Decision intelligence and modeling . 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. Siloed data within organizations is an ongoing problem that’s holding companies back from having a single version of the truth that they can collaborate on. Eventually, this could lead to more scalable AI solutions that have higher business impact. Immersive Analytics: An Alternate Digital Reality. By 2020, over 40 percentof all data science tasks will be automated. The spectrum of roles will extend from traditional data and analytics roles in IT to information explorer, consumer and citizen developer as an example. Decision intelligence brings together a number of disciplines, including decision management and decision support. In 2020, in-memory computing will pick up fame because of the decreases in expenses of memory. Given Trends These trends are a must, and they require action now. These dynamic insights leverage technologies such as augmented analytics, NLP, streaming anomaly detection and collaboration. Business Insights: The Key to Unlocking New Competitive Advantages. 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 encompasses applications in the field of complex adaptive systems that bring together multiple traditional and advanced disciplines. Organizations should create a Data Fabric that will speed-up data ingestion by using Machine Learning Operations (MLOps), Augmented Data Management, and an Automated Data Pipeline to automate tasks, and improve availability, security and the quality of data. By 2022, public cloud services will be essential for 90% of data and analytics innovation. Cloud data warehouses provide the benefits of flexibility, agility, low system administration overhead, cost effectiveness, scalability and performance. It’s apparent that legacy on-premises platforms have failed to make data accessible to all users. It helps minimize the cost of labor and downtime, and improves customer satisfaction. SDG Group refers to the SDG network and/or one or more of its member firms, each of which is a separate legal entity. Augmented data management products can examine large samples of operational data, including actual queries, performance data and schemas. The trials use a living database that compiles and curates data from trial registries and other sources. Additionally, it can administer an origin of assets and transactions, and provide transparency for complex networks of participants. These trends can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset. For example, the financial world could channel petabytes of live data through complicated network connections and communicate with countless other devices. © 2020 Gartner, Inc. and/or its affiliates. They will allow data to be consumed dynamically and in different ways, causing people to search and think of new ways to use data. This will make analysis less redundant and increase user productivity, as well as create new content and application experiences for both employees and customers. 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. Any unauthorized collection, negligent handling, or inadequate protection of data introduces numerous risks. 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. 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. Slow-Shift Trends: These trends are starting to surface. Data and analytics capabilities have traditionally been considered distinct capabilities  and managed accordingly. In response to the COVID-19 emergency, over 500 clinical trials of potential COVID-19 treatments and interventions began worldwide. Discover the top 10 data and analytics trends that will change your business. 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. 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. 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. 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. Companies that fail to comply with privacy requirements are in danger of lawsuits, fines, and public backlash. 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. de SDG Group. The Growth Of Increased Analytics. analytical. All rights reserved. Therefore, in order to complete Digital Transformation plans, both the Data Strategy; a plan primarily designed  to convert data into assets to achieve the company’s strategic objectives, and Data Governance; a work approach that facilitates an understanding of the data and information lifecycle, need to be a part of the overall Business Strategy, and pushed down from the C-Suite to the rest of the organization to be activated strategically. 10 Data and Analytics Trends for 2020 Here are the trends you need to watch in the years ahead. 1.) There are such enormous numbers of advancements that expect to change the current business situations in 2020. 8.) 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. Using the existing usage and workload data, an augmented engine can tune operations and optimize configuration, security and performance. 1.) 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. 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. By 2022, 35% of large organizations will be either sellers or buyers of data via formal online data marketplaces, up from 25% in 2020. 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. It is expected that business will work towa… 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. Continuous Intelligence converts real-time data from IoT sensors into better business decisions. Hybrid and multi-cloud architecture 2. Users can simply text or talk, just as if they were using a search engine or AI Assistants like Alexa, Siri, or OK Google. In this new business paradigm, data is a strategic asset that drives transformation. 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. 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. We should expect that others will follow suit. The big data trend of augmented analytics is growing rapidly to become the dominant method in 2020. Thanks to 5G streaming and the cloud, Continuous Intelligence is becoming more practical and less costly to adopt. 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. The prescriptive nature of Business Insights will result in the discovery of new competitive advantages for the business. Consider investigating how graph algorithms and technologies can improve your AI and ML initiatives. The collision of data and analytics will increase interaction and collaboration between historically separate data and analytics roles. Analytics Insight predicts the internet of things will be merged with data analytics in 2020. 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 help organizations capitalize on the latest innovations and surface the most impactful data insights, this article identified the top 8 data, analytics, and cloud trends for 2020. Ecommerce COVID-19 Stats: 6 Ways Coronavirus Changed Online Retail. 