SlideShare a Scribd company logo
1 of 43
Download to read offline
PUBLIC
Analytics & Insights
Innovative Analytics with SAP Analytics Cloud
Iver van de Zand
Global Head Analytics & Leonardo PreSales
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company.
The information contained herein may be changed without prior notice. Some software products marketed by SAP SE and its distributors contain proprietary software components
of other software vendors. National product specifications may vary.
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP or its affiliated
companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP or SAP affiliate company products and services are those that are
set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty.
In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release
any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliated companies’ strategy and possible future developments, products,
and/or platforms, directions, and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The
information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks
and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, and
they should not be relied upon in making purchasing decisions.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company)
in Germany and other countries. All other product and service names mentioned are the trademarks of their respective companies.
See www.sap.com/corporate-en/legal/copyright/index.epx for additional trademark information and notices.
© 2018 SAP SE or an SAP affiliate company. All rights reserved.
So, how about SAP’s Strategy to
win your end users
4Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Product Description
This is the current state of planning and may be changed by SAP at any time.
SAP’s Strategy: Deliver the Intelligent Enterprise
Out-of-the-box integration leveraging SAP
Cloud Platform, the SAP Analytics Cloud
solution, and a common data foundation with
SAP HANA and SAP Data Hub
Best-in-class UX with
consistent experience
across the entire portfolio
Easy to extend, allowing
customers and partners to
customize solutions quickly
Intelligence embedded
in the applications making
the workflows smarter
Modular, making
it easy to consume and
cost-effective to operate.
5Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
The Intelligent Enterprise Framework
AI/ML | IoT | Analytics
Customer
Experience
Manufacturing
& Supply Chain
Digital Core People
Engagement
Network & Spend
Management
Intelligent Technologies
Digital
Platform
Data
Management
Cloud
Platform
Intelligent Suite
1
2
3
Intelligent Suite
Intelligent Technologies
Digital Platform
The Intelligent Enterprise
features 3 key components:
Workforce
SAP Fieldglass, SAP SuccessFactors
Finance
SAP S/4HANA, SAP Concur, SAP ByDesign
Supply Chain
SAP Ariba, SAP Fieldglass
Customer
SAP Hybris Cloud for Customer, SAP Hybris Marketing Cloud
Other Cloud Platforms
SAP S/4HANA Cloud, Google, AWS, Social
Other Sources
SAP BW/4HANA, Hadoop, Spark, Oracle, and more
Industry
Chemicals, CPG, Engineering & Construction, Financial Services, Healthcare, Mill Products, Mining, Oil & Gas, Professional Services and many more..
Cloud applications need embedded cloud analytics
7Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Product Description
This is the current state of planning and may be changed by SAP at any time.
Embedded Intelligence
Pre-Built Content
Integrated Workflow
Live Decisions
360 Analytics
Industry and LoB Best Practices
Advanced Analytics
Analytic Apps
Out-ot-the box integration
The Intelligent Enterprise
SAP Analytics Cloud for the Intelligent Enterprise
Act in
the Moment
• No.1 Analytics Cloud Platform on the market for LoB and Industry Content and analytical
applications
• Power embedded intelligence in every decision and process, enabled by SAP and 3rd party
Application
SAP Analytics Cloud
Self-service analytics rethought from
scratch using the latest technologies.
Product Description
This is the current state of planning and may be changed by SAP at any time.
One | Simple | Cloud
PredictiveBusiness Intelligence Planning
Sharing
Simulation
Data Preparation
Storytelling
Forecasting
Automated Insights
SAP Analytics Cloud
Unified experience for Planning, BI and Predictive all in one service
Live data connectivity enables SaaS for everyone
End-to-end analytics for the Intelligent Enterprise
Digital Boardroom
On Premise CloudHybrid
Application Design
Custom Apps
SDK Extensions
Mobile SAP Analytics Hub
Product Description
This is the current state of planning and may be changed by SAP at any time.
SAP Analytics Cloud architecture
Cloud data sources
and applications
Planning
Events and workflows
Allocation
Value driver tree simulation
BI
Discovery
Charts and tables
Geospatial
Predictive
Smart Assist
Build & deploy predictive
models
Embedding
Analytics into
applications
SAP Digital Boardroom SAP Analytics Hub Mobile Experience
On-premise data sources
and applications
Core
capabilities
Analytic
capabilities
SAP App CenterApplications
Data
connectivity
SAP Cloud Platform
Wrangling Modeling
Administration
Auditing
Visualizations Collaboration Mobile
PaaS
SAP Data Center
APIs
Amazon Web Services
Application Design
Scripting
Composites
UI theme & stylesheet
Go look at
https://www.sapanalytics.cloud/
Things get Smart
SAP Analytics Cloud leverages Machine Learning with Smart Assist
Smart Assist includes:
• Smart Discovery – uncover key influencers
• Smart Insights
• Smart Grouping
• Smart Transformation
Let’s have a look at some Smart Features
Conversational analytics — search to insight
Things get flexible
introduction of App Design
This is the current state of planning and may be changed by SAP at any time.
Application Design Definition
What is an application?
▪ Applications range from simple dashboards to complex applications
▪ Applications expose custom logic based on scripting
▪ Applications are created by a few experts to be consumed by many
What is application design?
▪ Rich set of capabilities for professional designers of analysis applications to meet sophisticated business requirements
▪ Dedicated development environment with advanced scripting capabilities
▪ Drive standardization of analytics content, create reusable UI elements and application logic (such as headers, footers, toolbars)
▪ Extending Applications via SDKs and APIs
Story & Application
Levels of Abstraction
STORY APPLICATION manually wired
with scripting
dumb widget
“works with
Strings”
smart widgets
“talk dimensions,
members, etc.”
*** smart by nature *** *** smart by nature & App Designer ***
This is the current state of planning and may be changed by SAP at any time.
Application Design
Professional design of centrally governable analytic content ranging from dashboards via guided analytics to
sophisticated planning applications
Overview
▪ Intuitive design environment in browser
▪ Large set of design widgets
▪ Function-rich scripting editor
▪ Theming and customization
▪ SDK extensions
▪ Application and story share data connectivity and UI artifacts
▪ Widgets with charts or tables can be re-used in stories
This is the current state of planning and may be changed by SAP at any time.
Application Design
First delivery with wave 13 ( Released to a few selected
customers, Business Toggle APP_BUILDING needs to be
turned on)
▪ Simple widgets: icons, buttons, tabs, dropdown menus
▪ Data-driven widgets: tables, charts, filterline
▪ Interactions between different widgets via scripting including global
variables
▪ Dynamic switch between crosstab and charts
▪ Assign measures and dimensions to crosstab and chart at application
runtime
▪ Clear structure
– Layout outline with context menu to add and edit scripts
– Design area
– Properties and script editor
▪ Scripting capabilities
– Subset of JavaScript
– Content assistance available – getDimension(), setFilter(), etc
– Completeness and syntax check
– Glance several scripts at once
– Global search
– Commenting and uncommenting
Application Design
Recent Innovations
This is the current state of planning and may be changed by SAP at any time.
Outline View and Widgets
▪ Outline view
– Can be turned on/off
– Including UI widgets, global scripts and popups
– Provides the following options via context menu
– Hide/Delete/Rename widget
– Add/Delete scripts or events
– Where-used-list
▪ Application Design specific widgets
– Filterline, Dropdown box, Radio Button Group, Checkbox
Group, Button
▪ Reuse and extend story widgets
– Image, Text, Crosstab and Chart
– Extended with additional app design properties
– Naming, Visibility at view time and scripting capabilities
Application Design
Recent Innovations
This is the current state of planning and may be changed by SAP at any time.
Filtering data sources via Dropdown, Checkbox Group,
Radio Button Group and Button
▪ Via scripting capability
▪ E.g. “Table.getDatasource().setDimensionFilter “
Filtering data source via Filter Line
▪ Via build panel
▪ Source widget to identify the data source of filter line
▪ Default dimensions can be set in build panel
▪ Via copy filter script command to transfer the filter value to other
widgets
Application Design
Recent Innovations
Let’s have a quick look
Product plan overview – key themes and capabilities
Product directionPlanned Q4/2018Planned Q3/2018Recent Innovations
SAP Analytics Cloud Application Design
▪ Simple widgets: icons, buttons, tabs,
dropdown menus
▪ Data-driven widgets: tables, charts,
filterline
▪ Interactions between different widgets via
scripting including global variables
▪ Dynamic switch between crosstab and
charts
▪ Assign measures and dimensions to
crosstab and chart at application runtime
▪ Clear structure
– Layout outline with context menu to add
and edit scripts
– Design area
– Properties and script editor
▪ Scripting capabilities
– Subset of JavaScript
– Content assistance available –
getDimension(), setFilter(), etc
– Completeness and syntax check
– Glance several scripts at once
– Commenting and uncommenting
▪ Global Functions
– re-usable functions to modularize the
code for enterprise applications
▪ Dynamic Layout
– Enterprise Apps require dynamic
adjustment of screen real-estate without
re-arranging all elements (no responsive
design).
▪ Planning Support (Part I)
– Possibility to work with Planning Models
in tables on a canvas page.
▪ Predictive (Part I)
– “Smart Features” integration
▪ Translation
▪ Catch-up with Story Features, e.g.
– Blending, link dimensions etc.
▪ Enhanced Design Time UIs
▪ Enhanced Set of Widgets
▪ Container Widgets
– like tab strips, panels, grid layouts,
popups etc.
▪ Planning Support (Part II)
▪ Predictive (Part II)
– Predictive model consumption, simulation
▪ OData Calls
– OData function calls in the context of an
App Design script
▪ Embeddability
▪ Create Story from Widget
▪ Shared Data Sources
▪ Composites
▪ Bookmarks
▪ SDK Extensions
▪ Data-binding for properties
▪ Theming
▪ Mobile Support
▪ Export
▪ Templates
Connectivity
Modelling
and
More
Top Prio’s for SAP Analytics Cloud for 2019
1. Connectivity Experience
2. Modelling Experience
3. Embedded Intelligence
4. Tweak Visualization Experience
28Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Recent Innovations
Data sources
Live
SAP Cloud Platform1 SAP S/4HANA Cloud
SAP S/4HANA SAP Universe
Access via SDI for SAP Cloud Platform & SAP HANA2
Apache Hive AWS SAP Vora SAP Sybase ASE, IQ, ESP
Microsoft SQL Server Spark SQL Oracle Teradata
OData
MaxDB
IBM DB2 MySQL Netezza Facebook Google+ Twitter
Partner delivered
APOS DB2
Microsoft SQL Server
Microsoft Analysis Services
Oracle ExadataOracle Oracle Essbase
Denodo
Sybase SQL Anywhere
Teradata
Delivered Planned within the next 6 months Partners
1. Requires SAP Cloud Platform DBaaS license
2. SAP Cloud Platform connects to data using Smart Data Integration and Smart Data Access Adapters
Import
Cloud data sources
Google Drive
SAP Cloud Platform1 SAP Business ByDesignSAP Customer Cloud
SAP Fieldglass
Google BigQuery Google Sheets
SAP S/4HANA Cloud
OData
Salesforce
SAP SuccessFactors ConcurSAP Workforce Analytics
SAP Ariba
SAP data sources
SAP BPC NW & MS SAP HANA SAP ECC SAP Universe SAP BW
SAP S/4HANA
Other data sources
IBM Microsoft SQL Server MySQL Netezza OData Oracle
Progress OpenEdgeCSV Excel
Partner delivered
APOS
Web Intelligence
CDATA
QuickBooks
NetSuite CRM & ERP
Microsoft SharePoint
MongoDB
Oracle Marketing Cloud
DataDirect Cloud
eloqua
Google Analytics
Hubspot
Marketo
Microsoft Dynamics CRM
SugarCRM
SAP BW4/HANA
Microsoft Azure
Redshift
MongoDB MongoDB Atlas MySQL
SAP SuccessFactors
SAP data sources
SAP HANA SAP BW SAP BW4/HANA
Cloud data sources
Netezza
Dow Jones DNA
Google BigQuery
Sybase IQ
29Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Product Plan
This is the current state of planning and may be changed by SAP at any time.
Q4/2018 Future DirectionQ1/2019
Live connections
Integration with SAP BW
Enhanced analytic capabilities
▪ Time Series chart
▪ Search to Insight via natural language query
▪ Data blending between SAP BW live data models with
imported data models
Integration with BW concepts
▪ Prompting support: BW Dynamic Filters
▪ Enhanced date-based calculations and filtering
Integration with SAP HANA
Enhanced analytic capabilities
▪ Browser-based data blending
▪ Prompting support: Dynamic Input Parameters
