Post on 30-Dec-2020
transcript
SAP Analytics Cloud Do You Have Too Much Data and No Easy Way
to Make Sense Out of It?
Mordechai (Moty) Moshin, B1 Solution Expert
Quintus Smith, NA Partner Solution Center, ByDesign Solution Expert
June 2019
Internal | SAP Employees and Partners OnlySMB Innovation Summit 2019
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Use Analytics to deliver Contextual Insight throughout the Enterprise
EmbeddedOne Analytics Experience IN ALL SAP PRODUCTS
Strategic360° view of the businessSmart / Automated WorkflowsFOR ALL DATA
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SAP Analytics Cloud architecture
Cloud data sources
and applications
SAP Digital Boardroom SAP Analytics Hub Mobile Experience
On-premise data sources
and applications
Core
capabilities
Analytic
capabilities
SAP App CenterApplications
Data
connectivityWrangling Modeling
Administration
AuditingVisualizations Collaboration Mobile
PaaS
SAP Data Center
APIs
SAP Cloud Platform
Amazon Web Services
BI
Discovery
Charts and tables
Geospatial
Planning
Events and workflows
Allocation
Value driver tree simulation
Predictive
Smart Assist
Build & deploy predictive
models
Application Design
Scripting
Composites
UI theme & stylesheet
Embedding
Analytics into
applications
SAP Analytics Cloud Highlights
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…your data visually and personalized to identify unseen correlations
- Discover more
- Create dynamic visual stories
- Based on your key business areas
Get more information
Exploring the SAP Analytics Cloud Sample Story
DESIGN, VISUALIZE, AND CREATE…
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Forecast future performance
Predictive forecasting automatically detects risks
- Focus on deciding
- Choose the best course of action
Get more information
Create predictive forecasts for planning data: SAP Analytics Cloud
Add predictive forecasts to charts: SAP Analytics Cloud
ANTICIPATE PROBLEMS BEFORE THEY ARISE
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Collaboration and discussions
Conversational artificial intelligence and natural language technology
- Share stories
- Collaborate with other users
- Assign tasks
- Use internal calendar
Get more information
Collaborate using discussions: SAP Analytics Cloud
Sharing and Collaboration in SAP Analytics Cloud
FIND ANSWERS EASILY, JUST ASK
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Prepare efficiently
Machine Learning helps to simulate the impact of strategic changes on business outcomes
- Clean your data by alerting you of possible errors
- Categorize measures and dimensions
- Enhance your data with modeling tools
for geo analysis and multi-level hierarchies
- Gain deeper insights
Get more information
SAP Analytics Cloud: Models 101
Data Preparation in SAP Analytics Cloud
Enhancing Your Data Model with SAP Analytics Cloud
DO MORE WITH LESS
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Next level business intelligence
Gain valuable insights in less time
- Using SAP Analytics Cloud’s business
intelligence and augmented analytics capabilities
- Reduce uncertainty
- Confidently drive insight beyond human bias
- In one simple cloud solution
Get more information
SAP Analytics Cloud Feature Highlight: Search to Insight
SAP Analytics Cloud Feature Highlight: Smart Insights
SAP Analytics Cloud Feature Highlight: Smart Features
EVALUATE AND PREDICT BUSINESS OUTCOMES
SAP Analytics Cloud Smart Features
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Demo Search to Insight
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Demo Smart Discovery
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Demo Smart Assist
Data Connectivity
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Connect your data to SAP Analytics Cloud
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Live data connectivity to on-premise dataDeployment option: access data behind corporate firewall
Access on-premise data via Cross-Origin Resource
Sharing (CORS)
▪ Best suited for connection to on-premisedata
behind the corporate firewall
▪ No additional hardware requirements to deploy and
maintain if public internet access is notrequired
Encryption
▪ Communication between browser and SAP
Analytics Cloud is automatically encrypted
▪ Data persisted (only metadata) isencrypted
