List of Cisco Tidal Enterprise Scheduler Customers
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Since 2010, our global team of researchers has been studying Cisco Tidal Enterprise Scheduler 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 Cisco Tidal Enterprise Scheduler for Business Process Management 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 Cisco Tidal Enterprise Scheduler for Business Process Management include: Cisco Systems, a United States based Professional Services organisation with 90400 employees and revenues of $53.80 billion, University of Missouri, a United States based Education organisation with 11013 employees and revenues of $4.93 billion, Uconn Health, a United States based Healthcare organisation with 5380 employees and revenues of $900.0 million and many others.
Contact us if you need a completed and verified list of companies using Cisco Tidal Enterprise Scheduler, 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 software purchases.
The Cisco Tidal Enterprise Scheduler customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Cisco Systems | Professional Services | 90400 | $53.8B | United States | Cisco Systems | Cisco Tidal Enterprise Scheduler | Business Process Management | 2012 | n/a | In 2012, Cisco Systems implemented Cisco Tidal Enterprise Scheduler in its internal US environment to orchestrate and monitor large-scale big data analytics and BI workloads. The deployment used Cisco Tidal Enterprise Scheduler as a Business Process Management solution to centralize scheduling and execution of analytic pipelines and business intelligence jobs across teams. The implementation configured centralized workload orchestration, job scheduling, dependency management, and monitoring capabilities to reduce bespoke scripting and accelerate deployment cadence. Cisco Tidal Enterprise Scheduler was configured with reusable job templates, parameterized workflows, and mobile monitoring to standardize runbooks and enable on-call staff to remediate issues more quickly. Integrations were built to coordinate Hadoop clusters, SAP HANA processing, Informatica ETL jobs, and other enterprise data systems, enabling cross-platform dependency orchestration and coordinated job windows. The scope of orchestration covered analytics and BI teams within Cisco Systems US operations, positioning Cisco Tidal Enterprise Scheduler as the central scheduler that issued platform-specific triggers and monitored job status across heterogeneous systems. Governance evolved toward centralized scheduling ownership and standardized change control for job definitions, shifting effort away from ad hoc scripts to managed workflows. The case study reports explicit outcomes of reduced scripting overhead, accelerated deployment speed in some cases from months to hours, quicker problem remediation, and improved staff work-life balance driven by mobile monitoring features. | |
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Uconn Health | Healthcare | 5380 | $900M | United States | Cisco Systems | Cisco Tidal Enterprise Scheduler | Business Process Management | 2008 | n/a | In 2008 Uconn Health implemented Cisco Tidal Enterprise Scheduler as its Business Process Management solution to automate ETL and data integration workflows feeding its data warehouse and Informatica environment. The deployment established a centralized enterprise job scheduler to orchestrate batch workflows, reduce manual intervention, and improve data-load reliability for the Connecticut-based health system. The TDWI case study documents reduced operational time for file monitoring and faster recovery from errors, supporting improved BI and reporting timeliness. Configuration work emphasized job scheduling, workflow orchestration, dependency management, file monitoring, and automated error recovery, reflecting common Business Process Management capabilities. Cisco Tidal Enterprise Scheduler was configured to sequence Informatica ETL jobs, trigger downstream data warehouse processes, and surface execution status through monitoring and alerting workflows. Operators used the scheduler to escalate failures and enable faster recovery, reducing hands-on intervention for routine file and load issues. Operational scope centered on data integration pipelines that underpin BI and reporting, consolidating control of ETL orchestration across teams. Governance changes aligned job ownership, monitoring procedures, and incident recovery playbooks with the scheduler to formalize operational workflows. The implementation positions Cisco Tidal Enterprise Scheduler as the Business Process Management layer for orchestrating ETL and improving operational reliability for Uconn Health's analytics environment. | |
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University of Missouri | Education | 11013 | $4.9B | United States | Cisco Systems | Cisco Tidal Enterprise Scheduler | Business Process Management | 2004 | n/a | In 2004, the University of Missouri implemented Cisco Tidal Enterprise Scheduler. The deployment positioned Cisco Tidal Enterprise Scheduler as the central Business Process Management engine to coordinate workloads between mainframe systems and PeopleSoft HR processes, focusing on HR and administrative processing across the university. Configuration emphasized enterprise job scheduling, dependency orchestration, and automated workload sequencing to run distributed batch jobs and administrative workflows. The implementation leveraged scheduling rules, calendar driven runs, and automated restart and exception handling to standardize job execution across heterogeneous platforms. Integrations included direct orchestration of PeopleSoft HR processes and coordination with mainframe batch systems, enabling end to end job flows that span server types and operating environments. Connectors and agent based job execution were used to push and pull job status and to enforce dependency conditions across systems. Operational governance centralized scheduling ownership within IT and HR operations, consolidating job definitions and runbooks to reduce ad hoc job management. Workflow governance introduced standardized change controls, role based scheduling permissions, and coordinated outage windows to align administrative processing across departments. The University of Missouri gained centralized automation across heterogeneous platforms and simplified management of distributed jobs through Cisco Tidal Enterprise Scheduler, demonstrating application of Business Process Management to orchestration of cross platform enterprise workloads. |
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