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        Analyst Perspectives

        Despite best intentions, many organizations still struggle with some fundamental aspects of data processing and analytics. Taking data from operational applications and making it available for analysis is a first step, but data management remains a perennial challenge. Data movement and transformation difficulties can lead to delays and data quality problems that prevent organizations from generating value from data. The inability to govern and integrate data from multiple data sources prevents...

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        Topics: Cloud Computing, Data Management, Data, Digital Technology, data operations, Analytics & Data

        Cloud computing has emerged as the catalyst for a shift from digital transformation to digital modernization. This technology offers many advantages, including heightened agility, cost reduction, improved collaboration, enhanced security and accelerated innovation. Hybrid and multi-cloud strategies offer distinctive strengths that enable organizations to optimize the IT infrastructure necessary for digital transformation and modernization efforts.

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        Topics: Cloud Computing, Digital Technology

        I previously explained the arguments in favor of adoption of distributed SQL databases, the new generation of operational data platforms designed to combine the benefits of the relational database model and native support for distributed cloud architecture. It is critical for distributed SQL vendors to engage with developers to ensure they are considering the importance of resilience that spans multiple data centers and/or cloud regions as they choose the databases that will underpin...

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        Topics: Cloud Computing, Data, Digital Technology, Analytics & Data, operational data platforms

        A lot has been written about the definition of generative artificial intelligence (AI) and large language models (LLMs), though less has been written about the business considerations for an organization to evaluate adopting and implementing these technologies. And more importantly, does the technology align with the Office of the CIO objectives and the goals of the business? The value of generative AI software must be put into terms that all stakeholders can relate to. And organizations cannot...

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        Topics: Digital Technology, natural language processing, Collaborative & Conversational Computing, AI and Machine Learning

        Data fabric has grown in popularity as organizations struggle to manage data spread across multiple data centers, systems and applications. By providing a technology-driven approach to automating data management and governance across distributed environments, data fabric is attractive to organizations seeking to simplify and standardize data management. I assert that by 2025, more than 6 in 10 organizations will adopt data fabric technologies to facilitate the management and processing of data...

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        Topics: Cloud Computing, Data Management, Data, Digital Technology, data operations, Analytics & Data, Analytic Data Platforms

        The digital transformation movement was about making wholesale changes in the use of technology across all lines of business and functions. It required organizational change on a large scale, including adapting the organization’s culture, retraining or rehiring the workforce and process realignment. Change management and a significant time commitment to implement change were necessary while maintaining existing operations.

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        Topics: Cloud Computing, Digital Technology, Digital Business, Governance & Risk

        I am happy to announce that I have taken on a new role at Ventana Research to lead the firm’s overall research and advisory for the CIO and technology leader practice. The area focuses on digital modernization and the transformation necessary for IT teams to be successful across an organization. The market coverage spans Cloud Computing, Digital Security, Generative AI and the technologies driving Intelligent Automation.

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        Topics: Digital Technology

        The data and analytics sector rightly places great importance on data quality: Almost two-thirds (64%) of participants in Ventana Research’s Analytics and Data Benchmark Research cite reviewing data for quality and consistency issues as the most time-consuming task in analyzing data. Data and analytics vendors would not recommend that customers use tools known to have data quality problems. It is somewhat surprising, therefore, that data and analytics vendors are rushing to encourage customers...

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        Topics: Analytics, Data Governance, Data Management, Data, Digital Technology, natural language processing, Analytics & Data, AI and Machine Learning

        MicroStrategy is a long-standing business intelligence and analytics vendor that operates worldwide. Founded in 1989, this publicly traded company with hundreds of millions of dollars in revenue recently held its first in-person conference since prior to the pandemic. Similar to previous in-person events, the event was well attended by about 2,000 attendees and exhibitors. The theme, “MicroStrategy ONE,” is a way to explain the breadth of capabilities the company offers. The breadth of the...

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        Topics: embedded analytics, Analytics, Business Intelligence, Digital Technology, natural language processing, Analytics & Data

        Artificial intelligence (AI) has evolved from a highly specialized niche technology to a worldwide phenomenon. Nearly 9 in 10 organizations use or plan to adopt AI technology. Several factors have contributed to this evolution. First, the amount of data they can collect and store has increased dramatically while the cost of analyzing these large amounts of data has decreased dramatically. Data-driven organizations need to process data in real time which requires AI. In addition, analytics...

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        Topics: Analytics, Digital Technology, natural language processing, Analytics & Data, AI and Machine Learning
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        Our Analyst Perspective Policy

        • Ventana Research’s Analyst Perspectives are fact-based analysis and guidance on business, industry and technology vendor trends. Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights.

          Each is prepared and reviewed in accordance with Ventana Research’s strict standards for accuracy and objectivity and reviewed to ensure it delivers reliable and actionable insights. It is reviewed and edited by research management and is approved by the Chief Research Officer; no individual or organization outside of Ventana Research reviews any Analyst Perspective before it is published. If you have any issue with an Analyst Perspective, please email them to ChiefResearchOfficer@ventanaresearch.com

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