How do I Publish my #WatsonAnalytics Content to the Analytics Exchange?

The Analytics Exchange (AE) is a feature which is accessible to users of Watson Analytics. Here, users may browse through a large collection of sample data sets and Expert Storybooks which have been published to the AE by other Watson Analytics subscribers. As these assets are shared publicly, the purpose of the AE is for users to collaborate with one another outside of their respective Watson Analytics tenants. While all users are encouraged to import assets from the AE into their own tenant, not all users have the ability to publish content to the AE. The AE is accessed from the drop-down arrow located at the top of left corner of the Watson Analytics user interface. Question: I am a subscriber to Watson Analytics Plus/Professional and I noticed that I have access to the Analytics Exchange. I would like to publish my own content to this public area, but cannot do so as I am not authorized. How do I publish content (either a data set or an expert storybook) to the Analytics Exchange for public consumption? Solution: Currently, the publisher role is reserved for a select group of Watson Analytics users who are a part of IBM, an IBM business partner, or a customer who has been approved by an IBM representative. Approval is based on the user’s particular business justification for publishing content publicly. To become enabled with a publisher ID on the Analytics Exchange, IBMers, business partners, and customers alike will need to take the following actions: Contact Watson Analytics support via discussion post, ticket or chat requesting that the publisher role on the Analytics Exchange be enabled for your ID. The assigned support representative will be required to obtain your business justification, and if adequate, will become the IBMer sponsoring you as a publisher (in the case of Business partners and customers). You will be provided a document outlining our terms and conditions. Before you become a publisher on the AE, it is crucial that you fully understand and subsequently abide by the terms of the agreement. Your IBM representative will coordinate with the Analytics Exchange team on your behalf then will confirm with you when you have been given the publisher role. Once confirmed, you may publish content to the Analytics Exchange. That content can then be viewed by all other subscribers to Watson Analytics, and in the future may be imported into the tenants of other users to derive further findings. More Information: Please reiview the relevant Watson Analytics documentation regarding Publishing a Storybook to the AE and Using a Storybook for a more in depth discussion of these issues.  


How do I Import an Image to #WatsonAnalytics from IBM Box?

Question: I am attempting to add an Image Widget to my Watson Analytics Display Dashboard using an image stored on IBM Box and I am receiving one of the following errors: “This type of media is not supported” or “The image URL is not valid”. How can I add an image to my Watson Analytics Display Dashboard that is stored on IBM Box? Solution: The standard ‘Share Link’ that IBM Box generates is not a valid image URL that can be used with the Watson Analytics image Widget. An IBM Box direct link to the image can be used with the Watson Analytics image Widget.  To obtain a useable direct link to the image from IBM Box, use the following steps. 1. Login to IBM Box and navigate to your stored image. 2. Click the ‘Share’ button beside the image you would like to import to Watson Analytics. The dialog box will display a Shared link for the image .  Confirm the default ACCESS TYPE to “People with the link”. 3. After the ACCESS TYPE is set, click the Settings icon just above the Copy button to open the Shared Link Settings. Click the Direct Link Copy button. 4. Return to the Watson Analytics Dashboard image Widget and paste in the copied link and press enter. The image will then appear on the Watson Analytics Dashboard. More information: Please review the following Watson Analytics documentation regarding Adding images and shapes. You may access your instance of IBM Box here.          


How Do I Connect #WatsonAnalytics to my Instance of Salesforce so it may be used as a Data Source?

Question: I am having difficulty connecting my instance of Watson Analytics to Salesforce so it can be used as a data source. What is the Procedure for connecting these two products? Solution: Note: Connecting Watson Analytics to Salesforce requires the user to have a Developer or Enterprise (paid) version of Salesforce. The free version of Salesforce will not allow for connecting to Watson Analytics. The purpose of this tutorial is to guide a user to obtaining a security token which must be affixed to the Salesforce password in order to successfully connect. Log in to Salesforce. By default the Lightning Experience should be enabled. To confirm, navigate to Lightning Experience found on the left side panel and verify that it has been enabled. Access Settings found in upper left user icon (depicted with a user icon). Search for Security and click Reset My Security Token. Click the Reset Security Token button. You should receive an email with your new security token. From the email, copy the Security Token (this is used at the end of a Salesforce password) In IBM Watson Analytics, create a data connection. From the User menu icon, select Account Settings. From the Connections menu on the left side of the screen, select Data Connections. Click the Create new connection icon. Click the icon. In the Password with security token text box, enter your password appended with the security token copied in Step 5. Required Fields – Connection Name: XXXXXXXXX Username: “Insert Salesforce Login ID” Password with Security Token: “Password”+”SecurityToken” (no space or symbol in between both) You should now have a successful connection from Watson Analytics (WA) to (SFDC)


How do I configure a Secure Gateway between #WatsonAnalytics and an On-Premises Data Source?

