Six key external forces—economic uncertainty, the COVID-19 pandemic, the labor market, regulatory compliance, geopolitical instability, and supply-chain issues—are pressuring organizations to react, respond, and adapt to changing business conditions. The resulting rising cost of capital will challenge organizations to become…
As a relatively new title, the chief data officer (CDO) job description and portfolio is still evolving in detail, scale and scope, reporting structure, technicality, and accountability. Even so, some aspects of the CDO role are becoming clearer, often defined…
In all organizations, the finance function needs to produce specialized reports and analytics. Often referred to as “board books,” “management packs,” or similar wording, these reports include highly formatted financial statements and key management information such as actual / budget…
When operating according to the Dresner Hyper-Decisive® Maturity Model, a hyper-decisive enterprise has an advanced competency in applying available resources to maximize the value of their business intelligence (BI) investments (see the Research Insight “Introducing the Hyper-Decisive Maturity Model”). Organizations…
Our data continue to show increasing maturity overall for data science (DS) and machine learning (ML). User importance stands at a historic high across industries and roles. Industry importance sits near an all-time high. User perceptions of feature importance align…
During the last 10-15 years, decision makers in higher education increasingly realized the need for data-informed decision making and business intelligence (BI) as an enabler for this. As a result, schools invested in building out institutional research (IR) departments and…
As more organizations strive to more frequently make data-driven decisions, data latency remains an issue. Although data keeps arriving faster, in more than 50 percent of organizations a lag or delay of more than a day occurs before those data…
Dresner Advisory Services’ recent research on the impacts of external forces on organizations yields insights into how the rising cost of capital will challenge enterprises to become more Hyper-Decisive® or risk degraded operations, customer dissatisfaction, and competitive decline. This research…
by Charles Boicey, Brian Lett
Enterprise performance management (EPM) systems include strategic, operational, and financial-planning capabilities, along with financial reporting and analytics. In these times of continuing economic uncertainty, EPM systems can provide business leaders with rapid insights into how the business is performing and…
For decades, Business Intelligence Competency Centers (BICCs)—formal groups charged with defining, delivering, documenting, and promoting best-practice BI solutions—have facilitated cross-organizational BI initiatives and the sharing of insights and information. Our data consistently indicate that organizations with BICCs report greater BI…
In 2022, organizations have more data, from more sources, and more tools than ever before. Our data show that better decision making comes when it is data driven. “Data driven” is not a slogan; it is a framework of many…
Organizations increasingly ascribe high and increasing importance to data science (DS) and machine learning (ML). As production use of DS / ML models increases, so will the requirement for ModelOps—the discipline of defining, implementing, monitoring, automating, and improving the life…
A large number of organizations continue to face hurdles in sustaining progress toward higher levels of maturity in the Dresner Advisory Services Hyper-Decisive® Maturity Model (HDMM). These challenges arise mainly due to the highly fragmented nature of enterprise data and…
Data literacy has moved into the forefront, with most organizations talking about it and a majority attempting to implement programs to increase their rates of data literacy. However, less than one-third of organizations have been successful in their data-literacy initiatives.…
Remaining “current” with decision-making competencies often proves difficult. In many organizations, processes can easily languish after their creation. This happens because they lack the updates needed to remain in step with market and competitive requirements. Such lag can place an…
As the continuing impacts of the COVID-19 pandemic create business planning and execution uncertainties, Dresner Advisory Services’ primary research shows that organizations increasingly see business intelligence (BI) projects based in quality data and advanced analytics as resources that will help…
The biggest obstacles to technology adoption often are not technical. This is especially true for organizations considering use of artificial intelligence / machine learning (AI / ML) in enterprise performance management (EPM) software. Our data show that the majority of…
Most adults, acting in the best long-term health interests of their children, at one time or another dictate that kids just need to eat their vegetables. In many cases, palate preferences cause the children to balk at this directive; the…
Organizations often leverage systems integrators (SIs) and consultants to plan, build, run, and/or optimize their BI and analytics solutions. Engagement models include staff augmentation, project management, integrations, establishing success benchmarks and measures, and ongoing operational support. Most organizations report using,…
