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Research Insight and Wisdom of Crowds® reports offer the most comprehensive and objective insights available for data, analytics, and performance management. Our process is global, encompassing thousands of organizations across all industries, functions, and organization sizes.
Special Reports
Specialized reports rely on data collected directly from customers on a subset of vendors to provide an unbiased comparison within the broader market context.
CCH Tagetik versus OneStream EPM
The demand for effective Enterprise Performance Management (EPM) capabilities continues to increase as organizations aim to leverage all manner of data for improved decision making and operational efficiency. This special report examines the offerings and positioning of two major players in the EPM market: CCH Tagetik and OneStream.
Wolters Kluwer’s CCH Tagetik is a multifaceted vendor providing a full range of EPM capabilities—Planning, Close and Consolidation, and financial reporting, Environmental, Social, and Governance (ESG), and Corporate Tax and Regulatory solutions to customers worldwide. Headquartered in the Netherlands, Wolters Kluwer (EuroNext:WKL) is a global leader in information, software solutions and services for professionals in many sectors.
OneStream, which recently went public on the US NASDAQ exchange in July 2024, is a specialist vendor focusing purely on EPM functionality, including Planning, Close and Consolidation, and financial reporting and analytics. Its customers report the product has sophisticated capabilities and can be configured to support the needs of each customer, including custom extensions for customer-specific requirements. The company is based in the USA.
OneStream versus Oracle EPM
The demand for effective Enterprise Performance Management (EPM) capabilities continues to increase as organizations aim to leverage all manner of data for improved decision making and operational efficiency. This special report examines the offerings and positioning of two major players in the EPM market: OneStream and Oracle.
OneStream, which recently went public on the US NASDAQ exchange in July 2024, is a specialist vendor focusing purely on EPM functionality, including Planning, Close and Consolidation, and financial reporting and analytics. Its customers report the product has sophisticated capabilities and can be configured to support the needs of each customer, including custom extensions for customer-specific requirements.
Oracle is a multifaceted vendor which provides database, business applications (ERP, Human Capital, Supply Chain and Customer Experience), industry-specific applications with a strong emphasis on Healthcare, along with business intelligence and analytics as well as full-range EPM capabilities running in its cloud infrastructure. Oracle has been a market participant in EPM for decades and has acquired products and built new modules to round out its product suite. Its customers indicate they have a long history with the vendor; however, their satisfaction scores lag other EPM providers.
Tableau versus Microsoft
The demand for effective business intelligence and data visualization tools increased as organizations aim to leverage data for improved decision making and operational efficiency. This latest special report examines the offerings and positioning of two major players in the business intelligence market: Tableau (Salesforce) and Microsoft Power BI.
This newest Special Report compares Tableau and Microsoft on key aspects such as usability, integration capabilities, performance, scalability, and support. The goal is to provide a clear understanding of how each platform meets the needs of modern enterprises and supports their data-driven initiatives.
Research Insights
Published throughout each month, Research Insights are thought leadership articles, covering important topics and issues, with pointed advice and recommendations for readers.
Defend and Grow Your BI Budget by Focusing Spending on Supporting Critical Business Outcomes
Data leaders and their teams often struggle to deliver value due to limited budgets or allocations not fully aligned to business priorities and needs. Across industries, our data show that investment in business intelligence (BI) holds somewhat firm, and budget levels on average remain steady. However, degradation exists in some corners in 2024, with a slight increase in the number of organizations reporting reduced BI budgets and a small decrease in those with expanded BI budgets.
Historically, most BI budgets tilted heavily toward personnel costs, BI-related software, and infrastructure to support BI initiatives (such as database licenses, server capacity, and so forth). Allocations increasingly are shifting over time as infrastructure continues to commoditize and software licenses give way to cloud-based services.
BI budgets not spent in ways that optimally pay back against expected value increases the risk that data leaders and their teams may face cuts in their funding. In some cases, the budget overall is not well aligned to the needs of critical business outcomes, making it extremely difficult (if not impossible) for teams to justify maintaining or growing, let alone retaining, BI budgets.