Question: I would like to configure a data connection between an on premises database and IBM Watson Analytics. I understand a Secure Gateway client is required in order to do so. What is the procedure for configuring a Secure Gateway Client in Watson Analytics, and subsequently, a database connection through that Secure Gateway? Solution: Before following the steps outlined below, in order to configure your Secure Gateway it is important to note that not all Data Connections require the use of a Secure Gateway Client. Depending on the nature of the data source to which you are attempting to connect, it is quite possible that you may proceed with configuring the data connection without a Secure Gateway configured. 1. Click the user icon on the top right of the screen once you are logged in to Watson Analytics, then click Account settings. 2. On the left hand side of the screen, click on Secure gateways then Add Gateway. 3. Provide a name and click Add Gateway. Note: You may name your Secure Gateway anything you wish, but it may be beneficial to choose a name which indicates the data connections that will be configured through this particular Secure Gateway to avoid future confusion. In this example we’ve used the name ‘Gateway for XXX database’. 4. Click Connect Client which will prompt the installer screen for the Secure Gateway Client. Click IBM Installer, then the installer for your operating system. For this example, I will use Windows as the operating system. Be sure to document the provided Gateway ID and Security Token (in notepad, for instance) as it will be required later during the installation process. 5. Download the installer, launch it, and follow the on-screen steps. When prompted, select the Install as a Windows Service check box and click Next.  In the subsequent screen, paste in the previously copied Gateway ID and Security token and click Next. 6. On the next screen, select Yes to using the client UI. It provides a high level view of the secure gateway client directly from the browser instead of the command line. 7. Install the Secured Gateway and close the Setup once it completes. You can find the secure gateway client in Start -> All Programs -> IBM -> Secure Gateway Client. (If the file directory was left to the default path). 8. Open the client and you will see the following command line: Type Y and press Enter. The following screenshots depict a successful Secure Gateway Client Setup. Within the command line: Within Watson Analytics: 9. Defining access to the on-premises database. The Secure Gateway client provides embedded Access Control List (ACL) support.  This gives you the ability to restrict or allow access to the on-premises database which is documented in detail here. An ACL may be defined to be unbounded (i.e. the Secure Gateway may be used to connect to any database, regardless of Hostname or Port), or, the user may choose to define the ACL to be restricted (i.e. the Secure Gateway may only be used to connect to a particular Hostname/Port). If you are aware of the hostname or port to which you would like to connect using this Secure Gateway, it is recommended that you type “acl allow hostname:port” as defined in the document. For the purposes of this documentation, we will use the unbounded method.  Also, as a tip, unbounded access is good for initial setup to make sure it all works and can be further secured later once proven a connection is made. To create the unbound access:  Type acl allow : in the command prompt. 10. In Watson Analytics, click Data Connections from the left panel. Click on the + icon to add a database. 11. Choose the data connector which represents the database to which you would like to connect. Fill out the required information. Make sure you select the Secure Gateway you’ve just configured: 12. Click Create. 13. To test the connection, go back to the Welcome Screen. Click + New Data, then click the Connection tab. You will see your connection listed there. You can click on it and navigate to the file you want to import to Watson Analytics. More Information: Please review the relevant documentation on Secure Gateways and Data Connections  

Getting Started

Getting Started Tutorial for IBM Watson Analytics

We all ask questions about our data every day. Some questions are about a status or situation. Some are about why something happened. In short, when it comes to data, we want to know what is happening, why it’s happening, and what insights need to be communicated with others. IBM® Watson™ Analytics can help you understand your data, find insights that are hidden in your data and provide you with answers to make confident decisions – all on your own. This tutorial uses sample data to walk you through the skills you need to get started. Each chapter covers a different area of Watson Analytics, from importing data to discovering insights to sharing these insights in a dashboard to social media analytics. Take 15-30 minutes to complete a chapter, or complete the entire tutorial in about 90 minutes. Getting started with IBM Watson Analytics Last updated: 2017-09-13


Calling all brilliant minds - Call for speakers is open now for #IBMThink

We want your story at Think 2018. Imagine an event where the problems of tomorrow meet the minds of today. An event where communities of people with a shared vision and purpose come together to realize exponential outcomes through the power of IBM. This is Think. We are thousands of forward-thinking individuals addressing our biggest challenges with the latest advances in AI, cloud, IoT, security, and connected data. Let’s think together. The call for speakers is now open. Submit your story.


