TechTarget's Enterprise Strategy Group (ESG) Research

Mike Leone

ESG Senior Analyst Mike Leone covers converged and hyperconverged infrastructure, data platforms, data management, data analytics, and the emerging blockchain segment. Mike joined ESG as part of the validation team, where he provided third-party validation of claims made by vendors. In his analyst role, Mike draws upon his enthusiasm for bleeding edge technology as well as his engineering and marketing backgrounds to help IT vendors improve everything from product development and marketing to go-to-market strategies and roadmap adjustments.

Research Brief: Data Initiatives Spending Trends for 2023

by Mike Leone, on Feb 22, 2023

Abstract:

The complexity of gathering, maintaining, and interpreting huge volumes of data continues to plague organizations. It’s challenging to clean, integrate, and maintain data with goal of gaining rapid insight to help the business. But it’s not slowing down organizations in their prioritization of data initiatives. They recognize the value and game-changing potential of harnessing the power of data. It starts by properly defining objectives and desired outcomes and ends with data driving decision making and action to fuel innovation.

Topics: data management Data Analytics

Research Brief: The State of DataOps Implementations

by Mike Leone, on Dec 28, 2022

Abstract:

The demand for rapid actionable analytical insights is forcing organizations to prioritize agility, transparency, and speed across their data ecosystems. These enterprises are investing in data-driven initiatives that maximize operational efficiency, improve collaboration, and accelerate time to value. They're turning to DataOps.

Topics: data management Data Analytics

Research Brief: The Shift in DataOps Stakeholders

by Mike Leone, on Dec 28, 2022

Abstract:

Gone are the days when the data engineer was the key persona driving DataOps. IT operations, line-of-business leaders, developers, and end-users can all claim roles in the direction of their company’s DataOps initiatives. While this cross-functional team approach to DataOps is viewed as a positive trend, the ongoing technical skills gap in key DataOps positions continues to plague most organizations, overburden stakeholders, and compromise the value of DataOps initiatives.

Topics: data management Data Analytics

Research Brief: The Value of DataOps Initiatives

by Mike Leone, on Dec 28, 2022

Abstract:

Data quality issues, distributed data, tool proliferation, overburdened and underskilled teams, rising costs, and increased risk all contribute to the complexities of today’s data ecosystem that hinder the democratization of data and analytics. As a result, organizations are looking for ways to empower data teams to reliably deliver data and analytics to all consumers. DataOps processes liberate data silos and democratize workloads throughout the data lifecycle, yielding significant improvements in data quality, cross-functional collaboration, and analytics outcomes.

Topics: data management Data Analytics

ESG Brief: The State of Open Source in Cloud Analytics

by Mike Leone, on Nov 4, 2022

Abstract:

Many organizations use open source analytics and data management technology, which often serves as a foundation of their data-centric technology ecosystems. But deploying and managing open source tools and solutions are a challenge in many cases—a situation that calls for managed services to help ease the challenges and pave the way for increased open source adoption, especially in distributed cloud environments.

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration Systems Management

ESG Brief: The Argument for a Single Public Cloud Vendor to Support All Analytics Initiatives

by Mike Leone, on Nov 4, 2022

Abstract:

Many decision makers are interested in standardizing their analytics initiatives on a single cloud provider’s infrastructure and services. A large majority think their organization would be open to considering such a move. This research highlights what they’d be looking for by doing so—easier management, simplified support, and more. But it also points to a fundamental question: Can one vendor meet all of an organization’s data needs?

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration

ESG Brief: Data Integration in a Multi-cloud World

by Mike Leone, on Oct 26, 2022

Abstract:

Data integration is proving to be more complex in the cloud for a majority of organizations, especially ones that use public cloud services in multi-cloud environments as part of their analytics initiatives. Many are turning to new tools and managed services to help them cope with integration challenges. In a lot of cases, though, they're also moving to decrease the number of vendors they currently use.

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration Systems Management

ESG Brief: The Operational Management Conundrum of Data and Analytics in the Cloud

by Mike Leone, on Oct 26, 2022

Abstract:

Most organizations use technologies from a variety of public cloud and third-party software providers to support their data management and analytics strategy. That complicates ongoing operational management of cloud analytics environments, and multi-cloud deployments exacerbate the challenges—and the headaches they cause. This research highlights what organizations are doing to try to ease the pain without disrupting critical data workflows.

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration Systems Management

ESG Brief: The Continued Opportunity to Improve Time to Value in Data and Analytics Initiatives

by Mike Leone, on Oct 26, 2022

Abstract:

While most IT decision makers believe their organization is doing a good job of acting on data insights, it often takes weeks or months to generate and then act on those insights. There's an opportunity to do better by deploying new technologies and making the data lifecycle more efficient—and organizations that don't address the time-to-value gap may find themselves lagging behind faster and more agile rivals.

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration Systems Management

ESG Brief: Cloud Analytics Tools Adoption Trends

by Mike Leone, on Aug 30, 2022

Abstract:

More organizations are turning to the public cloud to support data initiatives, many of them using cloud services from both cloud providers and third-party software vendors. Within 12 months, sizable majorities of organizations plan to run various data management and analytics tools on public cloud infrastructure. Hybrid environments that also include on-premises systems often need to be maintained, but investments in cloud-based technologies clearly are on the rise to help meet data-driven business goals.

Topics: Data Platforms, Analytics, & AI Application & Infrastructure Modernization

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Research

Mike Leone

Recent Posts by Mike Leone:

Research Brief: Data Initiatives Spending Trends for 2023

Abstract:

Research Brief: The State of DataOps Implementations

Abstract:

Research Brief: The Shift in DataOps Stakeholders

Abstract:

Research Brief: The Value of DataOps Initiatives

Abstract:

ESG Brief: The State of Open Source in Cloud Analytics

Abstract:

ESG Brief: The Argument for a Single Public Cloud Vendor to Support All Analytics Initiatives

Abstract:

ESG Brief: Data Integration in a Multi-cloud World

Abstract:

ESG Brief: The Operational Management Conundrum of Data and Analytics in the Cloud

Abstract:

ESG Brief: The Continued Opportunity to Improve Time to Value in Data and Analytics Initiatives

Abstract:

ESG Brief: Cloud Analytics Tools Adoption Trends

Abstract:

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