The Robotics phenomenon which began as Robotic Process Automation and then moved to Intelligent Autom ation is now headed towards Hyperautomation. Gartner says by 2020, augmented analytics will be the main selling point for analytics and BI solutions. ... 2020 style. Trend 10: Relationships Form the Foundation of Data and Analytics Value. This impacts not only the technologies and capabilities provided, but also the people and processes that support and use them. For more than 35 years, Gartner has been the leader in information technology research and advice. First, blockchain provides the full lineage of assets and transactions. It includes Service AI, Hyperautomation, DARQ, Democratization, Autonomous Driving and Data Policing. To learn more about how we help decision makers fuel the future of business, visit gartner.com. By 2021, Gartner estimates that most permissioned blockchain uses will be replaced by ledger DBMS products. 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. We equip business leaders with indispensable insights, advice and tools to achieve their mission-critical priorities today and build the successful organizations of tomorrow. Data and analytics capabilities have traditionally been considered distinct entities and managed accordingly. Data marketplaces and exchanges provide single platforms to consolidate third-party data offerings and reduce costs for third-party data. Gartner clients can read more in the report “Top 10 Trends in Data and Analytics, 2020.”. 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. 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 are the top 10 technology trends that data and analytics leaders should focus on as they look to make essential investments to prepare for a reset. Gartner has highlighted the top strategic technology trends that organizations need to explore in 2020. By 2023, graph technologies will facilitate rapid contextualisation for decision making in 30% of organisations worldwide. 1 Gartner. 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. Our unmatched combination of expert-led, practitioner-sourced and data-driven research steers clients toward the right decisions on the issues that matter most. 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 … Along the same lines, 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. 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. This report from Gartner look at the top 10 technology trends that data and analytics leaders should focus on as they look to make essential investments to prepare for a reset following the pandemic.For this week’s posts, click on the paragraph links. Here's a brief summary of their top data and analytics tech trends. By 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modeling. By 2023, graph technologies will facilitate rapid contextualization for decision making in 30% of organizations worldwide. Gartner selected ten technologies that data and analytics leaders should begin to incorporate into their roadmaps and strategies moving forward. Data and analytics capabilities have traditionally been considered distinct entities and managed accordingly. It helps data and analytics leaders find unknown relationships in data and review data not easily analyzed with traditional analytics. 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. By 2022, 35% of large organisations will be either sellers or buyers of data via formal online data marketplaces, up from 25% in 2020. Gartner recently has disclosed top technology trends for 2020. Trend 9: Blockchain in Data and Analytics. Considering Gartner’s predictions and other predictions, let’s review technology trends for 2020. 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 … 1. Graph analytics is a set of analytic techniques that allows for the exploration of relationships between entities of interest such as organizations, people and transactions. To thrive in this new landscape, businesses must find a way to scale business impact, accelerate transformation and increase data and analytics value. Second, blockchain provides transparency for complex networks of participants. By 2023, more than 33% of large organisations will have analysts practicing decision intelligence, including decision modelling. 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. 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. 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. Research group Gartner has identified what it believes are 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. Gartner analysts provide actionable insight that business leaders rely on to make important decisions. By continuing to use this site, or closing this box, you consent to our use of cookies. To learn more, visit our Privacy Policy. Gartner has revealed the top 10 trends within data and analytics that will help leaders in the space navigate their response to Covid-19 The cloud and blockchain are among the latest trends for assisting data and analytics through the pandemic. Data and analytics leaders need to prioritize workloads that can exploit cloud capabilities and focus on cost optimization when moving to cloud. GoodData Should Enhance its Platform Strategy. It provides a framework to help data and analytics leaders design, model, align, execute, monitor and tune decision models and processes in the context of business outcomes and behaviour.Â. 10 Data and Analytics Trends for 2020 Here are the trends you need to watch in the years ahead. Using the existing usage and workload data, an augmented engine can tune operations and optimise configuration, security and performance. 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. Decision intelligence brings together several disciplines, including decision management and decision support. PagerDuty Keeps Building on its API Strategy 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. Trend 9: Blockchain in Data and Analytics. We use cookies to deliver the best possible experience on our website. By 2022, public cloud services will be essential for 90% of data and analytics innovation. By 2024, 75% of organizations will shift from piloting AI to operationalizing it. Within the current pandemic context, AI techniques such as machine learning (ML), optimization and natural language processing (NLP) are providing vital insights and predictions about the spread of the virus and the effectiveness and impact of countermeasures. 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. Vendors offering end-to-end workflows enabled by augmented analytics blur the distinction between the two markets. As a result, the amount of time users spend using predefined dashboards will decline. Augmented data management products can examine large samples of operational data, including actual queries, performance data and schemas. First, blockchain provides the full lineage of assets and transactions. Gartner monitored how companies have been using the technologies and recently published some trends they're seeing, as well as predictions for where the industry will go in the next few years. “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. It helps data and analytics leaders find unknown relationships in data and review data not easily analysed with traditional analytics. By 2021, Gartner estimates that most permissioned blockchain uses will be replaced by ledger DBMS products. Gartner’s Top 10 Technology Trends For 2020 That Will Shape The Future. 