Use Embedded EPM AI to Unlock the Business Value of AI
The use of artificial intelligence (AI) is becoming mainstream. Many vendors embed AI technology in their products faster than many organizations can scope and deploy their own in-house AI initiatives. Although generative AI created hype and headlines since it exploded onto the scene in 1Q23, in many cases, it often does not yet deliver on its potential. Although interest in AI, and generative AI in particular, remains high, our data show that plans to adopt generative AI have weakened—down to 72-82 percent of organizations, compared to nearly 90 percent reported in 4Q23 (see the Research Insight “Generative AI Smoke Is Clearing; Data Leaders Need A Game Plan”).
Lower planned adoption of generative AI is driven in part by rising pressure to deliver clear business returns on this spending, and less inclination to simply invest unchecked in generative AI in the hope it will somehow and eventually prove beneficial to the organization. User attitudes in enterprise performance management (EPM) reflect this sentiment, with generative AI remaining interesting but perceived as a lower priority, compared to AI use cases that would have a demonstrable beneficial impact—such as predictive forecasting and automating EPM processes.
Cut Risk and Boost BI Success With Formal Data Leadership
Despite the hype and activity surrounding emerging data-centric roles, such as the chief data officer (CDO) and chief analytics officer (CAO), a surprising gap in data leadership exists for many organizations. Our data show that less than half of organizations have formalized data leadership in place, and more than one-third of them have no plans to establish it in the future. Since every organization has somewhat different goals and requirements, it is not that surprising that data leadership is not omnipresent.
However, a clear correlation exists between formal data leadership and the degree of success with business intelligence (BI) and data-related initiatives. Organizations with formal data leadership in place more frequently deliver expected business outcomes. The presence of data leadership also positively influences frequency of data-driven decision making and levels of Hyper-Decisive® maturity for trust in data. Organizations without formal data leadership risk a higher likelihood of unsuccessful BI initiatives and likely will drift further away from the goal of maximizing data-driven decision making.
Wisdom of Crowds® Market Reports
Wisdom of Crowds® Market Reports offer in-depth research and reporting on key industry and technology topics, including user trends, perceptions, intentions and other drivers. Each report includes a section with objective and inclusive vendor ratings.
AI, Data Science, and Machine Learning Market Study 2024
The 2024 edition of the Wisdom of Crowds® AI, Data Science, and Machine Learning Market Study report marks the 11th edition of our annual research into AI, Data Science, and Machine Learning (AI / DS / ML), reflecting the growing significance of these technologies as organizations seek to enhance operations, improve forecasting, and drive innovation.
Our research shows that while the current deployment of AI, DS, and ML use cases remains limited but diverse, and there is a strong expectation of future growth. Key use cases such as customer segmentation, demand forecasting, and customer lifetime value are highlighted as areas with significant potential.
ModelOps Market Study 2024
The 2024 edition of the Wisdom of Crowds® ModelOps Market Study explores the important and evolving landscape of ModelOps, examining the critical trends shaping the industry, the management and governance of AI and machine learning models, and the operational priorities for maximizing the value of these technologies. ModelOps is essential for ensuring the efficiency and effectiveness of AI, data science, and generative AI initiatives, providing the framework for managing model life cycles, scalability, and performance.
Master Data Management 2024
Master data management (MDM) is a technology-enabled discipline in which business and information technology (IT) collaborate to ensure the uniformity, accuracy, stewardship, semantic consistency, and accountability of an enterprise's official shared master data assets.
The Master Data Management Market Study analyzes current MDM perceptions, use, and intentions and provides valuable insight on crucial aspects of MDM, including deployment options, the number of domains managed, MDM assessments, and the support of artificial intelligence and machine learning.
In 2024, MDM ranks 20th among the 63 strategic business intelligence (BI) technologies and initiatives under study, maintaining relative priority with data governance (15th) and data catalog (17th), technologies strongly associated with MDM.
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