HANA in Healthcare Education Series A Closer Look at SAP ... in Healthcare - A Closer... · MaxDB, MS SQL Server, MySQL, Netezza, OData, Oracle, SAP Sybase ASE, IQ, ESP, SparkSQL

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HANA in Healthcare Education Series

A Closer Look at SAP Analytics Cloud

Ty Miller, Analytics Product Management

2EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ

The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission o f SAP.

Except for your obligation to protect confidential information, this presentation is not subject to your license agreement or any other service

or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or any related

document, or to develop or release any functionality mentioned therein.

This presentation, or any related document and SAP's strategy and possible future developments, products and or platforms directions and

functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this

presentation is not a commitment, promise or legal obligation to deliver any material, code or functionality. This presentation is provided

without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a

particular purpose, or non-infringement. This presentation is for informational purposes and may not be incorporated into a contract. SAP

assumes no responsibility for errors or omissions in this presentation, except if such damages were caused by SAP’s intentional or gross

negligence.

All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ material ly from

expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates,

and they should not be relied upon in making purchasing decisions.

Disclaimer


SAP Analytics Cloud Overview

Marketecture

Data access options

Feature highlights

Brief roadmap

Agenda


SAP Analytics portfolio

SAP BW/4HANA

Modern Data Warehousing

SAP S/4HANA

Embedded Analytics

SAP Analytics Cloud

BI, Planning and Predictive in one service

SAP Digital Boardroom SAP Hybrid Solutions

BIGoverned BI, Reporting and Data Discovery

PlanningBusiness

Planning and Consolidation

PredictivePredictive Analytics

SAP Analytics Hub


New Cloud analytics platforms for Line of Business and OEMs, natively built on the SAP Cloud Platform, in one beautiful user experience

Multimedia

Text

Graphs NoSQL Stores

System logs Data streamsDistributed storage and computing

(e.g. Hadoop)

Cloud Platform

Structured ERP

SAP Analytics Cloud

Or

BI Suite, EPM, Predictive

MCaaS, PaaS or SaaS(e.g. HEC, SAP CP or SAC)

Build the cloud


SAP Analytics Cloud

SaaSThe paradigm for software delivery

UnifiedBI, Predictive & Planning in one service

ConnectedLive Connectivity enables SaaS for everyone

Digital BoardroomEnterprise-wide scenarios covering full performance cycle


SAP Analytics Cloud for business intelligence

Core workflow

▪ Prepare and model cloud and on-premise

data from your browser

▪ Support data connectors from SAP (BW,

HANA, SAP Cloud Platform, Universes)

