Top 10 Trends in Data and Analytics for 2020 Trend 1: Smarter, faster, more responsible AI. Data and analytics are undoubtedly capable of accelerating renewal or recovery for organizations post the COVID-19 pandemic. 1. Daniel Newman Contributor. Augmented data management uses ML and AI techniques to optimize and improve operations. Technology Advanced analytics Big Data and Analytics Predictions for 2020 Data Analysis Data analytics data analytics trends 2020. Commercial AI/ML. It helps data and analytics leaders find unknown relationships in data and review data not easily analyzed with traditional analytics. Vendors offering end-to-end workflows enabled by augmented analytics blur the distinction between once separate markets. These marketplaces and exchanges provide centralized availability and access (to X analytics and other unique data sets, for example) that create economies of scale to reduce costs for third-party data. The utilization of graph processing and graph databases will develop at 100% every year through 2022 to constantly quicken data planning and empower progressively intricate and adaptive data science. His IDN post focuses on the synergy among three of Gartner's top analytics trends – ADM, NLP and augmented analytics. Trend 2: Decline of the dashboard. Graph analytics comprises of models that decide the “connectedness” across data points. Thusly, exceptionally skilled technical professional can concentrate on higher-value tasks. While simple task automation has been common practice in the workplace, hyper-automation (as mentioned in Top 10 Tech Trends for 2020), and intelligent, cognitive automation projects depend on the ability to integrate AI-enabled tools to reshape and redefine how business processes execute in real-time. (2020, May 11). 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. Technologies of artificial intelligence and machine learning have continuously played an essential role in the … One Reply to “Top 10 Data Analytics Predictions For 2020” Hairstyles says: December 26, 2019 at 3:28 am Simply wish to say your article is as astounding. © 2020 Gartner, Inc. and/or its affiliates. *Note some documents may not be available to all Gartner clients. Black Friday 2019. 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 can model and stimulate complex systems – particularly now when pre-COVID models based on historical data may no longer be valid. 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. Get best practices based on research and interactions with thousands of organizations. In the field of data analytics, there has been a … Data Analytics Latest Trends 1. It also converts metadata from being used in auditing, lineage and reporting to powering dynamic systems. Top 10 Tech Trends 2020. By 2020, half of analytical queries will be produced by means of search, natural language processing or voice, or will be consequently created. Data strategy is business strategy. Data and analytics leaders need to evaluate opportunities to incorporate graph analytics into their analytics portfolios and applications to uncover hidden patterns and relationships. Accordingly, it is no big surprise that by 2020, we can hope to see over 40% of data-based tasks automated. 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 … Another trend that we can hope to be profoundly powerful in 2020 is in-memory computing (IMC). Data and analytics leaders need to prioritize workloads that can exploit cloud capabilities and focus on cost optimization and other benefits such as change and innovation acceleration when moving to cloud. Why is Facial Recognition Technology still a Big no-no for Many? These trends can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset. Artificial intelligence models are progressively deployed to increase and supplant human decision making. NLP/conversational analytics carries convenience to another level and enables a question to be as simple as a Google-like search or a discussion digital assistant, for example, Alexa. Data analytics is the process of examining data sets to, Cloud computing funding deals globally have skyrocketed amid COVID-19 It, Tech Mahindra is amongst SAP’s top global strategic service partners. Top 10 Trends in Data and Analytics, 2020 The recent global pandemic has impacted many organizations across all sectors. It provides a framework to help data and analytics leaders design, compose, model, align, execute, monitor and tune decision models and processes in the context of business outcomes and behavior. Since there have recently been some significant shifts, let us have a look at some of the patterns and forecasts we can hope to see in 2020. All Rights Reserved. Since cell phones are being utilized in an assortment of settings from at home to at work and wherever in the middle of, and the advancement of a wide range of new products like IoT, wearables and immersive technologies like virtual reality. 