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What is data fabric architecture? The case for data fabric 4 key facts about data fabric architecture Data fabric architecture can modernize and future-proof your data approach Data fabric architecture is a virtual data layer that connects any number of external systems together to provide unified access and a complete, 360-degree view of an organization’s data. Whether your data lives in legacy systems or multi-cloud environments, a data fabric can connect these systems together for a unified view.

Implementing a modern, integrated data architecture can help you break down data silos, which cause C-suite decision-makers to lose 12 hours a week. Furthermore, more than 60% of organizations agree that data silos represent a significant business challenge. The solution is a data architecture that eliminates silos, and that’s where the data mesh vs. data fabric debate comes in. While both data architectures work to eliminate data silos, they differ in their approaches (more on that later).

Cloud operations were once the logical next step for streamlining business processes, but now they have become the go-to solution for maximizing operational efficiency. With the advent of ‘cloud-first’ architectures and strategies, cloud computing is the rule, not the exception.

Businesses handle massive amounts of data daily. To make informed decisions, this data must be optimized for accuracy and consistency, which requires effective data management. However, for best results, data management must be coupled with data governance, which provides essential frameworks to manage data quality and security. Data stewardship takes it a step further.

Twelve years ago, a Wakefield Research survey revealed that 1 in 3 Americans thought cloud computing was somehow related to the weather. Fast forward to today, 67% of enterprise infrastructure in the US is cloud-based. Given that 92% of enterprises already have a multi-cloud strategy in place or in the works, it’s evident that embracing cloud migration is no longer just an option but a strategic necessity.

Businesses struggle with complex IT ecosystems. Facing increasing market pressures and constant change, they often add new solutions to solve problems. But over time, the complex systems used to automate and optimize business processes lead to significant technical debt (and management nightmares). IT orchestration helps businesses manage their IT seamlessly. It simplifies business processes, optimizes resource use, extends existing IT investments, and enhances efficiency.

Mergers and acquisitions (M&A) have become a stepping stone to corporate growth strategies. Companies worldwide are actively turning to these deals to expand market reach and drive financial performance. The latest data from EY-Parthenon confirms this trend, with M&A activity projected to surge by 12% in 2024. While the idea of combining companies is undeniably exciting, a critical yet often overlooked factor that can either make or break a deal is data governance.

Mergers and acquisitions (M&As) are strategic business activities where two or more companies join forces by combining their assets, operations, and management structures, often resulting in a unified entity or allowing one company to absorb another. These transactions are typically pursued to enhance competitive advantage, expand market share, or achieve operational efficiencies.

In the high-stakes world of business, mergers and acquisitions (M&A) represent a strategic move for companies to accelerate growth, diversify offerings, and enhance market presence. As reported by Bain & Company, the world of strategic M&A witnessed 27,000 deals announced, totaling approximately $2.4 trillion in the year 2023. M&A deals, whether they involve acquiring a competitor, entering a new market, or merging with a complementary business, reshape industries.