and non-SAP sources

▪ Support linking aggregated data

▪ Cross dataset calculations

Connect and prepare

your data

▪ Design, visualize, and create your

stories live

▪ Add simple location analytics into your

visualizations

▪ Personalize your own dashboard views

▪ Simply collaborate with your team

▪ Take action on your data

▪ Use permissions to control who can view

and edit your analytics

Visualize and build

your own viewsShare with your team


▪ Simply create and modify calculations

and planning models and on the fly

▪ Take action anytime, anywhere on the

desktop or on the go

▪ Align plans across finance and

business units with direct integration

into SAP Business Planning and

Consolidation

▪ Analyze, plan and visualize in the same

application

▪ Personalize your KPIs, dashboard,

processes and stories

▪ Collaborate in-context of your plan and

make faster decisions

Simplify Experience

▪ Enjoy a new generation of planning in the

cloud with a modern look and feel

▪ Plan and simulate at any level of detail, with

any number of users, at any time

▪ Drive high performance planning and

forecasting process with the SAP Cloud

Platform

Trust

SAP Analytics Cloud for planning

Core workflow


Smart Discovery Smart InsightsSmart Discovery - Simulation

▪ Understand the main business drivers

behind your core KPIs, such as revenue,

churn, and productivity – powered by

machine learning

▪ Interact with insights and explore hidden

structures and relationships

▪ Find the answer to business questions

through intuitive charts and natural

language

▪ Quickly develop a clear understanding of

intricate aspects of your business data

▪ Click on a data point to get smart textual and

visual insights

▪ Example: Want to know more about your

Revenue in the Retail Sector? Smart Insights

panel offers an explanation

▪ Simulate possible outcomes based on

your business scenarios

▪ Predict the outcome of a particular KPI or

record value based on historical data

▪ Experiment to see how particular

dimension values or KPI values will affect

the outcome, e.g. your sales opportunity

SAP Analytics CloudCore workflow - Smart Assist


SAP Digital Boardroom

Built on SAP Analytics Cloud

▪ Get a complete picture of the company

situation in real-time

▪ Visualize in-context insights to maximize

impact on the audience

▪ Align executive decisions on one source of

truth across business areas

▪ Answer ad-hoc questions on-the-fly to better

understand the business performance

▪ Analyze root causes to identify business risks

and opportunities in real-time

▪ Simulate impact of potential decisions to

financials and operations

▪ Transform the boardroom experience for

better outcomes

▪ Reduce boardroom meeting preparation time

and effort

▪ Leverage predefined best practices to

accelerate time to value

Total transparency Instant data driven insights Simplified boardroom processes


Single multi-device iOS app

▪ Native iOS app supporting latest generation of iPhones, iPad and iPad Pro devices

▪ Requires stories designed with Responsive Layout

▪ Supports Stories and Digital Boardroom Presentations

High fidelity experience to resemble story viewing in browser

▪ Fast and intuitive, with touch gesture support

▪ Native filter experience

▪ Story and Presentation consumption only, no design time

Business Intelligence feature focus

▪ No planning or predictive features

▪ Supersedes previous iPhone app and includes collaboration and notifications

Stories and dashboards on mobile


SAP Analytics Cloud and Digital Boardroom

Cloud Data Sources

and Applications

Planning

Events and Workflows

Allocation

Value Driver Tree Simulation

BI

Discovery

Charts and Table

Geospatial

Predictive

Smart Assist

Advanced Analytics*

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 ModelingAdministration

Auditing

Story

ExperienceCollaboration Mobile APIs*

PaaS

SAP Data Center

APIs*APIs

This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document isprovided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement

13CUSTOMER© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ


Cloud data sources

and applications

Planning

Events and Workflows

Allocation

Value Driver Tree Simulation

BI

Discovery

Charts and Table

Geospatial

Predictive

Smart Assist

Advanced Analytics*

Embedding

Analytics into

Applications

SAP Digital Boardroom SAP Analytics Hub Mobile Experience

On-premise data sources and

applications

Core

Capabilities

Analytic

Capabilities

SAP App Center

Applications

Data

Connectivity

SAP Cloud Platform

Wrangling ModelingAdministration

Auditing

Story

ExperienceCollaboration Mobile APIs

PaaS

IaaS SAP data center

Product

direction

This is the current state of planning and may be changed by SAP at any time.


Current SAP Analytics Cloud locations (Australia, China, Japan, Germany, US-East, US-West)

SAP Analytics Cloud

delivery options

▪ Customer can choose their data

center – otherwise the closest

center will be used

Planned SAP Analytics Cloud locations (Canada, Brazil)


SAP Analytics Cloud data center locations

Data access options


Cloud Data Sources Eg. Google Drive & Sheets

Google Big Query

SAP Cloud Platform

SuccessFactors

Concur

Hybris Cloud for Customer

SAP Business ByDesign

OData

SAP Data SourcesEg. SAP BPC NW & MS

SAP BW, Universes

SAP ECC, UNX, ERP

Other Data SourcesIBM, MS SQL Server,

MySQL 5, Oracle,CSV, XLSX

SAP Analytics CloudBuilt on SAP CP

*Connect to data using Smart Data Integration and Smart Data Access Adapters

**Requires SAP CP DBaaS license

***Requires the Vora 1.3 release

Access All Data*Eg. Apache Hive, AWS, Facebook,

Google+, HANA Vora***, IBM DB2,

MaxDB, MS SQL Server, MySQL,

Netezza, OData, Oracle, SAP

Sybase ASE, IQ, ESP, SparkSQL

Teradata, Twitter.

