We have designed Gartner Data & Analytics Summit 2022 to address these changes, create new opportunities and prepare organizations for the future. or what is happening? This track addresses how to make analytics fundamental to all parts of the business in a trusted way. At the conference, the top 5 sessions that data and analytics leaders attended were: We hope you enjoyed the 2022 Gartner Data & Analytics Summit! The technologies needed across data, all its use cases, and the analysis of that data exist across a wide range, and this helps explain the varied use by organizations and vendors of the term data and analytics (or data analytics). What are the key elements of data and analytics strategy? This spotlight track highlights all the specific content about data management. D&A governance does not exist in a vacuum; it must take its cues from the D&A strategy. Create a strategy to innovate business and accelerate change. This track investigates critical topics such as unleashing innovation, redefining culture and building and managing creative teams. Prescriptive analytics includes bothrule-based approaches(incorporating known knowledge in a structured manner) andoptimization techniques(traditionally used by operations research groups) that look for optimal outcomes within constraints to generate executable plans of action. This is most helpful with ML built on data sets that do not include exceptional conditions that business users know are possible, even if remotely. and This track explores how to architect disparate data and analytics capabilities across your various data and analytics vendors and solutions. Attendees had access to over 100 sessions of the latest Gartner research specifically designed to help data and analytics leaders meet the demands of the future. Such data is still needed to help train these ML models. Advanced analytics provides a growing opportunity for data and analytics leaders to accelerate the maturation and use of data and analytics to drive smarter business decisions and improved outcomes in their organizations. Each track had a particular area of focus that helped deliver what matters most to them and their organizations. Data and analytics leaders are using X analytics to solve societys toughest challenges, including climate change, disease prevention and wildlife protection. The ability to communicate in the associated language to be data-literate is increasingly important to organizations success. gartner Master data management (MDM) alone does not address the needs of the business. gartner data webinars (Also see What is advanced analytics?). Connect with peers and Gartner experts to drive stronger performance on your misson-critical priorities. Gartner Terms of Use Cloud service providers are creating yet another form of complexity as they increasingly dominate the infrastructure platform on which all these services are used. Data and analytics leaders are expanding their sphere of influence and impact on the business. Augmented data management products can automatically discover metadata from operational data, including actual queries, performance data and schemas. Foster the cultural changes needed to make the use of data and analytics pervasive to impact the business. Gartner Terms of Use Traditional D&A platforms are challenged to handle increasingly complicated analytics, and the total cost of ownership of on-premises solutions continues to grow because of the complexity, increased resources and maintenance of the environment. gartner Analytics, as described, comprises four techniques: This uses business intelligence (BI) tools, data visualization and dashboards to answer, what happened? Harnessing innovative technologies to change business models and define new ways to interact with and serve customers, partners, suppliers and employees is a top priority. Augmented analyticsrefers to the use of ML/AI techniques to transform how insights from analytics are developed, consumed and shared. gartner gartner quadrant assumptions strategic All rights reserved. Gartner Terms of Use Build effective data governance programs. Diversity, privacy, sustainability and other societal concerns are now top of mind with consumers. Explore the 2022 conference schedule and join us to explore emerging trends, accelerate learning and guide near-term decisions. 2022Gartner, Inc. and/or its affiliates. In a recent Gartner survey, 65% of respondents said the decisions they make are more complex than just two years ago, and 53% said they face more pressure to explain or justify their decisions. References to data imply or should imply operational uses of that data in, say, business applications and systems, such as core banking, enterprise resource planning and customer service. 