{"id":84965,"date":"2025-03-24T08:00:33","date_gmt":"2025-03-24T11:00:33","guid":{"rendered":"https:\/\/abes.org.br\/?p=84965"},"modified":"2025-03-11T10:48:49","modified_gmt":"2025-03-11T13:48:49","slug":"gartner-identifica-as-principais-tendencias-em-data-analytics-para-2025","status":"publish","type":"post","link":"https:\/\/abes.org.br\/en\/gartner-identifica-as-principais-tendencias-em-data-analytics-para-2025\/","title":{"rendered":"Gartner identifies key trends in Data & Analytics for 2025"},"content":{"rendered":"

Gartner analysts will discuss how companies can take advantage of these trends during the Gartner Data & Analytics Conference, which will be held on April 28 and 29 in S\u00e3o Paulo<\/em><\/p>\n

\"\"<\/p>\n

O\u00a0<\/span>Gartner, Inc.<\/a><\/b>. identified the key Data & Analytics (D&A) trends for 2025 that are driving the emergence of a wide range of challenges, including organizational and human issues.<\/p>\n

\u201cD&A is moving from the domain of a few to ubiquity,\u201d says\u00a0Gareth Herschel<\/a><\/u>, Vice President and Analyst at Gartner. \u201cAt the same time,\u00a0Data & Analytics leaders<\/a><\/u>\u00a0are under pressure not to do more with less, but to do much more with much more, which can be even more challenging as the stakes are rising. There are certain trends that will help D&A leaders meet the pressures, expectations and demands they are facing.\u201d<\/p>\n

Gartner analysts will discuss more about the top Data & Analytics trends that IT leaders must navigate and incorporate into their\u00a0D&A strategy<\/a><\/u>\u00a0at\u00a0Gartner Data & Analytics Conference<\/a><\/u>, which will be held on April 28th and 29th, at the Sheraton S\u00e3o Paulo WTC Hotel.<\/p>\n

Highly consumable data products<\/b><\/p>\n

To capitalize on highly consumable data products, D&A leaders must focus on business-critical use cases, correlating and scaling solutions to alleviate data delivery challenges. Prioritizing the delivery of reusable and composable minimum viable data products is essential, allowing teams to improve them over time. Data & Analytics leaders must also reach consensus on key performance indicators between producer and consumer teams, which is vital to measuring data product success.<\/p>\n

Metadata Management Solutions<\/b><\/p>\n

Effective metadata management starts with technical metadata and expands to include business metadata for enhanced context. By incorporating multiple types of metadata, organizations can enable data catalogs, data lineage, and AI-driven use cases. It\u2019s critical to select tools that facilitate automated metadata discovery and analysis.<\/p>\n

Data fabric<\/i><\/b>\u00a0multimodal<\/b><\/p>\n

Creating a robust metadata management practice involves capturing and analyzing metadata across the entire\u00a0pipeline<\/i>\u00a0of data. The\u00a0insights<\/i>\u00a0and the automations of the\u00a0data fabric<\/i>\u00a0support orchestration demands, improve operational excellence through DataOps, and enable data products.<\/p>\n

Synthetic data<\/b><\/p>\n

Identifying areas where data is missing, incomplete, or expensive to obtain is crucial to advancing AI initiatives. Synthetic data, such as variations of the original data or replacements of sensitive data, ensures privacy while facilitating the development of AI.<\/p>\n

Agentic Analytics<\/b><\/p>\n

Automating closed-loop business outcomes with AI agents for data analysis is transformative. It is recommended to test use cases that connect\u00a0insights<\/i>\u00a0to natural language interfaces and evaluate\u00a0roadmaps<\/i>\u00a0of vendors for digital workplace application integration. Establish the\u00a0governance<\/a><\/u>\u00a0minimizes errors and hallucinations, while it is essential to assess data readiness through AI-ready data principles.<\/p>\n

AI Agents<\/b><\/p>\n

You\u00a0AI agents<\/a><\/u>\u00a0are valuable for ad hoc, flexible, or complex adaptive automation needs. More than relying solely on Large Language Models (LLMs), other forms of analytics and AI are needed. D&A leaders must enable AI agents to access and share data across applications seamlessly.<\/p>\n

