1.) Natural Language Processing and Conversational Analytics will be catalysts for democratizing data because they make it easy to ask questions and find answers in data. To monetize data assets through data marketplaces, data and analytics leaders should establish a fair and transparent methodology by defining a data governance principle that ecosystems partners can rely on. Thanks to 5G streaming and the cloud, Continuous Intelligence is becoming more practical and less costly to adopt. In data and analytics, Blockchain can be leveraged to make data more clean and secure because it’s difficult to manipulate. Gartner Top 3 Priorities for HR Leaders in 2021, 7 Digital Disruptions You Might Not See Coming In the Next 5 Years, Manage Risks From the U.S. Election Today, Use Zero-Based Budgeting to Rightsize Tight Budgets, 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. Trends on the Rise: These trends will have a significant impact. And today, thinking more deeply about the business must involve thinking more deeply about data. Job roles should be created to define, deploy and monitor security policies. This is changing history, and companies have already started to transact with data and create new business models. For example, the financial world could channel petabytes of live data through complicated network connections and communicate with countless other devices. The Cloud: No Limits to Data Warehousing. Additionally, cloud data warehouses make it possible for users across the organization to share governed data internally and externally without moving data and copying it from place to place. We have identified 10 trends happening in 2020 that will be catalysts and enablers for change, and they will drive companies to enhance capabilities to stay at the forefront of innovation. SDG Group refers to the SDG network and/or one or more of its member firms, each of which is a separate legal entity. It allows data to flow and be shared by applications running in both private and public cloud data centers, and it will move data to where it’s needed at any given point in time. They will allow data to be consumed dynamically and in different ways, causing people to search and think of new ways to use data. Machine learning technology and its growing capability is a huge driver of that automation. 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. “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 . 1.) Furthermore, new cloud data warehouse technologies have made it possible to securely share data with key stakeholders outside the organization, enabling Infonomics; the principle of measuring, managing, and monetizing data as a business asset. Data Sharing: The Breakdown of Company Silos & the Entryway to Infonomics. 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 2019, enterprise demands rose for real-time and near real-time analytics, and data continued to expand its role in everyday business operations and decision-making. Join us at Gartner Data & Analytics Summit 2020 in Mumbai for further insights. Analytics Insight predicts the internet of things will be merged with data analytics in 2020. The growth of the Internet of Things (IoT)is having a big impact on lots of areas within many IT companies, one of which being data analytics. Many companies still have legacy systems and methodologies that lead to silos of data. Trend 4: Crowdsourced Data Management The 2020 Gartner Data & Analytics Summit in Mumbai, India covers topics on customer analytics, iot, machine learning, advanced data analytics, data driven culture & more. It encompasses applications in the field of complex adaptive systems that bring together multiple traditional and advanced disciplines. Responsible AI that enables model transparency is essential to protect against poor decisions. The EU’s GDPR (General Data Protection Regulation) has made a significant impact and at least 25 states in the U.S. have created their own privacy protection laws. But these data can bring business value only when data analytics is involved to explore profound implications and point to possible solutions. Conversational Analytics and Natural Language Processing According to Gartner, it was predicted that by 2020, about 50% of analytical queries will be generated through search, voice and natural language processing incorporated into different tools for easy use and access. Discover the top 10 data and analytics trends that will change your business. 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. 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. Data marketplaces and exchanges provide single platforms to consolidate third-party data offerings. 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. This helps medical and public health experts predict disease spread, find new treatments and plan for clinical management of the pandemic. In the year 2020, this trend will continue to accelerate and evolve, bringing in more innovation and more sophisticated approaches to data analytics than ever before. The Cloud: No Limits to Data Warehousing In addition, consider investigating how graph algorithms and technologies can improve your AI and ML initiatives. Below, we gathered the prominent trends in analytics technology, inspired by Gartner's report about big data trends. Please see this link for further details. Download research and learn the 2 steps that data and analytics leaders should take to determine the role of data and analytics teams in improving decisions. Think about Virtual Reality (VR) gaming headsets that create lifelike experiences for gamers, or Augmented Reality (AR) capabilities