22 24 May 2023 | London, U.K. How Decision Intelligence Improves Business Outcomes. Join the world's most important gathering of data and analytics executives along with Gartner experts to share valuable insights on technology, business, and more. Data and analytics program lead (VP, director, manager) Gartner conferences bring together forward-thinking leaders like you to explore emerging trends, accelerate your learning and guide near-term decisions. It encompasses applications in the field of complex adaptive systems that combine multiple traditional and advanced disciplines. The small-data approach uses a range of analytical techniques to generate useful insights, but it does so with less data. Define and execute on strategy by aligning to business value and closing the data, technology, organization and skills capabilities gaps necessary for success. Predictive analytics typically deals with probabilities and can be used to predict a series of outcomes over time (that is, forecasting) or to highlight uncertainties related to multiple possible outcomes (that is, simulation). For conferences taking place in the State of Florida, Gartner now recommends, but does not require, all attendees and exhibitors be fully vaccinated to participate in this years conference. Please try again later. Each track has a particular area of focus to help you deliver on what matters most to you and your organization. Data fabrics have emerged as an increasingly popular design choice to simplify an organizations data integration infrastructure and create a scalable architecture. Critical Capabilities: Analyze Products & Services, Digital IQ: Power of My Brand Positioning, Magic Quadrant: Market Analysis of Competitive Players, Product Decisions: Power Your Product Strategy, Cost Optimization: Drive Growth and Efficiency, Strategic Planning: Turn Strategy into Action, Connect with Peers on Your Mission-Critical Priorities, Peer Insights: Guide Decisions with Peer-Driven Insights, Sourcing, Procurement and Vendor Management, 5 Data and Analytics Actions For Your Data-Driven Enterprise, Data and analytics program lead (VP, director, manager), Leadership and Skills: Be The Change Maker, Business Strategy and Value: Optimize impact, Trust Governance and Sharing: An Urgent Imperative, Analytics Everywhere: Better Decisions, Realize Value, Data Science and Machine Learning: Unleash Innovation, Artificial Intelligence: Delivering Value at Scale, Data and Analytics Architecture: Your Digital Acceleration Ecosystem, Emerging Technologies and Trends: Reach Beyond, Master Data Management: Build the Foundation, Technical Insights: The Art of the Pragmatic, Data Management Data Everywhere for Every Use, Overcome data and analytics complexity and ambiguity to drive business value, Develop a clear line of sight to concrete objectives and results, Build a portfolio of innovative and relevant business, and industry-specific analytic applications, Exploit diverse data, thinking and teams to spark creativity and, Harness the right organization, skills, strategy and technologies to build a data-centric culture to support digital business. First-time attendee, and very impressed. Discover how to organize for success and not just survive but thrive. All rights reserved. We will continue to monitor the global and regional response to the pandemic and may adjust our plans accordingly. Thefuture of data and analyticstherefore requires organizations toinvestin composable, augmented data management and analytics architectures to support advanced analytics. gartner recap Data and analytics leaders are expanding their sphere of influence and impact on the business. quadrant gartner analytics advanced rapidminer platforms leaders magic data predictive networks 2021 science network platform predictiveanalyticstoday gartner takeaways Gartner provides world-class conferences across six core business areas to help you master your role, transform your business and tap into an unsurpassed peer network. This spotlight track addresses the shared fundamentals across MDM and data and analytics governance as well as advanced topics. Develop the leadership skills to bridge the gap between business and IT, drive innovation, make data and analytics central to your culture and build a resilient, adaptable and data-literate organization. The program for the 2023 Gartner Data & Analytics Summit is underway and we look forward to sharing details soon! Augmented data management uses ML and AI techniques to optimize and improve operations. Analytics (or what some call data analytics) refers to the analytical use cases of data that often take place downstream, as in after the transaction has occurred. Augmented analytics includes natural language processing and conversational interfaces, which allow users without advanced skills to interact with data and insights. Access over 150 sessions of the latest Gartner research specifically designed to help data and analytics leaders meet the demands of the future. Advanced analytics represents the use of data science and machine learning technologies to support predictive and prescriptive models. Distinguished VP Analyst, Global Conference Chair, Heads of data and analytics, CDOs, CAOs and senior business leaders, Analytics and business intelligence leaders, Information management and master data management leaders, 12 Quick Actions to Improve Your Data Quality, How to Drive the Business Value of Data and Analytics, The Foundation of a Modern Data & Analytics Strategy, The Foundation of an Effective Data and Analytics Operating Model. gartner analytics data itnews quadrant gartner rapidminer However, this kind of lasting, meaningful change requires people to learn new