ESG Brief: Fueling Data Innovation with Self-service

Abstract:

As organizations look to make data and analytics capabilities available to more stakeholders, providing the right tools, technology, and training for all employees rooted in self-service is proving valuable. A key benefit of self-service is productivity. Experts and generalists alike benefit from self-service technology to ensure faster ramp-up, fewer interruptions, and ongoing improvements in day-to-day tasks.

Topics: Data Platforms, Analytics, & AI Business intelligence

ESG Complete Survey Results: From Data Backup to Data Intelligence

Abstract:

ESG conducted a comprehensive online survey of IT professionals from private- and public-sector organizations in North America (United States and Canada) between August 3, 2021 and August 14, 2021. To qualify for this survey, respondents were required to be IT professionals personally responsible for data protection and data management technology decisions for their organization.

This Complete Survey Results presentation focuses on the evolution of traditional data protection processes to more holistic data management strategies in which data is better understood and reused for other technical and business purposes.

Topics: Data Protection Data Platforms, Analytics, & AI

ESG Brief: Business Intelligence Pervasiveness Fueling Adoption of Advanced Capabilities

Abstract:

With a goal of broadening BI usage throughout the business, organizations are turning to advanced BI capabilities. Embedded analytics, mobile application delivery and support, augmented analytics, self-service enablement, low-code/no-code, and natural language querying are expected to rapidly grow in adoption to enable the business to better leverage data and empower more end-users to gain access to actionable insight.

Topics: Data Platforms, Analytics, & AI

ESG Brief: Business Intelligence Adoption Trends: Business Objectives and Challenges

Abstract:

Business intelligence has long served as a technology-driven process for analyzing data and delivering actionable information that helps a variety of roles—from executives and managers to business analysts and data scientists—make more informed business decisions. With the understanding that the goal of BI initiatives is to drive better business decisions that enable organizations to increase revenue, improve operational efficiency, and gain competitive advantages over business rivals, it is no surprise that organizations continue to prioritize BI, as can be seen through larger investments and more end-user exposure throughout the business.

Topics: Data Platforms, Analytics, & AI

ESG Research Report: 2022 Technology Spending Intentions Survey

Abstract:

In order to assess technology spending priorities over the next 12-18 months, ESG recently surveyed 706 senior IT decision makers representing midmarket (100 to 999 employees) and enterprise-class (1,000 employees or more) organizations in North America, Western Europe, and Asia-Pacific. All respondents were personally responsible for or familiar with their organization’s 2021 IT spending as well as their 2022 IT budget and spending plans at either an entire organization level or a business unit/division/branch level.

Topics: Storage Cybersecurity Data Protection Networking Data Platforms, Analytics, & AI Converged Infrastructure Enterprise Mobility Cloud Services & Orchestration data management

ESG Complete Survey Results: Cloud Analytics Survey

Abstract:

ESG conducted a comprehensive online survey of IT decision makers and data architects from private- and public-sector organizations in North America (United States and Canada) between May 3, 2021 and May 15, 2021. To qualify for this survey, respondents were required to be IT decision makers and data architects with knowledge of/responsibility for their organization’s analytics initiatives and goals.

This Complete Survey Results presentation focuses on the impact of public cloud services on data analytics initiatives, including benefits and challenges, as well as what matters most to organizations when evaluating these technology solutions.

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

ESG Infographic: The Path to Data Leadership: Embracing Business Intelligence to Achieve Data-driven Success

Abstract:

Business intelligence is the key to data-driven success according to new ESG research—with organizations on the leading-edge of data analytics usage revealing they enjoy a variety of competitive advantages.

Topics: Data Platforms, Analytics, & AI

ESG Brief: The Rise of the All-flash Data Lake

Abstract:

Data is the fuel of the business, creating new value and offering greater insights. A data lake environment plays a foundational role in helping extract value from data, and artificial intelligence initiatives are no exception. As the demand for faster access to data increases, massive scalability is no longer enough for modern data lake environments, so these environments increasingly leverage flash-level performance as well.

Topics: Storage Data Platforms, Analytics, & AI

ESG Brief: AI and the Massive Success Problem

Abstract:

The recent and massive uptick in AI investments has been driven by the fact that these projects are, by and large, successful. This success often fuels an increase in the number of AI objectives, which places greater demands on IT and the underlying infrastructure. To ensure continued success with AI, the right infrastructure must be in place to consolidate data storage and accelerate its usage across the entire data pipeline.

Topics: Storage Data Platforms, Analytics, & AI

ESG Research Report: The Path to Data Leadership

Abstract:

Data teams and developers continue to serve as the lynchpin to businesses, overcoming shortcomings associated with more rapidly and reliably gaining insight from growing data sets. With improving data analytics for real-time business intelligence (BI) and customer insight consistently ranking as one of the business priorities driving significant technology spending, how are organizations enabling more end-users to actually leverage data? Skills gaps, collaboration, and accessibility have created several barriers for democratizing analytics across organizations, and pressure is being placed on data and software teams to make business intelligence easier to leverage and consume. But with the dynamic nature of the business being what it is today and the constant shifting of priorities, timeliness of delivery and accessibility of simplified analytics are being scrutinized. Embedded analytics is increasingly becoming the answer.

Topics: Data Platforms, Analytics, & AI