List of Aktana Action Customers
San Francisco, 94102-2230, CA,
United States
Since 2010, our global team of researchers has been studying Aktana Action 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 Aktana Action 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 Aktana Action for Analytics and BI include: Pfizer, a United States based Life Sciences organisation with 81000 employees and revenues of $63.63 billion, Syneos Health, a United States based Life Sciences organisation with 29000 employees and revenues of $5.45 billion, Villa Florence San Francisco, a United States based Leisure and Hospitality organisation with 34 employees and revenues of $7.0 million and many others.
Contact us if you need a completed and verified list of companies using Aktana Action, 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.
The Aktana Action 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 Analytics and BI 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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Pfizer | Life Sciences | 81000 | $63.6B | United States | Aktana | Aktana Action | Analytics and BI | 2016 | n/a |
In 2016, Pfizer implemented Aktana Action, an AI-enabled Decision Support application. The deployment was designed to enable data driven and impactful engagement with healthcare professionals and to translate brand strategy into operational field actions.
Aktana Action was configured to provide pre-call planning suggestions and actionable insights using a rules orchestration layer combined with machine learning based suggestion ranking. Configuration emphasized complex business rules that encoded brand priorities and triggered prioritized recommendations for field representatives and medical liaisons.
Operational scope centered on Pfizer commercial teams responsible for HCP engagement across therapeutic brands, embedding the Aktana Action workflow into pre-call planning and call execution routines. Functional capabilities implemented included suggestion generation, pre-call planning workflows, and learning analytics to observe which recommended actions correlated with desired outcomes.
Governance combined centralized rule authoring to align brand strategy with field behavior and iterative model training to drive continuous improvement, learning which actions achieve results to inform subsequent rule updates. The implementation positioned Aktana Action to operationalize strategy through governed business rules, AI driven suggestions, and closed loop learning across Pfizer sales and medical engagement processes.
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Syneos Health | Life Sciences | 29000 | $5.5B | United States | Aktana | Aktana Action | Analytics and BI | 2015 | n/a |
In 2015 Syneos Health implemented Aktana Action, an AI-enabled Decision Support application to operationalize Next Best Action guidance for commercial field teams. Aktana Action was positioned to deliver Aktana Next Best Action capabilities directly into field workflows, supporting evidence-based recommendation delivery and closed-loop marketing orchestration.
The implementation focused on core decisioning and orchestration capabilities, including rule-based and probabilistic recommendation configuration, campaign orchestration linked to closed-loop marketing, and functional support for project management, field coaching effectiveness, field analytics, incentive compensation alignment, and field training. Aktana Action was configured to combine automated recommendation scoring with manual coaching inputs to support day-to-day call planning and coaching workflows.
Integrations were built to ingest enterprise telemetry and customer data from the Data Warehouse and Data Integration layer and to push recommendations into Veeva CRM and closed-loop marketing channels. Data flows supported near real-time scoring and actioning, with Aktana Action sourcing aggregated historical and event data from the warehouse and returning prioritized actions into the CRM workflow for field execution.
Operational governance emphasized cross-functional alignment between commercial operations, field teams, training and incentive compensation owners, and analytics. The rollout was managed through project management tracks that synchronized training, coaching, and incentive processes to embed Aktana Action recommendations into routine field behavior and field analytics reporting.
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Villa Florence San Francisco | Leisure and Hospitality | 34 | $7M | United States | Aktana | Aktana Action | Analytics and BI | 2017 | n/a |
In 2017 Villa Florence San Francisco implemented Aktana Action to support solicitation and handling of high-value sales opportunities and to institutionalize long-term, value-based customer relationship management. Aktana Action was deployed as an AI-enabled Decision Support application to provide prescriptive guidance and prioritized actions for the sales and account management functions. The implementation directly addressed the company responsibility set to identify, qualify, and solicit new accounts, negotiate contracts, close business, and maintain and grow existing accounts.
Aktana Action was configured to deliver prioritized next-best-actions, opportunity triage, and seller guidance embedded in prospecting and negotiation playbooks, reflecting standard capabilities of AI-enabled Decision Support platforms. The deployment emphasized structured workflows for solicitation, qualification, negotiation, and account retention, and was used to maintain and grow named accounts including Aktana, App Annie, Lime, Cloudflare, Velano, and Vascular. Governance centered on operationalizing guided workflows within Villa Florence San Francisco's 34-person sales and account management organization to ensure consistent execution of revenue-focused activities.
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