Integration with SAP Universes
Enhanced analytic capabilities
▪ Calculated dimensions creation in Story
▪ Measure-based filters support
▪ Calculation Editor: Aggregation calculations
Integration with SAP BW
Enhanced analytic capabilities
▪ Additional chart types: waterfall, variance, geo map
▪ Chart to chart filtering with multiple dimensions
▪ Data blending enhancements:
▪ Between SAP BW live data models from same BW system
▪ Between SAP BW live data modes from different BW systems
▪ Between SAP BW live and SAP HANA live data models
Integration with BW concepts
▪ Respect text presentation setting from BW query in Charts
Integration with SAP HANA
Data connectivity
Live connection to SAP HANA 2.0 in SCP
Cloud Foundry (via Hana Analytics Adaptor)
Integration with SAP Universes
Live Universe Connectivity release 2.0.0
▪ Enhanced performance
Integration with SAP BPC Embedded
Data connectivity
▪ SSO support for live connections to SAP BPC Embedded
Integration with SAP BW
Standard Adhoc Analysis
▪ Launch BW queries through URL with parameters
▪ Slice & dice analysis of data from BW queries
Integration with SAP HANA
Data connectivity
▪ Simplified live connection setup to SAP HANA 2.0 in SCP
Cloud Foundry
Integration with SAP Universes
Continued investment of analytic capabilities
▪ Chart to chart filtering based on different models
▪ Threshold on measures
▪ Ranking
▪ Drill support on Universe hierarchies
▪ Search to Insight
Continued integration with Universe concepts
▪ Support for Universe Details
30Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Product Plan
This is the current state of planning and may be changed by SAP at any time.
Q4/2018 Future DirectionQ1/2019
Data import connections
Data connectivity
▪ Additional relational data source connections via
JDBC
▪ Multi-agent support within single tenant
Data preparation
▪ Combine multiple datasets into a single model
▪ Calculated columns creation
Models
▪ Rebuilding of models: ability to edit data
preparation sessions
Data connectivity
▪ Additional data source connections for Cloud
Foundry tenants:
▪ CRM Cloud sources
▪ Cloud Storage sources
▪ Connectivity to SAP Data Hub
Data preparation
▪ Support of any worldwide Geo location
▪ Support Geo enrichment of models with more than
200K locations
▪ New transformation: unpivot columns to rows
▪ Enhanced User Experience to managing
hierarchies
Models
▪ Multiple time dimension support
▪ New User Experience for Modeler
Data connectivity
▪ Live connections to SQL sources
▪ Blur the lines between Live and Data Import
connectivity
Data preparation
▪ Conformance to global dimensions
▪ Enriched transformations during data export for
planning scenarios
Data management
▪ Push data API into SAP Analytics Cloud
31Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Product Plan
This is the current state of planning and may be changed by SAP at any time.
Q4/2018 Future DirectionQ1/2019
Data visualization
▪ Waterfall improvements
▪ Display dynamic images from live HANA
▪ Batch PDF export based on story input control
▪ Model prompts available in story filter bar
▪ Convert measure into dimension and vice versa
▪ Convert numeric and string dimensions
▪ Display currency/unit and scale in numeric point
charts
▪ Dynamic text for table titles
▪ Predefined table calculations
▪ Improved currency and scale formatting
▪ Asymmetric tables for HANA 2.0
▪ Dynamic time filters based on custom dates
▪ Sharing bookmarks
▪ Additional exception aggregations in story
▪ Optimized linked analysis user experience
▪ Sharing global bookmarks
▪ Sort and rank independently
▪ Undo / Redo
▪ Email distribution
▪ Trend-based conditional formatting
▪ Story-based alerts
▪ Charting extensions SDK
▪ Multi-dimension sorting
32Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
This is the current state of planning and may be changed by SAP at any time.
Q4/2018
Planning
Data Action Extensions
▪ Cross model data copy
▪ Prompting & variable support
Advanced Formulas
▪ Hierarchy navigation
▪ Cross/multi-model referencing
▪ Select source version
▪ Clear data
▪ Currency calculations
▪ Support for calculated members
Allocations
▪ Keep source and overwrite target
Application Design
▪ Initial support for Planning models
Data Entry
▪ Spreading/copy on local currency
▪ Local currency commenting
▪ Private version commenting
▪ Enhanced rolling forecast layout
▪ Custom sort order for elements
▪ Improved version handling
Calendar | Input Task
▪ Calendar event recurrence
▪ Hierarchical approvals
▪ Input Task delegation
▪ Set due date options for events
▪ Calendar home screen tile
BPC Integration
▪ Live write-back for BPC Embedded
33Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
This is the current state of planning and may be changed by SAP at any time.
Q4/2018
Analytical Reports Planning Input Forms
BOC/DBR dashboards Cost center
KPI and financial
statement reports
Profit center
Trend reports Balance sheet
Variance reports (Actual
vs. Plan, YOY)
Currency Rate
Reconciliation Compensation Planning3
Financial Planning and Analysis for S/4HANA
Best in class Business Intelligence, Planning, and Predictive for S/4HANA1
S/4HANA
SAPAnalyticsCloud
1. Planning support for S/4HANA Cloud as of release 1802, and S/4HANA On-premise as of 1809. Pre-delivered content is not fully supported with S/4HANA On-premise with release 1809
2. Workforce Planning for S/4HANA Cloud is currently targeted for 1811
Cash Flow
SuccessFactors
Master Data Transaction Data
G/L Account
Company Code
Cost Center
Profit Center
Functional Area
Trading Partner
WBS Element
Actual G/L activity by period
from S/4HANA Cloud and
other sources
Plan/Forecast data from
SAP Analytics Cloud
Job ID, Job Classification, Company,
Cost Center, Location, FTE, Salary
Live Analytics
Profit & Loss
Balance Sheet
Cash Flow
Profit & Loss
Balance Sheet
Employee
Central
Workforce
Plannng2
Financial Planning
This is the current state of planning and may be changed by SAP at any time.
Future Direction
Collaborative Enterprise Planning
Business Planning for Manufacturing and Distribution
Planning
&
Analysis
Analytics
Cloud
Integrated
Business
Planning
FINANCE
OPERATIONS
35Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Recent Innovations
SAP Analytics Cloud Smart Predict
A self-service solution in the cloud supporting data ingestion, predictive model authoring
and model management in SAP Analytics Cloud
▪ Predictive made simple for business analysts
▪ Business problem focus captures user intention
– Classification, regression and segmented time series use cases
supported
▪ Support for SAP Analytics Cloud import data sources
– csv
– S/4 HANA
▪ Transparent, understandable and trustworthy results
▪ Consume predictive results in Stories
36Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
This is the current state of planning and may be changed by SAP at any time.
Q4/2018
Data connectivity / Wrangling / Modeling
Stories
Boardroom
Presentations
Roambi Templates
Cloud data sources
and applications
On-premise data sources and
applications
Mobile App Suite
Content Type
Data connectivity
Roambi experience brought to SAP Analytics Cloud
37Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
This is the current state of planning and may be changed by SAP at any time.
Q4/2018
Developer
Story Catalog REST API enhancements: filtering, sorting, pagination
▪ Return stories that contain a specific model
▪ Set the sort order for the items returned from API actions
▪ Return a list of items based on a range of index values
▪ support Application Design metadata
Open Story URL API
▪ support embedding Application Design content
▪ support non-default hierarchy filtering
User and team management REST APIs
▪ Returns user and group information
▪ Updates, returns user and group attribute information
▪ Deletes, creates, and gets a list of users and user groups
Tenant provisioning and configuration APIs (for OEMs)
▪ API for an OEM to create, delete, update and list tenants, and read tenant metadata
▪ API to configure a tenant: add live connection, add OAuth Clients, add SAML IdP
Content deployment management via APIs (for OEM’s)
▪ API to copy standard content to all the tenants of an OEM
Analytics Hub API
▪ Publish Analytics Hub APIs to api.sap.com
https://<public_url>/sap/fpa/ui/tenants/<tenant_description>/bo/story/<story_id>
• <public_url> is the public AC URL for the tenant
• <tenant_description> is the tenant name in lower case.
• <story_id> is the unique story identifier in AC (no id provided indicates new story creation)
UI URL Parameters
• mode=edit, present, embed
• in present mode, you can see the pagebar, but the mainbar is removed and the toolbar is hidden. The toolbar will
show if you hover the mouse over the top of the pagebar.
• in embed mode, you can see the pagebar with a filter button, but the mainbar and toolbar are removed.
• pageBar=show, disable
• only works for embed mode
• page=1,2,3,… or page_uuid
Example
https://dev-i817904-1.eu1.projectorca.cloud/sap/fpa/ui/tenants/005/bo/story/56F0EA003E71722BE10000000A4E740E?mode=embed&pageBar=disable&page=2
Embedding URL API - to directly open a story via the URL
Get Stories REST call
/[PublicApiService path on server]/api/stories
Adding “?include=models” will also return models used in the story as a JSON array
Example JSON response:
{
"id": "0000000AA513C9583E39BB216A0569E1",
"name": "Dashboard",
"description": "",
"created": "2017-03-09T21:26:06.919Z",
"createdBy": "ADMIN",
"changed": "2017-03-09T21:26:06.919Z",
"changedBy": "ADMIN",
"template": true,
"sample": false
}
PATCH api/v1/stories/STORY_ID
• Renames the story specified by <STORY_ID>.
• Parameters:
• <STORY_ID>: The ID of the story to rename
For example, api/v1/stories/<STORY_ID>, where <STORY_ID> is the ID of the story you want to rename.
• name: The new name for the story.
DELETE api/v1/stories/STORY_ID
• Deletes the story specified by <STORY_ID>.
• Parameters:
• <STORY_ID>: The ID of the story to delete.
For example, api/v1/stories/<STORY_ID>, where <STORY_ID> is the ID of the story you want to delete.
Embedded Content
more than a sample
Industries:
▪ Banking (enhanced)
▪ Insurance IFRS
▪ Real Estate
▪ Rural Sourcing Management
Lines of Business:
▪ Advanced Compliance Reporting (ACR)
▪ Financial Consolidation for S/4HANA Cloud (enhanced)
▪ Financial Planning & Analysis for S/4HANA Cloud (enhanced)
▪ Hybris Marketing (enhanced)
▪ Manufacturing for S/4HANA Cloud (enhanced)
▪ Product Cost Planning
▪ Project Budgeting & Planning for S/4HANA Cloud
▪ Sales Performance and Target Planning (CRM) (enhanced)
▪ Trade Management
Lab Preview
Content for SAP Digital Boardroom & Analytics Cloud
Content Innovation 8 – Q2.2018
SAP Analytics Cloud and Digital Boardroom
Industry and Line of Business Content
Industry
▪ Banking
▪ Chemicals
▪ Consumer Products
▪ Engineering, Construction &
Operations
▪ Health Care
▪ Insurance
▪ Mill Products
▪ Mining
▪ Oil & Gas
▪ Professional Services S/4HC (BPE)
▪ Public Sector
▪ Public Services: Higher Education and
Research
▪ Real Estate
▪ Retail (BPE)
▪ Rural Sourcing Management
▪ Utilities
Line of Business
▪ Advanced Compliance Reporting (ACR)
▪ Business ByDesign (Finance and Procurement)
▪ Environment, Health and Safety
▪ Finance
▪ Financial Consolidation S/4HC (BPE)
▪ Financial Planning & Analysis S/4HC (BPE)
▪ FI Operational Expense Planning
▪ Human Resources (SuccessFactors)
▪ Human Resources Salary Planning
▪ Hybris Marketing
▪ Manufacturing S/4HC (BPE)
▪ Procurement
▪ Procurement S/4HC (BPE)
▪ Product Cost Planning
▪ Project and Portfolio Management
▪ Project Budgeting & Planning S/4HC (BPE)
▪ Project Staff Planning
▪ Sales and Distribution
▪ Sales Performance and Target Planning (CRM)
▪ Solution Manager: Test Suite Analysis /
IT Service Management Analytics
▪ Trade Management
▪ Travel & Expense (Concur)
▪ Vendor Management System (Fieldglass)
(BPE) Best Practice Solution Package S/4HC: SAP S/4HANA Cloud
Lab Preview
The following packages include Planning
▪ Finance
▪ Financial Planning & Analysis S/4HC (BPE)
▪ FI Operational Expense Planning
▪ Human Resources Salary Planning
▪ Product Cost Planning
▪ Project Budgeting & Planning S/4HC (BPE)
▪ Project Staff Planning
▪ Sales Performance and Target Planning (CRM)
▪ Travel & Expense (Budget Planning)
Partner Content for SAP Digital Boardroom and Analytics Cloud
Abaco Consultores
Logistics and supply
chain
B4 Consulting
Construction
Cognizant
Equipment Effectiveness
Comerit
Analytics for SAP Lease
Administration by
NAKISA
Delaware
Costs to Serve
Infomotion
Corporate Data
Collection, simplified with
SAP Analytics Cloud
Visual Crossing
Location Analysis for
SAP Analytics Cloud
Infosys
Utilities 360 - Energy
Supply
PwC
Predictive Analytics
Please find details in the SAP App Center
Partner Content for SAP Digital Boardroom and Analytics Cloud – Wave 2
Please find details in the SAP App Center
Aqoia
Digital Edge Solution (Automotive )
A41S Avantum
Finance & Controlling
Bramasol
Revenue Recognition
Ernst & Young
Financial Statement
Visual BI
Upstream Oil & Gas
VASPP
Access Control
VASPP
Process Control
WIPRO
Energy Usage
ISC PLUS-IT
easyBI on Cloud (Finance )
Mibcon
Data Privacy and Protection
Renew HR
SHARP HR Analytics
Thank You
Iver van de Zand
Iver.van.de.zand@sap.com
http://www.ivervandezand.com
Twitter: @Ivervandezand

