List of Splunk Business Flow Customers
Splunk
270 Brannan Street,
San Francisco, 94107, CA,
United States
San Francisco, 94107, CA,
United States
1 415-848-8400
Professional Services
8000
$3.8B
Since 2010, our global team of researchers has been studying Splunk Business Flow 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 Splunk Business Flow for Process Mining 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 Splunk Business Flow for Process Mining include: NVIDIA, a United States based Manufacturing organisation with 36000 employees and revenues of $130.50 billion, Progressive, a United States based Insurance organisation with 66300 employees and revenues of $75.37 billion, Cisco Systems, a United States based Professional Services organisation with 86200 employees and revenues of $61.50 billion, H&M Group, a Sweden based Retail organisation with 140000 employees and revenues of $24.66 billion, Marsh McLennan, a United States based Insurance organisation with 90000 employees and revenues of $24.46 billion and many others.
Contact us if you need a completed and verified list of companies using Splunk Business Flow, 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 Splunk Business Flow 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 |
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Cisco Systems | Professional Services | 86200 | $61.5B | United States | Splunk | Splunk Business Flow | Process Mining | 2019 | n/a |
In 2019, Cisco Systems deployed Splunk Business Flow under the Process Mining category to instrument and visualize Salesforce user journeys. The deployment focused on session sequencing and end to end process visualization for Sales workflows within Cisco's Salesforce environment.
Using Splunk Business Flow, engineers created a dedicated view that traces an entire user's journey on Salesforce from login to logout, a capability not provided natively by Salesforce. The implementation leveraged Process Mining capabilities such as event correlation, session reconstruction, and path analysis to aggregate authentication and application events into coherent user journeys. Splunk Business Flow was configured to surface session anomalies and sequence deviations within the Salesforce event stream.
The Splunk analysis identified a critical single sign on SSO issue affecting Salesforce, and root cause analysis performed in Splunk led to a communicated warning to all Sales employees at Cisco and a bug fix at Mozilla. The implementation integrated Splunk Business Flow with Salesforce event data to enable detection to remediation workflows, with operational ownership shared between security and Sales operations. Governance changes included an incident communication to Sales and coordination with an external vendor to resolve the underlying browser bug.
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CNA | Non Profit | 650 | $153M | United States | Splunk | Splunk Business Flow | Process Mining | 2021 | n/a |
In 2021, CNA implemented Splunk Business Flow to augment its insider threat and cyber forensics tooling. Splunk Business Flow, classified in the Process Mining category, was configured to surface process level insights from security telemetry and to support investigative workflows used by senior cyber forensics analysts.
CNA configured Splunk Business Flow to perform process discovery and event sequencing across user sessions, enabling timeline reconstruction of suspected insider activity and automated correlation of disparate logs. The implementation included modeling of user behavior flows, rule based triggers tied to investigative playbooks, and orchestration of evidence collection to support malware forensics and threat hunting. Visualization dashboards and flow maps were created to accelerate identification of deviations from established workflows.
Deployment was implemented as an application on the Splunk platform and integrated telemetry from Splunk User Behavior Analytics, endpoint telemetry such as Carbon Black, email security from Proofpoint, and network sensors including IDS IPS and deep packet capture feeds. These integrations allowed Splunk Business Flow to correlate endpoint, email, and network artifacts into single process traces for the Insider Threat operational program. Operational coverage centered on CNA's cyber forensics and insider threat teams in Arlington, VA, with workflows supporting OCIO and CISO review cycles.
The implementation supported governance requirements, enabling development and automation of playbooks and workflows aligned with NISPOM and guidance from DCSA, DISA, and Navy. CNA used Splunk Business Flow outputs to inform OCIO and CISO gap analyses and to maintain roadmaps for insider threat monitoring and continuous monitoring capabilities. The system was positioned to feed investigative leads and structured Insider Threat Referral Reports for cyber leadership and operational analysts.
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Deutsche Bank UK | Banking and Financial Services | 7400 | $4.3B | United Kingdom | Splunk | Splunk Business Flow | Process Mining | 2016 | n/a |
In 2016, Deutsche Bank UK implemented Splunk Business Flow to introduce Process Mining capabilities across its UK technology estate. The initiative focused on capturing and analyzing event traces to visualize end to end business flows that support Banking and Financial Services operations within the organization.
Splunk Business Flow was configured to deliver process discovery, flow analytics, case level trace analysis, and visual process modeling consistent with Process Mining functionality. The implementation embedded rule based correlation logic, time based sequencing of events, and dashboarding for drill down investigations, with configuration work to map transactional events into business activity constructs used by operations and incident teams.
The deployment integrated Splunk Business Flow with Appdynamics and Geneos to ingest application performance traces and infrastructure health metrics, and it operated on the bank s Splunk platform to centralize event ingestion and indexing. These integrations enabled correlation of APM traces from Appdynamics and monitoring metrics from Geneos into unified process views used for root cause analysis and flow centered troubleshooting. Operational coverage emphasized technology operations, application performance monitoring, and service operations across the UK organization.
Governance and operational ownership were assigned to a Business Flow Monitoring Architect, who defined data ingestion standards, naming conventions, and escalation workflows. The rollout standardized monitoring workflows and provided process centric dashboards to support flow based incident investigation and cross team collaboration.
