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Data and analytics is also acatalyst for digital strategyand transformation as it enables faster, more accurate and more relevant decisions in complex and fastchanging business contexts. 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. This spotlight track addresses the shared fundamentals across MDM and data and analytics governance as well as advanced topics. Data and analytics functions have always been critical to organizations, but now they have taken center stage as vital to business strategy. As organizations increase investments in new chip architectures such as neuromorphic hardware, theyre 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. 22 24 May 2023 | London, U.K. How Decision Intelligence Improves Business Outcomes. Leverage existing infrastructure and innovation by aligning information capabilities, architecture and technology to support the data and analytics strategy. Please try again later. and Data and analytics governance(or what many organizations call information governance) specifies decision rights and accountability to ensure appropriate behavior as organizations seek to value, create, store, access, analyze, consume, retain and dispose of their information assets. 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. This spotlight track highlights all the specific content about data management. At the same time, D&A can unearth new questions and innovative solutions to questions and opportunities that business leaders had not even considered. Establish data quality and master data within the organization. All rights reserved. Digital acceleration requires that enterprises transition from being data-driven to being data-and-analytics-centric. Create a strategy to innovate business and accelerate change. D&A governance does not exist in a vacuum; it must take its cues from the D&A strategy. Data governance and master data management (MDM) 2022Gartner, Inc. and/or its affiliates. (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. The small-data approach uses a range of analytical techniques to generate useful insights, but it does so with less data. and Leverage key data and analytics trends to drive business outcomes. For example, sales leaders can use diagnostics to identify the behaviors of sellers who are on track to meet their quotas. The application of data analytics provides an opportunity to reengineer how decisions are made for improved business outcomes. Conferences for Data and Analytics Leaders, quantifying and communicating business outcomes, complement the best of human decision making, Forecasting the risk of infection during a surgical procedure combined with defined rules to drive actions that mitigate the risk, Forecasting incoming orders for products combined with optimization to proactively respond to changing demand across the supply chain, but not relying on historical data that might be incomplete or dirty, Simulating the division of customers into microsegments based on risk combined with optimization to quickly assess multiple scenarios and determine the optimal response strategy for each, start with the mission and goals of the organization, determine the strategic impact of data and analytics on those goals, prioritize action steps to realize business goals using data and analytics objectives, build a data and analytics strategic roadmap, implement that roadmap (i.e., projects, programs and products) with a consistent and modern operating model, communicate data and analytics strategy and its impact and results to, Analytics and BI represent the foundational or traditional way to develop insights, reports and dashboards. Privacy Policy. What are the key elements of data and analytics strategy? Please try again later. If you missed it, be sure to explore what was covered at the conference. 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. Plan and optimize for data and analytics cloud ecosystems. Other analytical models aredescriptive,diagnosticorpredictive(also seeWhat are core analytics techniques?) and these can help with other kinds of decisions. Understand the latest trends and tools in data and analytics. They use this knowledge to help you address your biggest challenges in areas such as culture, digital trust, data literacy, augmented analytics and more. Data has become the most important asset of an organization, and the management of data is now pervasive throughout the entire organization. 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. 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. The CDO circle is an exclusive program within the overall agenda designed for Chief Data Officers (CDOs) andChief Analytics Officers (CAOs) to explore new strategies, share innovative ideas and grow their community of peers. Leverage data as a key asset to construct frameworks to build and execute on a successful strategy. Globally, more than 10,000 data and analytics leaders joined us virtually in 2021 to learn how to create and execute a data and analytics strategy that meets the ever-increasing demands of digital business. Gauging the current and desired future state of the D&A strategy and operating models is critical to capturing the opportunity. For example, data lakes can be used to manage unstructured data in its raw form. Achieving the change needed is difficult. To realize its great potential, AI must go beyond experimentation and prototyping. 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). As the rate of change continues, embracing flexibility, agility and adapting to new challenges is a must. 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). Decision intelligence brings together a number of disciplines, including decision management and decision support. This track provides guidance for putting trusted, agile data and analytics and AI governance practices in place. Modern D&A systems and technologies are likely to include the following. Master data management (MDM) alone does not address the needs of the business. Synthetic data, for example, is exploited by generating a sampling technique to real-world data or by creating simulation scenarios where models and processes interact to create completely new data not directly taken from the real world. Developing and operationalizing data science and machine learning (ML) can be daunting. This track is dedicated to exploring the strategies, tools, skills and talent needed for successful deployment. Diversity, privacy, sustainability and other societal concerns are now top of mind with consumers. Establish data quality and master data within the organization. It also converts metadata from use in auditing, lineage and reporting to powering dynamic systems. 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. Privacy Policy. Please check your inbox to confirm your subscription and add the domain @gartner.com to your safe sender list to ensure receipt of future email. 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 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. This track explores how to prioritize data and analytics investments and develop a strategy to ensure success. Data fabrics have emerged as an increasingly popular design choice to simplify an organizations data integration infrastructure and create a scalable architecture. Explore the 2022 conference schedule and join us to explore emerging trends, accelerate learning and guide near-term decisions. Augmented data management uses ML and AI techniques to optimize and improve operations. Gartner Terms of Use The combination of predictive and prescriptive capabilities enables organizations to respond rapidly to changing requirements and constraints. What does smarter, faster and more responsible AI look like? 