Trend 10: Relationships Form the Foundation of Data and Analytics Value. It helps data and analytics leaders find unknown relationships in data and review data not easily analyzed with traditional analytics. It also converts metadata from being used in auditing, lineage and reporting to powering dynamic systems. Data and analytics capabilities have traditionally been considered distinct entities and managed accordingly. Gartner, Inc. identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a … The Global Visit - an IT Evangelist Arrives Downunder! Analysts presented their findings during Gartner IT Xpo. X analytics combined with AI and other techniques such as graph analytics will play a key role in identifying, predicting and planning for natural disasters and other crises in the future. Data marketplaces and exchanges provide single platforms to consolidate third-party data offerings and reduce costs for third-party data. Data and analytics are undoubtedly capable of accelerating renewal or recovery for organizations post the COVID-19 pandemic. This impacts not only the technologies and capabilities provided, but also the people and processes that support and use them. As businesses navigate the new normal, the role of data and analytics has become more strategic and mission critical than ever before. Data and analytics leaders should examine the following 10 data and analytics trends to accelerate renewal or recovery post COVID-19 pandemic: Trend 1: Smarter, Faster, More Responsible AI. Decision intelligence brings together several disciplines, including decision management and decision support. Gartner says by 2020, augmented analytics will be the main selling point for analytics and BI solutions. Data and analytics leaders should examine the following 10 data and analytics trends to accelerate renewal or recovery post COVID-19 pandemic: Trend … Copyright © 2020 Transmit Media. Gartner, Inc. has released a list of its top 10 data and analytics (D&A) technology trends for 2020 that can help organisations prepare for a post-pandemic reset. Gartner, Inc. identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset. According to Gartner, it’s critical to gain a deeper understanding of the following top 10 technology trends fuelling that evolving story and prioritise them based on business value to stay ahead. It helps data and analytics leaders find unknown relationships in data and review data not easily analysed with traditional analytics. Top 10 Trends in Data and Analytics, 2020. Innovation is advancing quicker than ever. All rights reserved. Data and analytics leaders must study how to take… As a result, the amount of time users spend using predefined dashboards will decline. Gartner analysts provide actionable insight that business leaders rely on to make important decisions. Top 10 Trends in Data and Analytics, 2020 The recent global pandemic has impacted many organizations across all sectors. Data and analytics leaders need to prioritize workloads that can exploit cloud capabilities and focus on cost optimization when moving to cloud. Gartner coined the term “X analytics” to be an umbrella term, where X is the data variable for a range of different structured and unstructured content such as text analytics, video analytics, audio analytics, etc. Blockchain technologies address two challenges in data and analytics. Using the existing usage and workload data, an augmented engine can tune operations and optimise configuration, security and performance. ... 2020 style. Other smarter AI techniques such as reinforcement learning and distributed learning are creating more adaptable and flexible systems to handle complex business situations; for example, agent-based systems that model and simulate complex systems. Here's a brief summary of their top data and analytics tech trends. These data and analysis technology trends will help accelerate the update, promote innovation and rebuild society in the next three to five years. By 2023, more than 33% of large organisations will have analysts practicing decision intelligence, including decision modelling. Considering Gartner’s predictions and other predictions, let’s review technology trends for 2020. Stamford, CT (June 22, 2020) – Gartner, Inc. identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset. Dynamic data stories with more automated and consumerised experiences will replace visual, point-and-click authoring and exploration. ©2020 Gartner, Inc. and/or its affiliates. Gartner highlighted the top strategic technology trends that organizations need to explore in 2020. Data and analytics leaders need to prioritise workloads that can exploit cloud capabilities and focus on cost optimisation when moving to cloud.Â, Trend 7: Data and Analytics Worlds Collide. During the COVID-19 pandemic, AI has been critical in combing through thousands of research papers, news sources, social media posts and clinical trials data to help medical and public health experts predict disease spread, capacity-plan, find new treatments and identify vulnerable populations. All rights reserved. “To innovate their way beyond a post-COVID-19 world, data and analytics leaders require an ever-increasing velocity and scale of analysis in terms of processing and access to succeed in the face of unprecedented market shifts,” said Rita Sallam, distinguished research vice president at Gartner. Trend #1: Augmented analytics. The collision of data and analytics will increase interaction and collaboration between historically separate data and analytics roles. The shift to dynamic data stories that leverage for example augmented analytics or NLP, means that the most relevant insights will stream to each user based on their context, role or use. Data and analytics capabilities have traditionally been considered distinct entities and managed accordingly. PagerDuty Keeps Building on its API Strategy Data and analytics have gained traction in organizations, driven by the promise of big data a few years ago and the potential of machine learning … By the end of 2024, 75% of organizations will shift from piloting to operationalizing artificial intelligence (AI), driving a 5 times increase in streaming data and analytics infrastructures. First, blockchain provides the full lineage of assets and transactions. Augmented data management uses ML and AI techniques to optimise and improve operations. It also converts metadata from being used in auditing, lineage and reporting to powering dynamic systems.