Enterprise Cloud Computing - Analytics, Planning & Digital Boardroom

Enterprise Cloud Computing
Analytics, Planning & Digital Boardroom
06/01/2016 | © SAP BusinessObjects Cloud Learning Community
Author | Jothi Periasamy

Powered By
SAP BusinessObjects Cloud & SAP HANA
Analytics,Planning&DigitalBoardroom
Author | Jothi Periasamy

Topics Covered
o Path to Implement & Adopt Cloud for Analytics
o What is Cloud for Analytics?
o What is SAP Cloud for Analytics?
o SAP Cloud for Analytics Core Capabilities
o SAP Cloud for Analytics Business Benefits
o SAP's Strategy and Roadmap for Cloud for
Analytics
Table of
Contents
SAP Cloud for Analytics Author
Jothi Periasamy

Topics Covered (Contd.)
o SAP Cloud for Analytics - Business Case
o SAP Cloud for Analytics - Architecture
o SAP Cloud for Analytics - Data Access & Data
Provisioning
o SAP Cloud for Analytics - Planning,
Forecasting, Budgeting/Allocation
o SAP Cloud for Analytics - Modeling
Table of
Contents
Jothi Periasamy

Topics Covered (Contd.)
o SAP Cloud for Analytics - Digital Boardroom
o SAP Cloud for Analytics - Stories (Storyboard)
o SAP Cloud for Analytics - Files
o SAP Cloud for Analytics - Users and Security
o SAP Cloud for Analytics - Deployment
o SAP Cloud for Analytics - Connection
o SAP Cloud for Analytics - System
Table of
Contents
Jothi Periasamy

Objective: This is my first attempt to bring practical business insights on SAP’s Cloud for Analytics
(C4A) platform and also demonstrating the key implementation steps to deploy analytics on cloud from
concept to realization.
Goal: Empower mainstream enterprise users to develop self-servicing analytics, planning, budgeting &
forecasting solutions on cloud using SAP BusinessObjects Cloud Computing Platform.
Vision: Make business to quickly realize the measurable business values of SAP BusinessObjects Cloud
Simplify SAP BusinessObjects Cloud Implementation
Reduce the Implementation Cost of SAP BusinessObjects Cloud Implementation
Make SAP BusinessObjects Cloud Implementation Processes as a Repeatable Processes
Objective, Goal and Vision
Jothi Periasamy

Let’s Set Clear Expectation
What is in scope and what is not in scope?
SAP changed the name or the terminology from “SAP Cloud for Analytics” to SAP BusinessObjects
Cloud. In this posting, we are referring “SAP Cloud for Analytics” which is nothing but SAP
BusinessObjects Cloud
In this posting, I am strictly focusing on designing, developing and delivering analytics & planning on
cloud. I am not addressing anything around hardware infrastructure or a technical platform on cloud.
Please feel free to contact me directly for anything related to hardware or infrastructure(PaaS)
Jothi Periasamy

Path to Implement & Adopt C4A
What would be the Best and Risk Free Path to Implement and Adopt Analytics on Cloud?
Cloud for Analytics is an evolving area, so the first step in implementing cloud for analytics would be
learning the fundamentals and understanding the key concepts, framework, architecture and building
blocks of cloud for analytics solution. The following section describes the required key steps to implement
and adopt SAP's cloud for analytics solutions.
Table of
Contents
Readiness and Awareness
Implementation Planning
Design and Build
Deployment and Support
Jothi Periasamy

Path to Implement & Adopt C4A (Contd.)
Path for
C4A
Jothi Periasamy

What is Cloud for Analytics?
Cloud for Analytics, an on-demand software typically accessed by users using web browser (but not limited
to browser, can also be accessed via any handheld device, Web RDP, etc.). Cloud for Analytics combines
the Software as a service (SaaS) and analytics as a service(AaaS) delivery model, the SaaS model
provides software services (ex: licensing, tools, templates, API’s, system interfaces, security, maintenance,
support, etc.), the AaaS model provides pre-built analytics, templates and solutions (ex: capital planning and
forecasting, project spend vs. project benefits, vendor performance score card, etc.). Cloud for Analytics
enables designing, developing, testing, delivering, securing, collaborating and maintaining analytics on
cloud, users should be able to perform these functions from anywhere and everywhere - all you need is just
an internet connection and a PC/handheld device to perform these tasks. Some of the leading vendors and
their analytics products that’s are offered on cloud platform for enterprises and business users (a) SAP
Lumira Cloud (b) Microsoft's Power BI (c) IBM Watson Analytics (d) Qlik Sense Cloud (e) Tableau Online
and others.
C4A = SaaS + AaaS
Jothi Periasamy

