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M&A

SmartBear Acquires QMetry: Pioneering the Future of AI-Augmented Test Management

SmartBear is thrilled to announce our acquisition of QMetry, a leader in AI-enhanced test management solutions, into the family. This merger is not merely about expanding our already robust solutions—it’s about revolutionizing the delivery of software quality across industries. In today’s fast-paced tech landscape, addressing software quality issues is critical; they can significantly impact customer satisfaction and financial growth, while flattening the quality cost curve.

Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

We are excited to announce the acquisition of Octopai, a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. Cloudera’s mission since its inception has been to empower organizations to transform all their data to deliver trusted, valuable, and predictive insights.

Snowflake Acquires Night Shift Development, Inc. to Accelerate Growth in US Public Sector

Data is increasingly becoming critical for the public sector — from guiding decisions in higher education to enhancing citizen services and streamlining government operations. Government agencies are overwhelmed with data, whether it be structured, like incident logs, or unstructured, like satellite images. Harnessing the vast amount of data can become a burden for any organization, yet the insights have the potential to significantly improve quality of life and strengthen national security.

The Guide to Data Integration in Merger and Acquisition

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.

Navigating Data Management Challenges in Mergers & Acquisitions: 9 Best Practices for a Smooth Transition

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.

Streamlining Data Migration In Mergers and Acquisitions

When Facebook acquired WhatsApp in 2014, they had to integrate an enormous amount of data—450 million monthly active users generating billions of messages, photos, and videos daily—into Facebook’s systems. This data migration required precise planning and execution to ensure a smooth transition and prevent data loss while maintaining the accuracy and integrity of the information.

The Role of Data Governance in Successful Mergers and Acquisitions: Why It Matters

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.

The Impact of Data Quality on M&A Success

Technological advancements are driving mergers and acquisitions (M&As) at an unprecedented rate. Companies aim to extend their market reach, acquire new technologies, and achieve cost synergies through these deals. For instance, in 2023, nearly 40,000 mergers and acquisition (M&A) deals were completed worldwide. For a successful merger, companies should make enterprise data management a core part of the due diligence phase.