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. 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. 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. Dynamic data stories with more automated and consumerized experiences will replace visual, point-and-click authoring and exploration. Gartner's Top 10 Strategic Technology Trends for 2020. Data and analytics are undoubtedly capable of accelerating renewal or recovery for organizations post the COVID-19 pandemic. Augmented Analytics Trend #1: Augmented analytics. Within the current pandemic context, AI techniques such as machine learning (ML), optimisation and natural language processing (NLP) are providing vital insights and predictions about the spread of the virus and the effectiveness and impact of countermeasures.Â, 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 stimulate complex systems.Â. Gartner highlighted the top strategic technology trends that organizations need to explore in 2020. By End of 2024, 75% of Organizations Will Shift from Piloting to Operationalizing AI. Credit by: Peter High Today Gartner, Inc. announced its top ten strategic technology trends for 2020. Copyright © 2020 Transmit Media. 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. Data marketplaces and exchanges provide single platforms to consolidate third-party data offerings and reduce costs for third-party data. Three technologies – augmented analytics, continuous intelligence, and artificial intelligence – form the basis for the Top 10 Data and Analytics Technology Trends for 2019. It provides a framework to help data and analytics leaders design, model, align, execute, monitor and tune decision models and processes in the context of business outcomes and behavior. Gartner, a leading research and advisory company identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics … Gartner: Top 10 strategic technology trends 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. 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. 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. By 2022, public cloud services will be essential for 90% of data and analytics innovation. The global research and advisory firm Gartner and its Vice President have compiled the list of ‘Top 10 Strategic Technology Trends for 2020’. 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. Decision intelligence brings together several disciplines, including decision management and decision support. Technologies are evolving every year and is causing disruption across industries all over the world. Tech Posts. Analysts presented their findings during Gartner IT Symposium in Orlando. “To innovate their way beyond COVID-19, data and analytics leaders require an ever-increasing speed and scale of analysis in terms of both processing and access to succeed,” said Rita Sallam, research vice president at Gartner. Using the existing usage and workload data, an augmented engine can tune operations and optimize configuration, security and performance. By 2022, 35% of large organizations will be either sellers or buyers of data via formal online data marketplaces, up from 25% in 2020. As a result, the amount of time users spend using predefined dashboards will decline. 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. By the end of 2024, 75% of organizations will shift from piloting to operationalizing artificial intelligence (AI), driving a five-time increase in streaming data and analytics infrastructures. 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. Augmented data management products can examine large samples of operational data, including actual queries, performance data and schemas. 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. Vendors offering end-to-end workflows enabled by augmented analytics blur the distinction between the two markets. 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. 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. (2020, May 11). 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. It also converts metadata from being used in auditing, lineage and reporting to powering dynamic systems. The True Impact of COVID On Employees: Report, Kodak Alaris rides a wave of Intelligent Automation in APAC. Gartner Releases Top Ten Trends in Data Analytics for 2020 “By 2025, data stories will be the most widespread way of consuming analytics , and 75% of stories will be automatically generated using augmented analytics techniques.” The spectrum of roles will extend from traditional data and analytics to information explorer and citizen developer as examples. Augmented data management uses ML and AI techniques to optimize and improve operations. These data and analysis technology trends will help accelerate the update, promote innovation and rebuild society in the next three to five years. As businesses navigate the new normal, the role of data and analytics has become more strategic and mission critical than ever before. The spectrum of roles will extend from traditional data and analytics to information explorer and citizen developer as examples. Blockchain technologies address two challenges in data and analytics. “To innovate their way beyond COVID-19, data and analytics leaders require an ever-increasing speed and scale of analysis in terms of both processing and access to succeed,” said Rita Sallam, research vice president at Gartner.Â. All rights reserved. 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. 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 … 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. Trend 7: Data and Analytics Worlds Collide. 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. The Global Visit - an IT Evangelist Arrives Downunder! Gartner defines a strategic technology trend as “one with substantial disruptive potential that … The collision of data and analytics will increase interaction and collaboration between historically separate data and analytics roles. 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. Innovation is advancing quicker than ever. The collision of data and analytics will increase interaction and collaboration between historically separate data and analytics roles. 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. Data and analytics leaders must study how to take… All rights reserved. Gartner, Inc. (NYSE: IT) is the world’s leading research and advisory company and a member of the S&P 500. This impacts not only the technologies and capabilities provided, but also the people and processes that support and use them. Reset Your Business Strategy Amid COVID-19, Top 10 Trends in Data and Analytics, 2020. 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