Cloud and AI Demand a New Data Strategy
Enterprise data environments continue to grow more complex. Organizations migrate to the cloud, adopt SaaS platforms, and invest in AI. However, many still struggle to understand what data they have, where it resides, and how they use it. This lack of visibility increases security risk, slows innovation, and drives up compliance costs.
BigID’s 2025 AI Readiness Report reveals that 87% of organizations believe their current data strategy is not adequately prepared for AI. Seventy percent do not fully understand the data their models use. Without clear insight into data, they cannot trust outcomes.
AI Depends on Clean, Well-Managed Data
AI and digital transformation rely on data. But most organizations manage data in silos. They manually classify data and rely on disconnected tools and policies. As a result, they face data sprawl, hidden risk, and limited control.
This is not just an IT issue. It creates real business problems. Poor data hygiene drives up cloud costs, skews AI models, and increases breach exposure. Older methods cannot keep up with the pace or complexity of modern data.
How to Fix Data Risk
Organizations must improve visibility, automate intelligently, and apply consistent policies. A modern data approach should:
- Découvrir et classer all data across environments
- Comprendre sensibilité des données, ownership, residency, and risk
- Identify and cleanse redundant, obsolete, and trivial data
- Apply access controls and usage policies
- Track data lineage and verify AI model inputs
These capabilities help build trust in AI and support digital operations.
Putting Strategy into Practice
Solving these challenges takes more than technology. Organizations need a clear plan, experienced partners, and scalable execution. Many rely on those who understand both strategic goals and day-to-day data operations.
A global retailer recently faced these issues. With over 50 brands and more than 12,000 data tables, their teams struggled with siloed and dark data. Despite months of manual discovery, they lacked the insight to manage risk, meet compliance needs, or make timely business decisions. Over 162,000 individuals experienced delays caused by unresolved data issues.
The retailer partnered with Accenture and BigID to launch an eight-week data discovery project. They scanned more than 534,000 data assets using machine-led fingerprinting and lineage analysis to find gaps and prioritize remédiation. The team enhanced data protection, met compliance requirements, and responded faster to regulatory requests, handling up to 200 data security and compliance requests daily across 180 business units.
Looking ahead, the retailer can unlock new value from their data. With clean, accurate, and well-classified information, they can train AI models more confidently, respond faster to business needs, and build a stronger foundation for future digital initiatives. Their investment in data visibility and governance now supports long-term innovation and agility.
What BigID and Accenture Deliver Together
BigID and Accenture help enterprises close the visibility gap. Together, they:
- Automatisé découverte et classification des données across cloud, SaaS, and on-premises environments
- Risk-based automation to focus efforts where they matter most
- Soutien à migrations vers le cloud et Préparation à l'IA
- Integrate privacy, compliance, and governance workflows
Accenture brings global delivery experience and transformation expertise. BigID provides the data intelligence platform that enables results.
Build a Stronger Data Foundation
Organizations must enhance their data governance to leverage AI and mitigate risk effectively. BigID and Accenture help clients:
- See their full data landscape
- Minimize exposure to stale or sensitive data
- Enforce privacy, access, and politiques de conservation
- Prepare AI systems with safe, well-governed data
Start with the Data
Every digital initiative starts with data. Without visibility, organizations cannot protect or use it effectively.
BigID and Accenture give organizations control over their data. They reduce risk, improve decision-making, and accelerate progress.
When you can see, understand, and trust your data, everything changes — from compliance to innovation.
See What Your Data Can Do
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