Oracle OBIEE Users List
Access 32,460+ verified companies running Oracle Business Intelligence Enterprise Edition (OBIEE) with 64,920+ direct contacts including BI Managers, Data Analytics Directors, IT Directors, Enterprise Architects, and CIOs.
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About Oracle OBIEE
Oracle Business Intelligence Enterprise Edition, universally known as OBIEE, is Oracle's flagship on-premise enterprise business intelligence and analytics platform. OBIEE provides a comprehensive suite of BI capabilities including interactive dashboards, ad-hoc query and analysis, pixel-perfect reporting, mobile analytics, proactive intelligence and alerting, and a centralised semantic layer — the Oracle BI Repository (RPD) — that abstracts the complexity of underlying data sources and provides a consistent, governed analytical model for end users across the enterprise. OBIEE originated from Oracle's acquisition of Siebel Analytics in 2006 and has since grown into one of the most widely deployed enterprise BI platforms in the global market, with an installed base spanning financial services, government, manufacturing, healthcare, retail, and utilities across North America, Europe, Asia Pacific, and the Middle East.
OBIEE's core architectural strength is its semantic layer — the logical, business-friendly abstraction of complex, multi-source enterprise data that allows business users to query data without understanding the underlying database schemas. The OBIEE RPD (Repository Definition) can integrate data from multiple heterogeneous sources including Oracle databases, Oracle ERP systems (EBS, JD Edwards, PeopleSoft), SAP, Microsoft SQL Server, and data warehouses, providing a unified analytical view that reflects business concepts rather than technical data structures. This semantic layer architecture made OBIEE the BI platform of choice for large enterprises requiring governed, enterprise-wide analytics during the 2000s and 2010s, and it remains deeply embedded in the analytics infrastructure of many of those organisations today. The complexity and institutional investment in OBIEE semantic layers — some developed over a decade or more — has historically been a significant barrier to migration.
OBIEE's product history reflects Oracle's journey from on-premise software to cloud. The platform launched as Siebel Analytics, was rebranded as Oracle Business Intelligence Enterprise Edition following the Siebel acquisition, and has been through several major version releases including OBIEE 10g, OBIEE 11g, and OBIEE 12c. Each version introduced significant architectural changes — OBIEE 11g introduced the WebLogic Server-based architecture and expanded mobile capabilities, while OBIEE 12c introduced improved visualisation capabilities, enhanced self-service analytics through Oracle Data Visualization Desktop, and tighter integration with Oracle Endeca for search-based analytics. The current Oracle Analytics Server (OAS) represents Oracle's on-premise bridge between OBIEE 12c and Oracle Analytics Cloud, and is the supported path for organisations not yet ready to migrate to cloud.
OBIEE is particularly prevalent in government, financial services, manufacturing, healthcare, and retail — sectors that require rigorous data governance, complex report formatting, pixel-perfect regulatory report production, and high-concurrency dashboard delivery across large user bases. Government agencies at federal and state level in the United States, United Kingdom, Australia, and across Europe have deployed OBIEE as their standard enterprise reporting and analytics platform, often integrated with Oracle ERP and Oracle HCM systems running at the core of public sector financial and HR operations. Large financial services organisations — banks, insurance companies, investment managers — have deployed OBIEE for management information, regulatory reporting, risk analytics, and front-office performance reporting, with some deployments supporting hundreds or thousands of concurrent users.
The competitive landscape for OBIEE has shifted dramatically in recent years. The rise of cloud-native BI platforms — particularly Tableau, Microsoft Power BI, Qlik Sense, and Looker — alongside Oracle's own Oracle Analytics Cloud has created a competitive evaluation environment for every OBIEE customer. Business users increasingly demand the self-service data exploration and modern visualisation capabilities that these cloud platforms offer, while OBIEE's traditional strengths lie in governed, structured reporting and the semantic layer's ability to enforce consistent business definitions across the enterprise. This tension between governed reporting and self-service exploration has driven OBIEE customers to evaluate supplementary tools, hybrid architectures, and full platform migration depending on their specific analytics maturity and business requirements.