More Related Content

What's hot

L'avenir de SAP BusinessObjects Web Intelligence ​ - ​BI4.2 SP06 et dernières...
L'avenir de SAP BusinessObjects Web Intelligence ​ - ​BI4.2 SP06 et dernières...L'avenir de SAP BusinessObjects Web Intelligence ​ - ​BI4.2 SP06 et dernières...
L'avenir de SAP BusinessObjects Web Intelligence ​ - ​BI4.2 SP06 et dernières...Wiiisdom
 
Sap bw4 hana architecture archetypes
Sap bw4 hana architecture archetypesSap bw4 hana architecture archetypes
Sap bw4 hana architecture archetypesLuc Vanrobays
 
SQL Data Warehousing in SAP HANA (Sefan Linders)
SQL Data Warehousing in SAP HANA (Sefan Linders)SQL Data Warehousing in SAP HANA (Sefan Linders)
SQL Data Warehousing in SAP HANA (Sefan Linders)Twan van den Broek
 
BI4.2 SP06 and Beyond: The Future of SAP BusinessObjects Webi
BI4.2 SP06 and Beyond: The Future of SAP BusinessObjects WebiBI4.2 SP06 and Beyond: The Future of SAP BusinessObjects Webi
BI4.2 SP06 and Beyond: The Future of SAP BusinessObjects WebiWiiisdom
 
#askSAP Analytics Innovations Community Call: Become an Intelligent Enterpris...
#askSAP Analytics Innovations Community Call: Become an Intelligent Enterpris...#askSAP Analytics Innovations Community Call: Become an Intelligent Enterpris...
#askSAP Analytics Innovations Community Call: Become an Intelligent Enterpris...SAP Analytics
 
What’s new in SAP Cloud Platform Workflow – summer edition 2019
What’s new in SAP Cloud Platform Workflow – summer edition 2019What’s new in SAP Cloud Platform Workflow – summer edition 2019
What’s new in SAP Cloud Platform Workflow – summer edition 2019SAP Cloud Platform
 
0308 crystal reports in the business objects intelligence 41 ecosystem
0308 crystal reports in the business objects intelligence 41 ecosystem0308 crystal reports in the business objects intelligence 41 ecosystem
0308 crystal reports in the business objects intelligence 41 ecosystemHector Talamantes
 
#AskSAP Analytics Innovations Community Call: SAP Analytics Fall 2018 Innovat...
#AskSAP Analytics Innovations Community Call: SAP Analytics Fall 2018 Innovat...#AskSAP Analytics Innovations Community Call: SAP Analytics Fall 2018 Innovat...
#AskSAP Analytics Innovations Community Call: SAP Analytics Fall 2018 Innovat...SAP Analytics
 
Dmm300 – mixed scenarios for sap hana data warehousing and BW: overview and e...
Dmm300 – mixed scenarios for sap hana data warehousing and BW: overview and e...Dmm300 – mixed scenarios for sap hana data warehousing and BW: overview and e...
Dmm300 – mixed scenarios for sap hana data warehousing and BW: overview and e...Luc Vanrobays
 
Overview on What’s New in SAP Cloud Platform Business Rules
Overview on What’s New in SAP Cloud Platform Business RulesOverview on What’s New in SAP Cloud Platform Business Rules
Overview on What’s New in SAP Cloud Platform Business RulesSAP Cloud Platform
 
#askSAP Analytics Innovations Community Call: Delivering Big Data Inisghts wi...
#askSAP Analytics Innovations Community Call: Delivering Big Data Inisghts wi...#askSAP Analytics Innovations Community Call: Delivering Big Data Inisghts wi...
#askSAP Analytics Innovations Community Call: Delivering Big Data Inisghts wi...SAP Analytics
 
Dmm212 – Sap Hana Graph Processing
Dmm212 – Sap Hana  Graph ProcessingDmm212 – Sap Hana  Graph Processing
Dmm212 – Sap Hana Graph ProcessingLuc Vanrobays
 
DMM161 HANA_MODELING_2015
DMM161 HANA_MODELING_2015DMM161 HANA_MODELING_2015
DMM161 HANA_MODELING_2015Luc Vanrobays
 
Five Reasons To Skip SAP Suite on HANA and Go Directly to SAP S/4HANA
Five Reasons To Skip SAP Suite on HANA and Go Directly to SAP S/4HANAFive Reasons To Skip SAP Suite on HANA and Go Directly to SAP S/4HANA
Five Reasons To Skip SAP Suite on HANA and Go Directly to SAP S/4HANASAP Technology
 
SAP HANA, from development to deployment, cloud, on-premise or hybrid, a solu...
SAP HANA, from development to deployment, cloud, on-premise or hybrid, a solu...SAP HANA, from development to deployment, cloud, on-premise or hybrid, a solu...
SAP HANA, from development to deployment, cloud, on-premise or hybrid, a solu...Abdelhalim DADOUCHE
 
Innovate collaborative applications with SAP Jam Collaboration & SAP Cloud Pl...
Innovate collaborative applications with SAP Jam Collaboration & SAP Cloud Pl...Innovate collaborative applications with SAP Jam Collaboration & SAP Cloud Pl...
Innovate collaborative applications with SAP Jam Collaboration & SAP Cloud Pl...SAP Technology
 
Discover SAP BusinessObjects BI 4.3
Discover SAP BusinessObjects BI 4.3Discover SAP BusinessObjects BI 4.3
Discover SAP BusinessObjects BI 4.3Wiiisdom
 

What's hot (19)

L'avenir de SAP BusinessObjects Web Intelligence ​ - ​BI4.2 SP06 et dernières...
L'avenir de SAP BusinessObjects Web Intelligence ​ - ​BI4.2 SP06 et dernières...L'avenir de SAP BusinessObjects Web Intelligence ​ - ​BI4.2 SP06 et dernières...
L'avenir de SAP BusinessObjects Web Intelligence ​ - ​BI4.2 SP06 et dernières...
 