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. Organizations should adopt an Immersive Analytics approach by utilizing Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) to provide users with unique, engaging and meaningful analytics experiences. 6.) AI and machine learning are critical realigning supply and the supply chain to new demand patterns. Dynamic data stories with more automated and consumerized experiences will replace visual, point-and-click authoring and exploration. You’re one step closer to enabling an analytics-driven organization. This achieves real-time data sharing that is quick, controlled and secure. In 10 Enterprise Analytics Trends to Watch in 2020, Frank Bernhard, author of the upcoming book SHAPE – Digital Strategy by Data & Analytics, notes that in … Keep pace with the latest issues that impact business. *Note some documents may not be available to all Gartner clients. This is changing history, and companies have already started to transact with data and create new business models. Enterprises will … Data and analytics are undoubtedly capable of accelerating renewal or recovery for organizations post the COVID-19 pandemic. Welcome to the Age of Data Privacy & Data Security. Pre-COVID models based on historical data may no longer be valid. Data-heavy streaming or live data analysis streaming will gain considerable momentum in 2020 — not only for large, globally relevant sports. 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. 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. Vendors offering end-to-end workflows enabled by augmented analytics blur the distinction between once separate markets. Quantitative analysis, experimental analysis, … Part of the problem is that traditional sharing methods require manual and expensive processes to share even a small piece of a data warehouse. 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. Global leaders like Amazon Web Services, Samsung, Microsoft, and IBM are now competing in this space, and use cases beyond cryptocurrencies are beginning to pop up. These examples are immersive experiences that place us in a new digital world or bring the digital into the real world. Trends on the Rise: These trends will have a significant impact. To shed light on the rapidly growing data analytics sector, I’ll speak with two leading experts: Andi Mann, Chief Technology Advocate at Splunk, and Bill Schmarzo, CTO, IoT and Analytics, Hitachi Vantara. It’s commonly used to manage supply chains, warehouses and procurement. 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. Data Science trends for 2020 -2021. 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 entire process is also achieved much faster, boosting not just general efficiency but an organization’s reaction time to certain events, as well. 2.) 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. Second, blockchain provides transparency for complex networks of participants. Scroll down to see an edited transcript of highlights from"Data Analytics 2020." 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. We have segmented the 10 trends for 2020 into three categories: Given Trends: These trends are a must and require action now. 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. A Data Fabric is an architecture that enables seamless access and data sharing in a scattered data environment. 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. The Merging of Blockchain with Analytics to Empower Data Security. Get actionable advice in 60 minutes from the world's most respected experts. 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. 10.) 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. For that  reason, the cloud will be the future of the data warehouse. By 2020, there will be around 30.73 millionof IoT (Internet of Things) connected devices. By 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modeling. To break down silos, and to simplify and make data management integration consistent across cloud and on-premise, companies need a Data Fabric. Data Analytics & Artificial Intelligence Trends in 2020 May 13, 2020 / in Data Science Hack, Data Science News, Insights / by Aran Davies Artificial intelligence has infiltrated all aspects of our lives and brought significant improvements. In data and analytics, Blockchain can be leveraged to make data more clean and secure because it’s difficult to manipulate. By 2022, 35% of large organizations will be either sellers or buyers of data via formal online data marketplaces, up from 25% in 2020. Say Goodbye to Patchwork. First, blockchain provides the full lineage of assets and transactions. 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. 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. Beyond tools, focus on people and processes to foster communication and collaboration. 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. Data and analytics leaders need to evaluate opportunities to incorporate graph analytics into their analytics portfolios and applications to uncover hidden patterns and relationships. 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. Privacy and personalization are going to butt heads into 2020 as consumers become increasingly privacy-conscious, yet more demanding of their personalized data. 5.) Read about four major ways we see data analytics being reshaped by the unprecedented events of this year. 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. hbspt.cta._relativeUrls=true;hbspt.cta.load(4041825, 'c9e94649-b931-4336-9abd-1457153f1d4f', {}); Trends on the RiseThese trends will have a significant impact. Flow with a Data Fabric. Below, we gathered the prominent trends in analytics technology, inspired by Gartner's report about big data trends. The 3 Knights of Digital Transformation: Data Governance, Data Strategy & Business Strategy. Top 8 Cloud, Data and Analytics Trends for 2020. Este artículo fue escrito por 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. 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 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. 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. Now that data is the most transformative asset in business, it’s essential to prepare for what lies ahead, and to adjust strategies accordingly in order to successfully face the business landscape of tomorrow. Blockchain, which is a growing list of records called blocks that are linked using cryptography will show potential this year. 7.) This impacts not only the technologies and capabilities provided, but also the people and processes that support and use them. The big data analytics trends in 2020 are changing their working, marketing, and procedure models in like manner. Conversational analytics further enhances this concept by allowing questions & queries to be asked via voice search. Data and analytics leaders use X analytics to solve society’s toughest challenges, including climate change, disease prevention and wildlife protection. It helps data and analytics leaders find unknown relationships in data and review data not easily analyzed with traditional analytics. In the analytics arena, companies cannot neglect data security, data privacy, and compliance. 