The presentation discusses SAP's strategy and roadmap for SAP Data Services and SAP Information Steward, including plans to release new versions called SAP Data Services 2024 and SAP Information Steward 2024 to extend support for on-premise deployments through 2030, as well as options for deploying these solutions on private clouds managed by SAP.

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Agenda
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Sneak Peek to the future: SAP Data Services
SAP Data Services Governance Challenges
and how to overcome them
How SAP Ariba successfully centralized,
documented and monitored ETL jobs and
metadata

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SAP Data Services &
Information Steward Path
Global COE
January 2023

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The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of 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 materially 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

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PUBLIC
© 2021 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Analyze all your data to
accelerate insights and
transform the data you have
into the answers you need
ANALYTICS
Data is the fuel propelling
intelligent technologies
forward – optimizing
processes, and igniting
innovation
INTELLIGENT
TECHNOLOGIES
Integrate and extend
applications – build new
ways to access and
interact with your data
APP DEVELOPMENT
AND INTEGRATION
Capture, manage,
and govern your data to
drive better business
outcomes
DATABASE
AND DATA
MANAGEMENT
Stratregic Vision
SAP Business Technology Platform: The Platform for the Intelligent Enterprise
Cloud Platform Enterprise Agreement
SAP Analytics Cloud
SAP Data Intelligence
Cloud
SAP HANA Cloud
SAP Data Warehouse
Cloud

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SAP Analytics Cloud
Business Intelligence, planning and predictive analytics
SAP Data Warehouse Cloud
Self-service modeling, data democratization, end-to-end data warehouse
SAP Data Intelligence
Cloud
SAP HANA Cloud
Data Management (memory, disk, lake), federation and replication
Augmented Analytics
Business Intelligence Enterprise Planning
Data & Business Layer Spaces
Multi-model Engine Tiered Data Storage
Data Catalog
Orchestration
Integration
Data
Flow
Unified Data & Analytics powered by the SAP Business Technology Platform
More agility in your data and analytics landscape

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SAP Data Warehouse Cloud
Self-service modeling, data democratization, end-to-end data warehouse
SAP Data Intelligence
Cloud
SAP Analytics Cloud
Business Intelligence, planning and predictive analytics
Augmented Analytics
Business Intelligence Enterprise Planning
Data & Business Layer Spaces
SAP HANA Cloud
Data Management (memory, disk, lake), federation and replication
Multi-model Engine Tiered Data Storage
Data Catalog
Orchestration
Integration
Data
Flow
Data Management in the SAP Business Technology Platform

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We are committed to
support our DS and IS
customers in the long run
First and foremost…

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SAP Data Management Evolution
❑ As we define the future of SAP Data Management portfolio, current on-premise SAP Data Services and
SAP Information Steward customers can leverage all their existing investments and efforts while also
extending the reach of their data management to the cloud, with SAP Data Intelligence
❑ In 2021 we added the hybrid data management capabilities that enables, existing SAP Data Services and
SAP Information Steward setups for all native sources and workloads that are still relevant, for all the
time they will still be in use, without requiring any rip and replace nor migration. Additionally, implement all
new cloud hybrid, or big data-oriented workloads, including data streaming and data pipelining on SAP
Data Intelligence, and seamlessly extending, and reusing existing DS and IS workloads.
❑ In 2022 we did a minor version upgrade of SAP Data Services and Information Steward to 4.3, allowing
the compatibility with BusinessObjects 4.3. As a result, our support policy extended the end of
mainstream maintenance timeline to end of 2025 and priority 1 support to end of 2027 for both SAP Data
Services and SAP Information Steward. W
❑ With the mainstream maintenance of version 4.3 of SAP Data Services and SAP Information Steward
suite ending in 2025, we do not want to leave our large customer base behind, and therefore we have
decided to release an updated version, code named SAP Data Services 2024 and SAP Information
Steward 2024 to provide more time to our on-premises customers to adopt our rapidly evolving,
state-of-the-art cloud data integration scenarios.