ImportMove data into

SAP CP/HANA

LiveData is not moved

into SAP CP/HANA

Import Data Connection

Data is imported to cloud

Eg. SAP Cloud Platform,

HANA, BW, BWoH, BW/4

HANA, Universe, S/4 HANA

Cloud, Hybris Marketing

Cloud, 3rd party sources**

Live Data Connection

Combine and query any data Create end-to-end scenarios by combining on premise and cloud data

This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document isprovided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement

17CUSTOMER© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP Analytics Cloud and Digital BoardroomData sources supported

SAP Data Sources

SAP BPC NW & MS

SAP BW

SAP ECC

SAP Cloud Platform1 SAP HANA SAP BW4/HANA

Import Live

Google Drive & Sheets

Cloud Data Sources

SAP Cloud Platform1

SAP SuccessFactors SAP Concur

SAP Hybris Cloud for Customer


OData

SAP Fieldglass Google BigQuery

SAP Workforce Analytics

IBM

MySQL

CSV Excel

MS SQL Server

Oracle

Other Data Sources

Netezza

Progress OpenEdge

S/4 HANA Cloud

S/4 HANA

S/4 HANA Cloud

SAP Universe

SAP HANA

Access via SDI for SAP Cloud Platform & SAP HANA2

Apache Hive AWS

Facebook Google+

HANA Vora

IBM DB2MaxDB

MS SQL Server

MySQL Netezza

ODataOracle

SAP Sybase ASE, IQ, ESP

Spark SQL Teradata

Twitter

APOS

Live Partner delivered

Microsoft Analysis Services

LiveData not moved into

SAP Analytics Cloud

ImportImport data into SAP

Analytics Cloud

OData

Oracle

Import Partner delivered

MSFT Dynamics CRM

APOS

Web Intelligence eloqua

Google Analytics

Hubspot

Marketo

SugarCRM

DataDirect CloudCDATA

QuickBooks

Oracle Mktg Cloud

NetSuite CRM & ERP

MSFT SharePoint

MongoDB

S/4 HANA SAP Universe

SAP BW

Planned within the next 6 months Partners

1. Requires SAP Cloud Platform DBaaS license

2. SAP CP connects to data using Smart Data Integration and Smart Data Access Adapters

SAP Ariba

Netezza Sybase IQ Teradata

DB2

Sybase SQL Anywhere

Microsoft SQL Server

SalesForce


Data connectivity marchitecture

Live data access details


Live data connections

Live data query against SAP data

▪ Connect against data running on-premise, or in the cloud

▪ Leverage investment in models built in source system

▪ Build engaging BI Stories (Predictive and Planning

scenarios not supported)

Data stays in the source system

▪ Only the metadata is stored in SAP Analytics Cloud

– i.e. story, measure and column names, filter values

▪ Avoid large amounts of data transfer

Data can be queried directly from browser

▪ Sensitive data stays entirely within corporate network

– One exception: time series forecast

▪ Near real-time data access

SAP Analytics Cloud

Web Client running in browser

Public Cloud

SAP Analytics Cloud

Corporate Network

SAP BW 7.4+ / 7.5+

SAP HANA SPS10+

SAP Cloud Platform DBaaS

SAP S/4HANA, cloud edition

SAP BW/4HANA

SAP S/4HANA, on-premise edition

SAP BusinessObjects Universes

Third Party (SQL, MSAS, Oracle, etc.)


Data access securityLive connection via Reverse Proxy

Access on-premise data via Reverse Proxy

▪ Best suited for connection to on-premise data, when access to

external internet is required

▪ A reverse proxy hardware configuration is required

▪ Data is not sent to, or stored in SAP Analytics Cloud

Authentication

▪ End to end SSO accomplished via SAML 2.0

▪ Data security implemented at the source data is respected

Encryption

▪ Communication between the browser and SAP Analytics Cloud

is automatically encrypted

▪ Data persisted (including the metadata) is encrypted

SAP Analytics Cloud

Reverse Proxy

SAP BW 7.4+ / 7.5+

SAP HANA SPS10+

SAP BW/4HANA

SAP S/4HANA, on-premise edition

SAP BusinessObjects Universes

Third Party (SQL, MSAS, Oracle, etc.)


Live data access securityLive connection to data via CORS

Access on-premise SAP data via Cross-Origin Resource

Sharing (CORS)

▪ Best suited for connection to on-premise data behind the

corporate firewall.

