Written by Jill Dyche and Kimbery Nevala, 10 Mistakes to Avoid When Launching your Data Governance Program lays out a comprehensive list of issues that can trip up an organization as it gets started with DG. Learn how to use good judgment and sound dec…
This paper by the International Institute for Analytics (IIA) looks at the obstacles to customer-centricity. It also explores how organizations can use analytics and technology platforms to become genuinely customer-centric, and make the right connecti…
Should you modernize with Hadoop? If your goal is to catch, process and analyze more data at dramatically lower costs, the answer is yes. In this eBook, we interview two Hadoop early adopters and two Hadoop implementers to learn how businesses are mana…
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But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this eBook you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management. |
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Data constantly flows in and out of organizations from electrical and mechanical sensors, RFID tags, smart meters, mobile devices and other objects. Analysts believe this data has triggered a new type of industrial revolution driven by highly accurate, real-time analysis, alerts, and automated decisions and actions. The key to capturing new opportunities created by these trends is streaming analytics. This technology can extract meaning from data as it’s created and automate reactions in milliseconds. Read the paper to learn more and to hear from SAS customers who have used streaming analytics to develop revolutionary business models and revitalize their productivity and success. |
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If you’re in the data world, you know it’s full of discord. Multiple data sources, inconsistent standards and definitions, inaccurate reports and a lack of governance are enough to derail any organization. What’s an enterprise architect to do?
With the right data governance and master data management (MDM) solution, you can set and enforce policies and establish a consistent view of your data without micromanaging it. You can eliminate duplicate and inconsistent data. You can combine traditional data and new big data sources – like streaming data from the IoT – into one harmonious view. Read this eBook for expert advice and case studies that will show you new ways to manage your big data – and make sure everyone’s on the same page. |
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This paper explains core data management capabilities, then describes how a solid data management foundation can help you get more out of your data. From getting fast, easy access to trustworthy data to making better decisions and becoming a data-driven business, you’ll learn why good data management is essential to success. Multiple real-world examples illustrate how SAS customers have used data management to improve customer experience, boost revenue, remain compliant and become more efficient. |
Most have a tsunami of data, but it is of little benefit if users cannot interact with it effectively to share insights in presentations, email, texts and meetings. New tools that combine the powers of data visualization with easier-to-use analytics ar…
Web-based collaboration tools claim to break down the collaboration barriers that distance can build. Everyone agrees they can reduce the time and cost of travel. And yes, these tools can stream your colleagues’ voices, facial expressions, and slide de…
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Download this exclusive Moogsoft newsletter — featuring case study data from SAP/SuccessFactors, HCL Technologies, and others, as well as AIOps research and recommendations from Gartner, Inc. — to fully understand the benefits of AIOps for…
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