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. All rights reserved. From in-memory processing, predictive analytics and natural-language processing (NLP) to data automation and others. And today, thinking more deeply about the business must involve thinking more deeply about data. Data Sharing: The Breakdown of Company Silos & the Entryway to Infonomics. Responsible AI that enables model transparency is essential to protect against poor decisions. 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. Trend 4: Crowdsourced Data Management 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. Data marketplaces and exchanges provide single platforms to consolidate third-party data offerings. The Cloud: No Limits to Data Warehousing We have segmented the 10 trends for 2020 into three categories: Given TrendsThese trends are a must, and they require action now. To turn the collision into a constructive convergence, incorporate both data and analytics tools and capabilities into the analytics stack. Even large companies, and companies with significant pressure around data security and privacy will move to the cloud because new technologies have proven to be secure. How to Use Facial Recognition Technology Responsibly and Ethically, Data Sharing Is a Business Necessity to Accelerate Digital Business, Future of Sales 2025: Data-Driven B2B Selling to Drive Digital Commerce. Analytics trends to watch out for in 2020. 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. 3.) Gartner identifies “Democratised Data Analytics” as one of their top ten strategic technology trends for 2020. With more IoT sensors being connected to objects, an ever-expanding amount of data is generated. Join us at Gartner Data & Analytics Summit 2020 in Mumbai for further insights. Job roles should be created to define, deploy and monitor security policies. The Cloud: No Limits to Data Warehousing. By 2021, Gartner estimates that most permissioned blockchain uses will be replaced by ledger DBMS products. 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. Many companies still have legacy systems and methodologies that lead to silos of data. Leverage data and analytics ecosystems enabled by an augmented approach that have the potential to deliver coherent stacks. As a result, the amount of time users spend using predefined dashboards will decline. 2020 will be the year that all of us were forced to think more deeply about our businesses. 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. Machine learning technology and its growing capability is a huge driver of that automation. 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. 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. Today, a cloud data warehouse should be used for effective and efficient data sharing that can breakdown silos. By 2023, graph technologies will facilitate rapid contextualization for decision making in 30% of organizations worldwide. It’s an exciting time in the world of data warehousing and analytics. But these data can bring business value only when data analytics is involved to explore profound implications and point to possible solutions. It also converts metadata from being used in auditing, lineage and reporting to powering dynamic systems. 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. 5G Will Make Continuous Intelligence Go Mainstream. 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. 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. Natural Language Processing & Conversational Analytics: The Boost to Data Democratization. 5. Gartner is predicting the automotive and enterprise IoT market will expand to include 5.8 billion endpoints during 2020, rising by 21 percent from 2019. Please see this link for further details. It results in better human-machine collaboration and trust for greater adoption and alignment of decisions throughout the organization. We’ve noted 5 major trends at the intersection of big data and analytics that we believe are going to continue shaping 2020: 1. 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. “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 . 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. Augmented data management uses ML and AI techniques to optimize and improve operations. 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. Data as service: Data as a service uses clo u d technology to give users and applications with on-demand access to … IoT and Big Data. Slow-Shift Trends These trends are starting to surface. Get best practices based on research and interactions with thousands of organizations. Blockchain technologies address two challenges in data and analytics. In addition, consider investigating how graph algorithms and technologies can improve your AI and ML initiatives. It’s for good reason too because automation and powerful machine learning tools can help extract insights that would otherwise be difficult to find even by skilled analysts. 4.) 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. 9.) 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. 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. Data marketplaces and exchanges provide single platforms to consolidate third-party data offerings. This helps medical and public health experts predict disease spread, find new treatments and plan for clinical management of the pandemic. 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. 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. This article has been updated from the June 9, 2020 original to reflect new events, conditions and research. Recommended Gartner client* reading: Top 10 Trends in Data and Analytics, 2020 by Rita Sallam et al. There are innovative cloud data warehouses in the market, and companies need to move to a technology that supports a multi-cloud strategy, can instantly gather data from a myriad of data sources, and can scale to support essentially unlimited users and processing. Continuous Intelligence is a style of work that integrates real-time analytics into business operations, processing new and historical data to prescribe actions, and to automate the detection and responses to failures, patterns, or irregularities. 2020 in Mumbai for further insights you’re one step closer to enabling an analytics-driven organization change your.. All data science tasks will be around 30.73 millionof IoT ( Internet of Things be! Review data not easily analyzed with traditional analytics spend using predefined dashboards will decline consolidate third-party data offerings over percentof... 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