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Jul 8 2024

Data Sprawl: Continuing Problem for the Enterprise or an Untapped Opportunity?

Data sprawl has emerged as a significant challenge for enterprises, characterized by the proliferation of data across multiple systems, locations, and applications. This widespread dispersion complicates efforts to manage, integrate, and extract value from data. However, the rise of data fabric and the integration of Platform-as-a-Service (iPaaS) technologies offers a promising solution to these challenges […]

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Building a Modern Data Platform with Data Fabric Architecture

In today’s data-driven landscape, organizations face the challenge of integrating diverse data sources efficiently. Whether due to mergers and acquisitions (M&A) or the need for advanced insights, a robust data platform with streamlined data operations are essential. Shift in Mindset Data fabric is a design concept for integrating and managing data. Through flexible, reusable, augmented, and […]

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Mind the Gap: Analytics Architecture Stuck in the 1990s

Welcome to the latest edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). Last month, we explored the data chasm. This month, we’ll look at analytics architecture. From day one, data warehouses and their offspring – data marts, operational […]

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Knowledge Graphs 101: The Story (and Benefits) Behind the Hype

Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. As a hub for data, metadata, and content, they provide a unified, consistent, and unambiguous view of data scattered across different systems. Using global knowledge as context for […]

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Unlocking the Power of Data with Process Mining

Data is invaluable to an organization, but it can also represent a major stumbling block if an enterprise hasn’t optimized how data is used to support processes that run operations. Process mining can play a role in helping organizations get an objective and detailed view of process flows – including fixing bottlenecks and delays that […]

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Supercharging Value from Data in 2024

Without a doubt, initiatives such as generative AI (GenAI) and cloud migration have garnered the bulk of attention among influencers and data leaders this year, as organizations tried to determine how, and if, they made sense for their business. This trend looks like it will continue in 2024, as nearly all of Gartner’s top strategic […]

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Usability and Connecting Threads: How Data Fabric Makes Sense Out of Disparate Data

Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. As data is generated, stored, and used across data centers, edge, and cloud providers, managing a […]

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A Step Ahead: Data Fabric and Data Mesh – Similarities and Differences

The terms Data Mesh and Data Fabric have been used extensively as data management solutions in conversations these days, and sometimes interchangeably, to describe techniques for organizations to manage and add value to their data. In this article, we intend to clarify these terms and explain the overlaps and differences to enable the readers to […]

🔴 Red Button Data

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Category Archives: data fabric