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Featured Dresner Research
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.
The Data Organization Doesn’t Make Leaders—Leaders Make the Data Organization
Data-leadership roles—often carrying the title of chief data officer (CDO) or chief analytics officer (CAO)—have received considerable attention from business executives, industry analysts, and the press over the last several years. However, our data indicate that not all of these roles are sustaining or effective. The tenure of CDOs and CAOs shows no substantial increase over time, while the effectiveness of these roles varies widely, with the data likewise revealing minimal increases across the years.
These data reflect that many organizations still need to figure out which factors most influence the ability to deliver business value from data-leadership positions. Just establishing such roles will not guarantee meaningful results. To derive high levels of strategic value from data leadership, organizations must place the right type of people in those roles, locate these positions optimally in their reporting structures, and ensure the roles have the right focus and competencies.
Governance Is Not Compliance—It Is a Key Competency for Modern Competitive Advantage
Most organizations aspiring to be Hyper-Decisive® need to make a critical shift in their perception of governance, and view it as a strategically impactful capability, rather than a simple compliance-oriented activity. Organizations across all industries recognize that governance competencies play a key role in ensuring successful data and analytics investments that deliver business value. This perception stems in part from more IT and business leaders viewing critical data assets and analytics as strategic enablers of the business outcomes they seek. As such, data leaders, business intelligence (BI) teams, and executives in general now focus more on the value of these assets—and not just the degree to which their organizations protect the security and privacy of these assets.
The value of data and analytic assets arises not from security and privacy protections but instead comes from their quality, consistency, ability to be found and accessed—as well as the degree to which people in an organization know these data and analytic assets exist, and understand how they can be used to meet strategic goals. This broader view of governance represents a massive change in perceptions for many organizations. As a result, more organizations now make governance a top priority for high-level roles such as the chief data officer (CDO) and chief analytics officer (CAO), removing governance from its historical purview as a regulatory compliance function.
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.
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.
Small and Mid-Size Enterprise BI, and EPM Market Studies
The 2024 Small and Mid-Size Enterprise Business Intelligence Market Study and Small and Mid-Size Enterprise Performance Market Study examine business intelligence (BI) and enterprise performance management (EPM) usage and trends within small and mid-sized organizations (SMEs). The studies provide a detailed analysis of how their deployments and views differ from each other and from large organizations.
According to the research, the most common functional drivers of BI in organizations of any size are executive management, operations, IT, and finance. BI targeting of customers and individual contributors and professionals has increased steadily across the past years of study.
In 2024 usage of EPM among SMEs continued its upward trend, increasing to 63 percent from 48 percent in 2023. The increase in adoption is largely driven by small organizations. SMEs rate financial budgeting and planning as the most important enterprise performance management capability, ahead of more ‘hot topic’ areas like environmental, social, and governance reporting.
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.
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