Oracle has responded by investing significantly in Oracle Analytics Cloud as a feature-rich, AI-augmented successor to OBIEE. OAC offers native machine learning model integration, AI-powered auto-insight generation, augmented analytics, natural language query, and a modern self-service data preparation experience alongside a migration path from OBIEE that preserves semantic layer investments through Oracle's migration tooling. This combination of compelling new capabilities and a structured migration path is creating genuine migration urgency within the OBIEE installed base, particularly among organisations approaching Oracle support renewal decisions or planning broader Oracle Cloud Application migrations.
The data integration ecosystem around OBIEE migrations has expanded significantly. Organisations migrating from OBIEE must address not only the platform itself but also the ETL processes feeding data into OBIEE, the semantic layer model and its translation to modern equivalents, the report and dashboard inventory (often running into hundreds or thousands of objects), and the end-user retraining and change management required to shift established reporting workflows. This migration complexity creates a large and sustained professional services market for implementation partners, data architecture consultancies, and migration tooling vendors who can guide OBIEE customers through the modernisation journey.
ELP Data's verified Oracle OBIEE Users List provides direct access to the 32,460+ confirmed enterprises currently running Oracle OBIEE — including the BI Managers, IT Directors, and Enterprise Architects driving analytics modernisation decisions at these organisations. Whether your proposition targets the analytics platform migration itself, the data infrastructure that supports it, or the broader analytics capability transformation that OBIEE customers are undertaking, the list provides the verified, segmented contact data needed to build a precise and effective outbound campaign.
Oracle OBIEE Users List by Industry
Oracle OBIEE is deployed across enterprises requiring governed, enterprise-grade analytics. The following breakdown shows the primary sectors within our verified OBIEE installed base database.
Financial Services
7,800+Banks, insurance companies, investment managers, and financial services conglomerates use OBIEE for regulatory reporting, risk analytics dashboards, management information systems, and performance reporting across complex multi-entity organisations. OBIEE's pixel-perfect report formatting and governed semantic layer are particularly valued for the precision required in regulatory submissions to bodies such as the FCA, SEC, and Basel Committee. Many financial services OBIEE deployments support hundreds of concurrent business users across finance, risk, compliance, and front-office functions and represent some of the most deeply embedded OBIEE environments in the market.
Government
6,200+Federal, state, and local government agencies across North America, the United Kingdom, Australia, and Europe use OBIEE for enterprise performance management, financial reporting, programme analytics, and compliance reporting. Government OBIEE deployments are often tightly integrated with Oracle EBS or Oracle Fusion Financials, providing unified financial and operational analytics across large public sector organisations. The scale of government OBIEE deployments — frequently supporting thousands of users across multiple agencies — makes them among the most complex and commercially significant modernisation projects in the enterprise analytics market.
Manufacturing
5,400+Global manufacturers use OBIEE for operational analytics, supply chain performance management, quality reporting, plant performance dashboards, and integrated financial and operational analytics across multi-site, multi-region manufacturing networks. OBIEE's integration with Oracle EBS and Oracle SCM enables manufacturers to surface operational data alongside financial performance metrics in governed, consistent dashboards trusted by plant managers, supply chain directors, and CFOs. Manufacturing OBIEE environments are often complex, with semantic layers integrating data from ERP, MES, WMS, and third-party supply chain systems simultaneously.
Healthcare
4,800+Health systems, payers, pharmaceutical companies, and medical device manufacturers use OBIEE for clinical performance analytics, financial management reporting, population health dashboards, and operational KPI monitoring across complex, multi-site healthcare organisations. OBIEE's data governance capabilities are particularly valued in healthcare where regulatory compliance and patient data security requirements impose strict controls on how analytics data is accessed and used. Healthcare OBIEE deployments are frequently integrated with Oracle Health (formerly Cerner), Epic, and other clinical systems alongside Oracle Financials, creating complex semantic layer environments that require specialist migration expertise.
Retail
4,400+Retailers use OBIEE for merchandise analytics, store performance management, supply chain visibility dashboards, customer and loyalty programme analytics, and executive management information reporting across large multi-format, multi-geography retail networks. Retail OBIEE deployments frequently integrate data from Oracle Retail applications, Oracle EBS, POS systems, and e-commerce platforms to provide a unified view of retail performance. The competitive pressure to modernise retail analytics — moving toward real-time insights and self-service data exploration — is driving significant OBIEE migration activity in retail, creating active pipeline for analytics platform vendors and migration specialists.
