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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.
Research Insights
Published throughout each month, Research Insights are thought leadership articles, covering important topics and issues, with pointed advice and recommendations for readers.
Why Data Leaders Need to Care About Active Data Architecture™
Data architectures and their supporting technologies and capabilities (including analytic data infrastructure, and data engineering and data catalog products) face increased technology and business pressure to meet the requirements of more complex, diverse, and distributed business intelligence (BI) and analytics use cases and applications. The scale, distribution, mission-criticality, and pace of change facing data leaders and their teams is outpacing the ability of current architectural approaches. Data architectures that lack flexibility, adaptability, and scalability lead to challenges as organizations struggle to capture benefits and achieve positive returns from their BI investments.
In the face of these challenges, although data leaders realize they need to modernize data architectures to better support BI and analytics needs, they are unclear on how to do so in a game-changing manner. Approaches that continue to emphasize centralization, consolidation, physical data movement, and use-case-specific optimization remain common. Although better extract, transform, and load (ETL) processes and data-warehouse enhancements may yield marginal value gains, they will not create the breakthroughs needed to support the BI needs of the modern, Hyper-Decisive® organization.
Criticality of MDM to Data Leadership
Master data management (MDM) represents a perennial issue for many organizations that want to establish and maintain a common frame of reference (some use the phrase “single source of truth”) within key organizational data and analytics. For many and for too long, many business leaders view MDM as an “IT thing,” allowing and enabling pursuit of master data objectives in the absence of explicit connection to business value chains and business processes.
In all instances, achieving high quality, high confidence, and ultimately high trust in the most critical data for organizations—customers, products, vendors, charts of account, and similar—is foundational. Master data domains are the “nouns” around which business value chains are organized.
Dresner Advisory’s 5th Annual Business Intelligence Value Index®: Focus on Revenue to Deliver More Business Value From BI
2023 was a good year for growing revenue through the application of business intelligence (BI). Initiatives focused on revenue generation, compared to those focused on reducing costs, showed three times better results.
Consequently, the Dresner Advisory Services BI Value Index® rose to 10 percent in 2023, reversing a three-year downtrend. Most of the increase in the index came from a significant increase in organizations reporting the highest level of return on investment (ROI) from BI.
Organizations also tend to attach roughly equal importance to using BI to increase revenue or reduce costs. However, achievement data show that in 2023 organizations did a better job increasing revenue than cutting costs.
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.
Self-Service Business Intelligence 2024
The 2024 Self-Service Business Intelligence Market Study, part of our Wisdom of Crowds® series of research, examines end user perception and trends around self-service business intelligence (BI).
Self-service BI builds upon governance, data storytelling, collaborative support, generative AI, and natural language analytics to create an environment where users can easily create and share insights in a managed and consistent fashion.
In 2024, end-user self-service ranks 13th of 63 technologies and initiatives strategic to business intelligence, and fifty-five percent of respondents say self-service BI is critical or very important.
The perceived importance of end-user self-service correlates directly and positively to success with BI in 2024. In addition, the importance of end-user self-service gradually increases with organization size, as organizations seek to standardize and democratize the scale and scope of user constituencies and communities.
Collective Insights 2024
Collective Insights® builds upon our definition of Collaborative Business Intelligence and
adds user governance to the mix.
Collaborative Business Intelligence is a process where two or more people or organizations work together to develop a common understanding, which is shared and used to build consensus in support of organizational decision making.
User governance enhances the collaborative BI environment with facilities for directing content creation and sharing, thus improving information consistency and accelerating group-based decision making.
Guided Analytics 2024
Guided Analytics® improves time to insight and action by supporting the creation of connections between related and relevant information and directing and suggesting analytical story flow. It is an important topic for organizations seeking to better leverage both information resources and scarce human experts to drive improved group-based decision-making in a governed fashion.
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