What is SAP Cloud for Analytics (SAP BusinessObjects Cloud)?
As always, SAP brings enterprise view and business perspective to Cloud for Analytics, SAP
integrates the SaaS and AaaS platform together on HANA cloud as a single platform. SAP
delivers real business solutions to organizations from day one of customer engagement
through their existing business content such as finance, supply chain, sales, marketing,
human resources and others.
SAP Cloud for Analytics installed on SAP HCP (HANA Cloud Platform) infrastructure. Users
won’t be able to run any other services on the HCP instance that has been used for SAP
Cloud for Analytics.
SAP Cloud for Analytics user interface (UI) is based on HTML5 and SAP UI5
SAP Cloud for Analytics updated every 2 weeks
SAP's C4A = SaaS + AaaS + HCP
Jothi Periasamy

What is SAP Cloud for Analytics (SAP BusinessObjects Cloud)? (Contd.)
Jothi Periasamy

SAP C4A Core Capabilities
Core Functionality: SAP's cloud for Analytics offers several tools and best practices to enable enterprise
scale (a) reporting (b) big data analysis (c)predictive analytics and (d) planning, forecasting and budgeting
(e) digital boardroom (f) GRC access control functionality on the cloud
Development Approach: Users should be able to (a) design (b) develop (c) test (d) deploy (e) secure
and (d) manage business analytics on the SAP cloud for analytics
Data Source & Source Systems: With the power of SAP S/4 HANA and SAP HANA VORA, users should
be able to provision data from any sources such as (a) SAP source systems (b) non SAP source systems
(c) machine/sensor source (d) HADOOP/HDFS (e) SPARK and (f) social and other sources
Support for on Cloud and on Premise: With the power of SAP HCP, SAP cloud for Analytics supports
both on cloud and on premise data sources, business should be able to bring data from any data source
into analytics - Your business cloud data source could be in AWS, Google, IBM, Microsoft and other cloud
service providers
Jothi Periasamy

SAP C4A Core Capabilities (Contd.)
In-memory Data Access: SAP S/4 HANA in-memory capabilities enables business to reference the data
for analytics and also import the data for analytics
Multi User Collaboration: SAP cloud for analytics provides collaborative development environment where
users from different geographical location and business functions can work and collaborate together
SAP cloud for analytics supports IoT, Big Data and Data Science
Jothi Periasamy

SAP C4A Core Capabilities (Contd.)
Launch Pad
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Enterprise Cloud Computing Overview
Where to start my cloud computing journey?- Can I start with my Application team, my Analytics team,
or both or others ....
I am certain that your enterprise cloud computing strategy and roadmap will look deeply into these Cloud
Computing categories. From cloud transition perspective, start with one or two cloud computing categories
(ex: PaaS, SaaS, etc.) and then move on to the other categories. Adopting cloud computing and maturing on
cloud computing may take some time but we need to start somewhere.
Start your cloud computing journey from SAP BusinessObjects Cloud (Software as a Service – SaaS), SAP
BusinessObjects Cloud brings enterprise view to business and it empowers business to quickly deliver the
key critical business processes (ex: revenue analysis, cost analysis, volume prediction, target marketing,
vendor performance, inventory ratio, where house productivity, bill of materials, leads ,planning, budgeting
and forecasting) on cloud.
Get Started with SAP BusinessObjects Cloud - It’s Easy, Simple, Flexible, Quicker,
Cost Effective and Adoptable
Jothi Periasamy

Enterprise Cloud Computing Overview (Contd.)
Jothi Periasamy

SAP C4A Business Benefits
What Business Value Customer should be Realizing after Implementing SAP C4A?
Instant Insights: SAP cloud for analytics provides instant insights to business and real-time response to
market demand
Pay by Usage: SAP cloud for analytics delivers a risk free on demand subscription model, there is no
upfront investment on the software, hardware infrastructure
Value Realization From Day One: Enables business to realize the measurable analytics values from day
one without investing any resource, time and cost to build a development environment
Integrated BI & EPM Platform: SAP cloud for analytics provides a single integrated platform for BI
(reporting & analytics) and EPM (planning & forecasting) - Enables to business to compare real time
variance on spend, plan, forecast and actual
Business Content: SAP cloud for analytics comes with pre-built business content, best practices and
design guidelines
Jothi Periasamy