that many online retailers are using to give consumers the ability to see how products will look inside their home before they purchase. For that  reason, the cloud will be the future of the data warehouse. It also converts metadata from being used in auditing, lineage and reporting to powering dynamic systems. Organisations will no longer be restricted by the same financial, hardware and staffing requirements that would have previously prevented them from incorporating data analytics and machine learning into the business operations. Both the concepts have a lot of importance in the future and hence, is a crucial mention while talking about data analytics trends in 2020. It is expected that business will work towa… We're at a point in time where we're able to create new realities with technology, and emulate a physical world through the means of a digital world. Gartner has suggested five major trends are shaping analytics and BI, and that augmented analytics will be the top selling feature of analytics solutions in 2020. In this new business paradigm, data is a strategic asset that drives transformation. To address this problem, a new services practice, Business Insights needs to be applied to provide an understanding of why business events are happening, and to give direction on how to proceed in the future to achieve the desired results. Dynamic data stories with more automated and consumerized experiences will replace visual, point-and-click authoring and exploration. It’s apparent that legacy on-premises platforms have failed to make data accessible to all users. According to IDG's State of the CIO 2020 report, 37 percent of IT leaders say that data/business analytics will drive the most IT investment at their organization this year. You’re one step closer to enabling an analytics-driven organization. Blockchain technologies address two challenges in data and analytics. 2.) Second, blockchain provides transparency for complex networks of participants. 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. AI and machine learning are critical realigning supply and the supply chain to new demand patterns. Data marketplaces and exchanges provide single platforms to consolidate third-party data offerings. Augmented analytics has revolutionized the paradigm by combining machine intelligence and machine learning techniques to create a new way to create, develop, share and consume. This article has been updated from the June 9, 2020 original to reflect new events, conditions and research. By 2022, 35% of large organizations will be either sellers or buyers of data via formal online data marketplaces, up from 25% in 2020. Companies that fail to comply with privacy requirements are in danger of lawsuits, fines, and public backlash. Eventually, this could lead to more scalable AI solutions that have higher business impact. 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. We should expect that others will follow suit. 5G Will Make Continuous Intelligence Go Mainstream. Beyond tools, focus on people and processes to foster communication and collaboration. By 2020, over 40 percentof all data science tasks will be automated. 5.) Data and analytics leaders need to evaluate opportunities to incorporate graph analytics into their analytics portfolios and applications to uncover hidden patterns and relationships. This achieves real-time data sharing that is quick, controlled and secure. Gartner identifies “Democratised Data Analytics” as one of their top ten strategic technology trends for 2020. Cloud data warehouses provide the benefits of flexibility, agility, low system administration overhead, cost effectiveness, scalability and performance. Conversational analytics further enhances this concept by allowing questions & queries to be asked via voice search. Analytics trends to watch out for in 2020. Technologies like Thoughtspot, Qlik, Tableau, Microsoft Power BI, and SAP have all have added capabilities to address the need for Natural Language Processing and Conversational Analytics. Hybrid and multi-cloud architecture 2. 10 Data and Analytics Trends for 2020 Here are the trends you need to watch in the years ahead. The trials use a living database that compiles and curates data from trial registries and other sources. Many organizations do not have the knowledge and experience that's required to truly understand what data means to the business and how to apply it to improve the present state. 7.) 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. Keep pace with the latest issues that impact business. It’s an exciting time in the world of data warehousing and 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. 8.) 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. 5. The power of information investigation is, generally speaking, even more solidly grasped when settling on a more significant piece of emotional decisions like enrollment and marking. Quantitative analysis, experimental analysis, … Today, a cloud data warehouse should be used for effective and efficient data sharing that can breakdown silos. In the analytics arena, companies cannot neglect data security, data privacy, and compliance. Este artículo fue escrito por Consider investigating how graph algorithms and technologies can improve your AI and ML initiatives. Blockchain, which is a growing list of records called blocks that are linked using cryptography will show potential this year. 