Authentication
▪ Basic authentication credentials, orconfigured
single sign-on is supported
▪ Data security implemented at the source data is
respected
https://www.sapanalytics.cloud/guided_playlists/sap-hana/
https://wiki.scn.sap.com/wiki/display/BOC/SAP+Analytics+Cloud+Connecti
vity+Guidelines
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Live data connectivity to on-premise dataDeployment option: access data from public internet
Access on-premise data via public internet
▪ Best suited for analytic scenarios based upon mobile
▪ Connection to on-premise data required where VPN into
corporate network is not available
▪ Recommend adding a reverse proxy within the DMZ, in
addition to CORS configuration. Sole purpose is to publish
the on-premise system to the internet
Encryption
▪ Communication between browser and SAP Analytics
Cloud is automatically encrypted
▪ Data persisted (only metadata) is encrypted
Authentication
▪ Basic authentication credentials, or configured single sign-
on is supported
▪ Data security implemented at the source data is respectedhttps://www.sapanalytics.cloud/guided_playlists/sap-hana/
28
https://wiki.scn.sap.com/wiki/display/BOC/SAP+Analytics+Cloud+Connecti
vity+Guidelines
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Data Import into SAP Analytics CloudDeployment option: access data behind corporate firewall
Access on-premise data replicated via Cloud
connector
▪ Best suited for connection to on-premise data
behind the corporate firewall to leverage full SAC
capabilities
Encryption
▪ Communication between browser and SAP
Analytics Cloud is automatically encrypted
▪ Cloud connector creates an dedicated outbound
SSL tunnel between on-premise and SAC
▪ Data persisted (including metadata) isencrypted
Authentication
▪ Basic authentication credentials, orconfigured
single sign-on is supported
▪ Data access controls can be implemented in the
model
https://www.sapanalytics.cloud/resources-deployment-kit/
https://wiki.scn.sap.com/wiki/display/BOC/SAP+Analytics+Cloud+Connecti
vity+Guidelines
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Differences between Data Import | Live Data Connection
Data Import (Acquired) Live Data Connection
• Data is stored in the cloud.
• On-premise data sources require Cloud
Connector & (most) the CloudAgent.
• Limit: 800k rows & 100 columns.
• It is possible to schedule updates with a monthly,
weekly, daily and hourly cadence.
• The possibility of giving the final touches to the
data.
• Required for Planning features.
• Smart features are supported.
• Data never leaves the firewall.
• Data is shown almost in real time.
• Can be done through the use of a reverse proxy
or directly.
• No limits in terms of amount of data.
• Current Limitations in terms of features:
• Smart Insights are not supported.
• Smart Discovery is not supported.
• Time Series forecasting in line charts is not
supported.
• More can be found on the following link.
More info on connectivity can be found on the following link and in the following Webinar
SAP Analytics Cloud with Business One
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SAP Business One Content
Sales PerformanceShows the KPIs for Sales Revenue and Gross Profit Margin. Trends shown for Profitability measures. Breakdown of net revenue is also available by Item and Customer groups.
Data ConnectivityBased on Live Data connectivity to SAP Business One on SAP HANA using CORS
SAP Analytics Cloud with Business ByDesign
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For more information, please see:
▪ SAP Analytics Cloud BI – Welcome
▪ Public Homepage of SAP Analytics Cloud
▪ SAP Analytics Cloud BI – Help
▪ SAP Analytics Cloud BI – Learning
▪ Technical Prerequisites and System Requirements
▪ SAP Analytics Cloud – YouTube Channel
▪ SAP Analytics Cloud Help – Video Tutorials
▪ SAP Analytics Cloud and SAP Digital Boardroom Road Map
▪ Product Updates (Latest Release Notes and Product Plan)
Thank you.
Contact information:
Mordechai (Moty) Moshin
Business One Solution Expert
Moty.Moshin@sap.com
Quintus Smith
Partner Solution Center – Solution Expert
Quintus.smith@Sap.com
Gamification Challenge Code
PSQD4E
By entering this SAP Breakout Session
code you will be granted 10 points
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