SAP C4A Business Benefits (Contd.)
Highly Secured: SAP cloud for analytics a highly secured platform and it has a built in data access and
object access controls - out of the box authentication and authorization
Supports all Type of Cloud - Public cloud, Private cloud and Hybrid cloud
Reduces the cycle time, cost, resources, risks and technical complexity
Jothi Periasamy

SAP C4A Business Benefits (Contd.)
Jothi Periasamy

SAP Strategy and Roadmap for SAP C4A
What is SAP’s Future Direction for C4A and also What will Happen to Existing SAP BI Solutions?
In this section, we are able to answer the following key questions from the future state of SAP’s cloud for
Analytics platform
1. What are the core functions that SAP planning to offer in the future release of their cloud for Analytics
platform?
2. In the future, what data sources and source systems that SAP is planning to support for their cloud for
Analytics platform?
3. What happens to the existing SAP’s BI and EPM products and solutions?
4. What happens to customer’s existing SAP’s BI and EPM applications that the customer already
developed?
Jothi Periasamy

SAP Strategy and Roadmap for SAP C4A ( Contd.)
In the future, SAP may combine their BI, EPM and analytics products into a single cloud for
analytics solution.
Jothi Periasamy

SAP Strategy and Roadmap for SAP C4A ( Contd.)
Jothi Periasamy

SAP C4A Business Case
How to Choose the Best Business Case to Implement Analytics on Cloud?
C4A is not a migration or upgrade path, it’s a starting point for new cloud Analytics projects. C4A doesn’t
replace customers on premise Analytics investment: Lumira, BI Suite, BPC, Predictive, GRC. We
continue to invest and innovate here. Since C4A is a new cloud for Analytics projects, the first step for
C4A project is choosing a well aligned business cases, the business case could from finance, supply
chain, human resource or combination of all and others.
Most of the SAP customers are new to C4A, so it’s better to start with something small and then learn
and grow your C4A. We strongly recommend to choose a business case which is well aligned with
business goals and objectives so that you can quickly measure the ROI and the business values of
C4A. The first step is choosing the more impactful business functions (Ex: Finance, Supply Chain, etc.)
and Implement adoptable Analytics functions (Ex: BI, EPM, etc.)
Key Takeaways
Choose the most impactful business functions to be on cloud
Implement adoptable analytics functions to be on cloud
Jothi Periasamy

SAP C4A Business Case (Contd.)
Jothi Periasamy

SAP C4A Architecture
How to Architect Analytics Solutions on Cloud?
Architecting a Cloud for Analytics solution is the most critical and challenging task, there are
several architectural options to choose and many architectural areas to analyze while
architecting. At a high level, architecting SAP cloud for analytics solution includes the following
key areas but not limited to the following
Technical Architecture
System Landscape Architecture
Data Architecture
Analytics Architecture
Security Architecture
Leading Practices
For flexible and optimal design, SAP provides many options to choose and several best practices
to adopt. Before architecting, make sure you finalize your business functions and analytics
capabilities, without a clear view on the following two points it would be very difficult to
architect cloud for analytics solutions.
Jothi Periasamy

1. What business functions (ex: Finance, Supply Chain, etc.) you wanted to bring it on the cloud?
2. Analytics functions (ex: BI, EPM, etc.) you wanted to implemented on the cloud?
Based on the current release (1.0.4) there are about ten core building blocks that SAP provides to
architect a cloud for analytics solutions, let’s review each one of the SAP C4A application architecture
building blocks in detail -
1. Molder
2. Allocation
3. Stories
4. Digital Boardroom
5. Files
6. Events
7. Users
8. Deployment
9. Connection
10. System
SAP C4A Architecture
Jothi Periasamy

SAP C4A Architecture (Contd.)
Jothi Periasamy

Data Access & Data Provisioning on Cloud
• How to Access and Provision Data to Deploy Analytics on Cloud?
In this section, we are attempting to answer the following key questions from the cloud for analytics &
planning implementation perspective
What would be the data pipeline for SAP cloud for analytics?
What are the options to provisioning data for SAP cloud for analytics?
What are the options to access data from the source system to SAP cloud for analytics?
What is the difference between import and online data provisioning method?
What is the best options to access and provisioning data?
SAP cloud for analytics enables provisioning data from any source, data can be accessed either from
direct access method or from indirect access methods, and it supported data source includes (a) SAP
source systems (b) non SAP source systems (c) machine/sensor source (d) HADOOP/HDFS (e) SPARK
and (f) social and other sources. SAP cloud for analytics supports both on cloud data source and on
premise data sources, there are two options to bring the data from the data source to SAP cloud for
analytics
Jothi Periasamy

