List of SAP HANA Streaming Analytics Customers
SAP
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Germany
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$42.3B
Since 2010, our global team of researchers has been studying SAP HANA Streaming Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SAP HANA Streaming Analytics for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SAP HANA Streaming Analytics for Analytics and BI include: Sky, a United Kingdom based Media organisation with 32000 employees and revenues of $18.13 billion, DuPont, a United States based Oil, Gas and Chemicals organisation with 24000 employees and revenues of $12.39 billion, Swiss Federal Railways, a Switzerland based Transportation organisation with 34200 employees and revenues of $11.88 billion, Alliander, a Netherlands based Utilities organisation with 5991 employees and revenues of $2.33 billion, The Aerospace Corporation, a United States based Aerospace and Defense organisation with 4800 employees and revenues of $1.80 billion and many others.
Contact us if you need a completed and verified list of companies using SAP HANA Streaming Analytics, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Analytics and BI software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Alliander | Utilities | 5991 | $2.3B | Netherlands | SAP | SAP HANA Streaming Analytics | Analytics and BI | 2018 | n/a |
In 2018, Alliander implemented SAP HANA Streaming Analytics within its Asset Management business unit in the Operational Grid Intelligence OGI department. The deployment focused on processing real-time sensor data to generate malfunction and failure suspected signals, supporting an automated failure process as part of its Analytics and BI capabilities.
The implementation comprised a streaming ingestion and processing pipeline and a purpose-built application to detect malfunction or failure suspected conditions in operational assets. Development delivered SAP HANA database artifacts including calculation views, stored procedures, and persistent tables, plus OData services and XS classic web services to expose processed results to operational front ends.
Data was unlocked via Kafka and ingested into SAP SDS HANA streaming analytics for real-time event processing and rule evaluation. Processed event streams were persisted into SAP HANA where calculation views and procedural logic enriched and prepared data for downstream consumption, linking streaming analytics outputs into backend services that feed automated failure workflows.
Operational scope and governance resided in the Asset Management business unit, with a streaming analytics consultant responsible for construction, management, and ongoing maintenance of the streaming app and HANA artifacts. Governance emphasized management of data preparation artifacts and web service endpoints as the backend for apps intended to simplify and automate business operations, enabling the automated failure process.
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DuPont | Oil, Gas and Chemicals | 24000 | $12.4B | United States | SAP | SAP HANA Streaming Analytics | Analytics and BI | 2016 | n/a |
In 2016 DuPont implemented SAP HANA Streaming Analytics in the Analytics and BI category as part of a broader SAP HANA platform program. The initiative is tied to a consolidation that reduced more than 50 percent of applications and is reported to be driving approximately 2.2 billion dollars in cost savings, and the program followed an earlier attempt four years prior that fell short before the current live implementation.
The SAP HANA Streaming Analytics deployment delivered streaming and predictive analytics capabilities, real time reporting, and a consolidated virtual view of business data that exposed information to SAP business intelligence solutions. DuPont documented an average improvement factor of 145x for targeted workloads, and specific data load times were reduced from 24 hours to 20 minutes in some cases, which contributed to accelerated closing, faster reporting speed, and improved reporting quality.
Architecture and integration work focused on simplifying the landscape, using the systems landscape translation approach by SAP Services to operationalize the platform and to sequence a migration path that includes SAP ERP Central Component toward SAP HANA and future SAP S4 HANA projects shown on the program road map. The implementation emphasizes virtualized data views on the SAP HANA platform and integration points with SAP BI tooling to reduce bespoke development and to centralize analytics services.
Governance and rollout were structured around the SAP Services led systems landscape translation, with a visual road map used to stage predictive analytics and S4 HANA adoption. DuPont reported reduced development time as a direct outcome of the simplified architecture and the live SAP HANA Streaming Analytics deployment, with initial operational benefits documented in reporting velocity and data availability for business users.
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Sky | Media | 32000 | $18.1B | United Kingdom | SAP | SAP HANA Streaming Analytics | Analytics and BI | 2013 | n/a |
In 2013, Sky implemented SAP HANA Streaming Analytics to support Analytics and BI initiatives across finance and other operational domains. The engagement began with BI Blueprint and BI Roadmap and Strategy phases to define scope and priorities for accounts payable, accounts receivable, procure to pay and additional areas.
Deployment workstreams focused on HANA data modelling on SPS12 using HANA Studio and construction of HANA views to serve reporting and analytic layers. The SAP BusinessObjects 4.2 end to end implementation consumed those HANA views, and delivery included setting up the BO environment, implementing single sign on and configuring BO security.
