Insight

  • The Criticality of Data for Customer Experience (CX)

    Data and its free flow between service, sales, marketing, and commerce applications are foundational to the creation of digital customer experiences. Recent research by TechTarget’s Enterprise Strategy Group delved into the data management and platforms challenges organizations are facing in pursuit of customer experience (CX) goals, as well as subsequent impacts on technology spending in this area.

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  • Customer satisfaction is one of the keys to retaining loyal consumers who repeatedly purchase goods and services as well as recommend the business to consumers. Strong customer experience (CX) programs support customer satisfaction by ensuring their interactions with the brand are smooth, timely, and relevant at every stage. Recent research by TechTarget’s Enterprise Strategy Group shows that the responsibility for executing CX strategies has begun to shift from a marketing function to a more holistic initiative within the customer service domain.

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  • While technology convergence has seemed to accelerate with the shift to platforms and architectures such as secure access service edge (SASE), the organizational changes required to support such adoption can be overlooked. Recent research by TechTarget’s Enterprise Strategy Group shows that the separation of networking and cybersecurity teams continues to challenge organizations as they pursue SASE implementations, though a possible solution to this problem is coming to the fore in the form of centers of excellence.

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  • The artificial intelligence movement over the last several years has been enabled by the exponential growth in computing power, data, algorithms, and use cases. As AI is increasingly integrated across industries, AI infrastructure decisions have become pivotal to support widespread deployment as well as the need to satisfy resource-heavy AI workloads. Recent research by TechTarget’s Enterprise Strategy Group found that a range of factors are now top of mind for executives shaping their AI strategies.

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  • Modern workstyles have pulled users and applications outside of the traditional corporate perimeter. While this freedom of work may bolster productivity, it increases cybersecurity risk. Recent research by TechTarget’s Enterprise Strategy Group revealed some interesting findings about organizations’ use of secure access service edge (SASE) technologies to mitigate these disruptions and where they may be overlooking an important component of the architecture: remote browser isolation.

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  • In an era where the effective use of AI technology can mean sinking or swimming in highly competitive business waters, organizations are laser-focused on making sure their AI models are fine-tuned and well trained to enhance their operations. But training AI algorithms on real customer data can risk compliance and privacy violations. Recent research by TechTarget’s Enterprise Strategy Group examined how organizations are using synthetic data to avoid data governance problems with AI training and whether this is delivering the anticipated advantages.

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  • As businesses across the globe pursue AI to revolutionize their businesses, the powerful infrastructure required to support these innovations and transformations is driving an increased focus on responsible purchase strategies. Recent research by TechTarget’s Enterprise Strategy Group revealed that sustainability concerns are taking center stage as organizations grow their AI infrastructure initiatives and footprints.

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  • The hype around AI transformation has infiltrated business lines across all areas of organizations, and with freely available generative AI (GenAI) technology, anyone can take the opportunity to explore AI’s possibilities. Recent research by TechTarget’s Enterprise Strategy Group closely examined the actions of formal stakeholders for AI initiatives today and reached some nuanced conclusions about who should be involved in these decisions and when.

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  • AI has become a key investment for organizations as they seek to foster innovation and gain a competitive edge. But selecting and deploying the right AI solution is still quite challenging, often entailing substantial initial and ongoing investments of time, people, and money. Recent research by TechTarget’s Enterprise Strategy Group sought to understand the time-to-value situation for AI projects today and what this might say about innovation in the AI market in general.

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  • Governance Hurdles Hinder Midmarket Organizations

    In a competitive business climate that is driving constant and massive data growth, maintaining sound data governance practices and compliance with regulations has become a major priority for IT and business leaders alike. Recent research by TechTarget’s Enterprise Strategy Group revealed that a certain type of organization is struggling more than others with important data governance practices.

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  • Cloud Data Recoverability Leaves Much to Be Desired

    By a wide margin, most organizations are satisfied with data recovery speed in the public cloud, according to Enterprise Strategy Group’s research. However, half are recovering 75% or less of their data, and the overall average is 69% on recoveries of cloud-based data. Improvements are needed to approach or match service levels common in other mission-critical IT processes. One option that could help: on-premises storage of key operational data to augment cloud data protection tools.

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  • The cloud data protection market is growing quickly: Enterprise Strategy Group’s research found that the use of cloud-based services will be close to universal soon. But data protection is an increasingly dynamic process, with a majority of organizations reassessing their strategies every 12 to 36 months. The lack of consensus on the differences between BaaS and DRaaS technologies could complicate buying decisions for prospective users, who should focus on their organization’s requirements and how different vendors can meet them.

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