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 identified the top 10 data and analytics technology trends for 2020 that can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for the post-COVID-19 reset. By 2022, a greater part of major new business frameworks will fuse continuous intelligence that utilizations real-time context data to enhance decisions. Data and analytics leaders should explore X analytics capabilities available from their existing vendors, such as cloud vendors for image, video and voice analytics, but recognize that innovation will likely come from small disruptive startups and cloud providers. All Eyes on the Trend Line. Like how ML and AI abilities are changing analytics, business intelligence and data science, across data management classifications, merchants are including ML abilities and AI engines to make self-arranging and self-tuning procedures inescapable. 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. Accordingly, we are going to see a lot more analytics solutions for IoT gadgets to give important information as well as transparency. Thanksgiving 2019. These dynamic insights leverage technologies such as augmented analytics, NLP, streaming anomaly detection and collaboration. By 2021, natural language processing and conversational analytics will support analytics and business intelligence deployment from 35% of employees to over 50%, including new classes of clients, especially front-office laborers. Big Data Analytics Today’s companies have access to a plethora of data and can leverage this to generate business intelligence from understanding past performances to predicting future trends. Top 10 Gov Tech Trends 2020. Decision intelligence brings together a number of disciplines, including decision management and decision support. Pre-COVID models based on historical data may no longer be valid. First, blockchain provides the full lineage of assets and transactions. 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 and other types of artificial intelligence more recently. These procedures are computerizing a large number of manual undertakings also, enabling clients with less technical abilities to be progressively autonomous when utilizing data. Tech Trends for 2020s. Neo4j is the #1 Platform for Connected Data. The Neo4j Graph Platform takes a connections-first approach to data. X analytics combined with AI and other techniques such as graph analytics (another top trend) will play a key role in identifying, predicting and planning for natural disasters and other business crises and opportunities in the future. Data marketplaces and exchanges provide single platforms to consolidate third-party data offerings. Trend 4: X analytics. Augmented data management products can examine large samples of operational data, including actual queries, performance data and schemas. 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. His perspective come as the founder of a context automation start-up. DATA AND ANALYTICS TRENDS. Everything from financial services to manufacturing and logistics is being upgraded to rely on more digital servicesand as a result an influx of real-time data. Data and analytics pioneers should plan to adopt augmented analytics as platform abilities develop. Gartner analysts provide actionable insight that business leaders rely on to make important decisions. The spectrum of roles will extend from traditional data and analytics roles in IT to information explorer, consumer and citizen developer as an example. This helps medical and public health experts predict disease spread, find new treatments and plan for clinical management of the pandemic. As organizations become data-driven and awash in an overwhelming amount of data from multiple data sources (AI, IoT, ML, etc. Top 10 Big Data Analytics Trends for 2020. They’re changing their working, business, and strategy models accordingly. In this report, Gartner examines key data and analytics trends, including opportunities and strategies for scaling the business impact, transforming deployment and increasing the overall value of data and analytics within your organisation. Significant investments made in new chip architectures such as neuromorphic hardware that can be deployed on edge devices are accelerating AI and ML computations and workloads and reducing reliance on centralized systems that require high bandwidths. Amazon Begins Its Autonomous Delivery Robots in California, Guavus to Bring Telecom Operators New Cloud-based Analytics on their Subscribers and Network Operations with AWS, Baylor University Invites Application for McCollum Endowed Chair of Data Science, While AI has Provided Significant Benefits for Financial Services Organizations, Challenges have Limited its Full Potential. Since data breaches have been regularly in the news, buzzing industries, and average users, the demand for security products and services is understandable.. 3) Data Discovery/Visualization. This impacts not only the technologies and capabilities provided, but also the people and processes that support and use them. During the 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. Continuous intelligence uses different advances, for example, augmented analytics, optimization, event stream processing, ML and business rule management. Tragically, most of these advanced AI models are unpredictable secret elements that are not ready to clarify why they arrived at a particular recommendation or a choice. Below, there’s a list of the top data and analytics trends you should consider in 2020. Following are 10 data and analytics technology trends 2020; leaders should check these trends to accelerate renewal and recovery post-COVID-19. Automation is profoundly favored in the digital world, and thus, it’s presently turning into an exceptionally supported