SAP Analytics Cloud Process Flows

Transcription

1 Process Flows Matthew Shaw, SAP February, 1

2 Process Flows Live Consumption Create New Live Connection with PATH (via ) Create new live universe connection with path mybip and click save 1 2 Catalog lication Container 6 7 Processing Validate logon Validate server Connection saved Successful response, connection saved 1 1 SAP SE or an SAP affiliate company. All rights reserved. ǀ 2

3 Process Flows Live Consumption Create New Model off Live Connection with PATH (via ) Create new model. 1 Select Use Data Source Select Live Data Connection. Select system with live universe connection (that has path mybip). Set Credentials (user/pass) and press OK Select. Enter model name and description. 1 Modelling screen Optionally edit dimensions and other properties. Save model Model saved sucessfully Catalog Metadata lication Container lication Container 2 6 Logon token 1 7 Model saved Processing Acknowledge and download model creation Processing 1 DSL Bridge 21 2 Processing ) meta data created. tested to ensure suitability Validate logon and get list of s Validate server Validate server 1 SAP SE or an SAP affiliate company. All rights reserved. ǀ

4 Process Flows Live Consumption Create New Visualisation off Live Connection with PATH (via ) 1 SAP SE or an SAP affiliate company. All rights reserved. ǀ Select Create story 1 and Add a page Select Add a chart Select Model (based off Live Connection). 6 Set Credentials (user/pass). Measures/ Dimensions listed. Add measure to chart 2 with measure value Add dimension to chart with measure by dimension Save story Successfully saved Metadata Ad-hoc Query 1 6 lication Container 7 lication Container 1 21 Processing Validate logon Validate server Map query to universe metadata. Result is a new Data Provider in.wid 26 DSL Bridge 27 2 Processing ) Processing 2 (creates new.wid in BOE Live Provider Temp Folder personal folder) DSL Bridge Processing ) Processing (reuses existing.wid in BOE Live Provider Temp Folder personal folder) Map query to universe metadata. Result is a new Data Provider in.wid 6

5 Process Flows Live Consumption Add sort/ranking to existing Visualisation based off Live Connection with PATH (via ) Open existing Story 1 2 Set Credentials (user/pass). Existing visualisations shown with data Metadata lication Container 1 DSL Bridge 17 1 Processing ) 2 21 Processing 2 Validate logon 1 2 Add sort or ranking to existing measure in existing chart 2 with sort or rank applied 1 SAP SE or an SAP affiliate company. All rights reserved. ǀ 0 0 Ad-hoc Query 1 REST API lication Container 2 DSL Bridge Processing ) Processing 7 Apply sort or ranking to existing data set Map query to universe metadata. Re-uses existing Data Provider in.wid 6

6 Process Flows Live Consumption Add dimension filter to existing Visualisation based off Live Connection with PATH (via ) Open existing Story 1 2 Set Credentials (user/pass). Existing visualisations shown with data Logon token + results Metadata lication Container 1 DSL Bridge 17 1 Processing ) 2 21 Processing 2 Validate logon 1 2 Select dimension to filter List of values shown Ad-hoc Query 1 lication Container 2 DSL Bridge Processing ) Processing 7 DSL Bridge Select value in the list 1 2 Processing ) Processing with filter applied Map query to universe metadata. Create new Data Provider in existing.wid 6 to get list of values for the dimension selected to filter on Map query to universe metadata. Create new Data Provider in existing.wid for main visualisation query with WHERE clause to filter on 1 SAP SE or an SAP affiliate company. All rights reserved. ǀ 6

7 Thank you. Matthew Shaw Analytics Product Management, SAP