Data Access & Data Provisioning on Cloud (Contd.)
Data Provisioning Method #1 - Import Data Method, under this import method we are physically
moving data from the data source to the SAP cloud for analytics. Example, users should be able to
import data on cloud from SAP BW, SAP BPC, SAP ERP, SAP BOBJ Universe, Google
Cloud, Success Factors and Files. - Data is on Cloud
Data Provisioning Method #2 - Online Data Method, under this online method we are not physically
moving data from the data source to the SAP cloud for analytics. This is a virtual data access method
using SAP S/4 HANA capabilities- Data is on Premise (but data will be accessed /referenced on
cloud using SAP HANA in-memory technology)
Data Accessing Method #1 - Indirect (SAP HANA Information Model) Method under this method
users should be able access the data using SAP HANA's data accessing capabilities - Example should
be able to access the data from the source system such as Oracle, Microsoft, HADOOP, etc. using SAP
HANA SDA (smart data access) data accessing capabilities
Jothi Periasamy

Data Accessing Method #2 - Direct Access Method, under this method users should be able to
directly access the data from the source systems such as Oracle, Microsoft in this option we are not
leveraging SAP HANA data accessing capabilities, we will be using source system vendor
provided/supported API's/Drivers (ex: ODBC,JDBC, etc.)
Key Takeaways and Architectural Design Consideration - Choosing right data accessing path and
data provisioning method is a most critical decision that business has to make. Data provisioning on
the cloud is the foundation to built analytics on the cloud. "Based on our lessons learned in
building analytics on cloud, accessing data using SAP HANA data provisioning capabilities
would be more stable and manageable and also using SAP HANA we can access data without
physically importing data on cloud"
Jothi Periasamy

Jothi Periasamy

Planning, Forecasting, Budgeting and Allocation on Cloud
Within an enterprise software space, SAP cloud for analytics is the first platform in the globe which
combines both the BI and EPM solutions together as a single solution on cloud. It empowers business
with simplification, data sets (actual, plan, forecast, budget), planning functions and analytics. From
planning perspective, business users should be able to plan, forecast and budget for any business
functions at any level, for example
1. Sales Planning at SKU Level
2. Gross Margin Planning at SKU Level
3. Opportunities Planning at SKU level
4. S&OP Planning at Product Level
5. Labor Forecast at Cost Center Level
6. Liquidity Planning at Entity Location Level
7. Budget Allocation at Cost Element Level
… So, business should be able to implement any type of planning, forecasting and
budgeting on cloud - there is no limitation but users’ needs to know “how to implement
this on cloud”
Jothi Periasamy

Benefits of Delivering BI and EPM Together on Cloud
Data plays a key role in an effective BI and EPM solutions, by combining both BI and EPM together on a
single platform ( SAP Cloud for Analytics on HCP) business should be able address the entire data
management challenges. This integrated solution combines all the data sets together - Combined Data Sets
(Actual Data, Plan Data, Forecast Data, and Budget Data)
Combined Data Sets empowers business in many ways and it delivers several business values, including
Planning, Forecasting, Budgeting and Allocation on Cloud (Contd.)
Jothi Periasamy

#1. Enables real-time variance analysis as and when any variance occurs (ex: Budget Variance, Revenue
Variance, Cost Variance, etc.)
#2. Converts the scenario based planning vision to an actions (ex: What will happen if the COGS reduced by
2% on the actual)
#3. Brings fact based forecasting into forecasting process (ex: instead of forecasting on random numbers,
forecast on your “actual’s” data pattern)
#4. Centralized, simplified and unified platform for planning, budgeting, forecasting, reporting and analytics
#5. Reduces cycle time in service delivery and also reduces the cost, risk and solution development effort
#6. much more ...
Jothi Periasamy

Jothi Periasamy

Modeling on Cloud
What is Models and How to Design, Develop, Test and Deploy Models on the Cloud?
Models are the foundation for Cloud for Analytics, a well aligned Model enables optimal design to
implement analytics. Model connects your problem statement and your strategic goals and objectives to
your data sets such as dimensions, key figures and measures. Having a common model for planning,
forecasting, budgeting and analytics empowers business to quickly realize the measurable variances
on your operations along with your strategic goals and objectives measures. Models are created on top
of your data source, your data source could SAP, non SAP, file, HADOOP, machine and sensor. On the
model, you can either reference (in-memory) data from a data source and/or you can import the data
for analytics.
Jothi Periasamy