▪ No additional hardware requirements to deploy and

maintain if external internet access is not required

▪ SAP data is not sent to, or stored in SAP Analytics Cloud

Authentication

▪ End to end SSO accomplished via SAML 2.0


Encryption

▪ Communication between browser and SAP Analytics Cloud is

automatically encrypted


SAP Analytics Cloud

SAML 2 IdP SAP HANA, S/4 HANA

and BW

(CORS enabled)

See this blog for more

details on the

difference between

Reverse Proxy and

CORS in an Internet

scenario.

https://blogs.sap.com/2017/04/10/direct-live-hana-connections-in-the-internet-scenario/


Live data access securityLive connection to SAP cloud data

Seamless access to SAP cloud data

▪ Connection to cloud data does not require additional hardware

deployment

▪ Additional system configuration is required depending on Cloud

system

▪ SAP data is not sent to, or stored in SAP Analytics Cloud

Authentication

▪ End to end SSO is supported


Encryption

▪ Communication between the browser and SAP Analytics Cloud

is automatically encrypted


SAP Analytics Cloud

SAP CP DBaaS

SAP S4/HANA, cloud edition

Built-in shared SCI IdP

Import data access details


Import data into SAP Analytics

Cloud

▪ Meet business-driven requirements

where data agility is key

▪ Best for data preparation and data

blending scenarios to drive insights

beyond what corporate data can

provide

▪ Leverage full analytic product

capabilities including Planning and

Predictive

▪ SAP Analytics Cloud’s data security

concepts can be applied when

authoring

Data import into SAP Analytics Cloud

SAP Analytics Cloud

Web Client running in browser

Public Cloud

SAP Analytics Cloud

Corporate Network

SAP Concur

SAP SucessFactors

SAP Fieldglass


SAP Hybris Cloud for Customer (C4C)

SAP Hybris Cloud for Customer Analytics

S/4HANA, cloud edition

Google Drive & Google BigQuery

SalesForce

SAP BusinessObjects Universe

SAP ECC 6.0+

Personal file

SAP BPC 10.0+, 10.1+

Generic JDBC

SAP BW 7.3+

Generic On-premise OData


Data import explainedImport data from on-premise SAP systems

Access to on-premise SAP data via data import

▪ Best suited for agile data discovery, planning, and predictive use

cases

▪ Additional on-premise components to deploy:

– SAP HANA Cloud Connector

– SAP Analytics Cloud agent

▪ SAP data is sent to, and stored in SAP Analytics Cloud

SAP HANA Cloud Connector

▪ Secures the data transfers between the on-premise data source

and SAP Cloud Platform

SAP Analytics Cloud Agent

▪ Connect and send query requests to the on-premise data source

▪ Supports Apache Tomcat 7 or higher

▪ Java Standard Edition Runtime Environment version 7 or higher

SAP Analytics Cloud

SAP HANA Cloud

Connector

SAP Analytics Cloud

Agent

SAP on-premise data


Access to SAP cloud data via data import

▪ Best suited for agile data discovery, planning, and

predictive use cases

▪ Additional system configuration is required depending on

Cloud system

▪ SAP data is sent to, and stored in SAP Analytics Cloud

Data import explainedImport data from SAP cloud systems

SAP Analytics CloudCloud-based SAP

systems

Feature highlights



Recent innovations Product directionPlanned innovations

SAP Analytics Cloud content, native connectivity

▪ SAP S/4HANA

▪ S/4HANA Cloud

▪ Concur

▪ SAP Fieldglass

▪ SAP Hybris Marketing Cloud

▪ SAP Hybris Cloud for Customer

▪ SAP SuccessFactors

▪ SAP Solution Manager

▪ SAP Sports One

▪ SAP Xmedia


▪ SAP Altiscale

▪ SAP Ariba

▪ SAP Business ByDesign

▪ SAP Connected Health

▪ SAP Data Hub

▪ SAP Data Network

▪ SAP Event Ticketing

▪ SAP GRC solutions

Embedded SAP Analytics Cloud

▪ SAP Hybris Marketing Cloud

▪ SAP Knowledge Workspace

▪ SAP Leonardo

▪ SAP SuccessFactors


▪ Multiple SAP Cloud applications

Embedded SAP Analytics Cloud

▪ Multiple SAP Cloud applications

SAP Analytics Cloud integration with SAP applications


R visualizations:

▪ Insert R visualizations into your story

▪ Interact with R visualizations using controls, such as filters

▪ Share stories with other users;R visualizations will remain interactive and consider the user’s row-level security

Provisioning:

▪ Available as a managed R environment without having to set up you own R server

▪ Provide your own R environment

SAP Analytics CloudR visualizations

What is R?

