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 … We use cookies to deliver the best possible experience on our website. It helps data and analytics leaders find unknown relationships in data and review data not easily analysed with traditional analytics. 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. Technologies are evolving every year and is causing disruption across industries all over the world. 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. 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. Vendors offering end-to-end workflows enabled by augmented analytics blur the distinction between the two markets. The Robotics phenomenon which began as Robotic Process Automation and then moved to Intelligent Autom ation is now headed towards Hyperautomation. Considering Gartner’s predictions and other predictions, let’s review technology trends for 2020. Augmented 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. 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. It helps data and analytics leaders find unknown relationships in data and review data not easily analyzed with traditional analytics. These data and analysis technology trends will help accelerate the update, promote innovation and rebuild society in the next three to five years. GoodData Should Enhance its Platform Strategy. Trend #1: Augmented analytics. 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. 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 continuing to use this site, or closing this box, you consent to our use of cookies. 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. 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. 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. Using the existing usage and workload data, an augmented engine can tune operations and optimize configuration, security and performance. It also converts metadata from being used in auditing, lineage and reporting to powering dynamic systems. Top 10 Trends in Data and Analytics, 2020. Reset Your Business Strategy Amid COVID-19, Top 10 Trends in Data and Analytics, 2020. Using the existing usage and workload data, an augmented engine can tune operations and optimise configuration, security and performance. 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. Data and analytics leaders need to prioritize workloads that can exploit cloud capabilities and focus on cost optimization when moving to cloud. Gartner highlighted the top strategic technology trends that organizations need to explore in 2020. 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. We equip business leaders with indispensable insights, advice and tools to achieve their mission-critical priorities today and build the successful organizations of tomorrow. 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. 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. By 2022, 35% of large organizations will be either sellers or buyers of data via formal online data marketplaces, up from 25% in 2020. Gartner clients can read more in the report “Top 10 Trends in Data and Analytics, 2020.”. Blockchain technologies address two challenges in data and 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. 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. First, blockchain provides the full lineage of assets and transactions. 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. 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