Modeling on Cloud
Key Takeaways
Develop a common models for your data science, analytics and EPM (planning, budgeting and
forecasting) needs
Models should be simple, flexible, extendable and manageable
Do not create too many models with redundant dimensions, key figures and measures
Organize your models based on business functions and problems that you are going to solve
Models should enable self-servicing functionality for business users to analyze data on cloud
Enable security controls on your models before exposing the models to the model consumers
Finally, Modeling is an Art, not a Science. To develop a good model, you really need
to know your business and industry well – always connect your models with your
business and make sure your models well aligned with your problem statement
Jothi Periasamy

Modeling on Cloud (Contd.)
Jothi Periasamy

Digital Boardroom on Cloud
What is SAP's Digital Boardroom and How to Deliver Digital Boardroom on Cloud?
SAP Digital Boardroom empowers C-level executives with real-time contextual information and
ad-hoc analysis. SAP Digital Boardroom built on SAP Business Objects Cloud, this next-
generation board portal leverages SAP S/4 HANA Lines of Business data to provide a single
source of truth for the company.
Real-time view of company situations and key figures across departments
Simplify the boardroom process
Reduce boardroom preparation time
Boardroom collaboration tools to leverage expert knowledge
Jothi Periasamy

Digital Boardroom on Cloud (Contd.)
Jothi Periasamy

Stories (Storyboard) on Cloud
What is SAP's Stories and How to Develop Storyboard on the Cloud?
From business perspective, “Stories”, a extremely powerful and critical functionality, Stories enables data
exploration on cloud using data that comes from variety of sources (ex: File, Model, Other Stories, etc.).
Using Stories users should be able to perform the following key functionality but not limited to the
following
#1. Ask Business Questions on Data
#2. Answers Business Questions Using Data
#3. Combine Multiple Data Sets in Real-time
#4. Define Measures, KPI’s and Dimensions
#5. Apply Filters, Groups, Aggregations and Variables
#6. Use Drag and Drop Approach
#7. Creates Interactive Charts and Reports
#8. Export Analysis to Files and Data Sources
#9. Explore Data Iteratively
#10. Review Data Trends & Outliers, and Others
Stories = Simple, Easy and a Quick Way to Realize an Insight on any Data
Jothi Periasamy

Stories (Storyboard) on Cloud (Contd.)
Jothi Periasamy

File Management on Cloud
What are the Core Capabilities for SAP Cloud for Analytics “Files” Functionality?
Even though we work on cloud, as a user we should have an option to export and import data using files. SAP
cloud for analytics file management (called “Files”) future allows business users to seamlessly bring any local
and external (both on cloud and on premise) files into the cloud development environment. Also, users should
be able to collect data in the form of “data input form
File Sharing and Collaboration: SAP cloud for analytics file management function allows users to share files
with others either in a private mode or in a public mode and collaborate with other users.
Working Offline: As especially during planning or budgeting or forecasting cycle, the planning, budgeting and
forecasting users should be able to leverage this file management future to upload their offline work such as
offline planning/forecasting/budgeting excel file (“data input form”) to the cloud infrastructure.
Jothi Periasamy

File Management on Cloud (Contd.)
Jothi Periasamy

Users and Security Management on Cloud
How to Implement Application Authentication and Authorization on Cloud?
To implement authentication and authentication on cloud, SAP cloud for analytics provides several
functions such as Users, Teams, Roles, Requests, Data Changes and Activities.
Encryption : Yes, SAP Cloud for Analytics supports industry standard encryption SHA-256 and
AES-256 hashing/encryption. What Data Encrypted? : Within Cloud for Analytics data is encrypted
using HANA volume encryption.
Active Directory (AD): Yes, SAP Cloud for Analytics supports AD.
Single Sign on (SSO): Yes, SAP Cloud for Analytics supports SSO.
Cloud Identity Service (SAML): YES, SAP Cloud for Analytics supports SAML
Jothi Periasamy

Core Capabilities:
1. User Management
2. SSO & Authentication
3. Role Management
4. Team Management
5. Data Access Control
6. File Permissions
7. Audit Logs
8. System Monitoring
Sample Roles
1. Admin
2. Modeler
3. Planner
4. Viewer
5. Reporter
6. BI Content Creator
7. BI Content Viewer
8. HCP Content Creator
9. HCP Content Viewer
Can other SAP HCP application use SAP Cloud for Analytics visualizations? - Yes, SAP
provides API’s to enable embedding of Cloud for Analytics content
Jothi Periasamy

