ESG Brief: The Advantages of a Data Science Team

Abstract:

As organizations look to prioritize data-driven initiatives, the success of those initiatives will be directly tied to people, processes, and technology. While data science may seem aspirational or even foreign to some organizations, ESG research shows direct ties between organizations with a data science team and better use of data, better use of technology, and better business outcomes. For those organizations looking to drive greater business value through the use of data, a formal data science team can help.

Topics: Data Platforms, Analytics, & AI

ESG Brief: Will Data Lakes Drown Enterprise Data Warehouses?

Abstract:

With the value of data continuing to increase, organizations are constantly looking for better and faster ways to store, access, and analyze it. While many organizations have existing technologies to help stream, collect, store, and analyze both structured and unstructured data, challenges remain that are preventing wider usage of analytics within these organizations. With a goal of consolidating infrastructure and operational silos to address a constantly growing data footprint, data lakes are increasingly becoming the technology of choice.

Topics: Data Platforms, Analytics, & AI

ESG Brief: Enterprise Data Warehouse Trends

Abstract:

Enterprise data warehouses (EDWs) have existed for about 20 years, serving as the foundation of insight-driven organizations, delivering timely analysis and reporting of structured data; handling large analytics workloads; and supporting the high levels of concurrency that organizations demand. But while EDWs have been a familiar presence in many organizations, as companies look to reduce their data center footprints, increase organizational agility, and incorporate as much data as possible into their analytics workflows, the architectural rigidity, complexity, and cost of traditional EDWs have paved the way for modern data warehouses to better respond to the dynamic needs of the business.

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

ESG Brief: Cloud-based Analytics

Abstract:

As organizations look for better ways to integrate, analyze, visualize, and leverage insights from constantly growing data sets, the rise of the cloud has garnered significant interest and traction in the analytics space. The cloud offers numerous enterprise-class attributes that make it more appealing than on-premises environments for organizations, whether they are looking to embrace a data-driven culture or align specific technology to a single line of business.

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

ESG Brief: Informatica Announces Innovations for AI-driven Data Management

Abstract:

Informatica, a leader in enterprise cloud data management, recently announced several enterprise data management enhancements across its unified, AI-powered Intelligent Data Platform to promote agility, efficiency, and productivity. Updates include next-generation analytics, an AI-powered data catalog, cloud and hybrid updates for AWS and MS Azure provisioning and autoscaling, data governance, privacy, 360 engagement, and a customer success portal.

Topics: Data Platforms, Analytics, & AI

ESG Brief: Cloudera Machine Learning

Abstract:

Organizations are turning to AI technologies to enhance their data analytics capabilities and address the real-time needs of the business through faster, more accurate predictive insights. But between skills gaps, limited collaboration, and ineffective or minimally available tooling, organizations are looking for help. Cloudera has introduced Cloudera Machine Learning as the next evolution of their proven Cloudera Data Science Workbench to provide organizations with the help they need to achieve success in leapfrogging the competition using AI.

Topics: Data Platforms, Analytics, & AI

ESG Research Report: 2020 Technology Spending Intentions Survey

Abstract:

In order to assess technology spending priorities over the next 12-18 months, ESG recently surveyed 658 IT professionals representing midmarket (100 to 999 employees) and enterprise-class (1,000 employees or more) organizations in North America and Western Europe. All respondents were personally responsible for or familiar with their organizations’ 2019 IT spending as well as their 2020 IT budget and spending plans at either an entire organization level or at a business unit/division/branch level.

Survey participants represented a wide range of industries including manufacturing, financial services, healthcare, communications and media, retail, government, and business services.

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

ESG Master Survey Results: 2020 Technology Spending Intentions Survey

Abstract:

ESG conducted a comprehensive online survey of IT professionals from private- and public-sector organizations in North America (United States and Canada) and Western Europe (UK, France, and Germany) between October 31, 2019 and November 26, 2019. To qualify for this survey, respondents were required to be senior IT professionals familiar and involved with their organization’s overall 2020 IT budget and spending plans. All respondents were provided an incentive to complete the survey in the form of cash awards and/or cash equivalents.

This Master Survey Results presentation focuses on 2020 IT budget expectations, technology initiatives and priorities, year-over-year spending change (overall and by different technologies), hiring/staffing challenges, and cloud adoption/usage trends.

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

ESG Research Report: The rise of cloud-based security analytics and operations technologies

Abstract:

Security analytics and operations can be complex, requiring highly skilled professionals and detailed processes. To overcome these issues, security teams tend to deploy an array of security analytics tools and technologies to collect, process, analyze, and act upon growing volumes of security telemetry. Despite this investment, however, many organizations continue to find it difficult to manage cyber risk or detect and respond to cyber incidents.

How can CISOs address these issues and develop effective security analytics and operations processes? In order to get more insight into these trends, ESG surveyed 406 IT and cybersecurity professionals at organizations in North America (US and Canada) involved with the planning, implementation, and/or operations of their organization’s information security policies, processes (including purchase decisions), or technical safeguards and familiar with their organization’s collection and/or analysis of security data in support of information security management strategy

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

ESG Master Survey Results: Cloud-scale Security Analytics Survey

Abstract:

ESG’s Master Survey Results provide the complete output of syndicated research surveys in graphical format. In addition to the data, these documents provide background information on the survey, including respondent profiles at an individual and organizational level. It is important to note that these documents do not contain analysis of the data.

This Master Survey Results presentation focuses on the current strategies used for security analytics and operations, including the impact of public cloud resources for processing and storing large and fast growing volumes of security data.

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