Small Language Models\u00a0<\/b><\/p>\n

It is recommended to consider Small Language Models (SLMs) instead of Large Language Models to achieve more accurate and contextually appropriate AI results in specific domains. Providing data for augmented generation by retrieval or fine-tuning (fine-tuning<\/i>) of custom domain models is recommended, especially for use\u00a0on-premises<\/i>\u00a0to handle sensitive data and reduce computing resources and costs.<\/p>\n

Composite AI<\/b><\/p>\n

Leveraging multiple AI techniques increases the impact and reliability of AI. D&A teams should diversify beyond Generative AI (GenAI) or LLMs by incorporating data science,\u00a0Machine Learning<\/i>\u00a0(machine learning), knowledge graphs, and optimization to achieve comprehensive AI solutions.<\/p>\n

Decision Intelligence Platforms<\/b><\/p>\n

It is critical to transition from a data-driven to a decision-centric view. Prioritizing urgent business decisions for modeling, aligning decision intelligence (DI) practices, and evaluating DI platforms are recommended steps. Rediscovering data science techniques and addressing the ethical, legal, and compliance aspects of decision automation are essential for success.<\/p>\n

Data & Analytics leaders can learn more about how to assess their own effectiveness using the\u00a0Gartner CDAO Effectiveness Diagnostic<\/a><\/u>, a unique tool that allows\u00a0Chief Data & Analytics Officers<\/i>\u00a0(CDAOs) understand their effectiveness as leaders and discover their strengths and areas for improvement.<\/p>\n

About the Gartner Data & Analytics Conference\u00a0<\/b><\/p>\n

Gartner analysts will provide additional analysis on data and analytics trends at the Gartner Data & Analytics Conferences, taking place April 28-29 in\u00a0Sao Paulo<\/a><\/u>\u00a0(Brazil), from May 12 to 14 in\u00a0London<\/a><\/u>\u00a0(England); from 20 to 22 May in\u00a0Tokyo<\/a><\/u>\u00a0(Japan); on June 2 and 3 in\u00a0Mumbai<\/a><\/u>\u00a0(India) and on June 17 and 18 in\u00a0Sydney<\/a><\/u>\u00a0(Australia). Follow conference news and updates on X using\u00a0#GartnerDA<\/a><\/u>.<\/p>\n

About Gartner for Data & Analytics Leaders<\/b>\u202f\u202f<\/b><\/p>\n

The Gartner\u00a0for Data & Analytics Leaders<\/i>\u00a0provides objective and actionable insights for CDAOs and Data & Analytics leaders, helping them accelerate their D&A strategy and operating model to increase business value. Additional information is available at\u00a0https:\/\/www.gartner.com\/en\/data-analytics<\/a><\/u>. Follow news and updates from Gartner for Data & Analytics Leaders on\u00a0X<\/a><\/u>\u00a0and\u00a0LinkedIn<\/a><\/u>using #GartnerDA. Visit the\u00a0Press Room<\/a><\/u>\u00a0from Gartner for more information and insights.<\/p>\n

About Gartner<\/b>\u202f\u202f<\/b><\/p>\n

O\u00a0Gartner, Inc.<\/a><\/b>\u00a0delivers objective, actionable insights that drive smarter decisions and better performance for enterprises\u2019 mission-critical priorities. To learn more,\u00a0visit\u00a0<\/i>www.gartner.com<\/a><\/u>\u00a0<\/u><\/p>","protected":false},"excerpt":{"rendered":"

Analistas do Gartner discutir\u00e3o como empresas podem aproveitar essas tend\u00eancias durante a Confer\u00eancia Gartner Data & Analytics, que ser\u00e1 realizada nos dias 28 e 29 de abril em S\u00e3o Paulo O\u00a0Gartner, Inc. identificou as principais tend\u00eancias de Data & Analytics (D&A) para 2025, que est\u00e3o impulsionando o surgimento de uma ampla gama de desafios, incluindo […]<\/p>\n","protected":false},"author":12,"featured_media":84969,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[39,19],"tags":[6901,6900],"class_list":["post-84965","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-coluna-4","category-ultimas-noticias","tag-desafios-de-entrega-de-dados","tag-tendencias-em-data-analytics"],"acf":[],"yoast_head":"\nGartner identifica as principais tend\u00eancias em Data & Analytics para 2025 - 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