Sap bw4 hana architecture archetypes
Sap bw4 hana architecture archetypesSap bw4 hana architecture archetypes
Sap bw4 hana architecture archetypes
 
SQL Data Warehousing in SAP HANA (Sefan Linders)
SQL Data Warehousing in SAP HANA (Sefan Linders)SQL Data Warehousing in SAP HANA (Sefan Linders)
SQL Data Warehousing in SAP HANA (Sefan Linders)
 
SAP Data Hub
SAP Data HubSAP Data Hub
SAP Data Hub
 
SAP Predictive Analytics
SAP Predictive AnalyticsSAP Predictive Analytics
SAP Predictive Analytics
 
BI4.2 SP06 and Beyond: The Future of SAP BusinessObjects Webi
BI4.2 SP06 and Beyond: The Future of SAP BusinessObjects WebiBI4.2 SP06 and Beyond: The Future of SAP BusinessObjects Webi
BI4.2 SP06 and Beyond: The Future of SAP BusinessObjects Webi
 
#askSAP Analytics Innovations Community Call: Become an Intelligent Enterpris...
#askSAP Analytics Innovations Community Call: Become an Intelligent Enterpris...#askSAP Analytics Innovations Community Call: Become an Intelligent Enterpris...
#askSAP Analytics Innovations Community Call: Become an Intelligent Enterpris...
 
What’s new in SAP Cloud Platform Workflow – summer edition 2019
What’s new in SAP Cloud Platform Workflow – summer edition 2019What’s new in SAP Cloud Platform Workflow – summer edition 2019
What’s new in SAP Cloud Platform Workflow – summer edition 2019
 
0308 crystal reports in the business objects intelligence 41 ecosystem
0308 crystal reports in the business objects intelligence 41 ecosystem0308 crystal reports in the business objects intelligence 41 ecosystem
0308 crystal reports in the business objects intelligence 41 ecosystem
 
#AskSAP Analytics Innovations Community Call: SAP Analytics Fall 2018 Innovat...
#AskSAP Analytics Innovations Community Call: SAP Analytics Fall 2018 Innovat...#AskSAP Analytics Innovations Community Call: SAP Analytics Fall 2018 Innovat...
#AskSAP Analytics Innovations Community Call: SAP Analytics Fall 2018 Innovat...
 
Dmm300 – mixed scenarios for sap hana data warehousing and BW: overview and e...
Dmm300 – mixed scenarios for sap hana data warehousing and BW: overview and e...Dmm300 – mixed scenarios for sap hana data warehousing and BW: overview and e...
Dmm300 – mixed scenarios for sap hana data warehousing and BW: overview and e...
 
Overview on What’s New in SAP Cloud Platform Business Rules
Overview on What’s New in SAP Cloud Platform Business RulesOverview on What’s New in SAP Cloud Platform Business Rules
Overview on What’s New in SAP Cloud Platform Business Rules
 
#askSAP Analytics Innovations Community Call: Delivering Big Data Inisghts wi...
#askSAP Analytics Innovations Community Call: Delivering Big Data Inisghts wi...#askSAP Analytics Innovations Community Call: Delivering Big Data Inisghts wi...
#askSAP Analytics Innovations Community Call: Delivering Big Data Inisghts wi...
 
Dmm212 – Sap Hana Graph Processing
Dmm212 – Sap Hana  Graph ProcessingDmm212 – Sap Hana  Graph Processing
Dmm212 – Sap Hana Graph Processing
 
DMM161 HANA_MODELING_2015
DMM161 HANA_MODELING_2015DMM161 HANA_MODELING_2015
DMM161 HANA_MODELING_2015
 
Five Reasons To Skip SAP Suite on HANA and Go Directly to SAP S/4HANA
Five Reasons To Skip SAP Suite on HANA and Go Directly to SAP S/4HANAFive Reasons To Skip SAP Suite on HANA and Go Directly to SAP S/4HANA
Five Reasons To Skip SAP Suite on HANA and Go Directly to SAP S/4HANA
 
SAP HANA, from development to deployment, cloud, on-premise or hybrid, a solu...
SAP HANA, from development to deployment, cloud, on-premise or hybrid, a solu...SAP HANA, from development to deployment, cloud, on-premise or hybrid, a solu...
SAP HANA, from development to deployment, cloud, on-premise or hybrid, a solu...
 
Innovate collaborative applications with SAP Jam Collaboration & SAP Cloud Pl...
Innovate collaborative applications with SAP Jam Collaboration & SAP Cloud Pl...Innovate collaborative applications with SAP Jam Collaboration & SAP Cloud Pl...
Innovate collaborative applications with SAP Jam Collaboration & SAP Cloud Pl...
 
Discover SAP BusinessObjects BI 4.3
Discover SAP BusinessObjects BI 4.3Discover SAP BusinessObjects BI 4.3
Discover SAP BusinessObjects BI 4.3
 

Similar to SAP analytics as enabler for the intelligent enterprise (Iver van de Zand)

SAP Analytics Overview and Strategy
SAP Analytics Overview and StrategySAP Analytics Overview and Strategy
SAP Analytics Overview and StrategyGuenter Plahl
 
03 sac app-design_overview_roadmap_20190228
03   sac  app-design_overview_roadmap_2019022803   sac  app-design_overview_roadmap_20190228
03 sac app-design_overview_roadmap_20190228Ivan Blatnik
 
SAP Business Technology Platform in a Nutshell
SAP Business Technology Platform in a NutshellSAP Business Technology Platform in a Nutshell
SAP Business Technology Platform in a NutshellRichard314186
 
S4HANA_2021_Business_Scope_FPS2.pdf
S4HANA_2021_Business_Scope_FPS2.pdfS4HANA_2021_Business_Scope_FPS2.pdf
S4HANA_2021_Business_Scope_FPS2.pdfUpesh5
 
ASUG84544 - Workflow Solutions from SAP When to Use What.pdf
ASUG84544 - Workflow Solutions from SAP When to Use What.pdfASUG84544 - Workflow Solutions from SAP When to Use What.pdf
ASUG84544 - Workflow Solutions from SAP When to Use What.pdfssuser8bab641
 
SAP Engineering Control Center interface to PTC Creo: Product Presentation
SAP Engineering Control Center interface to PTC Creo: Product PresentationSAP Engineering Control Center interface to PTC Creo: Product Presentation
SAP Engineering Control Center interface to PTC Creo: Product Presentationriessengineering
 
SAP REST PROGRAMMING Documantation & Notes
SAP REST PROGRAMMING Documantation & NotesSAP REST PROGRAMMING Documantation & Notes
SAP REST PROGRAMMING Documantation & Notesnepalsingh9990
 
Innovate and Extend with an Agile Digital Enterprise Platform
Innovate and Extend with an Agile Digital Enterprise PlatformInnovate and Extend with an Agile Digital Enterprise Platform
Innovate and Extend with an Agile Digital Enterprise PlatformVladimir Pavlov
 
sitNL 2015 Cloud for Analytics (Damien Fribourg)
sitNL 2015 Cloud for Analytics (Damien Fribourg)sitNL 2015 Cloud for Analytics (Damien Fribourg)
sitNL 2015 Cloud for Analytics (Damien Fribourg)Twan van den Broek
 
The Power of Collective Insight with SAP BI
The Power of Collective Insight with SAP BIThe Power of Collective Insight with SAP BI
The Power of Collective Insight with SAP BIWaldemar Adams
 
SAP BI BO roadmap BO analytics editions
SAP BI BO roadmap BO analytics editionsSAP BI BO roadmap BO analytics editions
SAP BI BO roadmap BO analytics editionsJuan Frias
 
26764 Waldemar Adams 151116 BCN SAP Select
26764 Waldemar Adams 151116 BCN SAP Select26764 Waldemar Adams 151116 BCN SAP Select
26764 Waldemar Adams 151116 BCN SAP SelectWaldemar Adams
 
SAP Cloud Platform x Microsoft Graph
SAP Cloud Platform x Microsoft GraphSAP Cloud Platform x Microsoft Graph
SAP Cloud Platform x Microsoft GraphMarius Obert
 
02_SAP_S4HANA_Value_Roadmap_Next_Generation_Suite2.pdf
02_SAP_S4HANA_Value_Roadmap_Next_Generation_Suite2.pdf02_SAP_S4HANA_Value_Roadmap_Next_Generation_Suite2.pdf
02_SAP_S4HANA_Value_Roadmap_Next_Generation_Suite2.pdfdiamondfire201
 
openSAP_plc1_Week_02_All_Slides.pdf
openSAP_plc1_Week_02_All_Slides.pdfopenSAP_plc1_Week_02_All_Slides.pdf
openSAP_plc1_Week_02_All_Slides.pdfManish Singh
 
SAP Cloud For Analytics Launch Event South Africa
SAP Cloud For Analytics Launch Event South AfricaSAP Cloud For Analytics Launch Event South Africa
SAP Cloud For Analytics Launch Event South AfricaWaldemar Adams
 

