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.

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.

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.

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.

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.

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.

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.

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.

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.

CRM and Customer Experience

Q&A: SAP’s Balaji Balasubramanian on Turning Customer Experience into an Enterprise Growth Engine

SAP Customer Experience (SAP CX) is evolving from a front-office focus to an enterprise growth strategy that emphasizes connected data, efficient execution, and the integration of AI to create seamless customer experiences.

Data and Data Management

The Power BI Crash That Sparked a Data Revolution at Dodge Industrial

Dodge Industrial underwent a radical data transformation, shifting from a fragmented legacy system to a unified architecture using SAP Datasphere and S/4HANA, enabling agile governance and reliable data access for users.

Analytics and AI

SAP’s Reltio Deal Puts Data Quality at the Heart of ERP AI

Discover what SAP's acquisition of Reltio means for the ERP landscape. Learn why unified master data is now the critical foundation for enterprise AI success.

CRM and Customer Experience

SAP Engagement Index UK Report Reveals CX Failures Rooted in Data and ERP Integration Gaps

SAP’s latest Engagement Index reveals a growing gap between how businesses perceive customer experience and what consumers actually encounter. Fragmented data, weak AI execution, and siloed systems are driving dissatisfaction and brand abandonment. The findings highlight a shift in CX ownership toward enterprise data and architecture.

enterprise data architecture sapinsider las vegas

Data and Data Management

SAPinsider Las Vegas: Why Enterprise Data Architecture Must Change for the AI Era

At SAPinsider Las Vegas, Gaurish Dessai explored how enterprise data architecture must evolve for the AI era, shifting focus from reporting to decision-making and from centralized data to connected data products.

ERP Strategy and Planning

SAP Positions Itself as the Digital Backbone of New York Fashion Week

SAP is evolving its role at New York Fashion Week from event sponsor to infrastructure provider, collaborating with N4XT Experiences to create a connected, data-driven platform that enables real-time integration of enterprise systems and analytics for designers.

Data and Data Management

Beyond the Hype: 3 Structural Shifts Every SAP Leader Must Make In 2026

At this year's Digital Lounge @ Davos, over 200 leaders acknowledged the industry's shift from the allure of AI capabilities to focusing on data sovereignty, accountability, and governance as critical components for ensuring responsible AI implementation, underscoring the importance of addressing legacy data management and integrating AI within a broader risk landscape.

Data and Data Management

New Year, New Core: Why 2026 Is the Year to Finally Let Go of SAP Legacy Data

As SAP organizations approach 2026, the imperative to eliminate legacy data and systems is heightened by the need for a Clean Core strategy. The JiVS Information Management Platform offers a solution to effectively decouple historical data and streamline data migration to SAP S/4HANA.

Governance, Risk, and Compliance

SAP Sustainability Control Tower: New Analytics Tab Enhances Reporting

SAP has enhanced the Sustainability Control Tower with an Analytics tab in the Analyze ESG Data app, allowing detailed, customizable views of ESG metrics, facilitating compliance with EU sustainability regulations, and enabling teams to manage reporting data efficiently.

ERP Strategy and Planning

RISE with SAP: Cloud ERP Adoption Accelerates Ahead of 2027 Deadline—SAPinsider Benchmark Report

SAPinsider’s RISE with SAP 2025 benchmark shows cloud ERP adoption accelerating as the 2027 end-of-maintenance deadline approaches. New data reveals how generative AI, security readiness, and organizational size are shaping SAP S/4HANA Cloud Private migration decisions.

Cloud Platform and Technology

Shedding Data Baggage for a Leaner SAP Cloud

Migrating to SAP Cloud ERP Private promises streamlined processes and agility, but organizations must first conduct a thorough assessment of their data to avoid complicating the transition with unnecessary legacy information, which can drive up costs and hinder performance.

Supply Chain Management

Creating Supply Chain Value Through Analytics and AI

AI and analytics are transforming supply chain management by automating repetitive tasks, redefining planner roles into strategic storytellers, and providing decision intelligence to navigate disruptions.