Get to know the new, thoroughly modern IBM Business Analytics

IBM has been changing business analytics up lately and we want you to know all about it. That’s why we’re inviting you to join Marc Altshuller, General Manager, IBM Business Analytics, and his senior leadership team for a webinar on September 11, 2017. You’ll hear how we’ve modernized IBM Business Analytics by making analytics more autonomous for more people while keeping the full capabilities and rich features of enterprise solutions. Register for “Meet the New and Modernized IBM Business Analytics” now. Marc and his team will also explain why our new business analytics is now smarter to benefit all users. The convergence of self-service and enterprise capabilities means you can achieve business user agility without compromising scalability and governance. Don’t miss this opportunity to get to know business analytics all over again—fresh, modern and smart. You’ll even get a preview of IBM Analytics University, coming to Berlin and New Orleans in October. Register for the webinar today.   Event Meet the New and Modernized IBM Business Analytics Mon., Sept. 11, 2017 11:00 AM EDT   Speakers Marc Altshuller, General Manager, IBM Business Analytics Andrew Lee, Vice President, Cloud Client Success and Support, IBM Business Analytics Giovanni Carraro, Director, Global Sales, IBM Business Analytics


What does the message, 'Delay Loading Data' mean in #WatsonAnalytics?

Question: I’ve attempted to upload a large data set to Watson Analytics. After some time, the data tile is showing a message which states: ‘Delay Loading Data’. What exactly does this message mean, and how do I get the message to go away, allowing Watson Analytics to successfully import my data set? Solution: When attempting to upload a data set (local file or data connection), after some processing time you may see the message “Delay loading data” as shown below. As with any product consuming data, the length of time needed to upload, process, analyze, and load is correlated with the size of the source data being consumed.  With this in mind, as the data grows, so will the overall time required to upload the data to Watson Analytics. When it is determined that the size of the data set is substantial enough to require a longer than expected time to upload, you will be presented with the notification “Delay loading data”.  This message is by no means an error message but instead a notification.  The notification is an indication to the user that the loading process will continue in the background until the data has loaded successfully. In the meantime, the user is free to work elsewhere in Watson Analytics. Once the data loading process has completed, the notification will disappear, and the data tile will function as expected. Manually checking the current status & possible issues While the delay loading data notification is displayed, the upload process continues in the background.  There is an option presented for the user to retrieve information on the current status of the upload process.  The current status may be obtained by clicking on the information icon displayed at the bottom of the tile which will explain the meaning of the notification.  The expanded information icon also provides the option to ‘Check status’.   The ‘Check Status’ option will only prompt a more detailed error message if there is indeed an issue importing the data beyond a simple delay. If the reason for the original ‘Delay Loading Data’ message is solely due to the fact that the large data set is taking a substantial time to upload, tapping ‘Check status’ will revert the tile back to the original message. Watson Analytics simply requires more time to process the upload in this case. In some rare cases, the ‘Delay Loading Data’ message will remain present for a number of hours.  In such a scenario, it is likely a problem has occurred even if the ‘Check status’ option has not prompted a more detailed error message. There are number of possible reasons for this, such as your secure gateway was disconnected temporarily or permanently during the upload process, or the database hosting the data refused/terminated the connection at some point. In the event of a problem during the loading process while the “Delay loading data” notification is present, it is possible to click on the tile menu (ellipsis, bottom right corner of tile).  You can then attempt to replace the data to determine if a subsequent import attempt will succeed. Attempting to restart the upload process by using the replace feature allows the user to work around any interruptions that may have occurred during the original upload attempt.   Should the issue persist at this point, it is recommended that you contact support for further troubleshooting. The support process for our various subscription levels may be found in a previous blog post.  

1 2 3 28

IBM Analytics University 2017

Follow the conversation