The pace of BI tool consolidation projects increased in recent years and now sits at an all-time high level, with 36 percent of organizations reporting plans to consolidate business intelligence (BI) tools. Organizations reporting high degrees of success in their…
Data leaders and their teams historically emphasized “getting the right tools” in place and then judging whether business intelligence (BI) tools work well for their organizations. Although tool choice matters, data leaders increasingly realize more important factors also contribute to…
The objectives of business intelligence (BI) initiatives remain fairly consistent over the years, with most organizations, across industries, leading BI business cases with the rather generic goal of “better decision making.” This vague objective does not specify: Which decisions will…
Dresner Advisory Services believes that a “golden age” of enterprise performance management (EPM) software is dawning. EPM solutions are mature and highly functional in all areas, widely available in the cloud, and leverage artificial intelligence (AI) in ways that enable…
Analytical platforms continue to mature and gain traction in the market. In 2024, a slight majority of organizations (55 percent) favor deploying and using an integrated analytical platform from a single vendor, while a minority of respondents (albeit a sizeable…
Even with the advent of amazing information access delivered by generative artificial intelligence (AI) systems, most organizations still consider it difficult to find business-relevant content and analyses. They also perceive data protection (and protection of all analytic assets) increasingly critical…
Environmental, social, and governance (ESG) reporting represents the lowest-priority capability in enterprise performance management (EPM), with 25 percent of respondents viewing ESG reporting as unimportant. However, organizations that consider ESG reporting potentially important also tend to defer addressing it. Different…
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…
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…
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…
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…
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…
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…
Dresner Advisory’s Fifth Annual Business Intelligence Success Index®: In the Gen AI Era, a Strong BI Foundation Is Key to Accelerating Data and Analytics Strategies Economic forces continue to make a number of organizations reexamine and reprioritize many projects, including…
To capture the benefits of more adaptable, flexible, and automated infrastructure to support evolving BI needs better, organizations must modernize several technology capabilities. Most important is the need to deliver a “layer” that helps translate the myriad of physical and…
Business decision-making processes and approaches vary widely. An increasing number of organizations strive to identify critical business decisions to make and then use data-driven approaches to inform their options and support their final choices. Others apply a process that begins…
Our latest data show that use and perceived importance of system integrators (SIs) and consultants continues to rise. Organizations increasingly allocate greater percentages of their data and analytics project budgets to the use of SIs and consultants. In addition, expertise…
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…
Our latest data show that between 72-82 percent of organizations use or plan to use generative AI at some point. Although that number is down from the nearly 90 percent rate reported in 4Q23, it still includes a strong majority…
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…