Â. (2020, May 11). Decision intelligence brings together several disciplines, including decision management and decision support. Gartner recently has disclosed top technology trends for 2020. Outside of limited bitcoin and smart contract use cases, ledger database management systems (DBMSs) will provide a more attractive option for single-enterprise auditing of data sources. Gartner, has identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset. Analysts presented their findings during Gartner IT Symposium in Orlando. By continuing to use this site, or closing this box, you consent to our use of cookies. The global research and advisory firm Gartner and its Vice President have compiled the list of ‘Top 10 Strategic Technology Trends for 2020’. By 2022, 35% of large organisations will be either sellers or buyers of data via formal online data marketplaces, up from 25% in 2020. 1. Trend 9: Blockchain in Data and Analytics. Top 2020 Trends in Data & Analytics for Data and Analytics Leaders Gartner Report “To innovate their way beyond the post-COVID-19 world, data and analytics leaders require an ever-increasing velocity and scale of analysis in terms of processing and access to … For more than 35 years, Gartner has been the leader in information technology research and advice. By 2021, Gartner estimates that most permissioned blockchain uses will be replaced by ledger DBMS products. To thrive in this new landscape, businesses must find a way to scale business impact, accelerate transformation and increase data and analytics value. Trend 1: Smarter, faster, more responsible AI By the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving a 5X increase in streaming data and analytics infrastructures. The collision of data and analytics will increase interaction and collaboration between historically separate data and analytics roles. The True Impact of COVID On Employees: Report, Kodak Alaris rides a wave of Intelligent Automation in APAC. Augmented data management products can examine large samples of operational data, including actual queries, performance data and schemas. This Gartner report, Top 10 Trends in Data and Analytics, 2020, explores the technology trends most relevant to business and IT leaders in a rapidly-evolving business climate. We use cookies to deliver the best possible experience on our website. What common document problems can template management software resolve? By 2022, 35% of large organizations will be either sellers or buyers of data via formal online data marketplaces, up from 25% in 2020. Data marketplaces and exchanges provide single platforms to consolidate third-party data offerings and reduce costs for third-party data. Gartner’s Top 10 Technology Trends For 2020 That Will Shape The Future. Trend 9: Blockchain in Data and Analytics. By End of 2024, 75% of Organizations Will Shift from Piloting to Operationalizing AI. GoodData Should Enhance its Platform Strategy. Augmented Analytics The question for data and analytics is moving from how much a given service costs to how it can meet the workload’s performance requirements beyond the list price. As data and analytics moves to the cloud, data and analytics leaders still struggle to align the right services to the right use cases, which leads to unnecessary increased governance and integration overhead.Â, The question for data and analytics is moving from how much a given service costs to how it can meet the workload’s performance requirements beyond the list price. Graph analytics is a set of analytic techniques that allows for the exploration of relationships between entities of interest such as organisations, people and transactions. By 2021, Gartner estimates that most permissioned blockchain uses will be replaced by ledger DBMS products. Technology research group Gartner has identified its top 10 data and analytics (D&A) technology trends to help organisations prepare for a post-pandemic reset. Gartner, Inc. identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset. Our unmatched combination of expert-led, practitioner-sourced and data-driven research steers clients toward the right decisions on the issues that matter most. By 2022, public cloud services will be essential for 90% of data and analytics innovation. Three technologies – augmented analytics, continuous intelligence, and artificial intelligence – form the basis for the Top 10 Data and Analytics Technology Trends for 2019. Data and analytics leaders should examine the following 10 data and analytics trends to accelerate renewal and recovery: Trend 1: Smarter, Faster, More Responsible AI. We are a trusted advisor and an objective resource for more than 14,000 enterprises in more than 100 countries — across all major functions, in every industry and enterprise size. The shift to dynamic data stories that leverage for example augmented analytics or NLP, means that the most relevant insights will stream to each user based on their context, role or use. Gartner defines a strategic technology trend as “one with substantial disruptive potential that … The spectrum of roles will extend from traditional data and analytics to information explorer and citizen developer as examples. Hyperautomation According to Burke, today many organizations are doing simple task automation, but as the world is moving toward process automation it will eventually end up with the process in which an entire organization is automated – DigitalOps. Dynamic data stories with more automated and consumerized experiences will replace visual, point-and-click authoring and exploration. Trend 10: Relationships Form the Foundation of Data and Analytics Value. Data and analytics leaders should examine the following 10 data and analytics trends to accelerate renewal or recovery post COVID-19 pandemic: Smarter, faster, more responsible AI. Second, blockchain provides transparency for complex networks of participants. Trend 7: Data and Analytics Worlds Collide. Gartner selected ten technologies that data and analytics leaders should begin to incorporate into their roadmaps and strategies moving forward. Technologies are evolving every year and is causing disruption across industries all over the world. During the COVID-19 pandemic, AI has been critical in combing through thousands of research papers, news sources, social media posts and clinical trials data to help medical and public health experts predict disease spread, capacity-plan, find new treatments and identify vulnerable populations. 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