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This product includes two reports: Market Share and Market Forecast.
Quadrant Knowledge Solutions Reveals that Decision Intelligence Platforms Market is Projected to Register a CAGR of 21.3% by 2028.
Decision intelligence platforms aim to provide organizations with capabilities to improve their decision-making processes by combining various technologies and methodologies. These platforms emphasize data integration and management, allowing organizations to integrate and manage data from multiple sources, including structured and unstructured data, to provide a comprehensive view for decision-making. Additionally, they offer advanced analytics and modeling tools, such as predictive analytics, optimization, simulation, and machine learning, to derive insights and generate predictions from data. Decision intelligence platforms also provide business intelligence and reporting capabilities, enabling users to visualize data, create dashboards, and generate reports to support decision-making processes. They facilitate collaboration and workflow management, enabling teams to work together, share insights, and streamline decision-making processes across the organization.
Quadrant Knowledge Solutions defines digital decisioning platforms as a software solution or suite that uses data-driven and rule-based techniques to automate decision-making processes within organizations. The platform uses advanced analytics, AI, machine learning (ML), and business rules to analyze data, produce insights, and suggest or automatically carry out decisions across numerous business channels and functions, including operations, risk management, marketing, and customer support. Digital decisioning platforms have the ability to ingest large amounts of data in real-time, allowing organizations to respond instantaneously to dynamic changes in the environment based on predetermined rules or models.
Quadrant Knowledge Solutions Reveals that Decision Intelligence Platforms Market is Projected to Register a CAGR of 21.30% by 2028.
Every Digital decisioning platform has undergone significant advancements since their introduction to the market. This can be attributed to the utilization of ML, AI, and customized rule engines that facilitate the development of decision logic. These platforms cater to both horizontal and vertical use cases and effectively manage the entire decision logic life cycle, thereby enhancing the decision-making process. The landscape of decision-making has experienced a transformative shift, enabling companies to make efficient, expedited, and transparent decisions. By integrating a range of technologies and approaches, digital decisioning platforms seamlessly provide substantial financial value to organizations. A pivotal element of this strategy is the end-to-end decision automation driven by the decision-centric approach. This approach empowers systems to make optimal, customer-centric, and situation-aware judgments.