▪ R is an open-source programming language that includes packages for advanced visualizations, statistics, Machine

Learning and much more



Industry and line of business content

Industries▪ Chemicals

▪ Consumer products

▪ Engineering,

Construction &

Operations

▪ Public Sector

▪ Retail (Best practices

package)

Industry and line of business content is available to get

companies started with SAP Analytics Cloud.

The following content is available free-of-charge for all

SAP Analytics Cloud customers:

Further information can be found in the following blog:

https://blogs.sap.com/2016/11/18/sap-businessobjects-cloud-content/

Lines of business▪ Travel & Expense (Concur)

▪ Environment, Health and Safety

▪ Vendor Management System

(SAP Fieldglass)

▪ Finance

▪ Human Resources

▪ (SAP SuccessFactors)

▪ Marketing (Best practices package)

▪ Project and Portfolio Management

▪ Real Time Finance & Planning

(Best practices package)

▪ Test Suite Analysis / IT Service

Management Analytics

(SAP Solution Manager)

https://blogs.sap.com/2016/11/18/sap-businessobjects-cloud-content/

32EXTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice.This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for aparticular purpose, or non-infringement

SAP Analytics Hub

Seamless access to any live deployment

SAP BusinessObjects Enterprise

Other Systems:

SAP/3rd parties

SAP Analytics Cloud

▪ Cloud based, single point of access for on-premise and cloud analytics,

providing a unified user experience independent of the content or

deployment type

▪ Business users have a simple way to search for content, get information,

and access analytics

▪ Content can be documented, categorized, and curated by power users,

who can publish links to selected analytics and provide information for the

business users

▪ Only stores metadata, not actual data or analytics

https://www.sap.com/documents/2017/07/2e78c7d5-c67c-0010-82c7-eda71af511fa.gate.html


▪ SAP Analysis for Microsoft Office workflows and user experience based on SAP Analytics Cloud data

▪ Workflow starts in Excel (logon, browse for models, discover data)

▪ Select table designs within Analysis Office and perform conditional formatting

▪ Consume native cloud models as measure-based Analysis Office models

▪ Work offline on a local snapshot of data

▪ Read-access for planning models

Integration with SAP Analysis for Microsoft Office

Extending options to prepare and analyze data

https://www.sap.com/documents/2017/06/0430a022-c37c-0010-82c7-eda71af511fa.html


Provide analytic micro-services for SAP Cloud Platform and third party application platforms.

Embed a story into a web application

▪ Apply a story level filter dynamically when using the URL API

▪ Ability to specify a model, dimension, and value to filter

▪ Embed analytics into SAP and Non-SAP applications

RESTful API to update an existing model in SAP Analytics

Cloud

▪ Enables third party applications to access data stored in SAC

▪ Authorization using OAuth

▪ Return model metadata

▪ Push data into model

APIs

Brief roadmap



SAP Analytics Cloud and SAP Digital BoardroomProduct road map overview - key themes and capabilities

