and 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. Join us for thought-leading guidance and practical tools on how to: Understand how to lead cultural change, leverage data and analytics technologies, and upskill existing staff to deliver real business value. This track is dedicated to exploring the strategies, tools, skills and talent needed for successful deployment. 7 8 November 2022 | Sydney, Australia All rights reserved. Achieving the change needed is difficult. Digital acceleration requires that enterprises transition from being data-driven to being data-and-analytics-centric. This track explores emerging trends reshaping business today. Analytics, as described, comprises four techniques: This uses business intelligence (BI) tools, data visualization and dashboards to answer, what happened? When combined with predictive analytics, prescriptive analytics naturally draws on and extends predictive insights, addressing the questions of, what should be done? Data and analytics leaders are expanding their sphere of influence and impact on the business. This track explores how to architect disparate data and analytics capabilities across your various data and analytics vendors and solutions. X analytics enable organizations to combine content types and create a richer situation awareness beyond the insights that can be derived from only highly structured/transactional data. Prescriptive analytics intends to calculate the best way to achieve or influence the outcome it aims to drive action. Build effective data governance programs. Decision intelligence brings together a number of disciplines, including decision management and decision support. Take a deep dive into the data and analytics trends and tools that will change your organization, compare technology providers and separate hype from reality. 2022Gartner, Inc. and/or its affiliates. Finally, AI security and explainability is a concern, with AI data pipelines at risk. Gartner Terms of Use Connect with peers and Gartner experts to drive stronger performance on your most critical priorities. 
Maximize your value to your organization. Privacy Policy. It encompasses applications in the field of complex adaptive systems that combine multiple traditional and advanced disciplines. (Also see What is the future of data and analytics technologies?). Combining predictive and prescriptive capabilities is often a key first step in solving business problems and driving smarter decisions. 
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. By clicking the "Subscribe" button, you are agreeing to the We will continue to monitor the global and regional response to the pandemic and may adjust our plans accordingly. Leverage data as a key asset to construct frameworks to build and execute on a successful strategy. To realize its great potential, AI must go beyond experimentation and prototyping. 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. 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. AI techniques such as 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. 
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. 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. By 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modeling. Align data and analytics to business value. 
This track explores how to architect disparate data and analytics capabilities across your various data and analytics vendors and solutions. Architects Data and analytics leaders are using X analytics to solve societys toughest challenges, including climate change, disease prevention and wildlife protection. 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. Understanding the potential use cases for different types of analytics is critical to identifying the roles and competencies, infrastructure and technologies that your organization will need to be trulydata-driven,especially as the four core types of analytics converge with artificial intelligence (AI) augmentation. This might sound like an argument for training every employee as a data scientist, thats not the case. By 2023, organizations utilizing active metadata, ML and data fabrics to dynamically connect, optimize and automate data management processes will reduce time to integrated data delivery by 30%. Leverage existing infrastructure and innovation by aligning information capabilities, architecture and technology to support the data and analytics strategy. Data and analytics leaders must select and invest in the most appropriate data and analytics technologies and strategies that will accelerate their digital ambitions. At the same time, D&A can unearth new questions and innovative solutions to questions and opportunities that business leaders had not even considered. 
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. 
By clicking the "Sign up Now" button, you are agreeing to the 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. 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). Ultimately, organizations must decide whether to develop their own data fabric using modernized capabilities spanning the above technologies and more, such as active metadata management. 22 24 May 2023 | London, U.K. How Decision Intelligence Improves Business Outcomes. This track provides guidance for putting trusted, agile data and analytics and AI governance practices in place. 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. 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. Explore the 2022 conference schedule and join us to explore emerging trends, accelerate learning and guide near-term decisions. Understand the latest trends and tools in data and analytics. Align data and analytics with business outcomes and digital acceleration. The small-data approach uses a range of analytical techniques to generate useful insights, but it does so with less data. Privacy Policy. Save the date for the 2022 conference and check the websites for updates: Gartner Data & Analytics Summit and Augmented analyticsrefers to the use of ML/AI techniques to transform how insights from analytics are developed, consumed and shared. 
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. 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.. 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. This track is dedicated to exploring the strategies, tools, skills and talent needed for successful deployment. (Also see What are the key elements of data and analytics strategy?), Increasingly, organizations now use advanced analytics to tackle business problems, but the nature and complexity of the problem determines the choice of whether and how to use prediction, forecasting or simulation for the predictive analysis component. As the rate of change continues, embracing flexibility, agility and adapting to new challenges is a must. Data fabrics have emerged as an increasingly popular design choice to simplify an organizations data integration infrastructure and create a scalable architecture. 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. 
Progressive organizations no longer distinguish between efforts to manage, govern and derive insight from non-big and big data; today, it's all just data. Please try again later. This track provides guidance for putting trusted, agile data and analytics and AI governance practices in place. Strive for the highest standards of ethics and trust. This track addresses value opportunities, operating models, roles and skills, technology trends and best practices to turn AIs promise into a reality. Advanced analytics represents the use of data science and machine learning technologies to support predictive and prescriptive models. and 19 20 September 2022 | Mumbai, India Gartner Data & Analytics Summitaddresses the most significant challenges that data analytics leaders face as they build the innovative and adaptable organizations of the future.. Deliver composable data and analytics architectures and data fabrics for the next decade. Data has become the most important asset of any organization and data and analytics is more critical than ever. New use cases for data to support machine learning, artificial intelligence (AI) and analytics are endless. 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. Our team of Gartner experts conducts thousands of interactions every year with data and analytics leaders like you. and For example, data management platforms increasingly incorporate analytics, especially ML, to speed up their capabilities. The ability to communicate in the associated language to be data-literate is increasingly important to organizations success. 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. This, combined with NLP and business monitoring capabilities, will allow personalized data insights to be delivered to relevant business partners, increasing the business impact and decreasing the amount of predefined data dashboards in use.
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