Technology
3,860+Technology companies use OBIEE for business performance analytics, customer revenue analysis, product profitability reporting, subscription analytics, and operational dashboards across complex multi-business-unit organisations. Technology sector OBIEE deployments are often less deeply institutionalised than those in financial services or government, making the technology sector a higher-propensity migration segment. Technology companies with OBIEE installations who are modernising their data stack — moving to Snowflake, Databricks, or other cloud data platforms — are frequently also evaluating OBIEE replacement as part of the broader data modernisation programme.
Recent Developments in Oracle OBIEE & Enterprise Analytics
Key market developments shaping the Oracle OBIEE installed base and the enterprise analytics platform landscape.
Oracle Analytics Cloud Emerges as Primary Successor to OBIEE
Oracle has continued to invest heavily in Oracle Analytics Cloud (OAC) — its cloud-native BI and analytics platform — while signalling that OBIEE represents the on-premise legacy that OAC is designed to replace. Oracle has developed migration tooling including the OBIEE-to-OAC migration assistant, which automates the conversion of OBIEE RPD models and catalog content to Oracle Analytics Cloud format. The migration assistant handles the translation of logical and physical OBIEE repository layers to OAC's semantic modeller format, and automates the batch migration of OBIEE dashboards and analyses to OAC workbooks, significantly reducing the manual effort previously required for OBIEE-to-cloud migrations.
For BI implementation partners and analytics consulting firms, this migration wave represents a significant and sustained market opportunity. Large organisations with complex, multi-year OBIEE investments require expert guidance to plan, sequence, and execute migrations that preserve business-critical reporting while enabling the transition to OAC's modern self-service analytics capabilities. The professional services market for OBIEE-to-OAC migrations is estimated to represent hundreds of millions of dollars globally, with particularly large engagements in financial services, government, and healthcare where OBIEE deployments are most complex and deeply embedded.
Oracle's Analytics Live subscription model for OAC provides a cost-effective cloud analytics alternative for OBIEE customers, making the financial case for migration more compelling than in previous years. For technology vendors positioning cloud data platform solutions, data fabric tools, or complementary analytics products alongside OBIEE migration campaigns, understanding Oracle's pricing and migration incentive programmes is essential to building a persuasive value proposition for OBIEE customer contacts.
AI-Powered Analytics Features in Oracle Analytics Cloud Accelerate OBIEE Migration
Oracle Analytics Cloud's AI and machine learning capabilities — including auto-insight generation, natural language query, ML model integration, and automated anomaly detection — are increasingly cited by BI Managers and Analytics Directors as primary migration drivers from OBIEE. These capabilities enable business users to discover insights without requiring BI developer involvement, representing a fundamentally different analytics user experience compared to OBIEE's traditional developer-built dashboard model. The democratisation of analytics through AI is particularly compelling for organisations where a large backlog of unmet analytics requests has been a persistent frustration with OBIEE's centrally managed development model.
OAC's Natural Language Generation (NLG) capability, which automatically generates written narrative explanations of data trends, and its Explain feature, which uses ML to identify the key drivers of data patterns, are capabilities that OBIEE cannot match without significant custom development. These features are driving increasing executive sponsorship for OAC migration among business leaders who have struggled to get timely analytics answers from OBIEE's traditional report request queues. For analytics platform vendors and OAC implementation partners, this capability differentiation provides a compelling migration value proposition that resonates at the business leadership level, not just the IT level.
The AI capabilities of Oracle Analytics Cloud are also accelerating the adjacent market for data quality, data enrichment, and master data management solutions. AI-powered analytics is only as valuable as the underlying data quality — and organisations moving from OBIEE to OAC are frequently discovering that their data quality issues, previously hidden by OBIEE's governed semantic layer, become more visible and business-impactful in a self-service analytics environment. This creates active procurement activity for data quality and governance vendors at OBIEE migration customer sites.
Enterprise Data Governance Requirements Drive OBIEE Semantic Layer Modernisation
Enterprises running Oracle OBIEE are increasingly investing in modernising their data governance architecture — including semantic layer migration from OBIEE RPD to cloud-native semantic layer platforms, data catalogue integration, and master data management tooling. As data mesh and data fabric architectures gain traction among data-driven enterprises, the centralised OBIEE semantic layer is being supplemented with or replaced by modern, federated data governance platforms that provide a consistent business vocabulary across heterogeneous data sources and analytics tools.
