... Know Analysis ChapsVision Coveo Elastic Glean Technologies Google IntraFind Lucidworks Microsoft Mindbreeze SearchBlox Squirro Ingest Data (Common Sources) Ingest Data (Uncommon Sources) Deploy Flexibly Semantic Search Secure Retrieval In-Application Experiences Agentic Integration Entity Centricity ...
Analyst(s): Darin Stewart | Stephen Emmott | Tim Nelms | Jed Cawthorne
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... Access Insights Already a Gartner client? Customer success management platforms use a data- and AI-driven approach to guide customers toward value realization and monitor account health. Use this research to compare provider capabilities for deployments ranging from small to large, as well as integrated ...
Analyst(s): Daniel Hawkyard | Michael Maziarka | Maria Marino | Andy West
... minute Consult the Board survey summary features inputs from 12 Data and Analytics Research Board members on the size, management, and rationalization of enterprise dashboard ecosystems as well as the anticipated shift toward AI‑driven data consumption. Overview Summary of Results Survey Questions and ...
... Procurement often delays savings by pursuing complete data, stronger supplier relationships, and more rigorous governance. Top CPOs deliver faster impact by acting on “good enough” data, mastering supplier economics, and simplifying processes that drive stakeholder behavior. Insights at a Glance Issue ...
... The privacy officer ideally operates as an internal representation of a data protection authority, focusing on individuals’ privacy and the protection of their personal data. This job description helps cybersecurity leaders and recruiters communicate role definitions and skills requirements. When to ...
Analyst(s): Bart Willemsen | Tisha Bhambry | Shadrock Roberts
... often struggle to explain complex budget changes to business stakeholders without clear data visualization. Use this customizable waterfall chart template to highlight key drivers of budget variance and support data-driven discussions on cybersecurity investments. When to Use Directions for Use Contributors ...
... Data management leaders moving toward lakehouse architecture often find wasted efforts and costly fixes due to misaligned expectations and insufficient planning. This research explores best practices for moving to the lakehouse to maximize its potential as the next step in modernizing data systems. ...
Analyst(s): Thornton Craig | Henry Cook | Ehtisham Zaidi | Prasad Pore
... challenges and opportunities driven by five critical factors: geopolitical tensions, AI advancements, talent scarcity, increasing regulations and government data control. These drivers are poised to significantly impact supply chain performance over the next three to five years, necessitating urgent and strategic ...
... Cost optimization is one of the most challenging problems for data architects and data engineers of lakehouse on the cloud. Without understanding fundamental areas of cost concerns of the lakehouse, cost optimization efforts will not achieve optimal cost-efficiency. Insights at a Glance Issue Impact ...