Similar to SAP analytics as enabler for the intelligent enterprise (Iver van de Zand) (20)

HANA SPS07 Shine
HANA SPS07 ShineHANA SPS07 Shine
HANA SPS07 Shine
 
What the FaaS
What the FaaSWhat the FaaS
What the FaaS
 
SAP Analytics Overview and Strategy
SAP Analytics Overview and StrategySAP Analytics Overview and Strategy
SAP Analytics Overview and Strategy
 
03 sac app-design_overview_roadmap_20190228
03   sac  app-design_overview_roadmap_2019022803   sac  app-design_overview_roadmap_20190228
03 sac app-design_overview_roadmap_20190228
 
SAP Business Technology Platform in a Nutshell
SAP Business Technology Platform in a NutshellSAP Business Technology Platform in a Nutshell
SAP Business Technology Platform in a Nutshell
 
S4HANA_2021_Business_Scope_FPS2.pdf
S4HANA_2021_Business_Scope_FPS2.pdfS4HANA_2021_Business_Scope_FPS2.pdf
S4HANA_2021_Business_Scope_FPS2.pdf
 
ASUG84544 - Workflow Solutions from SAP When to Use What.pdf
ASUG84544 - Workflow Solutions from SAP When to Use What.pdfASUG84544 - Workflow Solutions from SAP When to Use What.pdf
ASUG84544 - Workflow Solutions from SAP When to Use What.pdf
 
SAP Engineering Control Center interface to PTC Creo: Product Presentation
SAP Engineering Control Center interface to PTC Creo: Product PresentationSAP Engineering Control Center interface to PTC Creo: Product Presentation
SAP Engineering Control Center interface to PTC Creo: Product Presentation
 
SAP REST PROGRAMMING Documantation & Notes
SAP REST PROGRAMMING Documantation & NotesSAP REST PROGRAMMING Documantation & Notes
SAP REST PROGRAMMING Documantation & Notes
 
Innovate and Extend with an Agile Digital Enterprise Platform
Innovate and Extend with an Agile Digital Enterprise PlatformInnovate and Extend with an Agile Digital Enterprise Platform
Innovate and Extend with an Agile Digital Enterprise Platform
 
sitNL 2015 Cloud for Analytics (Damien Fribourg)
sitNL 2015 Cloud for Analytics (Damien Fribourg)sitNL 2015 Cloud for Analytics (Damien Fribourg)
sitNL 2015 Cloud for Analytics (Damien Fribourg)
 
The Power of Collective Insight with SAP BI
The Power of Collective Insight with SAP BIThe Power of Collective Insight with SAP BI
The Power of Collective Insight with SAP BI
 
SAP BI BO roadmap BO analytics editions
SAP BI BO roadmap BO analytics editionsSAP BI BO roadmap BO analytics editions
SAP BI BO roadmap BO analytics editions
 
26764 Waldemar Adams 151116 BCN SAP Select
26764 Waldemar Adams 151116 BCN SAP Select26764 Waldemar Adams 151116 BCN SAP Select
26764 Waldemar Adams 151116 BCN SAP Select
 
SAP Cloud Platform x Microsoft Graph
SAP Cloud Platform x Microsoft GraphSAP Cloud Platform x Microsoft Graph
SAP Cloud Platform x Microsoft Graph
 
02_SAP_S4HANA_Value_Roadmap_Next_Generation_Suite2.pdf
02_SAP_S4HANA_Value_Roadmap_Next_Generation_Suite2.pdf02_SAP_S4HANA_Value_Roadmap_Next_Generation_Suite2.pdf
02_SAP_S4HANA_Value_Roadmap_Next_Generation_Suite2.pdf
 
openSAP_plc1_Week_02_All_Slides.pdf
openSAP_plc1_Week_02_All_Slides.pdfopenSAP_plc1_Week_02_All_Slides.pdf
openSAP_plc1_Week_02_All_Slides.pdf
 
S4 1610 business value l1
S4 1610 business value l1S4 1610 business value l1
S4 1610 business value l1
 
SAP Cloud For Analytics Launch Event South Africa
SAP Cloud For Analytics Launch Event South AfricaSAP Cloud For Analytics Launch Event South Africa
SAP Cloud For Analytics Launch Event South Africa
 
Cloud Computing at SAP
Cloud Computing at SAPCloud Computing at SAP
Cloud Computing at SAP
 

More from Twan van den Broek

How SAP Leonardo is empowering animal wellbeing (Leon / Harmen)
How SAP Leonardo is empowering animal wellbeing (Leon / Harmen)How SAP Leonardo is empowering animal wellbeing (Leon / Harmen)
How SAP Leonardo is empowering animal wellbeing (Leon / Harmen)Twan van den Broek
 
Beyond OData introducing the xmla model for ui5 (Roland Bouwman)
Beyond OData introducing the xmla model for ui5 (Roland Bouwman)Beyond OData introducing the xmla model for ui5 (Roland Bouwman)
Beyond OData introducing the xmla model for ui5 (Roland Bouwman)Twan van den Broek
 
Integrating SAPUI5 with ArcGIS Maps (Leon van Ginneken)
Integrating SAPUI5 with ArcGIS Maps (Leon van Ginneken)Integrating SAPUI5 with ArcGIS Maps (Leon van Ginneken)
Integrating SAPUI5 with ArcGIS Maps (Leon van Ginneken)Twan van den Broek
 
SAP Predictive Analytics (Nico van der Hoeven)
SAP Predictive Analytics (Nico van der Hoeven)SAP Predictive Analytics (Nico van der Hoeven)
SAP Predictive Analytics (Nico van der Hoeven)Twan van den Broek
 
DIR - A tribute to Standards and Guidelines... (Laurens van Rijn)
DIR - A tribute to Standards and Guidelines...  (Laurens van Rijn)DIR - A tribute to Standards and Guidelines...  (Laurens van Rijn)
DIR - A tribute to Standards and Guidelines... (Laurens van Rijn)Twan van den Broek
 
Building an innovation culture - Powered by diversity
Building an innovation culture - Powered by diversityBuilding an innovation culture - Powered by diversity
Building an innovation culture - Powered by diversityTwan van den Broek
 
SAP Leonardo / Machine Learning (Iver van de Zand)
SAP Leonardo / Machine Learning (Iver van de Zand)SAP Leonardo / Machine Learning (Iver van de Zand)
SAP Leonardo / Machine Learning (Iver van de Zand)Twan van den Broek
 
SAP TechEd recap (Ronald Konijnenburg / Sven van Leuken)
SAP TechEd recap (Ronald Konijnenburg / Sven van Leuken)SAP TechEd recap (Ronald Konijnenburg / Sven van Leuken)
SAP TechEd recap (Ronald Konijnenburg / Sven van Leuken)Twan van den Broek
 
The importance of applying SAP patches (Joris van de Vis)
The importance of applying SAP patches (Joris van de Vis)The importance of applying SAP patches (Joris van de Vis)
The importance of applying SAP patches (Joris van de Vis)Twan van den Broek
 
Masterclass Mendix (Jan Penninkhof / Twan van den Broek)
Masterclass Mendix (Jan Penninkhof / Twan van den Broek)Masterclass Mendix (Jan Penninkhof / Twan van den Broek)
Masterclass Mendix (Jan Penninkhof / Twan van den Broek)Twan van den Broek
 
Masterclass Machine Learning (Ronald Kleijn)
Masterclass Machine Learning (Ronald Kleijn)Masterclass Machine Learning (Ronald Kleijn)
Masterclass Machine Learning (Ronald Kleijn)Twan van den Broek
 
SAP Run Live Truck - SAP Cloud Platform use cases
SAP Run Live Truck - SAP Cloud Platform use casesSAP Run Live Truck - SAP Cloud Platform use cases
SAP Run Live Truck - SAP Cloud Platform use casesTwan van den Broek
 
Recap SAP Inside Track NL (sitNL)
Recap SAP Inside Track NL (sitNL)Recap SAP Inside Track NL (sitNL)
Recap SAP Inside Track NL (sitNL)Twan van den Broek
 
Welcome at SAP Inside Track NL (sitNL)
Welcome at SAP Inside Track NL (sitNL)Welcome at SAP Inside Track NL (sitNL)
Welcome at SAP Inside Track NL (sitNL)Twan van den Broek
 
BW4/HANA implementation stories | sitNL 2016
BW4/HANA implementation stories | sitNL 2016BW4/HANA implementation stories | sitNL 2016
BW4/HANA implementation stories | sitNL 2016Twan van den Broek
 
SAP TechEd BI recap | sitNL 2016
SAP TechEd BI recap | sitNL 2016SAP TechEd BI recap | sitNL 2016
SAP TechEd BI recap | sitNL 2016Twan van den Broek
 
What a CDS-view can do for you | sitNL 2016
What a CDS-view can do for you | sitNL 2016What a CDS-view can do for you | sitNL 2016
What a CDS-view can do for you | sitNL 2016Twan van den Broek
 

More from Twan van den Broek (20)

How SAP Leonardo is empowering animal wellbeing (Leon / Harmen)
How SAP Leonardo is empowering animal wellbeing (Leon / Harmen)How SAP Leonardo is empowering animal wellbeing (Leon / Harmen)
How SAP Leonardo is empowering animal wellbeing (Leon / Harmen)
 
Beyond OData introducing the xmla model for ui5 (Roland Bouwman)
Beyond OData introducing the xmla model for ui5 (Roland Bouwman)Beyond OData introducing the xmla model for ui5 (Roland Bouwman)
Beyond OData introducing the xmla model for ui5 (Roland Bouwman)
 
Integrating SAPUI5 with ArcGIS Maps (Leon van Ginneken)
Integrating SAPUI5 with ArcGIS Maps (Leon van Ginneken)Integrating SAPUI5 with ArcGIS Maps (Leon van Ginneken)
Integrating SAPUI5 with ArcGIS Maps (Leon van Ginneken)
 
SAP Predictive Analytics (Nico van der Hoeven)
SAP Predictive Analytics (Nico van der Hoeven)SAP Predictive Analytics (Nico van der Hoeven)
SAP Predictive Analytics (Nico van der Hoeven)
 
Blockchain for the Enterprise
Blockchain for the EnterpriseBlockchain for the Enterprise
Blockchain for the Enterprise
 
