Transcript

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

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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Author | Jothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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

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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

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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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

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� 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

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� 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)

SAP Cloud for Analytics AuthorJothi Periasamy

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� 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

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� Path to Implement & Adopt C4A (Contd.)

Path for C4A

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� Path to Implement & Adopt C4A (Contd.)

Path for C4A

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� 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

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� 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

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

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

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

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� 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

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� 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

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� 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

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� Enterprise Cloud Computing Overview (Contd.)

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� Enterprise Cloud Computing Overview (Contd.)

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� 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

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� 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

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� SAP C4A Business Benefits (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

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� SAP C4A Business Benefits (Contd.)

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� 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?

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� 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.

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� SAP Strategy and Roadmap for SAP C4A ( Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

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� SAP Strategy and Roadmap for SAP C4A ( Contd.)

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� SAP Strategy and Roadmap for SAP C4A ( Contd.)

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� SAP Strategy and Roadmap for SAP C4A ( Contd.)

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� 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

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� SAP C4A Business Case (Contd.)

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� 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.

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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. Molder2. Allocation

3. Stories4. Digital Boardroom

5. Files6. Events

7. Users8. Deployment

9. Connection10. System

� SAP C4A Architecture

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� SAP C4A Architecture (Contd.)

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� SAP C4A Architecture (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

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� SAP C4A Architecture (Contd.)

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� 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

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� 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

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� 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"

� Data Access & Data Provisioning on Cloud (Contd.)

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� Data Access & Data Provisioning on Cloud (Contd.)

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� Data Access & Data Provisioning on Cloud (Contd.)

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� Data Access & Data Provisioning on Cloud (Contd.)

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� 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 Level3. Opportunities Planning at SKU level

4. S&OP Planning at Product Level5. Labor Forecast at Cost Center Level

6. Liquidity Planning at Entity Location Level7. 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”

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Benefits of Delivering BI and EPM Together on CloudData 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.)

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#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 ...

� Planning, Forecasting, Budgeting and Allocation on Cloud (Contd.)

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� Planning, Forecasting, Budgeting and Allocation on Cloud (Contd.)

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� Planning, Forecasting, Budgeting and Allocation on Cloud (Contd.)

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� Planning, Forecasting, Budgeting and Allocation on Cloud (Contd.)

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� Planning, Forecasting, Budgeting and Allocation on Cloud (Contd.)

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� 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.

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� 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

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� Modeling on Cloud (Contd.)

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� Modeling on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� Modeling on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� Modeling on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� 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

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� Digital Boardroom on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� Digital Boardroom on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� Digital Boardroom on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� 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

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� Stories (Storyboard) on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� Stories (Storyboard) on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� Stories (Storyboard) on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� Stories (Storyboard) on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� Stories (Storyboard) on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� Stories (Storyboard) on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

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� 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.

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� File Management on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� 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

SAP Cloud for Analytics AuthorJothi Periasamy

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� Core Capabilities:1. User Management2. SSO & Authentication

3. Role Management4. Team Management

5. Data Access Control6. File Permissions

7. Audit Logs8. System Monitoring

� Sample Roles1. Admin2. Modeler

3. Planner 4. Viewer

5. Reporter6. BI Content Creator

7. BI Content Viewer8. 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

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

SAP Cloud for Analytics AuthorJothi Periasamy

� Users and Security Management on Cloud

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SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

� Users and Security Management on Cloud

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SAP Cloud for Analytics AuthorJothi Periasamy

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� Users and Security Management on Cloud

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� 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

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� Deployable Objects:a. Modelsb. Planning Templates

c. Allocation Rulesd. Currency Translation Procedures

e. Storyf. Digital Dashboard

g. Security Model (Users, Roles, Teams, etc.)h. Files

i. Connectionj. System Artifacts

k. Events and Audit Log

� Deployment on Cloud

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� Deployment on Cloud (Contd.)

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

� Deployment on Cloud (Contd.)

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� 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

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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06/01/2016 | © SAP BusinessObjects Cloud Learning Community

SAP Cloud for Analytics AuthorJothi Periasamy

� Data Source Connectivity on Cloud (Contd.)

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� 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.

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

� System Administration on Cloud (Contd.)

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SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

� System Administration on Cloud (Contd.)

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� 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.

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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� 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

SAP Cloud for Analytics AuthorJothi Periasamy

06/01/2016 | © SAP BusinessObjects Cloud Learning Community

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06/01/2016 | © SAP BusinessObjects Cloud Learning Community

SAP Cloud for Analytics AuthorJothi Periasamy

Thank You !

Jothi Periasamy

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