SAP Analytics Cloud: Top 5 New Features | Q2 2026 Release Highlights — Transcript

Full transcript

1. 0:07In this video, we take a look at the top five features coming
2. 0:10your way in SAP Analyst Cloud. These include asymmetric reporting,
3. 0:16composite versioning,
4. 0:18inclusion of data export API jobs in the job monitor,
5. 0:21data panel, and reset and favorites in open and safe dialogues.
6. 0:26Hi, my name is Orla Cullen, and these are
7. 0:28your what's new updates for QRC2 2026. At
8. 0:46this release, we are excited to introduce a
9. 0:48powerful new capability called asymmetric reporting.
10. 0:52In real-world planning and financial reporting,
11. 0:54business users need flexibility, different views,
12. 0:57different levels of detail and meaningful comparisons
13. 1:00all in one place. Now let's see it in action.
14. 1:05In this demo we've built a rolling forecast table where accounts
15. 1:09are displayed in the rows. On the columns we show actuals
16. 1:12from January to April and the rest of the year as a forecast.
17. 1:16We also include a full year actuals plus
18. 1:19forecast view across the entire year.
19. 1:22Alongside this, we present the full-year budget, aggregated at
20. 1:25the quarterly level, and finally, we calculate the delta,
21. 1:28showing the difference between budget and actuals plus forecast.
22. 1:32Now let's see how the three innovations work together.
23. 1:35The first innovation, Measure Input Control and Restricted Measures
24. 1:39and Cross-Calculations, allow us to expose three input controls.
25. 1:43Current Date, Forecast Version and Currency Measure.
26. 1:46These dynamically drive the table.
27. 1:49For example, Current Date lets us adjust
28. 1:51the cutoff date from April to July.
29. 1:54The second innovation, Dynamic Time Filters for
30. 1:57Restive Period, ensures that when selecting July 2025,
31. 2:01actuals automatically display from January to July.
32. 2:04In addition, the other input controls let users switch
33. 2:08the forecast versions or the currency in real time.
34. 2:13Finally, Visibility Filters for Table
35. 2:15Widgets control what is displayed.
36. 2:17months for actuals and forecasts and quarter for the full year budget.
37. 2:22If I select the table and open the builder panel on the right,
38. 2:25you can see that we are using restricted measures for the columns.
39. 2:29Let's edit the first two restricted measures. The
40. 2:32actuals measure uses the currency input control as
41. 2:35a dynamic measure, which is our first innovation.
42. 2:38For this time range, it is set to dynamic using
43. 2:41the current date input control as the anchor.
44. 2:45The second innovation include range-up to period,
45. 2:48then automatically determines the cut-off date.
46. 2:51The same logic applies to the rest-of-the-year forecast measure.
47. 2:55It also uses the currency input control as a
48. 2:58dynamic measure, and along with the forecast version
49. 3:00input control to dynamically select the version.
50. 3:04For the time range, it is again dynamic, based on the
51. 3:07current date, and it uses the rest of current period and start
52. 3:10from next period options to define the forecast horizon.
53. 3:15In this case, from the month after the
54. 3:17cutoff date to the end of the period.
55. 3:20Finally, the third innovation, visibility filters for table widgets,
56. 3:25must be enabled on the measure
57. 3:26structure to allow an asymmetric layout.
58. 3:28It is then confined for each restricted measure.
59. 3:32For example, the actual measure uses visibility filters
60. 3:35on the time dimension to display only monthly
61. 3:38members. The same applies for the rest of year forecast.
62. 3:41However, for the full year budget measure, which
63. 3:44displays yearly and quarterly data, the visibility
64. 3:47filter is set to year and calendar quarter levels.
65. 3:50For full year actuals plus forecast, which displays only the totals
66. 3:54for the period, we only select totals in the visibility filter.
67. 3:58When used together, these innovations enable true asymmetric reporting
68. 4:02and allow you to build a fully dynamic rolling forecast table.
69. 4:07Next up we are now adding versioning support for
70. 4:10composite artefacts. This will allow composite designers
71. 4:13to manage up to 10 versions of each composite.
72. 4:17Here we see the composite in design time
73. 4:19and I've defined this composite as a tile.
74. 4:21I open version management and I save a version.
75. 4:25I call it original version and I save it.
76. 4:28Now in version history it appears as original version.
77. 4:32Now I'm going to modify the composite. For example,
78. 4:35I would like to change the time period on the
79. 4:37chart from Q1 2024 to Q2 2025, and I click on Set.
80. 4:43Again, I save it as a new version, and it is now
81. 4:46the current version or active version, and this
82. 4:48will be the one that will be used in the story.
83. 4:51I go back to my story that is using
84. 4:53the composite, and I select Refresh.
85. 4:56The reloaded story now reflects the active composite version I
86. 5:00just modified with the new timeframe from Q1 2024 to Q2 2025.
87. 5:06I can also restore the original version, first I open the composite,
88. 5:10I select the original version and I can click on restore.
89. 5:14So the original version is restored and we go back to our story and
90. 5:18refresh, we can see the original version is now active. In this release,
91. 5:23we add data export API and delta calculation jobs into the Job Monitor.
92. 5:27Data extraction jobs displayed in Job Monitor allow
93. 5:31you to monitor the current status of your initial full
94. 5:33load and data subscription jobs. Let's take a look.