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❑ We are planning to release a new version of the SAP Data Services and SAP Information Steward in 2025
code named SAP Data Services 2024 and SAP Information Steward 2024
❑ available on-premises and through managed cloud,
❑ Focused on the most widely adopted on-premise scenarios: SAP Data Services and SAP Information
Steward for native ETL, Data Quality and Data Governance,
❑ Existing architecture and component map will be followed including Designer, repository, Job Server,
supported web applications and BI module
❑ Compatible with proposed SAP BusinessObjects BI 2024 suite
❑ We will provide clear use case migration paths for the components for which we plan the end of support
beyond 2027
❑ Our intention is to only support Windows and Linux platforms
❑ No change is anticipated in the Hybrid Data Management capabilities with Data Intelligence cloud
SAP Data Services 2024 and SAP Information Steward 2024

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Deployment Options
Private Cloud Edition
With SAP Data Services and SAP Information Steward, private cloud edition, we offer:
❑ A predefined package operated by SAP on the main cloud platform providers, including
❑ Software
❑ Support
❑ Technical managed services
❑ Infrastructure
This is a great opportunity to shift from a maintenance contract to a subscription model while leveraging your
existing investments in SAP Data Services and SAP Information Steward solutions.
Key benefits:
❑ The latest version of SAP Data Services and SAP Information Steward is always available, thanks to yearly upgrades,
❑ 3-tier landscape: development/test, quality assurance and production by default, with optional additional tiers,
❑ Pre-configured hardware landscapes optimized for performance,
❑ Choice of cloud platform providers infrastructure includes AWS, Google Cloud Platform, Microsoft Azure,
❑ End-to-end SLA 99.7%, backup and restore included within standard service scope,
❑ In the future, customers will continue to have the choice for their infrastructure for SAP Data Services and SAP
Information Steward solutions, either on-premises or in a managed cloud operated by SAP.

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Our commitment
We know that many customers rely on SAP Data Services and SAP Information Steward solutions for critical use
cases and will need to do so beyond 2025. Therefore, we are planning to release a new version in the first half of
2025, code named SAP Data Services 2024 and SAP Information Steward 2024, respectively, that will extend
the maintenance timeline for on-premise use cases. Although it is a long time from now, but we have plans to
extend the mainstream support through 2030 and priority 1 through 2032
As we did for the upgrade to version 4.3, we will make sure that the upgrade to the new release is as smooth as
possible and will provide enough overlap so that each customer can upgrade at their own pace. This new
release will be an opportunity for us to continue the modernization started in version 4.3 (user experience, latest
3rd party components versions, system library updates) and streamline the ETL, Data Quality and Data
Governance to the core requirements of our active user base
In the meantime, and as version 4.2 reaches end of mainstream maintenance at the end of May 2023 –
followed by priority one support until end of December 2024 – we strongly recommend all customers to upgrade
to version 4.3 to benefit from the latest features, up-to-date platforms, connectivity, and security standards.

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The following are planned to be removed from SAP Data Services 2024:
❑ AIX and Solaris operating systems
❑ Application layer connectivity of reduced market share applications
❑ Java based adapters for which we have already provided native
connectivity
Product Rationalization Strategy

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SoD Blog
For more…
Help us fine tune our roadmaps of SAP Data Services and SAP Information
Steward by providing your input through the dedicated inboxes respectively:
SAP Data Services: sap.dataservices@sap.com
SAP Information Steward: sap.informationsteward.enhance@sap.com

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QUESTIONS?

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Thank you.
Patrick Sims
Global COE, BTP Customer Success, Data & Analytics
patrick.sims@sap.com

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The Problems
BODS is a Black Box. => Complex to monitor, manage & maintain
● Limited access to metadata (No BI on ETL capabilities)
● Developer tool, not usually accessible to non technical people
(managers/business)
● Offers only fixed (manually-generated PDF) documentation or interactive
exploration
● Only shows the current state. Limited historical information
● No reporting capabilities
● Time-consuming and transitory analysis capabilities