element in organizations and large enterprises as well. 7 big data goals for 2021; Top 5 programming languages for data scientists to learn ... Enterprises will continue to build on these trends in 2020, and that will drive analytics … Recommended Gartner client* reading: Top 10 Trends in Data and Analytics, 2020 by Rita Sallam et al. 7 Traits of Highly Successful Digital Leaders, Ask the Experts: What to Consider Before Shifting Positions to Remote, Build Organizational Resilience for Today and Tomorrow, Gartner Top 10 Strategic Predictions for 2021 and Beyond, Top 10 Trends in Data and Analytics, 2020, Gartner Top 10 Strategic Technology Trends for 2018, Gartner’s Top 10 Strategic Technology Trends for 2017, Top Trends in the Gartner Hype Cycle for Emerging Technologies, 2017, Gartner Top 10 Strategic Technology Trends for 2019. Second, blockchain provides transparency for complex networks of participants. Top 10 Sci-Fi Series of 2010s. Leverage data and analytics ecosystems enabled by an augmented approach that have the potential to deliver coherent stacks. Chief Data Officers (CDOs) will be the Center of Attraction Any user can pose inquiries utilizing text or voice with progressively complex questions and reactions. Given the present patterns with personal gadgets, mobile and web use, it is normal by 2020 that over half of consumer mobile interactions will be encounters portrayed at contextualized and hyperpersonal that is dictated by the client’s past and real-time mobile behavior. Trend 5: Augmented data management. Fill out the form now to read Gartner’s report,Top 10 Trends in Data and Analytics, 2020. IT Spending 2020. With 2020 upon us, data and analytics pioneers are really investigating their present business, the competition, client criticism and desires, and accelerating innovation trends. With 2020 upon us, big data and analytics pioneers are really investigating their present business.Top 10 Data and Analytics Trends in 2020 are Augmented Analysis, Automation, Augmented Data Management, NLP and Conversational Analytics, Explainable AI, Graph Analytics and In-memory Computing. It’s not that specializations didn’t exist, they always have but companies are now starting to look for professionals with industry-specific experience. There are plenty of opportunities, so c… As a result, the amount of time users spend using predefined dashboards will decline. However, in certain situations, organizations must legitimize how these models arrive at their decisions. This implies more devices from which to gather more data for analysis. The intensity of data analysis is, as a rule, all the more firmly embraced when making a larger part of subjective choices like recruitment and branding. With that in mind, here are four top big data predictions that enterprises should keep an eye on for 2020. Technology Writer, Entrepreneur, Mad over Marketing, Formidable Geek, Creative Thinker. By 2023, graph technologies will facilitate rapid contextualization for decision making in 30% of organizations worldwide. Data and analytics should position blockchain technologies as supplementary to their existing data management infrastructure by highlighting the capabilities mismatch between data management infrastructure and blockchain technologies. To fabricate trust with users and partners, application pioneers must make these models increasingly interpretable and reasonable. 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. 10 Data and Analytics Trends for 2020 Here are the trends you need to watch in the years ahead. The data is transforming businesses and organizations of all kinds. Responsible AI that enables model transparency is essential to protect against poor decisions. Explore using decision management and modeling technology when decisions need multiple logical and mathematical techniques, must be automated or semi-automated, or must be documented and audited. Top 10 Trends in Data and Analytics, 2020. NLP is progressively an interface to questioning and collaborating with auto-generated insights from augmented analytics. 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. Keep pace with the latest issues that impact business. Tech Trends 2019. For more than 35 years, Gartner has been the leader in information technology research and advice. So regardless of what industry you’re in, make use of data and analytics in 2020. These data and analytics technology trends will help to accelerate... Get actionable advice in 60 minutes from the world's most respected experts. Beyond tools, focus on people and processes to foster communication and collaboration. The trials use a living database that compiles and curates data from trial registries and other sources. ... AI and Machine Learning become force multipliers for data analytics: If you are going to invest in analytics… It gives exceptionally powerful mass-memory to help high-performance tasks at hand. ... A Nutanix study titled Top 10 Cloud Security Trends for 2019 delves deep into the 10 most important ways to secure an organization’s data from vulnerabilities at every stage in the usage cycle. DATA AND ANALYTICS TRENDS-With 2020 upon us, data and analytics pioneers are really investigating their present business, the competition, client criticism and desires, and accelerating innovation trends. By 2020, we can hope to see more than 20 billion active IoT (Internet of Things) devices. News Summary: Guavus-IQ analytics on AWS are designed to allow, Baylor University is inviting application for the position of McCollum, AI can boost the customer experience, but there is opportunity. Progressively objective choices that have consistently depended on data are ramping things up with more intricate and modern information than ever before. 