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

data analytics trends 2020

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