DIR - A tribute to Standards and Guidelines... (Laurens van Rijn)
DIR - A tribute to Standards and Guidelines...  (Laurens van Rijn)DIR - A tribute to Standards and Guidelines...  (Laurens van Rijn)
DIR - A tribute to Standards and Guidelines... (Laurens van Rijn)
 
Building an innovation culture - Powered by diversity
Building an innovation culture - Powered by diversityBuilding an innovation culture - Powered by diversity
Building an innovation culture - Powered by diversity
 
SAP Leonardo / Machine Learning (Iver van de Zand)
SAP Leonardo / Machine Learning (Iver van de Zand)SAP Leonardo / Machine Learning (Iver van de Zand)
SAP Leonardo / Machine Learning (Iver van de Zand)
 
SAP TechEd recap (Ronald Konijnenburg / Sven van Leuken)
SAP TechEd recap (Ronald Konijnenburg / Sven van Leuken)SAP TechEd recap (Ronald Konijnenburg / Sven van Leuken)
SAP TechEd recap (Ronald Konijnenburg / Sven van Leuken)
 
The importance of applying SAP patches (Joris van de Vis)
The importance of applying SAP patches (Joris van de Vis)The importance of applying SAP patches (Joris van de Vis)
The importance of applying SAP patches (Joris van de Vis)
 
Masterclass Mendix (Jan Penninkhof / Twan van den Broek)
Masterclass Mendix (Jan Penninkhof / Twan van den Broek)Masterclass Mendix (Jan Penninkhof / Twan van den Broek)
Masterclass Mendix (Jan Penninkhof / Twan van den Broek)
 
Masterclass Machine Learning (Ronald Kleijn)
Masterclass Machine Learning (Ronald Kleijn)Masterclass Machine Learning (Ronald Kleijn)
Masterclass Machine Learning (Ronald Kleijn)
 
SAP Run Live Truck - SAP Cloud Platform use cases
SAP Run Live Truck - SAP Cloud Platform use casesSAP Run Live Truck - SAP Cloud Platform use cases
SAP Run Live Truck - SAP Cloud Platform use cases
 
Recap SAP Inside Track NL (sitNL)
Recap SAP Inside Track NL (sitNL)Recap SAP Inside Track NL (sitNL)
Recap SAP Inside Track NL (sitNL)
 
Welcome at SAP Inside Track NL (sitNL)
Welcome at SAP Inside Track NL (sitNL)Welcome at SAP Inside Track NL (sitNL)
Welcome at SAP Inside Track NL (sitNL)
 
Finding ABAP
Finding ABAPFinding ABAP
Finding ABAP
 
BW4/HANA implementation stories | sitNL 2016
BW4/HANA implementation stories | sitNL 2016BW4/HANA implementation stories | sitNL 2016
BW4/HANA implementation stories | sitNL 2016
 
Opening slides | sitNL 2016
Opening slides | sitNL 2016Opening slides | sitNL 2016
Opening slides | sitNL 2016
 
SAP TechEd BI recap | sitNL 2016
SAP TechEd BI recap | sitNL 2016SAP TechEd BI recap | sitNL 2016
SAP TechEd BI recap | sitNL 2016
 
What a CDS-view can do for you | sitNL 2016
What a CDS-view can do for you | sitNL 2016What a CDS-view can do for you | sitNL 2016
What a CDS-view can do for you | sitNL 2016
 

Recently uploaded

8447779800, Low rate Call girls in Rohini Delhi NCR
8447779800, Low rate Call girls in Rohini Delhi NCR8447779800, Low rate Call girls in Rohini Delhi NCR
8447779800, Low rate Call girls in Rohini Delhi NCRashishs7044
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCRashishs7044
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionMintel Group
 
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdfNewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdfKhaled Al Awadi
 
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptxContemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptxMarkAnthonyAurellano
 
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607dollysharma2066
 
Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Kirill Klimov
 
Kenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby AfricaKenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby Africaictsugar
 
Market Sizes Sample Report - 2024 Edition
Market Sizes Sample Report - 2024 EditionMarket Sizes Sample Report - 2024 Edition
Market Sizes Sample Report - 2024 EditionMintel Group
 
Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfrichard876048
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCRashishs7044
 
APRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfAPRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfRbc Rbcua
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesKeppelCorporation
 
Buy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy Verified Accounts
 
Investment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy CheruiyotInvestment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy Cheruiyotictsugar
 
8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCRashishs7044
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationAnamaria Contreras
 

Recently uploaded (20)

No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
 
Corporate Profile 47Billion Information Technology
Corporate Profile 47Billion Information TechnologyCorporate Profile 47Billion Information Technology
Corporate Profile 47Billion Information Technology
 
8447779800, Low rate Call girls in Rohini Delhi NCR
8447779800, Low rate Call girls in Rohini Delhi NCR8447779800, Low rate Call girls in Rohini Delhi NCR
8447779800, Low rate Call girls in Rohini Delhi NCR
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted Version
 
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdfNewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdf
 
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptxContemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
 
Call Us ➥9319373153▻Call Girls In North Goa
Call Us ➥9319373153▻Call Girls In North GoaCall Us ➥9319373153▻Call Girls In North Goa
Call Us ➥9319373153▻Call Girls In North Goa
 
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
 
Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024
 
Kenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby AfricaKenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby Africa
 
Market Sizes Sample Report - 2024 Edition
Market Sizes Sample Report - 2024 EditionMarket Sizes Sample Report - 2024 Edition
Market Sizes Sample Report - 2024 Edition
 
Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdf
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
 
APRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfAPRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdf
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation Slides
 
Buy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail Accounts
 
Investment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy CheruiyotInvestment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy Cheruiyot
 
8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement Presentation
 

SAP analytics as enabler for the intelligent enterprise (Iver van de Zand)