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The Challenges
● Inability to document what is going on
● Inability to document changes over time
● Inability to compare repositories
● Difficulty to locate performance bottlenecks
● Difficulty to find specific components (e.g.: contents of scripts, SQL
transforms)
● Difficulty to understand impact of changes (e.g.: DB changes and DS
affected)
● Inability to provide a holistic view of what is going on

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Impacts
Visibility: No BI on ETL capabilities.
Trust: Jobs, workflows, etc. Changes overtime and it is hard to determine where
the problems are coming from
TCO: More resources are needed to maintain the application performances:
limited visibility on bottlenecks
● Disconnect with managers/business
● Distracting developers from their main job to provide information about
performance/changes/contents
● Lack of proactive monitoring, trend analysis
● Ineffective use of human and system resources. Higher TCO
What happens in Data Services stays in Data Services! (Until 360)
DS developers are the only ones who have knowledge of what is going on within
Data Services

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Easily Aggregate And Centralize The Metadata
Stored In SAP BOBJ & Data Services
360Eyes for SAP
BusinessObjects extracts
metadata from : BOBJ'CMS,
Auditor and FileStore.
360Eyes Data Services
extracts metadata such as:
Query transforms, Data
stores
Projects, Workflows, Data
Flows, Sources, targets,
Query mapping, SQL Query,
Job scheduling and
performance

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Explore SAP Data Services metadata

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Our solutions for a better governance
of SAP Data Services
● Documentation: Documenting the contents of their repositories (object
catalogue). Name and description of jobs, workflows, dataflows, datastores,
database tables, flat files, global variables
● Monitoring: Scheduling and job execution analysis
● Impact Analysis: Workflows/Dataflow contents and usage - where is table X
used?
● Change Management: Tracking changes
● Usage: Identify workflows/dataflows not used, jobs with no projects

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360Eyes for SAP Data Services
Solution Highlight: Documentation
● Documenting the contents of their repositories (object catalogue).
○ List of objects by category
○ List of scripts and their code
○ Checking naming conventions, identifying possible duplicates

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360Eyes for SAP Data Services
Solution Highlight: Monitoring
● Scheduling and job execution analysis
○ Monitoring job performance (running times, success/failure)
○ Drill down to job execution details (specific workflow/dataflow/object)

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360Eyes for SAP Data Services
Solution Highlight: Impact Analysis
● Workflows/Dataflow contents - where is table X used? (Report 103)
○ If table or data source updated/removed what’s going to break?

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360Eyes for SAP Data Services
Solution Highlight: Change Management
● Tracking changes (Report 105)
○ Make sure that unexpected changes are captured
○ Compare before and after versions for (manual) rollback if needed
○ Compare across repositories
○ Particularly useful in multi-developer environments

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360Eyes for SAP Data Services
Solution Highlight: Usage Analysis
● Identify workflows/dataflows not used, jobs with no projects (Report 100)
○ System maintenance, cleanup

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360Eyes for DS use cases
Client: “Why would we need 360Eyes for Data Services?”
● Documentation: documenting the contents of their repositories (object catalogue). Name and
description of jobs, workflows, dataflows, datastores, database tables, flat files, global variables
(Report 100)
○ List of objects by category
○ List of scripts and their code
○ Enforcing naming conventions, identifying possible duplicates
● Monitoring: Scheduling and job execution analysis (Report 102)
○ Monitoring job performance (running times, success/failure)
○ Drill down to job execution details (specific workflow/dataflow/object)
● Impact Analysis: Workflows/Dataflow contents and usage - where is table X used? (Report 103)
○ If table or data source updated/removed what’s going to break?)
● Change Management: Tracking changes (Report 105)
○ Make sure that unexpected changes are captured
○ Compare before and after versions for (manual) rollback if needed
○ Compare across repositories
○ Particularly useful in multi-developer environments

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360Eyes for DS use cases
Client: “Why would we need 360Eyes for Data Services?”
● Usage: Identify workflows/dataflows not used, jobs with no projects (Report 100)
○ System maintenance, cleanup
● Data lineage: Report 104?? - not really
○ Documenting how data moves and changes from source to target (excel example)