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. As a result, the amount of time users spend using predefined dashboards will decline. We’ve noted 5 major trends at the intersection of big data and analytics that we believe are going to continue shaping 2020: 1. The 3 Knights of Digital Transformation: Data Governance, Data Strategy & Business Strategy. First, blockchain provides the full lineage of assets and transactions. The big data analytics trends in 2020 are changing their working, marketing, and procedure models in like manner. Continuous Intelligence converts real-time data from IoT sensors into better business decisions. All rights reserved. Slow-Shift Trends These trends are starting to surface. Augmented data management products can examine large samples of operational data, including actual queries, performance data and schemas. By 2021, Gartner estimates that most permissioned blockchain uses will be replaced by ledger DBMS products. Data as service: Data as a service uses clo u d technology to give users and applications with on-demand access to … It is hard to be aware of all that, however, IoT and digital gadgets are required to get a balance in big data trends 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. There are such enormous numbers of advancements that expect to change the current business situations in 2020. The Merging of Blockchain with Analytics to Empower Data Security. Given Trends These trends are a must, and they require action now. This impacts not only the technologies and capabilities provided, but also the people and processes that support and use them. By 2023, graph technologies will facilitate rapid contextualization for decision making in 30% of organizations worldwide. A cloud data warehouse does this by giving users access to the same live data, eliminating the need to move data, rebuild models, or create pipelines to share data and objects. We have segmented the 10 trends for 2020 into three categories: Given TrendsThese trends are a must, and they require action now. Increased Data Literacy: The previous trend will push the need for increased data literacy in an enterprise.Ordinary business users will realize the need for personal data literacy. Vendors offering end-to-end workflows enabled by augmented analytics blur the distinction between once separate markets. Data and analytics are undoubtedly capable of accelerating renewal or recovery for organizations post the COVID-19 pandemic. This will put the Data Strategy and Data Governance into the strategic lines of the business and will result in greater control and responsiveness from the entire organization. 3.) It helps minimize the cost of labor and downtime, and improves customer satisfaction. IoT and Big Data. Slow-Shift Trends: These trends are starting to surface. Natural Language Processing & Conversational Analytics: The Boost to Data Democratization. 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. Using the existing usage and workload data, an augmented engine can tune operations and optimize configuration, security and performance. A Data Fabric is an architecture that enables seamless access and data sharing in a scattered data environment. 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. Welcome to the Age of Data Privacy & Data Security. The way technology is transforming businesses at a rapid pace, let us take a look at some of the Data Analytics trends and predictions that we could see in the year 2020. Get best practices based on research and interactions with thousands of organizations. Get actionable advice in 60 minutes from the world's most respected experts. 10.) Additionally, it can administer an origin of assets and transactions, and provide transparency for complex networks of participants. Immersive Analytics: An Alternate Digital Reality. Privacy and personalization are going to butt heads into 2020 as consumers become increasingly privacy-conscious, yet more demanding of their personalized data. 4.) It’s commonly used to manage supply chains, warehouses and procurement. Enterprises will … Making data more accessible to all people continues to be a priority across organizations, and Natural Language Processing; a form of AI that analyzes text, and Conversational Analytics; a form of AI that analyzes voice, both need to be used to support this initiative. *Note some documents may not be available to all Gartner clients. 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. Scroll down to see an edited transcript of highlights from"Data Analytics 2020." In 2020, in-memory computing will pick up fame because of the decreases in expenses of memory. 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. Top 8 Cloud, Data and Analytics Trends for 2020. All rights reserved. Gartner predicts by 2023, 33% of large organizations will adopt analysts practicing decision intelligence and decision modeling making them big trends in big data analytics. These trends can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset. By 2020, there will be around 30.73 millionof IoT (Internet of Things) connected devices. In response to the COVID-19 emergency, over 500 clinical trials of potential COVID-19 treatments and interventions began worldwide. By 2022, 35% of large organizations will be either sellers or buyers of data via formal online data marketplaces, up from 25% in 2020. These examples are immersive experiences that place us in a new digital world or bring the digital into the real world. To break down silos, and to simplify and make data management integration consistent across cloud and on-premise, companies need a Data Fabric. 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. 2020 will be the year that all of us were forced to think more deeply about our businesses. 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