The semantic layer modernisation market is particularly active among financial services and healthcare organisations where data governance is not just a best practice but a regulatory requirement. These organisations are investing in semantic layer platforms such as dbt (data build tool), LookML on Looker, and cloud-native semantic layer products that integrate with their cloud data warehouse architectures alongside or instead of OBIEE RPD. For semantic layer and data catalogue vendors, the OBIEE installed base represents a large and motivated buyer community for governance modernisation solutions.
ELP Data's Oracle OBIEE users list is particularly valuable for data governance technology vendors because OBIEE customers are, by definition, organisations that have prioritised governed analytics over ad-hoc self-service — making them pre-qualified buyers for data governance and semantic layer solutions. Vendors who can demonstrate a clear migration path from OBIEE RPD to their own semantic layer platform, or who can position their product as complementary to OBIEE during a phased migration, will find the OBIEE installed base to be a highly receptive and commercially productive target audience.
Government OBIEE Deployments Drive Large-Scale Analytics Modernisation Programmes
Government agencies at federal, state, and local level that have invested heavily in Oracle OBIEE are undertaking structured analytics modernisation programmes as part of broader digital government and data-driven government initiatives. These programmes involve migrating OBIEE-based enterprise analytics environments to cloud analytics platforms, integrating new data sources including real-time operational data and external open data, and extending analytics access to broader citizen-facing applications and cross-agency data sharing platforms.
Government OBIEE modernisation projects are typically large, complex, and long-cycle — involving procurement processes, security clearances, data sovereignty requirements, and extensive stakeholder management across multiple departments and agencies. The professional services fees for large government OBIEE modernisation programmes regularly exceed $10 million, making the government sector the highest-value segment of the OBIEE migration market by total contract value. Oracle and its government-specialist partners have established structured migration programme frameworks for government OBIEE customers, but independent implementation partners with government analytics expertise also compete strongly for these engagements.
For technology vendors targeting government OBIEE customers, understanding the procurement and security landscape is essential. Government OBIEE contacts in the ELP Data list are verified active decision-makers at agency level — CIOs, IT Directors, and Analytics Directors who control analytics modernisation budget and are directly engaged with vendor evaluation processes. Reaching these contacts with relevant, government-specific messaging through outbound campaigns or thought leadership programmes can establish the vendor relationships needed to successfully position for formal government procurement opportunities.
Geography Breakdown — Oracle OBIEE Users List
Contact counts derived from 32,460+ total verified companies in this list.
| Region / Country | Contacts Available | Share | |
|---|---|---|---|
| United States | 22,000+ | 34% | |
| United Kingdom | 9,100+ | 14% | |
| India | 5,200+ | 8% | |
| Germany | 4,500+ | 7% | |
| Australia | 3,900+ | 6% | |
| Canada | 3,200+ | 5% | |
| Rest of World | 17,020+ | 26% |
The United States accounts for the largest share of the Oracle OBIEE installed base at 34%, reflecting the concentration of large enterprises across financial services, government, manufacturing, and healthcare that adopted OBIEE during its peak market growth period in the 2000s and 2010s. US federal government agencies and major financial institutions are particularly prominent OBIEE customers, with some deployments representing some of the largest and most complex OBIEE environments in the world. For vendors targeting US-based OBIEE customers, the Northeast (financial services hub) and Washington D.C. (federal government concentration) are the highest-value geographic sub-segments.
The United Kingdom accounts for 14% of our OBIEE contact database, reflecting the UK's large public sector Oracle installed base alongside significant OBIEE deployments in financial services (particularly in the City of London), retail, and utilities. UK OBIEE customers are at various stages of their analytics modernisation journey — some have completed migration to Oracle Analytics Cloud or third-party cloud BI platforms, while others remain in active evaluation or early migration phases. Germany, at 7%, represents the largest OBIEE market in continental Europe, with the German automotive, manufacturing, and financial services sectors all containing significant Oracle OBIEE deployments.