Functional capabilities delivered included streaming analytics models, HANA view based semantic layers for reporting, and role based security design covering object level and data level permissions. Requirement gathering explicitly covered AP, AR, P2P and related transactional processes, aligning analytic models to those business functions.
Operational rollout encompassed user acceptance testing assistance, end user training, and formal handover to the support team, with governance materialized through role definitions and security workflows. The Sky SAP HANA Streaming Analytics Analytics and BI deployment centralized analytic infrastructure for finance functions and BI consumption via SAP BusinessObjects.
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Swiss Federal Railways | Transportation | 34200 | $11.9B | Switzerland | SAP | SAP HANA Streaming Analytics | Analytics and BI | 2018 | n/a |
In 2018, Swiss Federal Railways implemented SAP HANA Streaming Analytics to enable smart power demand management and real-time operational insight. The SAP HANA Streaming Analytics deployment is part of the Analytics and BI landscape and was recognized in the SAP Innovation Awards 2018 for delivering real-time insights from mission-critical data assets.
The implementation emphasized stream processing and in-memory analytical capabilities characteristic of SAP HANA, converging transactional and analytical workloads on a single data copy. Configuration centered on continuous stream ingestion, complex event processing and real-time analytics pipelines, with operational dashboards and alerting to surface anomalous power demand events and trending signals to operational teams.
Operational coverage focused on energy management and operations functions within Swiss Federal Railways, aligning data quality and data integration workflows to support continuous monitoring of power demand. The deployment connected streaming analytics to the organizations mission-critical data assets and operational telemetry, enabling event-driven detection and decision feeds into maintenance and operations workflows.
Governance changes accompanied the rollout, shifting incident detection and response processes toward real-time, event-driven procedures and embedding analytical outputs into operational decision routines. The project is documented as an SAP HANA Streaming Analytics use case in 2018 and demonstrates how Analytics and BI capabilities were applied to operational energy management without prescribing specific implementation partners.
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The Aerospace Corporation | Aerospace and Defense | 4800 | $1.8B | United States | SAP | SAP HANA Streaming Analytics | Analytics and BI | 2019 | n/a |
In 2019, The Aerospace Corporation implemented SAP HANA Streaming Analytics as a core component of its Analytics and BI tooling to support Finance and operational reporting. The Aerospace Corporation deployed SAP HANA Streaming Analytics to enable real-time budgeting, forecasting, predictive analytics, and dashboarding for the Engineering & Technology Group and corporate finance functions.
The implementation focused on streaming ingestion and real-time event processing, with configuration of continuous aggregation, windowing, and rule-based event detection aligned to monthly budget and execution reporting cycles. Implementation work centered on data model tuning for financial time-series, real-time metrics feeds for capital expenditure planning, and configurable analytic views that support ad hoc inquiries and trend analysis.
Operational coverage was concentrated on Finance users and budget owners, with the solution provisioned to support on-site finance operations at El Segundo, CA and broader Engineering & Technology Group stakeholders. The deployment was aligned with the SAP technology stack and designed to supply low-latency analytic feeds into finance reporting workflows, procurement tracking, and cost allocation activities described by the Finance organization.
Governance measures included role-based access to streaming analytic feeds, formalized data stewardship for financial metrics, and integration into existing budget approval and reporting workflows managed by Finance leadership. The rollout emphasized operationalization of dashboards and predictive scenarios to serve as trusted financial data sources for managers, while enabling faster ad hoc response to analytical requests and monthly reconciliation processes.
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FAQ - APPS RUN THE WORLD SAP HANA Streaming Analytics Coverage
SAP HANA Streaming Analytics is a Analytics and BI solution from SAP.
Companies worldwide use SAP HANA Streaming Analytics, from small firms to large enterprises across 21+ industries.
Organizations such as Sky, DuPont, Swiss Federal Railways, Alliander and The Aerospace Corporation are recorded users of
SAP HANA Streaming Analytics for Analytics and BI.
Companies using SAP HANA Streaming Analytics are most concentrated in Media, Oil, Gas and Chemicals and Transportation, with adoption spanning over 21 industries.
Companies using SAP HANA Streaming Analytics are most concentrated in United Kingdom, United States and Switzerland, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of SAP HANA Streaming Analytics across Americas, EMEA, and APAC.
Companies using SAP HANA Streaming Analytics range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 40%, and global enterprises with 10,000+ employees - 60%.
Customers of SAP HANA Streaming Analytics include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified SAP HANA Streaming Analytics customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.