95. 5:37I open up the Job Monitor within the system folder of the
96. 5:40navigation menu and I can see the data extraction jobs.
97. 5:44I disable the filter to see the running jobs in the API
98. 5:47tab. In this example, we have no currently running jobs.
99. 5:50We switch to our API client and we run a data extraction job.
100. 5:54Here we export the fact table of a model,
101. 5:57where we filter on the forecast version.
102. 6:00Note that we extract 10 ,000 records per page size.
103. 6:03We can refresh the job and see that the job is pending,
104. 6:07and we can open up and further see details about this
105. 6:10job, including the same extraction jobs that were
106. 6:12configured in the API client and the number of records.
107. 6:16If we switch back to the job, we can run an OData next link
108. 6:20to generate the rest of the records to be extracted. Now we
109. 6:23can see a second page containing the remainder of the records.
110. 6:27Next, let's generate some data extraction jobs for
111. 6:30additional artifacts, including a public dimension,
112. 6:34a currency rate table and a standard unit table.
113. 6:39When we refresh job monitor, we see
114. 6:41these jobs have completed successfully.
115. 6:44We can select these jobs for further information such as
116. 6:47duration and number of records that have been extracted.
117. 6:51A new source column in Job Monitor allows navigation
118. 6:55back to the source object. Note that the retention
119. 6:58period of data extraction jobs is seven days.
120. 7:02Next let's take a look at the introduction
121. 7:04of delta calculation jobs in Job Monitor.
122. 7:06Again we open up Job Monitor within the system folder of the navigation
123. 7:10menu and we select the delta calculations option in the data
124. 7:14export api tab we create a subscription in a model to collect delta
125. 7:18changes when we run this job for the first time it creates an initial
126. 7:23load containing all the fact data contents hybris an example of
127. 7:27the extraction now let's go to the model and make some changes to the
128. 7:32fact data and publish this to persist the changes this action
129. 7:37activates a delta calculation job which runs to calculate the difference
130. 7:40between the old and the new fact table values we can now see the
131. 7:44job in job monitor and see that this job has actually already completed
132. 7:48successfully we can select the job to obtain further information
133. 7:52in this quarter we are excited to introduce the decoupled data panel
134. 7:56which can be accessed independently of the builder panel and styling
135. 8:00panel now users will have a simplified right hand toolbar for
136. 8:04quick access to the data panel, builder panel and the styling panel.
137. 8:08From the stories tab I create a story and immediately I see
138. 8:12data panel available on the right hand side of my new story. It
139. 8:16provides a guided experience to the user on how to add data to
140. 8:19the story using a model, a data set, a data source or a file.
141. 8:23In this example I choose model.
142. 8:26So from my favorites I select a model and once added you can
143. 8:30see that the objects of the model such as measures, structures,
144. 8:33calculations and and if available, Location Dimensions.
145. 8:37From the Data Panel, users can easily navigate to the Modeler
146. 8:41or Data Analyzer, which is then opened in a new tab. Previously,
147. 8:45the user had to save the story first before navigating.
148. 8:48We have also introduced the option to switch between Description,
149. 8:51ID, and ID and Description directly from the Data Panel
150. 8:55itself. And we also allow the option to resize the Data Panel.
151. 9:00The data panel also easily allows addition
152. 9:03of additional models into the story.
153. 9:06Here I'm going to add a new model.
154. 9:08Again, it's from my favourites, and once added, I immediately
155. 9:11see my new model and the related objects in the data panel.
156. 9:15Now let's see the data panel in action in a story.
157. 9:19Here I have a bar chart, and I want to add a measure and a dimension.
158. 9:23First, I choose the measure headcount, and when
159. 9:25I drag the measure to the chart widget, the
160. 9:27measure zone is activated and highlighted in blue.
161. 9:31Next I drag the dimension career level and can see that only the
162. 9:34appropriate zones are highlighted in blue. So in this case I can either add
163. 9:38my dimension to colour or dimensions. In this case I choose dimensions.
164. 9:43Also if I want to change the underlying data model all I have
165. 9:46to do is select the data model, select the object which I
166. 9:49want to add, gross margin account and I load it into my chart.
167. 9:54As soon as the new object has been added from a different
168. 9:57model, we will be given a warning message saying that the
169. 10:00data source is being reset and we can accept and proceed.
170. 10:04These are just some of the great advantages the new decoupled data panel
171. 10:07brings this quarter. Tune in to our full feature video to see more.
172. 10:12Last but by no means least, with this release users now can access
173. 10:16recent and favorites directly within file open and save dialogues.
174. 10:21These tabs allow quick access to recently used or
175. 10:24start stories, models and folders, removing the
176. 10:27need to navigate the file repository hierarchy.
177. 10:33Here in our story we want to select a data set or a model.
178. 10:36Very simple but very effective, we now have favorites and recents
179. 10:40available to be selected from the view tab in our pop-up window.
180. 10:45Thank you for joining us to learn about some of the top features
181. 10:48coming in the Q2 2026 release cycle of SAP Analytics Cloud.
182. 10:53Check out the video description for more links to resources
183. 10:56about this quarter's update and also remember to leave
184. 10:59a like on this video and subscribe to our YouTube channel
185. 11:02to stay up to date with all things SAP Analytics Cloud.
186. 11:05Thanks again and I'll see you next time.