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Key takeaways
with 360Eyes for SAP Data Services
✅ Document Metadata: Jobs, workflows,...
✅ Compare changes over time
✅ Monitor jobs
✅ Share Job details with GRC team
✅ Faster and cheaper migrations
✅ Reduce DS Operating and Maintenance costs

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● BOBJ / BODS Administrator, part of “IT Application Business Intelligence”
team since 2008.
● My team facilitate and support (IT backbone) the analytics platform that
consists of SAP Business Objects for reporting, SAP Analytics cloud (SAC) &
Lumira for Dashboarding and BODS for ETL (Extract / Transformation /
Loading) to build Data marts.
● We use Business Objects since 2004/2005 from Business XI R2 era almost like
two decades and BODS since 2012 almost a decade.
● We support Ariba’s various internal departments such as Product
engineering, Customer Support Organization, Sales, Cloud Analytics team etc.
Vasudevan Gnanasivam
my role with SAP Ariba

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● SAP Ariba is e-Procurement company that provides supply
chain / spend management cloud solutions for large and
mid-size companies.
● Also, “Ariba Network”, now known as “SAP Business
Network” is a dynamic, digital marketplace where millions
of buyers and suppliers, from 190 countries, transact
trillions of dollars in business commerce every year.
● Ariba became a part of SAP cloud commerce division since
2012.
About SAP Ariba

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BOBJ Platform: 4.3 SP2 Patch 3
● Production install: 2
● Backend DB: Hana 2.0
● OS: Linux
● ~ 50K objects
● ~ 500 Schedules
● ~ 100+ Universes
● Lumira / SAC using LDC
360 Suites v2023.1
● 360
Bind/Cast/Plus/Live/View
● 360 Eyes
SAP BusinessObjects at SAP Ariba
BODS: DS 4.3 / IPS 4.3 SP2 Patch 1
● Production install: 3
● Backend DB: SQL Server 2019
● OS: Windows
● ~ Repositories: 7
● ~ Jobs: 30+ running 24/7
● ~ Projects: 20 ~Workflows: 600
~Dataflows: 500
● ~ Monthly processed rows: 15 billion
360 eyes for DS v2023.1

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1. Multiple BODS Installations across different platforms makes it difficult to
centralize metadata into single location
2. Monitoring Job executions status periodically
3. Documenting everchanging Workflow/Dataflow is a nightmare
SAP Ariba - Challenges
with Data Services

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BEFORE
Cons
● Time Consuming
● Special Skills /
Knowledge
● Not real time
● Error prone
SAP Ariba Challenges - Centralization
AFTER
Pros
● Daily extraction of
metadata
● Consolidated into
one centralized
Database
● No Special Skills /
Knowledge
● Almost real time
● Reliable metrics
● Fully automated
process

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● Provide on demand KPI to Business
of Data Services job details
● Monitor Job execution statu
● Monitor Running time
● Monitor Data volume
● Track and provide insights on
Performance issues
Before
● Manual time consuming work to
provide KPI
● No insights on performance
bottlenecks
● Passive monitoring
After
● Check if jobs have picked-up
● Self-Service and on Demand KPI
● Proactive monitoring
SAP Ariba Challenges - Monitoring

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Documentation
● Data catalog: projects, jobs, workflows, dataflows, transforms, datastores, database
tables, files
● Historical information
Before
● No documentation capabilities
● Limited search capabilities
After
● Impact analysis very useful in case of DB changes, name changes, etc?
● Document what is used or not used
● Ability to leverage 360Eyes DS universe and pre-canned and custom Webi reports
to document DS
● Ability to compare snapshots over time and/or across repositories:
○ Track what has been added, modified & deleted
○ Regression
● Self-service capabilities to get insights from the metadata
SAP Challenges

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SAP Ariba use case

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✅ Ability to do BI on ETL
✅ Reduce Cost of ownership
✅ Increase visibility & availability
✅ Document and compare Metadata overtime
Pro tip:
Leverage BO and EyesDS to get timely and comprehensive information about your Data
Services environment (e.g.: schedule job execution report to be distributed on failures)
Key Takeaways