India's 8% share reflects both Indian enterprises running OBIEE domestically and, significantly, the large number of Oracle technology professionals at Indian IT services firms who implement and support OBIEE environments for global clients. Australia at 6% contains a particularly strong government and financial services OBIEE presence, with Australian state and federal government agencies among the largest public sector Oracle BI deployments in the Asia Pacific region. The Rest of World segment at 26% encompasses significant OBIEE deployments across the Netherlands, France, the Middle East, Brazil, and throughout Asia Pacific.
Contact Breakdown by Job Title — Oracle OBIEE
How 64,920+ verified contacts are distributed across key decision-maker roles.
| Job Title | Contacts Available | Share | |
|---|---|---|---|
| BI Manager / Analytics Manager | 10,400+ | 16% | |
| Data Analytics Director | 7,800+ | 12% | |
| IT Director | 7,800+ | 12% | |
| Enterprise Architect | 6,500+ | 10% | |
| CIO / VP of Technology | 5,800+ | 9% | |
| BI Developer / OBIEE Developer | 5,200+ | 8% |
BI Managers and Analytics Managers represent the largest single contact category at 16% of the total, reflecting OBIEE's positioning as a business analytics platform where the BI function typically owns the platform operationally. These individuals manage OBIEE delivery teams, govern analytics development processes, and are the primary day-to-day decision-makers for analytics tooling and vendor relationships. They are the most likely first point of contact for any analytics platform vendor or migration services firm targeting OBIEE customers, as they are closest to the day-to-day limitations of the platform and most aware of the business case for modernisation.
Data Analytics Directors at 12% hold strategic authority over the analytics roadmap and platform investment decisions. They are typically responsible for making the business case to the CIO or CDAO for analytics platform transformation investments, and are often the sponsors of formal OBIEE modernisation programmes. Reaching Data Analytics Directors with strategic thought leadership and ROI-focused messaging is essential for vendors seeking to influence platform evaluation decisions at the most senior level below the CIO.
IT Directors and Enterprise Architects collectively represent 22% of the contact database, reflecting the significant technology governance role these functions play in OBIEE architecture decisions and cloud migration sequencing. IT Directors control the technology infrastructure budget and the IT staffing resources needed to execute OBIEE migration projects. Enterprise Architects define the target state architecture and integration patterns for cloud analytics migrations, making them critical influencers in any analytics platform evaluation. CIOs and VPs of Technology at 9% are the ultimate executive sponsors for the scale of investment that large OBIEE modernisation programmes require, and are typically engaged at the later stages of a vendor evaluation process when business case sign-off is needed.
Why This List Matters for Analytics & BI Technology Marketing
Oracle OBIEE represents one of the most commercially significant installed bases in enterprise analytics. The 32,460+ organisations running Oracle OBIEE are large, data-sophisticated enterprises that have invested substantially in analytics infrastructure and are now facing a clear platform modernisation decision. Oracle's strategic direction toward Oracle Analytics Cloud, combined with the growing capability gap between OBIEE and modern cloud-native analytics platforms, means that OBIEE customers are engaged in active analytics platform evaluation cycles that create commercial opportunity across the entire enterprise analytics ecosystem — from platform migration services to complementary data infrastructure tools.
The analytics platform decision at an Oracle OBIEE customer site typically involves multiple stakeholders: the BI Manager or Analytics Director who owns day-to-day analytics delivery, the IT Director or Enterprise Architect who controls technology architecture decisions, and the CIO or VP of Technology who sponsors the analytics modernisation investment. Effective outreach requires reaching all three stakeholder personas with targeted messaging that addresses their specific concerns — whether that is migration risk mitigation for the BI Manager, cloud architecture alignment for the Enterprise Architect, or total cost of ownership for the CIO. ELP Data's Oracle OBIEE Users List includes verified contacts across all three stakeholder types, enabling precisely coordinated multi-contact outreach strategies.
The commercial opportunity within the Oracle OBIEE installed base extends beyond direct platform migration services. Enterprises modernising from OBIEE typically require data integration re-architecture, semantic layer migration, enterprise data catalogue implementation, user training, and change management support — creating a broad professional services market adjacent to the platform migration itself. Additionally, OBIEE customers evaluating Oracle Analytics Cloud are simultaneously assessing complementary technologies including cloud data warehouses, data fabric platforms, and AI-augmented analytics tools, creating co-sale opportunities for vendors across the analytics stack.