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. Prescriptive analytics relies on techniques such as graph analysis, simulation, complex-event processing and recommendation engines. Deliver composable data and analytics architectures and data fabrics for the next decade. This creates a foundation for better decisions by leveraging sophisticated and clever mechanisms to solve problems (interpret events, support and automate decisions and take actions). Data and analytics are now vital to business strategy, adding significant value to digital transformation initiatives. 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. Determining how to architect the right products and solutions to deliver against your business objectives is paramount to success. This might sound like an argument for training every employee as a data scientist, thats not the case. We will continue to monitor the global and regional response to the pandemic and may adjust our plans accordingly. Cloud service providers are creating yet another form of complexity as they increasingly dominate the infrastructure platform on which all these services are used. Each track has a particular area of focus to help you deliver on what matters most to you and your organization. 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. 14 16 September 2022 | Tokyo, Japan Based on Gartner for Technical Professionals research, this track provides actionable insights into best practices and methodologies. 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. This track addresses how to make analytics fundamental to all parts of the business in a trusted way. Diversity, privacy, sustainability and other societal concerns are now top of mind with consumers. Analytics, as described, comprises four techniques: This uses business intelligence (BI) tools, data visualization and dashboards to answer, what happened? Enterprises are heading not toward a new normal but rather a no normal an environment of uncertainty and ambiguity that requires continuous flexibility, innovation, and investment or reinvestment in data and analytics strategy. Privacy Policy. 2022Gartner, Inc. and/or its affiliates. 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. Gartner Terms of Use 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.. 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. 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. Strive for the highest standards of ethics and trust. The key steps indata and analytics strategic planningare to: The enterprise operating model for data and analytics must also work to overcome gaps in the data ecosystem, architectures and organizational delivery approaches needed to execute the D&A strategy. By clicking the "Subscribe" button, you are agreeing to the When combined with predictive analytics, prescriptive analytics naturally draws on and extends predictive insights, addressing the questions of, what should be done? This leads to the idea of adecision model, which can includeprescriptiveanalytical techniques that generate outputs that are able to specify which actions to take. It encompasses applications in the field of complex adaptive systems that combine multiple traditional and advanced disciplines. This track investigates critical topics such as unleashing innovation, redefining culture and building and managing creative teams. Gartner top data and analytics trends help accelerate renewal, drive innovation and rebuild organizations and society over the next three to five years. These new insights can then lead to a transformation or other innovation. Error submitting the form. Build the right information strategy and architecture to help the business exploit data and analytics to improve business outcomes. Build effective data governance programs. This track explores emerging trends reshaping business today. As part of an overall data literacy program, data storytelling can create positive and impactful stakeholder engagement. 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. (Also see What is the future of data and analytics technologies?). Learn how to build a data and analytics strategy that enables digital acceleration and agility while driving significant business value. This spotlight track highlights all the specific content about data management. To ensure you have the most up-to-date information, the latest health & safety guidelines for each conference will be communicated directly to all registered participants via email no later than two weeks prior to the conference start date. Understand the latest trends and tools in data and analytics. We are excited to welcome you back to our in-person conferences this year. However, data fabrics are still an emergent design concept, and no single vendor currently delivers, in an integrated manner, all the mature components that are needed to stitch together the data fabric. Most organizations have found ways to derivebusiness intelligence from big data, but many struggle to manage and analyze a diverse and broad set of content (including audio, video and image assets) at scale particularly as the universe of data sources grows and changes and the need for insights is increasingly driven by advanced analytics. As the rate of change continues, embracing flexibility, agility and adapting to new challenges is a must. To realize its great potential, AI must go beyond experimentation and prototyping. 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. Make sure to reference specific business outcomes by integrating concrete, measurable metrics (e.g., percentage of customer retention in a specific market segment and percentage of revenue via ecosystem partners) that link data and analytics assets and initiatives with business and stakeholder value. 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. In short: While both are valuable to every organization for different reasons, the market as a whole is changing. Data fabric also consists of a mix of mature and less mature technology components, so organizations must carefully mix and match composable technology components as their use cases evolve. Discover what matters most now and how to prepare for whats ahead: Explore how we help you address your top challenges: Heads of data and analytics, chief data officers (CDOs), and chief analytics officers (CAOs) or what can we do to make a given outcome happen? Connect with peers and Gartner experts to drive stronger performance on your most critical priorities. Data and analytics leaders are using X analytics to solve societys toughest challenges, including climate change, disease prevention and wildlife protection. Save the date for the 2022 conference and check the websites for updates: Gartner Data & Analytics Summit Developing and operationalizing data science and machine learning (ML) can be daunting. This requires more drilled-down and data mining abilities to answer, why did X happen? Progressive organizations use data in many ways and must often rely on data from outside their boundary of control for making smarter business decisions. 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.

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