Tech News

62% OF SAUDI LEADERS ARE FAILING TO USE THEIR DATA EFFECTIVELY, NEW CLOUDERA REPORT FINDS

Published

5 months ago

April 17, 2026

Cloudera, the only company bringing AI to data anywhere, today released its latest global survey, The Data Readiness Index: Understanding the Foundations for Successful AI, examining how prepared enterprises are to support AI at scale. Surveying more than 300 IT leaders in the EMEA region, including strong insights from Saudi Arabia, the report finds that while AI adoption is growing, most organizations still lack the data foundation needed for success.

The findings highlight a sharp contrast in how effectively organizations track their data. Nearly 9 in 10 EMEA IT leaders claim complete visibility into where all their data resides, compared to just 32% of respondents in Saudi Arabia. Furthermore, 62% of Saudi respondents cite data access restrictions as a major roadblock to effective data use.

This gap highlights an emerging ‘AI readiness illusion’: the belief that organizations are prepared to scale AI even as critical data challenges remain unresolved.

“Enterprises aren’t struggling to adopt AI, they’re struggling to operationalize it beyond experiments,” said Sergio Gago, Chief Technology Officer at Cloudera. “AI is only as effective as the data that fuels it. Without seamless access to all their data, organizations limit the accuracy, trust, and business value that AI can deliver. You can’t do AI without data.”

AI Adoption is High, but ROI Remains Elusive

While AI is now deeply embedded across the enterprise, achieving consistent returns on investment remains difficult due to a sharp geographical divide in implementation hurdles. Across EMEA, the struggle is largely centered on the inputs, with data quality issues (18%) and cost overruns (16%) cited as the primary causes of lackluster ROI. However, Saudi Arabia presents a different challenge focused on execution. In the Kingdom, weak integration into workflows is the overwhelming barrier at 29%, nearly doubling the concern over data quality, which sits at 15%.

These regional nuances are further tangled by significant infrastructure limitations. Around 65% of respondents in KSA report that performance constraints have hindered operational initiatives, highlighting the immense difficulty of scaling AI across fragmented environments.

Bridging The Data Gap

At the core of these challenges is a significant disconnect between data optimism and operational reality.

The report highlights that 95% of KSA respondents are highly confident in their data, but only 32% of that data is currently fully governed. While this outpaces the broader EMEA region, where only 26% of data is governed despite 91% confidence, it highlights a critical execution gap that organizations are now racing to fill.

The Kingdom is uniquely positioned to bridge this divide with 100% of Saudi respondents ready to adopt new governance frameworks, and 79% being extremely willing to transform their operations. This regional commitment suggests that Saudi Arabia’s proactive approach will likely outpace its peers in the race toward AI and digital maturity.

Strategic Alignment and the Accountability Gap

While leadership in both the EMEA and KSA regions understands the necessity of data infrastructure, the execution and accountability frameworks are worlds apart. More than 90% of EMEA respondents report a well-defined data strategy tied directly to business objectives, while only over half (53%) of Saudi Arabian respondents feel the same level of alignment.

Accountability and internal culture further widen this divide. In EMEA, 69% of leaders hold the CIO or CTO chiefly responsible for data readiness, whereas in Saudi Arabia, only 35% place ultimate responsibility on this role, indicating a more emerging ownership structure.

Beyond accountability and alignment, respondents in Saudi Arabia face a unique internal hurdle: 50% struggle with insufficient data literacy, while nearly a third (32%) cite a lack of executive sponsorship.

Data Readiness Will Define the Next Phase of Enterprise AI

As enterprise AI shifts from experimentation to execution, data readiness is emerging as the defining factor separating leaders from laggards.

Organizations able to fully access and govern all their data, wherever it resides, are far better equipped to deliver trusted, scalable AI. Notably, every respondent in the report indicated their organization is willing to adapt existing frameworks to support true data readiness.

As enterprises confront the limits of the AI readiness illusion, the path forward is clear: unlocking AI’s full value will require more than ambition; it will demand genuine data readiness. Those that close this gap will be best positioned to drive lasting impact and lead the next era of intelligent business.

Tech News

Datadobi Adds Data Access Governance to StorageMAP, Enabling Enterprises to Answer the Critical Question: “Who Has Access to What?”

Published

3 hours ago

September 26, 2026

Integrator Web-Editor

Datadobi, a leader in the Data Storage Management Services space, today announced the general availability of Data Access Governance (DAG) within StorageMAP. The new capability gives organizations visibility into who has access to their unstructured data and whether that access aligns with corporate policy. It extends Datadobi’s ability to help enterprises discover, align, and operationalize data across fragmented environments as their intelligence and orchestration layer.

