Data and Data Management

Efficient data management, encompassing the systematic collection, organization, and retrieval of data, is fundamental for enhancing productivity, efficiency, and informed decision-making. Regardless of their scale or industry, organizations benefit significantly from implementing a robust data management strategy and adopting a modern data management system. This ensures streamlined operations and optimized use of information, facilitating better decision-making processes. The integration of Enterprise Resource Planning (ERP) solutions further enhances the effectiveness of data management, providing organizations with comprehensive tools to manage and utilize data seamlessly across various facets of their operations.

Data and Data Management
Why ERP Leaders Need to Understand Data Lakehouses Before Scaling AI Agents
Data lakehouses are emerging as the essential infrastructure layer for enterprise AI — providing ERP leaders with a governed, cross-system data foundation where AI agents can operate safely, semantically, and at scale. This analysis explains what a data lakehouse is, why it matters for agentic AI, and what ERP leaders must address before scaling autonomous AI across critical business workflows.
Finance automation and treasury management
Financial Management
Perplexity Tests the Real Finance AI Question: Can the Agent Show Its Work?
Perplexity has introduced a finance-specific AI agent designed to provide trusted data integration, robust audit trails, and prebuilt workflows for corporate finance teams, emphasizing the importance of traceability for meeting audit and reporting requirements.
Data and Data Management
SYSPRO eBook: Governance and Compliance Built In
The SYSPRO eBook outlines how mid-sized manufacturers can integrate compliance and governance into their daily operations to ensure audit readiness, featuring tools for lot traceability, quality automation, supply chain visibility, industry standards support, and procurement controls.
Data and Data Management
How Millbrook Beds Scaled Manufacturing and Grew Orders by 300% with SYSPRO
Millbrook Beds transformed its manufacturing and order management with SYSPRO, achieving a 300% increase in orders and the ability to serve 400 more customers by enhancing production efficiency and launching a 48-hour Fast Track delivery service.
Customer Journey to ERP
CRM and Customer Experience
SAP Is Pushing Autonomous CX Expansion with Parloa, Google Cloud, AWS Partnerships
SAP's June 15 partner brief urges its ecosystem to expedite the rollout of Autonomous CX, integrating various SAP platforms and enhanced through new partnerships with tech giants, aiming to streamline customer experience workflows and drive industry-specific solutions.
Armstrong AI data SAP
Data and Data Management
‘AI Is a Business Challenge, Not an IT One; Data Is the IT Problem,’ Q&A with Armstrong World Industries
Armstrong World Industries is proactively developing a strong data foundation to effectively scale AI across the enterprise, driven by the complexity of their data environment due to mergers and acquisitions, emphasizing that AI is a business challenge requiring strategic integration rather than merely an IT fix.
SAP Mumbai data center
Cloud Platform and Technology
SAP Opens Mumbai Data Center to Expand Business Network Federation
SAP has opened a new data center in Mumbai to enhance its Business Network data federation capabilities in India, ensuring local data residency compliance while facilitating global trade connections for Indian buyers and suppliers.
An open human hand holding a glowing red holographic key formed from circuit-board patterns and streaming binary digits, symbolizing a governed Enterprise Data Layer as the key to SAP S/4HANA AI readiness.
Data and Data Management
Why SAP S/4HANA Migration Alone Won’t Make You AI-Ready
ERP migration modernizes systems, not enterprise knowledge. Here's why a governed Enterprise Data Layer, not a clean S/4HANA core, is the real foundation for enterprise AI.
Analytics and AI
IBM and ServiceNow Target Legacy Systems and Data Readiness for AI at Scale
IBM and ServiceNow announced a multi-year collaboration to modernize legacy applications, enhance AI-ready data governance, and integrate autonomous operations into IT workflows, aiming to overcome barriers to enterprise AI by evolving existing systems and improving data management and operational integration.