Human Capital Management

SAP, Oracle Lead the Charge as AI-Driven Performance Management Market Targets USD 6.33B by 2030

The employee performance management market is expected to grow from $3.52 billion in 2025 to $6.33 billion by 2030, driven by a shift towards continuous, analytics-enabled performance cycles embraced by major firms like Adobe and Microsoft, with AI-centric platforms at the core, as organizations increasingly link performance to skills-based talent strategies and digital transformation efforts.

Data and Data Management

The Gift No CIO Asks For (But Always Gets): Why SAP S/4HANA Projects Keep Inheriting the Past

CIOs face the challenge of managing legacy systems and historical ERP data, which often drains resources and complicates migration to SAP S/4HANA, but organizations can overcome this by decoupling data from applications using platforms like JiVS.

Analytics and AI

SAP, Microsoft Tighten Their Data Fabric to Boost AI Value for the Enterprise

SAP and Microsoft are enhancing their partnership with SAP Business Data Cloud Connect for Microsoft Fabric to enable bi-directional data sharing without replication, facilitating immediate access to SAP data for analytics and AI within a unified platform that supports cross-cloud interoperability and improved user experience.

Data and Data Management

Decommissioning SAP Legacy Systems: Turning Technical Debt into Strategic Value

To mitigate the significant costs and risks associated with maintaining legacy ERP systems, organizations should adopt a structured decommissioning strategy that focuses on total cost of ownership reduction and compliance risk mitigation through a phased approach involving data analysis, extraction, and secure archiving.

Data and Data Management

Good Enough Isn’t Good Enough When it Comes to Your Data: Kevin Campbell

A recent Syniti report highlights that while 70% of organizations have a data strategy, 86% worry data management issues will hinder AI adoption, with 79% identifying data management as a challenge for SAP S/4HANA migrations, emphasizing the need for a business-driven, data-first culture and skilled teams to succeed.

abstract tech image of a blue city and red and white car lights in long exposure with a sign of SAP "S/4HANA" between the lights

Data and Data Management

The SAP S/4HANA Data Dilemma: Why Data Strategy Can’t Be an Afterthought

The journey to SAP S/4HANA necessitates a fundamental rethinking of data management, emphasizing a selective migration of relevant data, prioritizing data quality especially in an AI-driven landscape, and effectively managing legacy data, all of which are crucial for transforming organizations' data from a liability to a strategic asset.

Data and Data Management

Chris Niederman to Lead Snowflake’s Alliances & Channels Business

Snowflake has appointed Chris Niederman as Senior Vice President of its Alliances & Channels business, effective July 21, 2025, to enhance its global partner system and drive growth through Snowflake AI Data Cloud amidst a rapidly expanding partner network.

Data and Data Management

Cutting Clean: How SNP Enabled Lulu Group’s IPO-Ready SAP Carve-Out in Record Time

Lulu Group International achieved a significant business transformation by successfully migrating 20% of its 6-terabyte SAP database from non-retail units in India, Egypt, and the UAE to new systems with minimal downtime, thanks to SNP SE's technology-driven approach, ahead of its IPO, setting the stage for future SAP S/4HANA migration.

Data and Data Management

Adeptia’s Innovation Engine: Deepak Singh on Simplifying Data Integration for the Modern Enterprise

Adeptia, an enterprise-class data integration platform led by Deepak Singh, distinguishes itself with a no-code, drag-and-drop interface that empowers non-technical users to automate data connections without heavy IT reliance, offering flexible deployment options and AI-driven automation to enhance operational efficiency and customer experience.

Data and Data Management

Beneath the Surface: The Hidden Danger of Migrating to SAP S/4HANA Without Clean Data

Migrating to SAP S/4HANA promises numerous advantages, but achieving a 'Clean Core' and effective digital transformation hinges on maintaining clean data, as unaddressed data quality issues can complicate the migration process and undermine potential benefits.