World News: 14:00 GMT Tuesday 14th January 2020. [TDWI via Globe Newswire via SPi World News]
Seattle, WA, Jan. 14, 2020 (GLOBE NEWSWIRE) -- has released its newest This original, survey-based report looks at the many competitive advantages enterprises can derive by analyzing a growing volume and variety of data sooner to meet daily business requirements. It explores why organizations need to modernize technologies and practices to eliminate bottlenecks that exist between data’s initial creation and collection and its consumption by humans, applications, and AI programs.
The author of the report, David Stodder, is senior director of TDWI Research for business intelligence. He explains that fact-based, data-driven decision making is key in today’s market, which drives the need for speed in analytics. “If an insurer or government healthcare agency can use predictive models to detect a fraud scheme before it has a chance to do significant damage, it can save costs and avoid public embarrassment.” A retailer, he explains, “can analyze data to uncover a trend in customer buying preferences before other retailers and gain an edge, potentially delivering higher market share and profitability.”
The report examines experiences, practices, and technology trends that focus on identifying and removing latencies in data’s life cycle to extract more timely insights. Stodder explains how organizations are using innovative technologies such as AI (including AI-driven augmentation), data streaming, and real-time analytics as well as newer ways of integrating, processing, preparing, and transforming data. The report also delves into the role of agile, DataOps, and other methods for organizing analytics projects and moving faster to create value.
This comprehensive report reveals:
The report includes a survey of technologies and cloud services in use (including data catalogs and glossaries; real-time processing; in-memory analytics; automated data classification; data virtualization; data transformation; pipelines; machine learning; on-demand, self-service, and embedded analytics; and data streams). It explores how, in a data-driven world, enterprises can reduce the latency between when data is created and collected and when it can be used for analytics.
This research was sponsored by Ascend.io, Denodo, Wyn Enterprise by GrapeCity, Matillion, and SAS.
David Stodder is senior director of TDWI Research for business intelligence. He focuses on providing research-based insight and best practices for organizations implementing BI, analytics, performance management, data discovery, data visualization, and related technologies and methods. He is the author of TDWI Best Practices Reports and Checklist Reports on AI for BI, cloud analytics, data visualization, customer analytics, big data analytics, design thinking, and data governance. He has chaired TDWI conferences on visual BI and analytics, business agility, and analytics. Stodder has provided thought leadership on BI, information management, and IT management for over two decades. He is an industry analyst, having served as vice president and research director with Ventana Research, and he was the founding chief editor of and . You can reach him at firstname.lastname@example.org, @dbstodder on Twitter, and on LinkedIn at linkedin.com/in/davidstodder.
For more than 20 years, TDWI has provided individuals and teams with a comprehensive portfolio of business and technical education and research about all things data. TDWI’s in-depth, best-practices-based knowledge can be quickly applied to develop world-class talent across your organization’s business and IT functions to enhance analytical, data-driven decision making. TDWI offers four major conferences as well as topical seminars, onsite education, membership, certification, live webinars, resource-filled publications, industry news, and in-depth research. Visit or follow us on Twitter .
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Globe Newswire: 14:00 GMT Tuesday 14th January 2020
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