For sales and marketing teams running account-based marketing programmes, the Oracle OBIEE list provides the account intelligence needed to build a precision ABM strategy targeting OBIEE customers. The combination of company-level firmographic data (size, revenue, industry) and individual-level contact data (direct email, phone, LinkedIn, and role) enables the construction of multi-contact, multi-channel account plans that reach every member of the OBIEE buying committee simultaneously. This account-based approach consistently outperforms single-contact outbound strategies for enterprise technology sales cycles of the complexity and duration involved in analytics platform modernisation.
The time sensitivity of the OBIEE opportunity is also significant. Oracle's support lifecycle and pricing changes for OBIEE create natural decision points for OBIEE customers to evaluate their analytics platform investment. Organisations approaching Oracle support renewal decisions are at peak purchase intent for analytics modernisation services, making the OBIEE installed base not just a large target market but an actively time-bounded one. Vendors who establish relationships with OBIEE customers ahead of these decision cycles have a significant first-mover advantage in winning the analytics modernisation engagements that result.
ELP Data's quarterly verification cycle ensures that the Oracle OBIEE Users List reflects current, active deployments rather than historical installations. Enterprise technology lists degrade rapidly — contacts change roles, organisations migrate platforms, and companies are acquired or restructured. Our verification process catches these changes on a quarterly basis, ensuring that you are investing your outreach budget in contacts who are genuinely positioned to benefit from your proposition right now. With 97% accuracy maintained across our verification cycles, the OBIEE list delivers consistently high response rates and low bounce rates that generic B2B contact databases cannot match.
The Oracle OBIEE Users List is used by a diverse range of vendors and service providers, reflecting the breadth of the commercial opportunity within the OBIEE installed base. Oracle Analytics Cloud implementation partners use the list to reach OBIEE customers with migration assessment offers. Cloud data platform vendors use it to position their infrastructure as the foundation for OBIEE migration. BI platform vendors including Tableau, Power BI, and Qlik partners use it to target competitive displacement conversations. Data quality and governance vendors use it to reach OBIEE customers whose data infrastructure needs modernising alongside the platform itself. Managed analytics services providers use it to offer ongoing support and optimisation for organisations that want to accelerate their OBIEE usage while planning migration.
ELP Data maintains the Oracle OBIEE Users List at 97% accuracy through quarterly verification cycles. Every record in the database is verified against current enterprise technology deployment sources, ensuring that you are reaching active OBIEE deployments rather than organisations that migrated years ago. With direct business emails, phone numbers, and LinkedIn profiles in every record, the list enables immediate, multi-channel outreach into one of enterprise analytics' most commercially active modernisation markets.
What's Included in Each Record
Every Oracle OBIEE contact record contains the full set of verified data fields your team needs for outbound campaigns, ABM programmes, and lead enrichment.
- Full Name & Job Title
The contact's verified current name and seniority-level job title, confirmed against professional network records and employment intelligence sources.
- Direct Business Email Address
Deliverable, direct business email address — not generic info@ or contact@ addresses. Verified for deliverability before every quarterly refresh.
- Direct Phone Number
Direct dial or direct mobile number for the contact, enabling immediate calling without switchboard navigation or gatekeeper friction.
- LinkedIn Profile URL
Verified LinkedIn profile URL for the contact, enabling LinkedIn-based outreach, connection requests, and social selling as part of multi-channel campaigns.
- Company Name & Website
The verified current employer name and corporate website URL, cross-referenced against company registration data and technology deployment intelligence.
- Industry & Sub-Industry
Primary industry classification and sub-industry category, enabling precise industry-specific segmentation and personalised messaging by vertical.
- Company Size (Employee Count)
Verified employee headcount range, enabling segmentation between mid-market and enterprise accounts based on your ideal customer profile criteria.
- Annual Revenue Range
Approximate annual revenue band for the employer organisation, enabling deal size estimation and prioritisation of highest-value accounts.
- Headquarters Location & Country
The company's primary headquarters city, state or region, and country — enabling precise geographic segmentation for territory-based outreach campaigns.
- OBIEE Version (where available)
Oracle OBIEE version deployment data where detected through technology intelligence sources, enabling version-specific migration messaging.