As AI initiatives, cyber threats, and rising data complexity expose the limits of traditional approaches, DAG addresses a critical gap: organizations cannot govern, protect, or extract value from data they cannot see or control. As AI initiatives, cyber threats, and rising data complexity expose the limits of traditional approaches, DAG addresses a critical gap: organizations cannot govern, protect, or extract value from data they cannot see or control.

StorageMAP’s DAG capability gives administrators comprehensive visibility into access permissions across fragmented unstructured data environments. By surfacing who has access to what data, and whether that access aligns with business and security policy. Organizations can detect misaligned permissions, reduce cyber exposure, and enforce governance at scale. This visibility is the essential first stage of the broader DSMS discipline — visibility, understanding, decision, execution — that determines whether organizations can act on their data with confidence.

The introduction of DAG extends StorageMAP’s existing capabilities across data discovery, classification, risk assessment, lifecycle management and AI Data Readiness. Together, these capabilities help organizations to discover what data they have, align it with business value and risk requirements, and operationalize policy-driven action across their environments. The result is unstructured data that supports AI initiatives, strengthens cyber resilience, reduces cost, and drives long-term business value rather than holding it back.

DAG, which was trialed by a number of beta customers, supports a range of enterprise use cases, from protecting sensitive data and reducing breach impact, to maintaining records compliance and managing risk through mergers, acquisitions, and divestitures. Early access customers identified a gap in their understanding of which critical datasets were exposed and who could access them, often relying on manual investigation to respond to audits and security incidents.

With Datadobi’s DAG capabilities, these organizations quickly identify overexposed data and validate access controls to proactively strengthen their security posture. For organizations investing in AI, it provides the governance foundation that trusted, well-governed data requires. And for those subject to data protection regulations (such as GDPR, HIPAA, or PCI DSS), it delivers the visibility needed to demonstrate that access controls are in place, operating as intended, and aligned with business policy.

“Unstructured data is at the center of every major enterprise challenge right now including AI readiness, cyber resilience, cost management, and regulatory compliance,” said Michael Jack, Co-founder and Chief Revenue Officer for Datadobi. “But organizations cannot address any of those challenges with data they cannot see or control. Data Access Governance gives teams the visibility to understand who has access to what, identify where risk exists, and take action to bring their unstructured data under control. It is a foundational step in turning unstructured data from a source of risk and complexity into a driver of business value.”

Tech News

Cloudera and Muroon Announce Strategic MoU

Published

1 day ago

September 25, 2026

Integrator Web-Editor

In a strategic move to advance enterprise digital enablement and support the technological ambitions of Saudi Vision 2030, Cloudera, the only true hybrid platform for data, analytics, and AI, has agreed to a Memorandum of Understanding (MoU) with MuroonI the technology and digital enablement subsidiary of Tawuniya.

The proposed collaboration aims to evaluate opportunities to help organizations across the region modernize their technology capabilities, accelerate digital transformation, and unlock long-term business value. By leveraging Cloudera’s products and services, the engagement will explore how Cloudera’s hybrid data platforms and AI-driven analytics can help to boost Muroon’s expanding IT and digital enablement objectives.

Under the proposed partnership, Muroon and Cloudera will aim to collaborate on delivering secure data exchange and modern cloud architecture. Integrating Cloudera Anywhere Cloud™ principles, the proposed collaboration will explore ways to deliver a consistent cloud experience, enabling organizations to deploy AI and analytics workloads across private data centers and cloud environments with unified governance and security.

The proposed alliance creates complementary roles for both organizations. Muroon will leverage its delivery capabilities, consulting expertise, implementation services, across the Tawuniya ecosystem and the wider region. Cloudera will look to provide technology leadership, platform expertise, solution architecture, and technical enablement.

Ahmad Shakora, General Vice President of META, Cloudera, said:
“Our proposed collaboration with Muroon represents an important milestone in empowering regional organizations with modern hybrid data and AI architectures. Through Cloudera’s ability to bring AI and analytics to data anywhere it resides, combined with Muroon’s deep digital enablement and implementation capabilities, we aim to accelerate innovation, ensure secure data management, and actively contribute to the digital economy goals of Saudi Vision 2030.”

Faisal Bakhsh, Vice President of Business Development and Services Delivery at Muroon, added:
“As the technology arm of Tawuniya Group, Muroon is dedicated to delivering cutting-edge digital solutions that drive operational efficiency and business growth. Exploring this partnership with Cloudera allows us to harness world-class hybrid data and AI platforms to expand our service capabilities, facilitate secure data exchange, and deliver transformative value to our ecosystem and clients across Saudi Arabia.”