Analytics and AI
The Next Enterprise AI Wave Will Reach Beyond Agents, Says SAP Labs US Managing Director
At SAP Sapphire, Global Head of Research & Innovation Yaad Oren discussed SAP's forward-looking exploration of emerging technologies like AI, data, user experience, robotics, quantum computing, and cloud architecture, urging customers to embrace current AI capabilities while also preparing for future innovations.
Oracle AI World Tour
Analytics and AI
IBM Closes Out 2026 Oracle AI World Tour with a Clear Message: AI Is Now an Operational Imperative
IBM's 2026 Oracle AI World Tour highlighted the transition of enterprises from questioning AI adoption to leveraging it for tangible business value, showcasing success stories and practical guidance across major cities while emphasizing the importance of intentional design, robust governance, and integrated systems for effective AI implementation.
Orbital data centers
Analytics and AI
AI’s Data Center Crunch Sends Compute Ambitions into Orbit
As demand for infrastructure grows due to AI, cloud and space companies are investigating orbital data centers as a solution to terrestrial constraints like land and energy shortages, with initiatives from companies like SpaceX and Google, although challenges remain regarding optimal workloads and economic viability.
Data and Data Management
Customer Success: Chery Republic
By implementing Acumatica, Cherry Republic achieved significant, measurable results that powered its expansion. The company sustained fifteen percent year-over-year growth, reduced reporting time by forty percent, and cut manual errors by fifty percent. This efficiency and data accuracy also enhanced...
Data and Data Management
AI-Ready Enterprise Data: The Missing Layer Between ERP Transformation and AI
JiVS IMP creates a governed enterprise data layer that unifies operational data, historical records, archived information, and business documents across SAP and non-SAP systems. Organisations can retire legacy applications, maintain compliance, preserve enterprise knowledge, and make trusted enterprise data available...
SAP Executive Interviews
Analytics and AI
SAP Sapphire Interviews: SAP Executives Say AI Is Pushing ERP Back to the Center of Business Strategy
At SAP Sapphire 2026, Maura Hameroff and David Vallejo emphasized that AI is transforming ERP systems into strategic business frameworks that enhance enterprise decision-making by integrating industry knowledge and addressing fragmented data, thereby enabling companies to efficiently navigate modern challenges in supply chain management and overall business operations.
Deutsche Telekom German Sovereign AI Contract
Analytics and AI
SAP and Deutsche Telekom Put Sovereign AI at the Center of German Public Administration
Germany is implementing a public-sector AI strategy through a new SAP and Deutsche Telekom platform designed to deliver secure AI services and infrastructure for federal, state, and municipal administration, marking a significant shift towards shared digital infrastructure and sovereignty in AI governance.
Boomi World 2026
Analytics and AI
Boomi World 2026 Pushes Enterprise Platform Toward Agentic AI Governance
At Boomi World 2026, Boomi unveiled a comprehensive strategy to transition AI agents from pilot programs to enterprise workflows through enhanced orchestration, connectivity, context, and governance, supported by partnerships with Red Hat and Couchbase, ultimately positioning itself as an active data foundation for the emerging 'agentic enterprise'.
Cybersecurity
Security
Sage-IDC Research Reveals SMB Cybersecurity Gaps in the AI Era
A Sage-IDC study reveals that while small and medium-sized businesses (SMBs) are significantly increasing their cybersecurity investments, a disconnect exists between spending intentions and actual implementation, exposing many to cyber threats due to a lack of governance and preparedness, particularly in the face of accelerating AI adoption.
SAP Sapphire customer keynote
Analytics and AI
SAP Sapphire Customer Keynote Shows AI Value Depends on Readiness, Data, and Standardization
At SAP Sapphire 2026, the customer keynote made a definitive case: AI value in the enterprise depends on readiness, data standardization, and clean core ERP foundations—not experimentation. Through transformation stories from Lockheed Martin, ExxonMobil, Levi Strauss, and Aeropuertos Argentina, SAP reinforced that organizations succeeding with AI have built the operational and data infrastructure to support it on SAP S/4HANA and BTP.
EU flag displayed on the glass exterior of the European Parliament building, representing ERP governance questions around the EU AI Act delay.
