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Executive Summary Streaming Analytics In theory, data-driven enterprises stand to gain a competitive advantage, responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. As all enterprises strive to be data-driven, however, making a higher proportion of decisions based on data is no longer enough to differentiate. The winners will... Read More

Topics: Analytics, Data, AI, Streaming Analytics, Real-Time Data


Executive Summary Messaging and Event Processing The starting point for a real-time data strategy is the ability to capture and communicate information related to business events as they occur. As applications and devices record events, enterprises must capture the relevant information and ensure it is conveyed to any dependent applications, devices or systems to trigger required actions. ISG... Read More

Topics: Analytics, Data, AI, Real-Time Data, Messaging, Event Processing


Executive Summary Application Integration Data-driven enterprises rely on a complex web of applications to operate efficiently. Individually, these applications serve a specific purpose—such as human capital management, supply chain management and enterprise resource planning—but these functions do not operate independently. To operate efficiently, enterprises need to ensure that their chosen... Read More

Topics: Analytics, Data, AI, Application Integration, Real-Time Data


Executive Summary Real-Time Data As enterprises strive to be data-driven, making a higher proportion of decisions based on data becomes the norm. To differentiate from the pack, enterprises need to process and analyze more data and increase the frequency with which data-driven decisions are made by acting upon data in real time. To differentiate from the pack, enterprises need to process and... Read More

Topics: Analytics, Data, AI, Real-Time Data


Executive Summary Data Products Data as a product is one of four key principles of data mesh, a cultural and organizational approach, alongside domain-oriented ownership, self-serve data infrastructure and federated governance. However, each of these four principles is gaining momentum outside the context of data mesh. Data as a product is the process of applying product thinking to data... Read More

Topics: Data Products, IT and Technology-focused Software and Services, Analytics and Data, DataOps


Executive Summary Data Pipelines The development, testing and deployment of data pipelines is a fundamental accelerator of data-driven strategies. The pipelines enable enterprises to extract data generated by operational applications that run the business and transport it into the analytic data platforms used to analyze the business. ISG Research defines data pipelines as the systems used to... Read More

Topics: Data Pipelines, IT and Technology-focused Software and Services, Analytics and Data, DataOps


Executive Summary Data Orchestration While data-driven enterprises stand to gain a competitive advantage by responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences, this increasingly relies on a complex array of data pipelines to support agile, continuous data processing. Given the increasing complexity of evolving data sources and... Read More

Topics: Data Orchestration, IT and Technology-focused Software and Services, Analytics and Data, DataOps


Executive Summary DataOps As enterprises embracing artificial intelligence move from initial pilots and trial projects through deployment and into production at scale, many are realizing the critical importance of agile and responsive data processes. These processes are often combined with tools and platforms that facilitate data management to improve trust in the data used for AI and analytics.... Read More

Topics: IT and Technology-focused Software and Services, Analytics and Data, DataOps


Executive Summary Data Observability Maintaining data quality and trust is a perennial data management challenge, often preventing enterprises from operating at the speed of business. In addition to automating and coordinating the creation, scheduling and monitoring of data pipelines via data orchestration, it is also critical to monitor the quality and reliability of the data flowing through... Read More

Topics: Data Observability, IT and Technology-focused Software and Services, Analytics and Data, DataOps


Executive Summary Data Intelligence Today’s enterprises seek to increase data-driven decision-making to gain competitive advantage and improve efficiency. It is ironic, however, that many organizations lack information about when and how data is used in decision-making processes. The capabilities that provide enterprises with information about how data is generated and consumed across the... Read More

Topics: Data Intelligence, IT and Technology-focused Software and Services, Analytics and Data


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