... Data and analytics leaders often seek Gartner’s guidance on managing their engagement with Palantir toward their desired business outcomes. Use this research to understand Palantir’s delivery model, and thereby plan and carry out your Palantir engagement successfully. More Detail Gartner Recommended ...
Analyst(s): Mark Beyer | Rita Sallam | Ehtisham Zaidi | Robert Thanaraj
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... Packaging data quality is a growing risk for organizations as legislation requires reporting, accuracy, and accountability. The vendors highlighted in this research are transforming the market with innovative AI and data expertise, enabling supply chain technology leaders to address data quality. Overview ...
... Migrating data to a new cloud ERP system capable of supporting composability is a crucial process demanding careful preparation, planning and extensive data governance. ERP leaders can use the three steps and best practices in this research to prepare for the data migration process. Overview Introduction ...
... Research Already a Gartner client? Many data quality initiatives fail due to the high cost of achieving and maintaining a universal quality level versus business benefits gained. Data and analytics leaders can use this research to methodically determine appropriate data quality levels for specific use cases ...
... management for indirect suppliers can be challenging due to poor-quality data. Heads of supplier management can use this research to see the most common KPIs used in scorecards in measuring indirect supplier performance. Data Snapshot Data Insights What You Need to Do What You Need to Know Contributors Gartner ...
Analyst(s): Preeti Singla | Michael Ryan | Andrea Greenwald | Jeremy Suter
... adopt agentic AI in CRM, organizations first face a data challenge. AI-ready customer data becomes a high bar for organizations to fully leverage AI potential. CRM leaders can use this research to understand the changing requirements of customer data management and drive agentic AI deployment in their ...
Analyst(s): Melissa Davis | Simon Whight | Olive Huang
... The rise of GenAI techniques and the growing need to govern unstructured data are straining data governance efforts. Data and analytics leaders responsible for D&A governance need to urgently reset their D&A governance operating models and adopt newer best practices to meet the evolving opportunities ...
Analyst(s): Nina Showell | Andrew White | Sarah Turkaly | David Pidsley | Anurag Raj | Deepak Seth
... Data-driven culture change is a significant challenge that can seem like a massive undertaking outside D&A leaders’ control. However, there are six targeted, pragmatic change management techniques that can increase the willingness and ability of staff across the organization to make data-driven decisions ...
... aids data and analytics leaders in performing stakeholder analysis, defining requirements, and linking them to business outcomes. By focusing on the themes of value, information and analytics (VIA), it enables data and analytics leaders to articulate business value more effectively, foster a data- and ...
Analyst(s): Donna Medeiros | Alan D. Duncan | Sally Parker