1 / 52

Course Lab Introduction to IBM Watson Analytics

University of Rome «La Sapienza» Course of Business Intelligence - 2018. Course Lab Introduction to IBM Watson Analytics. Lab Speakers. Ing. Ivonne E. Vereau Tolino Software Engineer IBM Software Services Specialist ivonne_vereau@it.ibm.com. Ing. Vittorio Carullo Software Architect

miguell
Download Presentation

Course Lab Introduction to IBM Watson Analytics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. University of Rome «La Sapienza» Course of Business Intelligence - 2018 Course LabIntroduction to IBM Watson Analytics

  2. Lab Speakers Ing. Ivonne E. VereauTolino Software Engineer IBM Software Services Specialist ivonne_vereau@it.ibm.com Ing. Vittorio Carullo Software Architect IBM Watson Squad Senior Member v.carullo@it.ibm.com

  3. Target & Scope • Familiarize with a «real» software used in large enterprises • Accomplish small butsignificant use cases in BI arena • Understand the impact of tools over team productivity • Introduce advancedtopicslikethe use of “non structured” information Lab sessions will be held on Thursday, starting from September 27, 2018 , 4 - 6 pm

  4. Labs Schedule • Presentation of the tool and itsbasic features Lab 1: Introduction to Watson Analytics • Understanding and use of the toolfeatures or conducting BI use cases Lab 2: Working with Data Lab 3: Analyze and Discover Lab 4: Predict and take decisions Lab 5: Report and visualization • Use of the tool for Advanced Analytics Lab 6: Working with Social Media Lab 7: Introduction to Content Analytics Lab 8: Putting all together Today’stopicis highlighted!

  5. Reference Materials Explore IBM Watson Analytics https://public.dhe.ibm.com/software/data/sw-library/analytics/watsonanalyticsgallery/ A gallery of use cases with relateddatasets and supporting data visualizations IBM Knowledge Center https://www.ibm.com/support/knowledgecenter/en/SS4QC9/com.ibm.solutions.wa.doc/welcome.html A technicalreference for product features

  6. Today’s Contents: Report and Visualization • Assemble a display • VisualizationType • Display Properties • FilterVisualization • Hands On

  7. 1. Assemble a Display

  8. Display • After discovering the insights in your data and creating your Discovery Sets, use Display to build and communicate your data story to others by creating dashboards and infographics based on the discoveries you’ve found in your data. DISPLAY DISCOVER DATA

  9. Display • Create a Display of relevant analyses that you want to monitor on a regular basis. • Simply browse through your discoveries and selectively drag the visualizations you want onto the dashboard canvas. • You might set filters globally across all tabs, or per tab. • You can modify visualization types and properties.

  10. Display • When you’ve finished building a display, you can share it by email, download, link or social media. • You can save the display in your Personal directory. • You can move dashboard to another folder on the Landing Page

  11. Assemble a Display

  12. Assemble a Display

  13. Assemble a Display

  14. Assemble a Display

  15. Assemble a Display Drag And Drop

  16. Assemble a Display

  17. Manage the Display • At this point, you can: • Change a visualization currently in your Display • Modify the overall appearance of the Display, as well as the individual visualizations • Filter the data appearing in the Display

  18. Visualization Type

  19. How to change visualization types • You have created a Display of relevant analyses that you want to monitor on a regular basis. • At this point, you want to change a visualization currently in your Display. To do this, enter Edit mode, select the visualization you want to change

  20. How to change visualization types • Enter focus mode for the visualization.

  21. How to change visualization types • While in focus mode, you can change the type and format of the visualization.

  22. How to change visualization types • When changing the visualization type, Watson Analytics performs an analysis of the data items used in this visualization. • It then recommends the best possible options for changing to a new visualization type.

  23. How to change visualization types • You can also choose from a variety of other visualization types.

  24. How to change visualization types • For example, in this case, you will choose the most recommended Bar visualization.

  25. How to change visualization types

  26. How to change visualization types • You can format the visualization to suit your preferences.

  27. How to change visualization types • For example, you can use the Variations feature to swap the axis and stack the columns.

  28. How to change visualization types • You have now changed a visualization type in your Display.

  29. Display Properties

  30. How to modify properties of a Display • You must be in Edit mode. • To modify properties that affect the entire Display, ensure that you do not have any visualizations selected.

  31. How to modify properties of a Display • You can modify the background of the Display, using a Theme, or by choosing a specific background color. • Notice that, any changes you make to the current tab, are also propagated to all tabs in the Display.

  32. How to modify properties of a Display • You can also add widgets to the Display, to enhance its visual appearance. These can include basic objects such as Text, Image, Media, or Web page. • You can also choose from a wide variety of shapes that help you communicate and enhance understanding of your Display.

  33. How to modify properties of a Display • To modify properties of an individual visualization, select it in the Display, and then click Format. • There are many formatting options for individual visualizations. • You can change the Title Style by choosing to hide, or show the title, or to show, or hide filter details.

  34. How to modify properties of a Display • There are also options changing the appearance of objects in the visualization itself, including Line, Grid, Legend, Vertex Symbol, Axis titles, and legend position.

  35. How to modify properties of a Display • You can change the color palette, set the opacity,and modify the colors for Background, Border, and Element. • Depending on which visualization you select, the available properties may be different.

  36. How to modify properties of a Display • If you select more than one visualization, you can set properties for multiple visualizations at the same time, but only properties that are common to all selected visualizations can be modified.

  37. How to modify properties of a Display • You can modify additional properties for a visualization if you enter focus mode • You can change the visualization type. • You can show the Smart title for the visualization. • The Smart title provides more descriptive information, including keywords and question phrasing for how the visualization is derived.

  38. How to modify properties of a Display • You can create a Custom title. • You can also modify data items in the visualization using the data tray.

  39. Filter Visualizations

  40. How to filter visualizations in a display • You must be in Edit mode. • You can filter data on all tabs of a Display, using the global filters region. • You can filter data on the current tab using the local filters region.

  41. How to filter visualizations in a display • Because a Display can be created using Discovery sets that represent different data sets, the data items in the Filters list are from any data set represented in the Display.

  42. How to filter visualizations in a display • There are two methods to add data items to the Display so that they can be used as Filters: • If you use drag and drop, you can add the data item to either the local filters region, or the global filters region. • You can also add data items using the plus sign beside the data item. Clicking the plus sign adds the data item to the local filters region only.

  43. How to filter visualizations in a display • To apply the filter, you must choose values from the data item.

  44. How to filter visualizations in a display • If you add a data item representing categorical data, you can choose from a list of distinct values.

  45. How to filter visualizations in a display • If you add a data item representing continuous data, you can choose to filter on a range of values using the slider.

  46. How to filter visualizations in a display • In this case, you have added and applied a filter in the global region. The result is that you have filtered data, not only the current tab, but also on other tabs in the Display.

  47. How to filter visualizations in a display • You can filter using hierarchies. After adding the filter, you can begin to select values from the 1st level in the hierarchy. Or, you can navigate to the next level to select values.

  48. How to filter visualizations in a display You can filter individual visualizations in a Display, by selecting a data item in the visualization, and then choosing to keep or exclude the data item. Exclude removes the data item, while keep excludes all other data items and keeps the selected data item.

  49. How to filter visualizations in a display • You can also filter a visualization while in focus mode.

  50. How to filter visualizations in a display • In focus mode, you have access to the data tray, where you can apply filtering to data items that are not part of the visualization. Note that, the data items in the data tray are from the data set that was used to create the current visualization, not from any other data set.

More Related