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April 03.2025
3 Minutes Read

Why Precisely's Acquisition of DTS Software Signals New Era for Data Management Solutions

Futuristic server room with clouds and glowing servers for Precisely Acquires DTS Software.

The Synergy Between Precisely and DTS Software

The recent acquisition of DTS Software by Precisely represents a transformative moment for both companies in the realm of data management solutions. By integrating DTS’s renowned mainframe storage optimization expertise, Precisely aims to elevate the level of service it offers to enterprises grappling with the complexities of managing vast data ecosystems. The synergy derived from this acquisition is expected to create solutions that not only enhance data integrity but also improve the operational efficiency of enterprises that are increasingly dependent on data-driven decision-making.

Gaining a Competitive Edge in Data Management

Precisely’s strategic acquisition highlights a significant trend within the tech industry: the urgent need for businesses to innovate in data management. The Forrester report, suggesting that over half of the global firms utilizing mainframes plan to expand their use, indicates a growing reliance on traditional architectures. By combining their resources, Precisely and DTS Software can develop tools that give businesses a competitive edge—streamlining workflows, automating processes, and fine-tuning storage management capabilities that are crucial for operational success.

Addressing the Growth in Data Usage

With the rapid growth in data generation, companies face large challenges in data storage and management. DTS Software has established a reputation for excellence in this field, providing solutions that automate and optimize data storage effectively. As organizations look to harness new technologies—such as machine learning and artificial intelligence—the need for seamless integration of mainframe and modern data solutions becomes paramount. This kind of integration is where Precisely’s long-standing experience can shine, offering businesses the tools they need to flourish in an increasingly data-heavy landscape.

Technological Implications and Future Directions

As organizations adapt to changing technology trends, the relationship between mainframe architecture and newer technologies like artificial intelligence and robotics will be crucial. The combined efforts of Precisely and DTS Software may pave the way for innovative applications that further enhance data integrity and streamline data workflows, responding to the emerging trends in how businesses operate. For instance, implementing artificial intelligence algorithms could make data processing more efficient, drastically reducing the time taken to generate actionable insights.

Key Takeaways from this Acquisition

The merger of Precisely and DTS Software is not simply a business acquisition; it’s a forward-looking strategy aimed at addressing current challenges faced by global enterprises. Here are a few important takeaways:

  • DTS’s tools will enhance Precisely’s capabilities, improving overall business performance.
  • Firms using mainframes can expect more tailored solutions that fit their unique needs, thus optimizing their operational processes.
  • As the need for efficient data management grows, so does the importance of companies like Precisely in ensuring organizations can leverage their data assets effectively.

Conclusion: The Path Ahead

In conclusion, the acquisition of DTS Software positions Precisely as a more formidable competitor in the global marketplace for data management solutions. By addressing the challenges many organizations face in their data journeys, Precisely and DTS are set to empower businesses, ensuring data integrity and ease of access in an evolving tech landscape. Whether data exists in cloud environments, on-premises, or hybrid setups, this collaboration appears promising for enterprises seeking enhanced operational efficiency.

Don’t wait to leverage the evolving power of data management solutions. Stay informed and explore how integrations like these can benefit your organization today!

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11.14.2025

Zetaris Shifts Gears with Michael Hay's Appointment as CTO: Key Implications for AI and Data Management

Update The Appointment of Michael Hay: A Transformative Era for Zetaris Zetaris, a leader in data infrastructure, has announced the appointment of Michael Hay as the new Chief Technology Officer. This strategic move is poised to turbocharge the company's mission to address significant challenges faced by enterprises in managing their data effectively, particularly in the context of AI readiness. Why is Data Access Crucial for AI? Organizations today contend with data fragmentation, which can impede their ability to leverage AI fully. With a rising urgency to prepare data for AI, Michael Hay's expertise becomes particularly pertinent. His previous experience includes leading technology strategies at Hitachi Vantara and Teradata, where he developed data solutions aimed at enhancing accessibility and operational efficiency. According to a report from the World Economic Forum, AI has the potential to contribute nearly $20 trillion to the global economy by 2030, thereby underscoring the necessity for firms to embrace effective data management strategies without the complexity often associated with traditional methods. Hay’s appointment signals a proactive step by Zetaris to ensure that its customers can access real-time, AI-ready data while mitigating the risks of data duplication and complex processes. A New Vision for the Modern Lakehouse for AI Michael Hay describes Zetaris’ vision for the Modern Lakehouse for AI as a revolutionary leap in data management, moving beyond outdated paradigms. In his words, "The Modern Lakehouse for AI represents a fundamental shift in how organizations can leverage their data assets." With his leadership, Zetaris aims to streamline data access, thus assisting businesses in accelerating their AI initiatives while reducing costs and operational complexities. Expert Insights into Transformative Technology What makes Hay a compelling choice for this role is his track record: he has spent over two decades innovating in data analytics and storage technologies, which have coincided with the evolution of data management paradigms. Transitioning from traditional databases to more dynamic frameworks, such as the lakehouse architecture, reflects the modern approach to data being touted by various data leaders including those at Hitachi Vantara, who support rapid AI deployment methodologies. The Intersection of AI and Business Strategy Tied to business outcomes, AI deployment requires a strategic framework. As articulated in Michael Hay's previous writings, organizations must reevaluate their AI efforts not merely as technological undertakings, but as pivotal elements in achieving business goals. Hay argues that the absence of clarity in objectives often leads to failed initiatives. This gently nudges firms toward the core values of being customer-centric—principles that will undoubtedly guide his endeavors at Zetaris. His approach aligns with the three-tiered framework for AI deployment. Companies must first assess off-the-shelf solutions for data handling before evolving to customized and then proprietary solutions, reflecting a sophisticated understanding of the evolving business landscape. Prioritizing data quality as central to successful AI strategies ensures that organizations can effectively harness technology without incurring unnecessary overhead. Looking Forward: What Does This Mean for Enterprises? The arrival of Michael Hay at Zetaris may herald a new chapter not just for the company but for the industry at large. Moving prominently into the AI landscape, businesses are keen to adopt technologies that not only offer them a competitive edge but also facilitate seamless integration across their operations. A focus on reducing complexity in data handling while maintaining AI readiness will be crucial for those aiming to thrive in an increasingly data-driven economy. In conclusion, as the tech landscape rapidly evolves, the key to unlocking enterprise potential lies in effective leadership steering organizations through the complexities of data landscapes. Zetaris' choice in Michael Hay symbolizes a stride towards enhancing AI capabilities for businesses around the globe.

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