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H&M Group | Retail | 140000 | $24.7B | Sweden | Splunk | Splunk Business Flow | Process Mining | 2018 | n/a |
In 2018, H&M Group implemented Splunk Business Flow to introduce an end to end Process Mining capability for its New Purchase Program and Plan Quantity Flow. The deployment focused on instrumenting automated order creation chains where planning lead times of three to six months required visibility across multiple systems, and where the business lacked a high level way to measure lead time reductions before broader rollout.
The solution architecture centered on an end to end monitoring approach built on Splunk Business Flow and Splunk ITSI constructs, with explicit use of fields, extractions, events, lookups, workflow actions and aliases to normalize and model event streams. Technical workstreams included data extraction, classification and enrichment, data model design, and creation of bespoke metrics, reports and dashboards, supported by Python scripting and SQL for data transformation and analytics. Proactive alerting and SLA/KPI tracking were implemented as part of the operational monitoring layer to enable daily surveillance of flow health.
Integrations implemented as part of the program included ServiceNow, Power BI, Azure Monitor, and orchestration components using Logic Apps and AI driven data analytics, in addition to extensive Splunk platform integrations noted above. Operational coverage was explicitly the New Purchase Program and Plan Quantity Flow, with the Operational Area Responsible and product team using the Business Dashboard as the single pane for monitoring before considering expansion to larger sections and departments.
Governance and process changes were formalized through a single point of contact role for Business Flow Monitoring who guided the product team and operations on where to focus improvements, how to operationalize a detective mindset, and how to use tool and technology stacks in daily ways of working. Responsibilities included extracting data, building and following up on KPIs and SLAs, maintaining dashboards, and evolving detection logic and workflow actions to support proactive operations.
Outcomes documented by the program included a simplified measurement approach devised to help the business understand end to end flow performance, and adoption of the Splunk Business Flow Business Dashboard for daily operations, with business stakeholders reporting that they could observe overall progress on the flow. The implementation addressed the initial difficulty in mapping the full flow by enabling structured monitoring and metric driven follow up.
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John Lewis & Partners | Retail | 69000 | $15.0B | United Kingdom | Splunk | Splunk Business Flow | Process Mining | 2018 | n/a |
In 2018, John Lewis & Partners implemented Splunk Business Flow as a Process Mining application to lead development of operational monitoring and alerting solutions across John Lewis and Waitrose. The deployment centered on instrumenting end to end process models rather than isolated point monitoring, shifting monitoring scope toward process orchestration and visibility for retail operations and IT support functions.
The implementation of Splunk Business Flow focused on modules for process discovery, flow visualization, and dashboard prototyping, supported by data investigation and event-level mining to reveal actual application steps in complex business processes. The team applied Splunk Certified Power User skills and business analysis methods to configure process mapping, prototype interactive dashboards, and introduce predictive oriented reporting capabilities.
Operational coverage explicitly included management of workflow for both internal teams and third party resources, and collaboration with projects to establish merger and acquisition requirements and shape solution recommendations. The work connected process mining outputs to operational monitoring and alerting workflows, supporting governance for cross-team incident identification and escalation in retail operations and project delivery contexts.
Governance and rollout activity included evaluation of the Splunk Business Flow beta program in partnership with Splunk, iterative prototyping, and structured feedback loops to the vendor. The program advanced maturity from specific point monitoring to end to end process models, pioneered data mining to discover real application steps, and challenged teams to adopt more predictive reporting and process oriented monitoring practices.
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Banking and Financial Services | 21270 | $4.5B | Australia | Splunk | Splunk Business Flow | Process Mining | 2019 | n/a |
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Insurance | 90000 | $24.5B | United States | Splunk | Splunk Business Flow | Process Mining | 2019 | n/a |
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Manufacturing | 36000 | $130.5B | United States | Splunk | Splunk Business Flow | Process Mining | 2015 | n/a |
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Insurance | 66300 | $75.4B | United States | Splunk | Splunk Business Flow | Process Mining | 2016 | n/a |
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Transportation | 25000 | $14.1B | Australia | Splunk | Splunk Business Flow | Process Mining | 2020 | n/a |
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Buyer Intent: Companies Evaluating Splunk Business Flow
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Splunk Business Flow. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Splunk Business Flow for Process Mining include:
- ChannelEngine, a Netherlands based Professional Services organization with 140 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
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ChannelEngine | Professional Services | 140 | $14M | Netherlands | 2024-09-19 |
FAQ - APPS RUN THE WORLD Splunk Business Flow Coverage
Splunk Business Flow is a Process Mining solution from Splunk.
Companies worldwide use Splunk Business Flow, from small firms to large enterprises across 21+ industries.
Organizations such as NVIDIA, Progressive, Cisco Systems, H&M Group and Marsh McLennan are recorded users of
Splunk Business Flow for Process Mining.
Companies using Splunk Business Flow are most concentrated in Manufacturing, Insurance and Professional Services, with adoption spanning over 21 industries.
Companies using Splunk Business Flow are most concentrated in United States and Sweden, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Splunk Business Flow across Americas, EMEA, and APAC.
Companies using Splunk Business Flow range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 9.09%, large organizations with 1,001-10,000 employees - 9.09%, and global enterprises with 10,000+ employees - 81.82%.
Customers of Splunk Business Flow 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 Splunk Business Flow customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Process Mining.