Governance, Risk, and Compliance
What the EU AI Act Delay Means for ERP Governance
The EU AI Act delay eases some near-term compliance pressure, but ERP teams still need to build governance evidence around how AI is used across business processes.
SAP Sapphire 2026 Keynote
Analytics and AI
‘Will SAP Be a Software Company in the Future?’ Sapphire 2026 Keynote Maps SAP’s New ERP Stack
At SAP Sapphire 2026, CEO Christian Klein declared that SAP is becoming a business AI company, introducing the Autonomous Suite, Joule Studio 2.0, a company memory layer, and centralized agent governance as the pillars of SAP's reimagined ERP stack.
enterprise generative AI
Analytics and AI
Without Data Foundations, Enterprise Generative AI Hits a Value Ceiling: Q&A with Fern Halper
In Q&A with ERP Today, TDWI VP of Research Fern Halper explains why AI pilots stall, what breaks when enterprise data foundations are weak, and how organizations can operationalize AI for long-term ROI.
Analytics and AI
SAP Targets Data and Model Gaps with Dremio and Prior Labs Acquisitions to Advance Enterprise AI Architecture
SAP aims to enhance enterprise AI by acquiring data platform Dremio and AI research firm Prior Labs, addressing fragmented data environments and improving model performance on structured business data, thereby integrating data infrastructure and AI model development into a unified architecture.
Office infrastructure representing SAP API policy, ERP integration, AI access, and controlled enterprise data pathways.
Application Development and Integration
SAP API Policy Raises New Questions About ERP Integration and AI Access
SAP’s updated API policy is raising questions about ERP integration, AI access, and partner products. The policy puts new scrutiny on undocumented APIs, large-scale extraction, and the supported pathways customers and partners use to access SAP data.
Large warehouse with organized rows of boxes representing structured procurement workflows and supply chain coordination.
Spend Management and Procurement
Why Procurement Platforms Are Now Judged on Adoption and Workflow Execution
Procurement platforms are no longer judged on features alone. This analysis shows how adoption, workflows, and governance now define platform value, with Scanmarket by Unit4 as a leading example.
CRM and Customer Experience
ERP Today 2025 Awards: Customer Experience Moves to the Core of ERP Strategy
SugarAI won the Customer Experience Solution of the Year award for its successful transformation of Country Fare by leveraging sales data to enhance customer engagement and proactive relationship management, while Inetum was recognized as a runner-up for optimizing service delivery using AI.
Office environment representing France’s tech dependency plan and shift from Windows to Linux across public sector IT systems.
ERP Strategy and Planning
How France’s Tech Dependency Plan Could Influence ERP Decisions
France’s tech dependency plan requires ministries to map reliance across infrastructure, AI, and core systems, introducing new scrutiny that may influence ERP evaluation and system design.
SAP earnings results showing cloud revenue growth, current cloud backlog, and Business AI strategy
Analytics and AI
SAP Q1 Earnings Shows Cloud Strength, but Can the AI and Backlog Momentum Hold?
SAP delivered a Q1 earnings beat, but the more important story was beneath the headline numbers. The company showed strong cloud growth and expanding backlog, while also signaling likely deceleration ahead and a gradual shift toward Business AI as a consumption-based revenue model.
Empty enterprise office environment with desks and workstations, representing business operations, workflows, and organizational structure tied to unrealized AI value.
Analytics and AI
Companies Are Acting on AI Value They Haven’t Realized Yet
Most organizations say AI delivers value, but few can measure it consistently. New research shows that measurement maturity and operating models determine whether AI produces repeatable enterprise ROI.
Construction ERP cloud adoption
Cloud Platform and Technology
Construction ERP Survey Shows Demand for Cloud, but the Gains Remain Uneven
Construction firms emphasize the need for modern ERP systems with real-time data, mobile access, and integration, yet adoption rates vary, as many still experience operational challenges and unclear cloud migration progress despite a majority already using cloud-based solutions.
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