  • 1. PUBLIC Analytics & Insights Innovative Analytics with SAP Analytics Cloud Iver van de Zand Global Head Analytics & Leonardo PreSales
  • 2. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company. The information contained herein may be changed without prior notice. Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliated companies’ strategy and possible future developments, products, and/or platforms, directions, and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, and they should not be relied upon in making purchasing decisions. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. All other product and service names mentioned are the trademarks of their respective companies. See www.sap.com/corporate-en/legal/copyright/index.epx for additional trademark information and notices. © 2018 SAP SE or an SAP affiliate company. All rights reserved.
  • 3. So, how about SAP’s Strategy to win your end users
  • 4. 4Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Product Description This is the current state of planning and may be changed by SAP at any time. SAP’s Strategy: Deliver the Intelligent Enterprise Out-of-the-box integration leveraging SAP Cloud Platform, the SAP Analytics Cloud solution, and a common data foundation with SAP HANA and SAP Data Hub Best-in-class UX with consistent experience across the entire portfolio Easy to extend, allowing customers and partners to customize solutions quickly Intelligence embedded in the applications making the workflows smarter Modular, making it easy to consume and cost-effective to operate.
  • 5. 5Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ The Intelligent Enterprise Framework AI/ML | IoT | Analytics Customer Experience Manufacturing & Supply Chain Digital Core People Engagement Network & Spend Management Intelligent Technologies Digital Platform Data Management Cloud Platform Intelligent Suite 1 2 3 Intelligent Suite Intelligent Technologies Digital Platform The Intelligent Enterprise features 3 key components:
  • 6. Workforce SAP Fieldglass, SAP SuccessFactors Finance SAP S/4HANA, SAP Concur, SAP ByDesign Supply Chain SAP Ariba, SAP Fieldglass Customer SAP Hybris Cloud for Customer, SAP Hybris Marketing Cloud Other Cloud Platforms SAP S/4HANA Cloud, Google, AWS, Social Other Sources SAP BW/4HANA, Hadoop, Spark, Oracle, and more Industry Chemicals, CPG, Engineering & Construction, Financial Services, Healthcare, Mill Products, Mining, Oil & Gas, Professional Services and many more.. Cloud applications need embedded cloud analytics
  • 7. 7Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Product Description This is the current state of planning and may be changed by SAP at any time. Embedded Intelligence Pre-Built Content Integrated Workflow Live Decisions 360 Analytics Industry and LoB Best Practices Advanced Analytics Analytic Apps Out-ot-the box integration The Intelligent Enterprise SAP Analytics Cloud for the Intelligent Enterprise Act in the Moment • No.1 Analytics Cloud Platform on the market for LoB and Industry Content and analytical applications • Power embedded intelligence in every decision and process, enabled by SAP and 3rd party Application
  • 8. SAP Analytics Cloud Self-service analytics rethought from scratch using the latest technologies.
  • 9. Product Description This is the current state of planning and may be changed by SAP at any time. One | Simple | Cloud PredictiveBusiness Intelligence Planning Sharing Simulation Data Preparation Storytelling Forecasting Automated Insights SAP Analytics Cloud Unified experience for Planning, BI and Predictive all in one service Live data connectivity enables SaaS for everyone End-to-end analytics for the Intelligent Enterprise Digital Boardroom On Premise CloudHybrid Application Design Custom Apps SDK Extensions Mobile SAP Analytics Hub
  • 10. Product Description This is the current state of planning and may be changed by SAP at any time. SAP Analytics Cloud architecture Cloud data sources and applications Planning Events and workflows Allocation Value driver tree simulation BI Discovery Charts and tables Geospatial Predictive Smart Assist Build & deploy predictive models Embedding Analytics into applications SAP Digital Boardroom SAP Analytics Hub Mobile Experience On-premise data sources and applications Core capabilities Analytic capabilities SAP App CenterApplications Data connectivity SAP Cloud Platform Wrangling Modeling Administration Auditing Visualizations Collaboration Mobile PaaS SAP Data Center APIs Amazon Web Services Application Design Scripting Composites UI theme & stylesheet
  • 13. SAP Analytics Cloud leverages Machine Learning with Smart Assist Smart Assist includes: • Smart Discovery – uncover key influencers • Smart Insights • Smart Grouping • Smart Transformation
  • 14. Let’s have a look at some Smart Features
  • 15.
  • 16. Conversational analytics — search to insight
  • 17.
  • 19. This is the current state of planning and may be changed by SAP at any time. Application Design Definition What is an application? ▪ Applications range from simple dashboards to complex applications ▪ Applications expose custom logic based on scripting ▪ Applications are created by a few experts to be consumed by many What is application design? ▪ Rich set of capabilities for professional designers of analysis applications to meet sophisticated business requirements ▪ Dedicated development environment with advanced scripting capabilities ▪ Drive standardization of analytics content, create reusable UI elements and application logic (such as headers, footers, toolbars) ▪ Extending Applications via SDKs and APIs
  • 20. Story & Application Levels of Abstraction STORY APPLICATION manually wired with scripting dumb widget “works with Strings” smart widgets “talk dimensions, members, etc.” *** smart by nature *** *** smart by nature & App Designer ***
  • 21. This is the current state of planning and may be changed by SAP at any time. Application Design Professional design of centrally governable analytic content ranging from dashboards via guided analytics to sophisticated planning applications Overview ▪ Intuitive design environment in browser ▪ Large set of design widgets ▪ Function-rich scripting editor ▪ Theming and customization ▪ SDK extensions ▪ Application and story share data connectivity and UI artifacts ▪ Widgets with charts or tables can be re-used in stories
  • 22. This is the current state of planning and may be changed by SAP at any time. Application Design First delivery with wave 13 ( Released to a few selected customers, Business Toggle APP_BUILDING needs to be turned on) ▪ Simple widgets: icons, buttons, tabs, dropdown menus ▪ Data-driven widgets: tables, charts, filterline ▪ Interactions between different widgets via scripting including global variables ▪ Dynamic switch between crosstab and charts ▪ Assign measures and dimensions to crosstab and chart at application runtime ▪ Clear structure – Layout outline with context menu to add and edit scripts – Design area – Properties and script editor ▪ Scripting capabilities – Subset of JavaScript – Content assistance available – getDimension(), setFilter(), etc – Completeness and syntax check – Glance several scripts at once – Global search – Commenting and uncommenting Application Design Recent Innovations
  • 23. This is the current state of planning and may be changed by SAP at any time. Outline View and Widgets ▪ Outline view – Can be turned on/off – Including UI widgets, global scripts and popups – Provides the following options via context menu – Hide/Delete/Rename widget – Add/Delete scripts or events – Where-used-list ▪ Application Design specific widgets – Filterline, Dropdown box, Radio Button Group, Checkbox Group, Button ▪ Reuse and extend story widgets – Image, Text, Crosstab and Chart – Extended with additional app design properties – Naming, Visibility at view time and scripting capabilities Application Design Recent Innovations
  • 24. This is the current state of planning and may be changed by SAP at any time. Filtering data sources via Dropdown, Checkbox Group, Radio Button Group and Button ▪ Via scripting capability ▪ E.g. “Table.getDatasource().setDimensionFilter “ Filtering data source via Filter Line ▪ Via build panel ▪ Source widget to identify the data source of filter line ▪ Default dimensions can be set in build panel ▪ Via copy filter script command to transfer the filter value to other widgets Application Design Recent Innovations Let’s have a quick look
  • 25. Product plan overview – key themes and capabilities Product directionPlanned Q4/2018Planned Q3/2018Recent Innovations SAP Analytics Cloud Application Design ▪ Simple widgets: icons, buttons, tabs, dropdown menus ▪ Data-driven widgets: tables, charts, filterline ▪ Interactions between different widgets via scripting including global variables ▪ Dynamic switch between crosstab and charts ▪ Assign measures and dimensions to crosstab and chart at application runtime ▪ Clear structure – Layout outline with context menu to add and edit scripts – Design area – Properties and script editor ▪ Scripting capabilities – Subset of JavaScript – Content assistance available – getDimension(), setFilter(), etc – Completeness and syntax check – Glance several scripts at once – Commenting and uncommenting ▪ Global Functions – re-usable functions to modularize the code for enterprise applications ▪ Dynamic Layout – Enterprise Apps require dynamic adjustment of screen real-estate without re-arranging all elements (no responsive design). ▪ Planning Support (Part I) – Possibility to work with Planning Models in tables on a canvas page. ▪ Predictive (Part I) – “Smart Features” integration ▪ Translation ▪ Catch-up with Story Features, e.g. – Blending, link dimensions etc. ▪ Enhanced Design Time UIs ▪ Enhanced Set of Widgets ▪ Container Widgets – like tab strips, panels, grid layouts, popups etc. ▪ Planning Support (Part II) ▪ Predictive (Part II) – Predictive model consumption, simulation ▪ OData Calls – OData function calls in the context of an App Design script ▪ Embeddability ▪ Create Story from Widget ▪ Shared Data Sources ▪ Composites ▪ Bookmarks ▪ SDK Extensions ▪ Data-binding for properties ▪ Theming ▪ Mobile Support ▪ Export ▪ Templates
  • 27. Top Prio’s for SAP Analytics Cloud for 2019 1. Connectivity Experience 2. Modelling Experience 3. Embedded Intelligence 4. Tweak Visualization Experience
  • 28. 28Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Recent Innovations Data sources Live SAP Cloud Platform1 SAP S/4HANA Cloud SAP S/4HANA SAP Universe Access via SDI for SAP Cloud Platform & SAP HANA2 Apache Hive AWS SAP Vora SAP Sybase ASE, IQ, ESP Microsoft SQL Server Spark SQL Oracle Teradata OData MaxDB IBM DB2 MySQL Netezza Facebook Google+ Twitter Partner delivered APOS DB2 Microsoft SQL Server Microsoft Analysis Services Oracle ExadataOracle Oracle Essbase Denodo Sybase SQL Anywhere Teradata Delivered Planned within the next 6 months Partners 1. Requires SAP Cloud Platform DBaaS license 2. SAP Cloud Platform connects to data using Smart Data Integration and Smart Data Access Adapters Import Cloud data sources Google Drive SAP Cloud Platform1 SAP Business ByDesignSAP Customer Cloud SAP Fieldglass Google BigQuery Google Sheets SAP S/4HANA Cloud OData Salesforce SAP SuccessFactors ConcurSAP Workforce Analytics SAP Ariba SAP data sources SAP BPC NW & MS SAP HANA SAP ECC SAP Universe SAP BW SAP S/4HANA Other data sources IBM Microsoft SQL Server MySQL Netezza OData Oracle Progress OpenEdgeCSV Excel Partner delivered APOS Web Intelligence CDATA QuickBooks NetSuite CRM & ERP Microsoft SharePoint MongoDB Oracle Marketing Cloud DataDirect Cloud eloqua Google Analytics Hubspot Marketo Microsoft Dynamics CRM SugarCRM SAP BW4/HANA Microsoft Azure Redshift MongoDB MongoDB Atlas MySQL SAP SuccessFactors SAP data sources SAP HANA SAP BW SAP BW4/HANA Cloud data sources Netezza Dow Jones DNA Google BigQuery Sybase IQ