- Decision-Maker Seniority Level
Seniority classification (Director, VP, C-Suite, Manager) enabling prioritisation of highest-authority contacts for account-based marketing programmes.
- Data Verified Date
The date of the most recent verification cycle for this record, providing transparency on data freshness and enabling filtering by recency where required.
Sample Data — Oracle OBIEE Users
Emails partially hidden for privacy. Full records include direct email, phone and LinkedIn.
| Company | Job Title | Industry | Location | |
|---|---|---|---|---|
| Royal Bank of Canada | BI Manager | Financial Services | Toronto, Canada | b***@rbc.com |
| US Department of Defense | IT Director | Government | Washington, DC | i***@defense.gov |
| Caterpillar Inc. | Data Analytics Director | Manufacturing | Deerfield, IL | d***@cat.com |
| Kaiser Permanente | Enterprise Architect | Healthcare | Oakland, CA | e***@kp.org |
| Tesco PLC | CIO | Retail | Welwyn Garden City, UK | c***@tesco.com |
Frequently Asked Questions
What Our Customers Say
Real feedback from clients who purchased the Oracle OBIEE Users List from ELP Data.
“We offer OBIEE-to-Oracle Analytics Cloud migration services and needed a way to reach the right decision-makers at large enterprises still running OBIEE. ELP Data's list gave us verified BI Managers and IT Directors at major enterprises across financial services, government, and manufacturing. The data quality was excellent — near-zero bounce rate and very strong email open rates from the first week of outreach. The segmentation by industry allowed us to tailor our messaging precisely to the regulatory reporting challenges in each vertical. We booked 16 qualified migration assessment calls in the first month, which was well above our baseline for any previous list purchase. The ROI was exceptional and we have since renewed and expanded our purchase to cover additional geographies.”
“We sell a semantic layer migration platform for organisations moving from OBIEE RPD to modern analytics platforms, and the ability to identify and reach OBIEE users precisely is critical to our go-to-market. ELP Data provided us with Enterprise Architects and Analytics Platform Owners at large OBIEE customer sites across the US and Western Europe. The contact accuracy was very high, the delivery was rapid, and the segmentation by company size allowed us to focus on mid-market and enterprise accounts where our deal sizes are highest. Our SDR team reported that the contacts were receptive and knowledgeable — exactly the right people. We have used ELP Data for three campaigns now and the quality has been consistent across all three.”
“Targeted Oracle OBIEE customers in the UK and Germany for a data visualisation modernisation campaign promoting our cloud-native dashboarding platform as a front-end replacement for OBIEE reporting. The list was well-structured and the contacts were at the right seniority level — BI Managers and Data Analytics Directors who genuinely own the decision. Our pipeline improved significantly compared to previous generic BI lists we had purchased from other providers. Response rates were approximately three times higher than our industry baseline, which we attribute to the precise platform targeting. We would increase the rating to five stars if the DACH coverage could be expanded further — the Germany segment was strong but Austria and Switzerland had fewer records than we needed.”
“We provide cloud data platform solutions and needed to reach BI leaders at enterprises with large legacy OBIEE deployments who are actively evaluating cloud data warehouse and analytics modernisation. ELP Data's Oracle OBIEE list was precise, well-segmented, and the contact accuracy was outstanding. We ran a multi-touch outbound sequence combining personalised email, LinkedIn outreach, and direct calling — the direct phone numbers and LinkedIn URLs in the list made our multi-channel campaign highly effective. Generated 12 enterprise opportunities in the first month of the campaign, with average deal values well above our typical inbound leads. We have since expanded our ELP Data subscription to cover several additional Oracle platform lists.”
Related Oracle & Analytics Lists
Vendors targeting OBIEE users often also target these adjacent Oracle and analytics platform installed bases to maximise campaign reach across the enterprise analytics market.
Organisations already migrated to Oracle Analytics Cloud — useful for OAC optimisation services and complementary analytics tools targeting the post-OBIEE environment.
Oracle Essbase is the multidimensional analytics platform frequently deployed alongside OBIEE for financial planning and budgeting. Essbase users share significant overlap with the OBIEE installed base.
Oracle EPM Cloud users include organisations that have migrated from Essbase and Hyperion to Oracle's cloud EPM platform — representing the future state for many OBIEE-plus-Essbase customers.
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