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The Failed Promises of Digital Transformation and What to Do About It

Ontotext

Digital Transformation, which has been a top priority for CEOs and boards of directors for many years, has had mixed results. These failures are at least partly due to the absence of graph technologies, at the center of those transformations, allowing companies to “connect the dots” across their data to drive optimal outcomes.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Leveraging data where it lies.

Analytics 108
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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

Optimized Operational Efficiency: These tools streamline processes and resource allocation, leading to cost savings and improved resource utilization. These innovative solutions pave the way for future trends in healthcare, shaping the industry’s digital transformation journey.

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A look into the lifecycle of software-defined infrastructure with NTT DATA’s Technology Solutions

CIO Business Intelligence

The beauty of software is that it can help connect businesses to business priorities such as profitable growth, better experiences and cost, and optimization. Software is starting to run through everything from on-premises to remote services and enables automation, analytics, insights and cybersecurity. Digital Transformation

Software 119
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Business process management (BPM) examples

IBM Big Data Hub

And while enterprise resource planning (ERP) integrates and manages all aspects of a business, BPM focuses on its individual functions—optimizing the organization’s existing, repeatable processes end-to-end. BPM uses workflow automation to automate repetitive tasks such as data entry, reconciliation and report generation.

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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. Ensure that sensitive data remains within their own network, improving security and compliance.

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12 considerations when choosing MES software

IBM Big Data Hub

MES systems can assist managers with process management and process control, helping to facilitate optimal performance of manufacturing. By facilitating optimized production planning and scheduling, these systems ensure efficient resource allocation, workload balancing and on-time deliveries, leading to improved profitability.