  • 29. 29Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Product Plan This is the current state of planning and may be changed by SAP at any time. Q4/2018 Future DirectionQ1/2019 Live connections Integration with SAP BW Enhanced analytic capabilities ▪ Time Series chart ▪ Search to Insight via natural language query ▪ Data blending between SAP BW live data models with imported data models Integration with BW concepts ▪ Prompting support: BW Dynamic Filters ▪ Enhanced date-based calculations and filtering Integration with SAP HANA Enhanced analytic capabilities ▪ Browser-based data blending ▪ Prompting support: Dynamic Input Parameters Integration with SAP Universes Enhanced analytic capabilities ▪ Calculated dimensions creation in Story ▪ Measure-based filters support ▪ Calculation Editor: Aggregation calculations Integration with SAP BW Enhanced analytic capabilities ▪ Additional chart types: waterfall, variance, geo map ▪ Chart to chart filtering with multiple dimensions ▪ Data blending enhancements: ▪ Between SAP BW live data models from same BW system ▪ Between SAP BW live data modes from different BW systems ▪ Between SAP BW live and SAP HANA live data models Integration with BW concepts ▪ Respect text presentation setting from BW query in Charts Integration with SAP HANA Data connectivity Live connection to SAP HANA 2.0 in SCP Cloud Foundry (via Hana Analytics Adaptor) Integration with SAP Universes Live Universe Connectivity release 2.0.0 ▪ Enhanced performance Integration with SAP BPC Embedded Data connectivity ▪ SSO support for live connections to SAP BPC Embedded Integration with SAP BW Standard Adhoc Analysis ▪ Launch BW queries through URL with parameters ▪ Slice & dice analysis of data from BW queries Integration with SAP HANA Data connectivity ▪ Simplified live connection setup to SAP HANA 2.0 in SCP Cloud Foundry Integration with SAP Universes Continued investment of analytic capabilities ▪ Chart to chart filtering based on different models ▪ Threshold on measures ▪ Ranking ▪ Drill support on Universe hierarchies ▪ Search to Insight Continued integration with Universe concepts ▪ Support for Universe Details
  • 30. 30Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Product Plan This is the current state of planning and may be changed by SAP at any time. Q4/2018 Future DirectionQ1/2019 Data import connections Data connectivity ▪ Additional relational data source connections via JDBC ▪ Multi-agent support within single tenant Data preparation ▪ Combine multiple datasets into a single model ▪ Calculated columns creation Models ▪ Rebuilding of models: ability to edit data preparation sessions Data connectivity ▪ Additional data source connections for Cloud Foundry tenants: ▪ CRM Cloud sources ▪ Cloud Storage sources ▪ Connectivity to SAP Data Hub Data preparation ▪ Support of any worldwide Geo location ▪ Support Geo enrichment of models with more than 200K locations ▪ New transformation: unpivot columns to rows ▪ Enhanced User Experience to managing hierarchies Models ▪ Multiple time dimension support ▪ New User Experience for Modeler Data connectivity ▪ Live connections to SQL sources ▪ Blur the lines between Live and Data Import connectivity Data preparation ▪ Conformance to global dimensions ▪ Enriched transformations during data export for planning scenarios Data management ▪ Push data API into SAP Analytics Cloud
  • 31. 31Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Product Plan This is the current state of planning and may be changed by SAP at any time. Q4/2018 Future DirectionQ1/2019 Data visualization ▪ Waterfall improvements ▪ Display dynamic images from live HANA ▪ Batch PDF export based on story input control ▪ Model prompts available in story filter bar ▪ Convert measure into dimension and vice versa ▪ Convert numeric and string dimensions ▪ Display currency/unit and scale in numeric point charts ▪ Dynamic text for table titles ▪ Predefined table calculations ▪ Improved currency and scale formatting ▪ Asymmetric tables for HANA 2.0 ▪ Dynamic time filters based on custom dates ▪ Sharing bookmarks ▪ Additional exception aggregations in story ▪ Optimized linked analysis user experience ▪ Sharing global bookmarks ▪ Sort and rank independently ▪ Undo / Redo ▪ Email distribution ▪ Trend-based conditional formatting ▪ Story-based alerts ▪ Charting extensions SDK ▪ Multi-dimension sorting
  • 32. 32Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ This is the current state of planning and may be changed by SAP at any time. Q4/2018 Planning Data Action Extensions ▪ Cross model data copy ▪ Prompting & variable support Advanced Formulas ▪ Hierarchy navigation ▪ Cross/multi-model referencing ▪ Select source version ▪ Clear data ▪ Currency calculations ▪ Support for calculated members Allocations ▪ Keep source and overwrite target Application Design ▪ Initial support for Planning models Data Entry ▪ Spreading/copy on local currency ▪ Local currency commenting ▪ Private version commenting ▪ Enhanced rolling forecast layout ▪ Custom sort order for elements ▪ Improved version handling Calendar | Input Task ▪ Calendar event recurrence ▪ Hierarchical approvals ▪ Input Task delegation ▪ Set due date options for events ▪ Calendar home screen tile BPC Integration ▪ Live write-back for BPC Embedded
  • 33. 33Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ This is the current state of planning and may be changed by SAP at any time. Q4/2018 Analytical Reports Planning Input Forms BOC/DBR dashboards Cost center KPI and financial statement reports Profit center Trend reports Balance sheet Variance reports (Actual vs. Plan, YOY) Currency Rate Reconciliation Compensation Planning3 Financial Planning and Analysis for S/4HANA Best in class Business Intelligence, Planning, and Predictive for S/4HANA1 S/4HANA SAPAnalyticsCloud 1. Planning support for S/4HANA Cloud as of release 1802, and S/4HANA On-premise as of 1809. Pre-delivered content is not fully supported with S/4HANA On-premise with release 1809 2. Workforce Planning for S/4HANA Cloud is currently targeted for 1811 Cash Flow SuccessFactors Master Data Transaction Data G/L Account Company Code Cost Center Profit Center Functional Area Trading Partner WBS Element Actual G/L activity by period from S/4HANA Cloud and other sources Plan/Forecast data from SAP Analytics Cloud Job ID, Job Classification, Company, Cost Center, Location, FTE, Salary Live Analytics Profit & Loss Balance Sheet Cash Flow Profit & Loss Balance Sheet Employee Central Workforce Plannng2 Financial Planning
  • 34. This is the current state of planning and may be changed by SAP at any time. Future Direction Collaborative Enterprise Planning Business Planning for Manufacturing and Distribution Planning & Analysis Analytics Cloud Integrated Business Planning FINANCE OPERATIONS
  • 35. 35Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Recent Innovations SAP Analytics Cloud Smart Predict A self-service solution in the cloud supporting data ingestion, predictive model authoring and model management in SAP Analytics Cloud ▪ Predictive made simple for business analysts ▪ Business problem focus captures user intention – Classification, regression and segmented time series use cases supported ▪ Support for SAP Analytics Cloud import data sources – csv – S/4 HANA ▪ Transparent, understandable and trustworthy results ▪ Consume predictive results in Stories
  • 36. 36Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ This is the current state of planning and may be changed by SAP at any time. Q4/2018 Data connectivity / Wrangling / Modeling Stories Boardroom Presentations Roambi Templates Cloud data sources and applications On-premise data sources and applications Mobile App Suite Content Type Data connectivity Roambi experience brought to SAP Analytics Cloud
  • 37. 37Customer© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ This is the current state of planning and may be changed by SAP at any time. Q4/2018 Developer Story Catalog REST API enhancements: filtering, sorting, pagination ▪ Return stories that contain a specific model ▪ Set the sort order for the items returned from API actions ▪ Return a list of items based on a range of index values ▪ support Application Design metadata Open Story URL API ▪ support embedding Application Design content ▪ support non-default hierarchy filtering User and team management REST APIs ▪ Returns user and group information ▪ Updates, returns user and group attribute information ▪ Deletes, creates, and gets a list of users and user groups Tenant provisioning and configuration APIs (for OEMs) ▪ API for an OEM to create, delete, update and list tenants, and read tenant metadata ▪ API to configure a tenant: add live connection, add OAuth Clients, add SAML IdP Content deployment management via APIs (for OEM’s) ▪ API to copy standard content to all the tenants of an OEM Analytics Hub API ▪ Publish Analytics Hub APIs to api.sap.com https://<public_url>/sap/fpa/ui/tenants/<tenant_description>/bo/story/<story_id> • <public_url> is the public AC URL for the tenant • <tenant_description> is the tenant name in lower case. • <story_id> is the unique story identifier in AC (no id provided indicates new story creation) UI URL Parameters • mode=edit, present, embed • in present mode, you can see the pagebar, but the mainbar is removed and the toolbar is hidden. The toolbar will show if you hover the mouse over the top of the pagebar. • in embed mode, you can see the pagebar with a filter button, but the mainbar and toolbar are removed. • pageBar=show, disable • only works for embed mode • page=1,2,3,… or page_uuid Example https://dev-i817904-1.eu1.projectorca.cloud/sap/fpa/ui/tenants/005/bo/story/56F0EA003E71722BE10000000A4E740E?mode=embed&pageBar=disable&page=2 Embedding URL API - to directly open a story via the URL Get Stories REST call /[PublicApiService path on server]/api/stories Adding “?include=models” will also return models used in the story as a JSON array Example JSON response: { "id": "0000000AA513C9583E39BB216A0569E1", "name": "Dashboard", "description": "", "created": "2017-03-09T21:26:06.919Z", "createdBy": "ADMIN", "changed": "2017-03-09T21:26:06.919Z", "changedBy": "ADMIN", "template": true, "sample": false } PATCH api/v1/stories/STORY_ID • Renames the story specified by <STORY_ID>. • Parameters: • <STORY_ID>: The ID of the story to rename For example, api/v1/stories/<STORY_ID>, where <STORY_ID> is the ID of the story you want to rename. • name: The new name for the story. DELETE api/v1/stories/STORY_ID • Deletes the story specified by <STORY_ID>. • Parameters: • <STORY_ID>: The ID of the story to delete. For example, api/v1/stories/<STORY_ID>, where <STORY_ID> is the ID of the story you want to delete.
  • 39. Industries: ▪ Banking (enhanced) ▪ Insurance IFRS ▪ Real Estate ▪ Rural Sourcing Management Lines of Business: ▪ Advanced Compliance Reporting (ACR) ▪ Financial Consolidation for S/4HANA Cloud (enhanced) ▪ Financial Planning & Analysis for S/4HANA Cloud (enhanced) ▪ Hybris Marketing (enhanced) ▪ Manufacturing for S/4HANA Cloud (enhanced) ▪ Product Cost Planning ▪ Project Budgeting & Planning for S/4HANA Cloud ▪ Sales Performance and Target Planning (CRM) (enhanced) ▪ Trade Management Lab Preview Content for SAP Digital Boardroom & Analytics Cloud Content Innovation 8 – Q2.2018
  • 40. SAP Analytics Cloud and Digital Boardroom Industry and Line of Business Content Industry ▪ Banking ▪ Chemicals ▪ Consumer Products ▪ Engineering, Construction & Operations ▪ Health Care ▪ Insurance ▪ Mill Products ▪ Mining ▪ Oil & Gas ▪ Professional Services S/4HC (BPE) ▪ Public Sector ▪ Public Services: Higher Education and Research ▪ Real Estate ▪ Retail (BPE) ▪ Rural Sourcing Management ▪ Utilities Line of Business ▪ Advanced Compliance Reporting (ACR) ▪ Business ByDesign (Finance and Procurement) ▪ Environment, Health and Safety ▪ Finance ▪ Financial Consolidation S/4HC (BPE) ▪ Financial Planning & Analysis S/4HC (BPE) ▪ FI Operational Expense Planning ▪ Human Resources (SuccessFactors) ▪ Human Resources Salary Planning ▪ Hybris Marketing ▪ Manufacturing S/4HC (BPE) ▪ Procurement ▪ Procurement S/4HC (BPE) ▪ Product Cost Planning ▪ Project and Portfolio Management ▪ Project Budgeting & Planning S/4HC (BPE) ▪ Project Staff Planning ▪ Sales and Distribution ▪ Sales Performance and Target Planning (CRM) ▪ Solution Manager: Test Suite Analysis / IT Service Management Analytics ▪ Trade Management ▪ Travel & Expense (Concur) ▪ Vendor Management System (Fieldglass) (BPE) Best Practice Solution Package S/4HC: SAP S/4HANA Cloud Lab Preview The following packages include Planning ▪ Finance ▪ Financial Planning & Analysis S/4HC (BPE) ▪ FI Operational Expense Planning ▪ Human Resources Salary Planning ▪ Product Cost Planning ▪ Project Budgeting & Planning S/4HC (BPE) ▪ Project Staff Planning ▪ Sales Performance and Target Planning (CRM) ▪ Travel & Expense (Budget Planning)
  • 41. Partner Content for SAP Digital Boardroom and Analytics Cloud Abaco Consultores Logistics and supply chain B4 Consulting Construction Cognizant Equipment Effectiveness Comerit Analytics for SAP Lease Administration by NAKISA Delaware Costs to Serve Infomotion Corporate Data Collection, simplified with SAP Analytics Cloud Visual Crossing Location Analysis for SAP Analytics Cloud Infosys Utilities 360 - Energy Supply PwC Predictive Analytics Please find details in the SAP App Center
  • 42. Partner Content for SAP Digital Boardroom and Analytics Cloud – Wave 2 Please find details in the SAP App Center Aqoia Digital Edge Solution (Automotive ) A41S Avantum Finance & Controlling Bramasol Revenue Recognition Ernst & Young Financial Statement Visual BI Upstream Oil & Gas VASPP Access Control VASPP Process Control WIPRO Energy Usage ISC PLUS-IT easyBI on Cloud (Finance ) Mibcon Data Privacy and Protection Renew HR SHARP HR Analytics
  • 43. Thank You Iver van de Zand Iver.van.de.zand@sap.com http://www.ivervandezand.com Twitter: @Ivervandezand