How to build the best analytics stack

Have a specific question? Query our research catalogue with the Nucleus AI Tool.

As organizations recognize the pivotal role of data and AI utilization in building and maintaining competitive advantage, investments in the analytics stack have become a strategic imperative. Scaling data volumes and workloads heighten the importance of driving efficiency in these investments. While the goal is clear, the journey to achieving improved efficiency is nuanced and contingent on various factors including the current state of an organization’s data and analytics stack, past investments, the nature of analytic workloads, and the technical capabilities of internal personnel. Throughout the past few years, Nucleus has recognized how different approaches align with the specific needs of organizations, providing insights into crafting an analytics stack that truly enhances operational efficacy and promotes successful financial outcomes.

Learn more about Nucleus Research’s ROI case study approach here.

Gain the knowledge you need to effectively develop and deliver a financial business case at ROIUniversity.com.

Have a specific question? Query our research catalogue with the Nucleus AI Tool.

Learn more about Nucleus Research’s ROI case study approach here.

Gain the knowledge you need to effectively develop and deliver a financial business case at ROIUniversity.com.

RELATED RESEARCH

    iPaaS deployments in financial services return $1.47 per dollar invested

    Organizations in the financial services industry face unique integration requirements driven by years of acquisitions, business growth, and regulatory mandates that have created diverse system…

    Analytics deployments in financial services return $2.13 per dollar invested

    In financial services, where capital access has become commoditized, analytics and data intelligence represent one of the only meaningful differentiators. To investigate the value delivered…

    IBM announces intent to acquire Confluent

    IBM announced its intent to acquire Confluent for $11 billion, combining IBM’s transactional messaging platform with Confluent’s Kafka, WarpStream, and managed Flink offerings. Most enterprises…

    The value of Qlik Open Lakehouse

    Enterprises across nearly every industry require a substantial amount of well-managed data to drive modern operations, with AI use-cases only accelerating this demand. As with…

    Top 5 analytics trends for 2026

    In 2026, business users, frontline workers, and end customers all expect analytics access. What was once relegated to specialized analyst teams is now finding its…

    Oracle Analytics returns $4.76 per dollar invested

    Nucleus examined ROI case study data for Oracle Analytics deployments conducted over the past three years and found that customers’ investments in Oracle Analytics Cloud…