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 analysed with traditional analytics. How DataOps Amplifies Data and Analytics Business Value, How to Use Facial Recognition Technology Responsibly and Ethically, Data Sharing Is a Business Necessity to Accelerate Digital Business. ), they will find new ways to get a handle on data quality and focus on data management processes and best practices. The big data industry is presently worth $189 Billion, an expansion of $20 Billion more than 2018, and is set to proceed with its rapid growth and reach $247 Billion by 2022. They’re changing their working, business, and strategy models accordingly. The shift to in-context data stories means that the most relevant insights will stream to each user based on their context, role or use. When combined with ML algorithms, these technologies can be used to comb through thousands of data sources and documents that could help medical and public health experts rapidly discover new possible treatments or factors that contribute to more negative outcomes for some patients. In response to the COVID-19 emergency, over 500 clinical trials of potential COVID-19 treatments and interventions began worldwide. IPO Recap. India Cloud Spending 2020. The Top 3 Data and Analytics Trends to Watch in 2020. This article has been updated from the June 9, 2020 original to reflect new events, conditions and research. AI and machine learning are critical realigning supply and the supply chain to new demand patterns. Most analytics and BI tools right now expect clients to pick data components and place them on a page to make questions and visual analysis. As IT leaders focus attention on data analytics in 2020, they should keep the following four closely related trends top-of-mind. It gives decision automation or decision support. Improved, scalable, and lower-cost processing alternatives, for example, the cloud and GPUs are making graph analytics and databases prime possibility for accelerated deployment. Through 2022, data management manual tasks will be diminished by 45% through the expansion of machine learning and automated service level management. It encompasses applications in the field of complex adaptive systems that bring together multiple traditional and advanced disciplines. Data & Analytics. Premium Internet. 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. This pattern is affecting all enterprise data management classes including data quality, metadata management, databases and data integration. By 2022, public cloud services will be essential for 90% of data and analytics innovation. This should bring about a higher pace of productivity as well as resident data scientists having more extensive use of data. They want someone well versed explicitly in the kind of data they’re dealing with. The expenses and intricacy of taking up IMC are being decreased by the new relentless memory innovations, another memory tier that is arranged between NAND flash memory and dynamic random-access memory. Data and analytics leaders should look for augmented data management enabling active metadata to simplify and consolidate their architectures, and also increase automation in their redundant data management tasks. To turn the collision into a constructive convergence, incorporate both data and analytics tools and capabilities into the analytics stack. 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 says by 2020, augmented analytics will be the main selling point for analytics and BI solutions. Our predictions for the top data governance trends for 2020… Share 0. All rights reserved. Trend #1: Augmented analytics. Continuous intelligence is a design pattern in which real-time analytics are incorporated inside a business activity, preparing present and historical information to endorse activities because of events. Automation has turned out to be exceptionally favored in many enterprises to improve business and efficiency. Blockchain technologies address two challenges in data and analytics. With that in mind, during its recent Gartner IT Symposium, the analyst firm unveiled its Top 10 Strategic Technology Trends in Data and Analytics, 2020, a list designed to take organizations "from crisis to opportunity," as enterprises recover from the effects of … Data and analytics combined with artificial intelligence (AI) technologies will be paramount in the effort to predict, prepare and respond in a proactive and accelerated manner to a global crisis and its aftermath. Eventually, this could lead to more scalable AI solutions that have higher business impact. AI and Machine Learning Powering #2 Just like 5G is of no value in and of itself, neither is data. Top 20 B.Tech in Artificial Intelligence Institutes in India, Top 10 Data Science Books You Must Read to Boost Your Career, Increasing Effectiveness of Data Analytics in a Business, Top 10 Cloud Computing Investments and Funding of 2020, Tech Mahindra and SAP Extend Partnership to Deliver ‘Intelligent Enterprise’ for Customers Globally, The 10 Most Innovative Big Data Analytics, The Most Valuable Digital Transformation Companies, The 10 Most Innovative RPA Companies of 2020, The 10 Most Influential Women in Techonlogy, Using 5G to Bring Revolutionary Breakthrough in Image Recognition. For example, as the world scrambles to respond to current and future pandemics, graph technologies can relate entities across everything from geospatial data on people’s phones to facial-recognition systems that can analyze photos to determine who might have come into contact with individuals who later tested positive for the coronavirus. The collision of data and analytics will increase interaction and collaboration between historically separate data and analytics roles. By 2021, Gartner estimates that most permissioned blockchain uses will be replaced by ledger DBMS products. CES 2020. It uses machine learning (ML) and AI procedures to change how analytics content is created, devoured and shared. 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. By 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modeling. Through Big Data, it’s possible to determine customer preferences and market trends as well as redefine the supply chain. In 2020, data analytics will explode with utility and adoption, according to Kaycee Lai, CEO of Promethium. Top 10 Trends in Data and Analytics, 2020 These data and analytics technology trends will help to accelerate renewal, drive innovation and rebuild society over the next three to five years. Top Digital Experience Trends 2020. A look at the top 10 data and analytics trends for 2020 that are likely to stay and go beyond this year. It’s the ideal opportunity for us to look at Big Data trends for 2020. 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 use X analytics to solve society’s toughest challenges, including climate change, disease prevention and wildlife protection. By 2020, augmented analysis will be a leading driver of new buys of analytics and BI, as well as data science and ML platforms, and embedded analytics. It results in better human-machine collaboration and trust for greater adoption and alignment of decisions throughout the organization. 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.” Consider investigating how graph algorithms and technologies can improve your AI and ML initiatives. Data discovery has increased its impact in the last year. © 2020 Stravium Intelligence LLP. Data quality management will become the number one priority for companies “In the face of unprecedented market shifts, data and analytics leaders require an ever-increasing velocity and scale of analysis in terms of processing and access to accelerate innovation and forge new paths  to a post-COVID-19 world,” said Rita Sallam, Distinguished VP Analyst, during her presentation at virtual Gartner IT Symposium/Xpo™ 2020 . Top 25 Healthcare Supply Chain 2019. The heavy hitter tech companies are figuring out that the future is in data—most specifically, the real-time processing of it. Trend 6: Cloud is a given. Data and analytics leaders need to regularly evaluate their existing analytics and business intelligence (BI) tools and innovative startups offering new augmented and NLP-driven user experiences beyond the predefined dashboard. 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Addition, consider investigating how graph algorithms and technologies can improve your AI and ML initiatives to... Disruption in the kind of data they’re dealing with minutes from the world most! Processes and best practices based on research and interactions with thousands of organizations to help in pushing their ahead! Accelerating renewal or recovery for organizations post the COVID-19 pandemic information as as... Demand patterns be replaced by ledger DBMS products in 30 % of data-based tasks automated following four closely trends! To questioning and collaborating with auto-generated insights from augmented analytics will increase interaction collaboration. Between historically separate data and analytics innovation visual, point-and-click authoring and.... Have but companies are now starting to look for professionals with industry-specific experience, point-and-click authoring exploration... Has turned out to be exceptionally favored in many enterprises to improve business and efficiency is essential to protect poor!, performance data and analytics leaders find unknown relationships in data and analytics, optimization, event stream processing ML. Automated and consumerized experiences will replace visual, point-and-click authoring and exploration pattern affecting! In auditing, lineage and reporting to Powering dynamic systems utility and adoption, to. To make important decisions Writer, Entrepreneur, Mad over Marketing, Formidable Geek, Creative top 10 trends in data and analytics, 2020 TMT January,. Into their analytics portfolios and applications to uncover hidden patterns and relationships organizations post the COVID-19 pandemic increase! Data points discovery has increased its impact in the kind of data provides the full lineage of and. Be available to all Gartner clients ways to get a handle on data quality and focus people... Industry you’re in, make use of data and analytics in 2020, they should keep the following closely. Big data trends for 2020. by Team TMT January 5, 2020 August 22, 2020, technologies.