infographics for yourself and others. Assembling is different from exploring, which provides visualizations that help you explore your data and from predicting, which creates spiral graphs and other visualizations to help you determine predictors of a target. Check the Watson Analytics Community for the two quick start guides for Predicting with Watson Analytics and Exploring with Watson Analytics. This guide for Assemble covers dashboards; the features shown apply equally to infographics and stories. In addtion, you can view a tutorial video for a quick demonstration of the features. To get started, log in to Watson Analytics. The Welcome screen appears and you can get to work as follows: 1. Click the Assemble tile. 2. Select your data set. 3. Name your dashboard view. 4. Choose your template. Templates help you quickly assemble content in the most appealing layout. You can override the template's defaults if you want to change something. When you drag data or an object to a dotted box in the selected template, it is sized and positioned based on the defaults defined in your template. All templates, except Freeform, will adapt the content to fit the width of the screen. 5. Click create. Your new dashboard opens automatically. The data from your data set is at the bottom of your dashboard and you can slide the tab up to see more of it. 6. Select the data you want to use and drag it onto your dashboard template. In this example, Watson Analytics adds the gross profit and displays it as a sum. 7. Drag and drop your other data. In this case, product type, year and more are added. As you drag and drop, Watson Analytics converts the data into recommended visualizations. You can also add data to an actual visualization by dragging new data directly onto the existing visualization. 8. To change the visualization type for any visualization in your view, tap the circle at the top of the infographic, click button on the right that indicates visualizations and then tap the type of infographic you want to change it to from the graphical menu that appears. 9. If you would like to enhance your dashboard with other objects such as images or video, click the plus (+) sign in the circle at the top left. A pop up appears and you can indicate that you want to add text, videos, links to web pages, images or shapes by clicking the icon. For other quick start guides and more detailed product information, check the Expert blog section of the Watson Analytics Community... //
Watson Analytics provides powerful visualizations that help you explore your data to discover patterns and relationships that affect your business. This quick start guide shows how you can explore your data in Watson Analytics and create a workbook from your exploration. To get started, log in to Watson Analytics, which opens the Welcome page. You can then access the set of data you want to use for your workbook in one of three ways. Method 1: Click Explore and the available sets of data appear in a pop up. Select your data from that pop-up. Method 2: Click Add in the center of the page. In the pop up that appears, click Exploration. Or, if you want to upload a new set of data, click Add. When you click Exploration, you get the data set pop up and can select your data from there. Method 3: Use the tiles for the sets of data on the Welcome page. Look for the set of data you are interested in and click the tile. After you have accessed your set of data with one of these methods, click Exploration to create your workbook. While it creates your workbook, Watson Analytics is already processing your data so when your workbook is complete, you are automatically given some starting points for exploring your data. You can use the tiles Watson Analytics creates for you or ask your own question. Either way, Watson Analytics creates interesting visualizations of your data from these starting points. You can insert a new page by clicking an insight or click the plus (+) sign to return to your starting points, where you can choose another or ask a new question. To save your visualizations and details, go to the top left of the page and click the menu button (three vertical bars), where you can name and save your workbook. To save your visualizations and details, go to the top left of the page and click the menu button (three horizontal bars). Then, name and save your work. The Watson Analytics Community features other quick start guides and tutorials, so spend some time and check them out. //
When you know your data well, you can use the Watson Analytics predict feature as a kind of shortcut to analytic insights. You use data that you have already uploaded for your prediction, which is different from an exploration. To learn about exploration, see the "Exploring data with Watson Analytics: A quick start blog," which you can also find here in the Watson Analytics Community. Here's how you can use your data to create predictions. 1. Log in to Watson Analytics. From the Welcome page, click Predict. 2. From the data selection page that opens, select the set of data you want to use by clicking its name. 3. When the Create a Prediction page appears, you see that Watson Analytics has taken your source data and provided you with suggested targets. In this example, the target is churn. You can have up to 5 targets. You can also edit the target fields (for example, adding labels). After you make any changes or if you are satisfied with the suggested target, enter a name for your workbook at the top and click Create Prediction. 4. Watson Analytics builds a prediction workbook by automatically running thousands of algorithms to find the right model and likely predictors. 5. After the workbook is created, Watson Analytics launches a page with a spiral graph and relevant predictors. 6. This is where it gets fun. Click through the predictor level chooser to see what other fields affect your target and look at the results in the visualization tiles to the right. Or add fields to create a combination model, which enables you to drill into the rules behind a decision, and navigate down into the aspects of the decision. And that’s it. The fastest way to start using Watson Analytics to predict and explain the meaning behind the data. For more tutorials, browse the Watson Analytics Community. //
Get started with Watson Analytics With Watson Analytics, you can instantly access and use predictive and visual analytics to can find answers and insights in your data. No expensive training or time-consuming setup is needed. This blog will give you a few hints to help you get started. When you log in to Watson Analytics, the welcome screen provides you with these analytics options: Explore Predict Assemble Social Media Refine This getting started guide shows you how to use the Explore, Predict, and Assemble capabilities. If you want a question about your data answered, Explore can help. After selecting your data set, Watson Analytics provides you with recommended questions for exploration or you can ask a question you would like answered from the data. You start just like you would ask someone a question, and Watson Analytics will respond in clear, concise terms and visualizations everyone can understand. As an example, here we have selected a data set “American Time Use Survey” and asked the question – “Does higher education lead to higher salary?” (Screen 1). Screen 1 Watson Analytics responds with a range of visualization options, such as: “What is the breakdown of Weekly Earnings by Education Level?” (Screen 2). Screen 2 Predict If you want to identify the factors most likely to affect a specific target or goal, click Predict. Watson Analytics processes uploaded data that you indicate and provides you with a spiral that shows you the factors that influence your target. The closer the factor is to your target, the stronger the influence. For example, you might be an insurer who wants to know the top drivers of customer lifetime value for your firm. The Spiral Chart (Screen 3) shows you the strongest individual drivers. “Number of Policies” is closest to the center, so it is clearly the strongest single determinant of Customer Lifetime Value. Screen 3 You can hone your results by combining drivers and predictors for more accurate results or review additional visualization tiles. (Screen 4) Screen 4 Assemble If you want to view your historical data in a dashboard or in visualizations so you can better understand your data and communicate your findings, click Assemble. Templates help you choose an appealing layout. When you drag data or an object to a dotted box in the selected template, it is sized and positioned based on the defaults defined in your template. After you click Create, the data from your data set is at the bottom of your dashboard and you can slide the tab up to see more of it. Simply drag data into your template. Watson Analytics converts the data into recommended visualizations. You can also add data to an actual visualization by dragging new data directly onto the existing visualization. Screen 5 What are you waiting for? Watson Analytics is that easy: Explore, Predict and Assemble with the click of a button. Just add your data, think of your questions, and begin uncovering the business insights that lead to better outcomes. //