Drive better, faster insights and innovation with data warehouse modernization, big data analytics, and cloud analytics.
What's hampering successful next-gen analytics and the data management architecture that fixes the problems.
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Understand the 8 symptoms of bad data and how to avoid them.
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An essential workbook for building an intelligent data management architecture for better analytics.
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Accelerate business-value delivery by enhancing your current data warehouse.
Data integration now involves capturing, processing, and moving data—both new and old. Only with modern DI solutions, can you satisfy new and future requirements for big data, analytics, and real-time. Get TDWI's 7 recommendations for DI modernization.
Why and how scalable data management must support data warehouse modernization, big data analytics, and cloud analytics.
Advice and demonstrable ROI for getting business support for an effective analytics architecture.
Real-time data updates can enable your data warehouse to support capabilities such as real-time operational decision making and real-time customer service. This infographic details the benefits and cost savings of real-time data warehouses deployments at real customer sites.
Today, creating an effective data integration strategy is not about resolving business issues; it's about enabling business change. Read Bloor's assessment of the costs and uses for modern data integration platforms.
UPMC's industry-leading data governance initiatives have helped the healthcare provider to deliver analytics to optimize patient outcomes by increasing the efficiency of research into diseases.
Quintiles business and IT collaborate to deliver data five times faster and at a third of the cost thanks to the biopharmaceutical development company's data integration efforts.
Is the data warehouse obsolete? It most certainly is not. Our next-gen analytics expert explains why.
Find, prepare, govern, and protect the big data you need to get business value quickly.
Get TDWI’s recommendations on best practices to put in place to turn big data into big value.
Your big data analytics shouldn't be another data silo. Learn how to build one platform to draw value from all your data.
Get Gartner's assessment of how to align big data with master data management for competitive advantage.
Forrester’s assessment of the critical capabilities needed to effectively manage big data.
With master data management, organizations can make big data more accurate, reliable, and usable.
Get the IDG report to learn how to use big data and new technologies to get valuable insights.
Read how Western Union ensures it has great data for statistical modeling and predictive analysis.
MD Anderson created a single source of hugely disparate longitudinal patient data to power insight discovery.
Integrate data from any sources and make decisions on clean, connected, and secured data.
Get actionable advice on how to evaluate and add cloud analytics to your data management architecture.
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Discover which market trends are driving cloud analytics adoption, and what cloud solutions are most likely to be adopted.
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A full 71% of businesses plan to adopt hybrid or cloud-only analytics within the next three years to deliver competitive advantage. See more stats from the IDG survey.
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Combining a cloud integration solution with Amazon Redshift can add more value to your analytics needs. Find out how.
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Discover how Grant Thornton leverages its on-premise and cloud data assets for better business insights.
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Read what our bloggers are saying about data management for analytics and respond in the comments section.
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