Planned Q1/2018 Product directionPlanned Q4/2017Recent innovations

Q3 2017

Data connectors

▪ Live data connectors: SAP BusinessObjects

relational Universes, SAP S/4HANA (on-

premise), SAP HANA 2.0 on-premise

▪ Level-based hierarchy for live SAP HANA

▪ API to push data into an existing model

Visualizations and calculations

▪ In-cell charts for tables

▪ Responsive pages and widgets

Predictive

▪ Smart Grouping

▪ Triple exponential smoothing

Planning

▪ Undo / redo for planning operations

▪ Mass data entry mode

▪ Currency conversion impact analysis


▪ Presentation Builder

Mobile multi-device iOS app

▪ Story and SAP Digital Boardroom

presentation viewing

Hybrid

▪ SAP Analytics Hub

▪ Integration with SAP Analysis for Microsoft

Office

Integration

▪ SDK to embed stories into web application

Data import

▪ Expand the breadth of live and imported

data sources


▪ Natural language generation

Mobile

▪ Offline

▪ Android

▪ Commenting and annotations

Planning

▪ Flow and carry forward

▪ Multi-model blending

▪ Planning sequence and batch calculations

▪ Currency as a dimension

▪ Multi-date and calculations

Predictive

▪ Professional predictive experience for data

scientists

▪ Search to Insight using natural language

Hybrid

▪ Use SAP Analysis for Microsoft Office as a

planning client

▪ Analytics Cloud Repository

Integration

▪ 3rd party infrastructure support - AWS,

Google Cloud Platform, Azure

Data connectors

▪ Import data connectors: SAP SuccessFactors

Workforce Analytics, IBM DB2

▪ Live data connectors: SAP HANA 2.0 on SAP

Cloud Platform

▪ Data blending for live SAP HANA

Data import

▪ Level-based hierarchies for imported data

▪ Asynchronous data upload

▪ Visual mapping when importing data


▪ Dynamic time and measure-based filters

▪ Dimension selection via input control

Planning

▪ Fiscal year handling

▪ Data point commenting

▪ Enhanced driver based planning and multi-

model linking


▪ Voice navigation control

▪ Collaboration services

Hybrid

▪ Launch SAP Analysis for Microsoft Office

directly from SAP Analytics Cloud

Integration

▪ User and story management APIs

▪ RESTful API

Data connectors

▪ Import data connectors: SAP Ariba

▪ Semantic enrichment for modelling

Data import

▪ Joining datasets

▪ Conformance to a shared dimension

▪ Smart Grouping of values


▪ Current date time filters

▪ IBCS certification

▪ Advanced in-cell charts for tables

▪ Story auto refresh

▪ Time as a data type (hh:mm:ss)

▪ Multi-dimensional chart filters

▪ Multiple time dimensions

Predictive

▪ Smart Discovery in stories

Planning

▪ Planning sequences

▪ Rollback historical transactions

▪ Batch data management and calculations

▪ Enhanced driver-based planning

Mobile multi-device iOS app

▪ Deep linking URLs

▪ Geospatial


Data connectivity

▪ Data integration

– Expand the breadth of live and imported data

sources

– APIs to extract data

– Enhanced API for data loading

– Semantic enrichments for modelling

– Native big data support

▪ General import enhancements

– Advanced set of data wrangling functions

▪ Additional data center support

– Google Cloud Platform, Microsoft Azure

deployment option

– Managed by SAP operations in SaaS model

only



▪ Unified filter experience for workspaces,

pages and charts

▪ Pipeline and financial prediction based on

IoT data

▪ Speech search

▪ Alert threshold manager with call to action

Product

direction

Planning

▪ Modeling

– Multi-model blending

– Currency as a dimension

– Date based calculations

▪ Planning sequence

– Flow and carry forward support

– Planning sequence batch calculations

Predictive

▪ Professional predictive experience for data

scientists

▪ Search to Insight using natural language

Mobile

▪ Offline

▪ Android

▪ Commenting and annotations


▪ Natural language generation

Hybrid

▪ Use SAP Analysis for Microsoft Office as a

planning client

▪ SAP Analytics Cloud Repository

SAP Analytics Cloud and SAP Digital Boardroom

Product direction


Bringing conversational AI to analytics

▪ Search to insight:

– Extending Smart Assist capabilities by enabling you to ask

questions about your data

– Get insights on-the-fly wherever you are

− On your notebook or mobile device

− Integrated into your messaging and office productivity

apps like Slack, G Suite, Microsoft Office and Facebook

− Continue exploration in your story

Powered by SAP CoPilot:

– SAP's digital assistant knows your preferences and role

across solutions based on the SAP Fiori experience

– Part of SAP’s conversational Artificial Intelligence and

Machine Learning foundation in SAP Leonardo, running

on SAP Cloud Platform

Product

direction



Get more information at sapanalytics.cloud!

https://www.sapanalytics.cloud/

https://www.sapanalytics.cloud/

Thank you!

Documents

HANA in Healthcare Education Series A Closer Look at SAP ... in Healthcare - A Closer... · MaxDB, MS SQL Server, MySQL, Netezza, OData, Oracle, SAP Sybase ASE, IQ, ESP, SparkSQL