skills and behavior. (Also see What is the future of data and analytics technologies?). Data has become the most important asset of an organization, and the management of data is now pervasive throughout the entire organization. Using the existing usage and workload data, an augmented engine can tune operations and optimize configuration, security and performance. Architects Gartner coined the term X analytics to be an umbrella term, whereX is the data variable for a range of different structured and unstructured content such as text analytics, video analytics, audio analytics, etc. Understand the latest trends and tools in data and analytics. By clicking the "Continue" button, you are agreeing to the Effective data and analytics governance must also balance enterprisewide and business-area governance, but it requires a standardized enterprise approach that has proven to sufficiently engage business leaders. gartner quadrant The following are examples of combining the predictive capabilities of forecasting and simulation with prescriptive capabilities: Data and analytics is also used in different waysfor different types of decisions. gartner intelligence business analytics trends major hype data In contrast, cloud data and analytics offers more value and capabilities through new services, simplicity and agility to handle data modernization and demands new types of analytics, such as streaming analytics, specialized data stores and more self-service-friendly tools to support end-to-end deployment. The wide data approach enables the data analytics and synergy of a variety of small and large data sources both highly organized largely quantitative (structured) data and qualitative (unstructured) data. As a result of the shift to more dynamic, in-context data stories for insight monitoring and analysis, the percentage of time users spend in predefined dashboards will decline. Build the right information strategy and architecture to help the business exploit data and analytics to improve business outcomes. This track provides guidance for putting trusted, agile data and analytics and AI governance practices in place. Please try again later. By clicking the "Continue" button, you are agreeing to the gartner quadrant rocketsource alteryx 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. First, AI systems will grow more adaptable to complex business situations particularly important to businesses during COVID-19. quadrant gartner Gartner Data & Analytics Summits give data and analytics leaders the guidance and insight to build and execute a future-proof strategy that delivers real business value. Data and analytics leaders must select and invest in the most appropriate data and analytics technologies and strategies that will accelerate their digital ambitions. Get guidance and best practices to move your information governance and MDM efforts from theory to action. Leverage existing infrastructure and innovation by aligning information capabilities, architecture and technology to support the data and analytics strategy. However, over the next few years, augmented analytics will enable ML and AI techniques to automate certain data and analytics tasks. Cloud deployment whetherhybrid,multicloudor intercloud must account for many D&A components, including data ingestion, data integration, data modeling, data optimization, data security, data quality, data governance, management reporting, data science and ML. Empower the entire organization with access to the right tools and data. As organizations increase investments in new chip architectures such as neuromorphic hardware, theyre reducing reliance on centralized systems that require high bandwidths. Finally, AI security and explainability is a concern, with AI data pipelines at risk. What is the future of data and analytics technologies? Join us at Gartner Data & Analytics Summit to discover how to reduce complexity, develop new tools and methods to drive innovation and deliver business value.. Maximize your value to your organization. Gartner Terms of Use Attend a Gartner virtual or in-person conference to get actionable, objective insights from Gartner experts and speakers, immerse yourself in peer discussions and leave with the right tools to turn strategy into successful execution. Gartner Terms of Use Privacy Policy. Developing and operationalizing data science and machine learning (ML) can be daunting. Advanced analytics can leverage different types and sources of data inputs than traditional analytics does and, in some cases, create net new data, so it requires a rigorous data governance strategy and a plan for required infrastructure and technologies. Data and analytics is especially important to modern businesses as it can improve decision outcomes for all types of decisions (macro, micro, real-time, cyclical, strategic, tactical and operational). Concerns over data sourcing,data quality, bias and privacy protection have also affected big data gathering and, as a result, new approaches known as small data and wide data are emerging. Once widely implemented, data fabrics could significantly eliminate manual data integration tasks and augment (and, in some cases, completely automate) data integration design and delivery.