Jothi Periasamy

Deployment on Cloud
On Cloud, How to Move Objects, System Artifacts, Application Artifacts, Security Artifacts and
Data from one Environment to other Environment (ex: DEV to QA)?
Using SAP Cloud for Analytics “Deployment” functionality users should be able to move objects,
data and files from one (development) environment into other (quality) environment. SAP allows
users to perform these functions in two ways as follows
#1. Export objects from the source environment to a local file and then Import the file in the target
environment
#2. Export objects from the source environment to a system transport process then Import the
transport request in the target environment
Jothi Periasamy

Deployable Objects:
a. Models
b. Planning Templates
c. Allocation Rules
d. Currency Translation Procedures
e. Story
f. Digital Dashboard
g. Security Model (Users, Roles, Teams, etc.)
h. Files
i. Connection
j. System Artifacts
k. Events and Audit Log
Deployment on Cloud
Jothi Periasamy

Deployment on Cloud (Contd.)
Jothi Periasamy

Jothi Periasamy
Deployment on Cloud (Contd.)

Data Source Connectivity on Cloud
Under What Option Users Should be able to Establish Connection to Either an on Cloud Data
Source or an on Premise Data Source?
SAP Cloud for Analytics “Connection” functionality is one most critical area to address while
designing and architecting either a planning or an analytics solution. I had already addressed the
connection related details under the data provisioning and data access section – kindly refer my
previous section for more deeper insights There are two key important points to consider while
defining the data source connection, (1) where you wanted to keep your data for analytics
(ex: On Cloud or On Premise)? , (2) where you wanted to store your planning data (ex: On
Cloud or On Premise)?
Data on Premise: if you wanted to keep your data on premise, then use “Live” data
connection option. Under these options, data will be referenced as an in-memory object on
cloud.
Data on Cloud: if you wanted to keep your data on cloud, then use “Import” data connection
option. Under these options, data will be referenced as an in-memory object on cloud.
SAP HANA capabilities plays a significant role in both the options - Data on Premise and
Data on Cloud- so, architecting SAP HANA capabilities along with SAP cloud for analytics is
the key for implementing critical data management functionalities
Jothi Periasamy

Jothi Periasamy
Data Source Connectivity on Cloud (Contd.)

System Administration on Cloud
How to Monitor System Usage (Pay by Usage) and also Manage System Resources on Cloud?
The SAP Cloud for Analytics “System” functionality allows users to manage the system
usage and also users should be able to administer the system configuration.
The system usage function will track the system usage by user, including data access,
memory usage, and system up time, etc. Technically the system usage has direct
connection with your licensing agreement with SAP.
The administration functionality allows system administrators to configure and manage
the system configuration such as host, port, job, content, etc.
In real-world, business has to appoint someone for this role as a dedicated resource,
and this role expected to know system and application interoperability, security and
ability to install and configure systems on the cloud.
Jothi Periasamy

Jothi Periasamy
System Administration on Cloud (Contd.)

My POV on the Future of SAP Cloud for Analytics
Cloud for Analytics a Single Platform:
Based on my observations on industry trends, business priorities and CIO’s spending patterns, I strongly
believe that the SAP cloud for analytics will play a significant role in the future IT portfolio. Also, the data &
analytics landscape will be a much more simplified landscape and it will be deployed as a centralized single
landscape regardless of the tools, technologies and vendor solutions that has been currently used.
Cloud for Analytics an Integrated Solutions:
SAP S/4 HANA brings transactions and analytics together on a single platform, combining the power of SAP
cloud for analytics with SAP S/4 HANA, business should be able to deliver any BI and EPM solution an
integrated solution to analyze the operational efficiency while predicting the future.
Jothi Periasamy

Cloud for Analytics a Simplified Transition:
From SAP customer perspective, SAP provides several tools, best practices and supporting processes to
migrate your existing current BI and EPM solutions to cloud. So, migrating to SAP cloud for analytics may not
be a challenging and risky task, it will be a simplified smooth transition if you do it with the approach and
methodology that SAP recommends.
My POV on the Future of SAP Cloud for Analytics
Jothi Periasamy

Jothi Periasamy
Thank You !
Jothi
Periasamy

Enterprise Cloud Computing - Analytics, Planning & Digital Boardroom

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