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operationalizing

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Published By: SAS     Published Date: Jun 05, 2017
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
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SAS
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Navigating Uncertainty & Disruption in a Post-Brexit World Risk management and finance professionals are navigating an unprecedented period of uncertainty. In a post-Brexit world, how can business leaders best navigate disruption? Data has become the most valuable business commodity, but not all data is meaningful. Data that helps you uncover hidden associations with customers, partners and suppliers can be a true catalyst for business transformation and growth. In this ebook, we have mapped out the crucial steps in the journey towards operationalizing relationship data to: - Define Relationship Data - Use relationship data to unlock new opportunities - Apply relationship data across the organization to drive growth
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Dun & Bradstreet
Published By: SAS     Published Date: Mar 14, 2014
The solution to operationalizing analytic s involves the effective combination of a Decision Management approach with a robust, modern analytic technology platform. This paper discusses both how to use a focus on decisions to ensure the right problem gets solved and what such an analytic technology platform looks like.
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sas, predictive analytics, technology platform, solution, operationalizing, production systems
    
SAS
Published By: IBM     Published Date: Jan 05, 2015
Ziff Davis recently surveyed over 300 IT professionals on the state of big data and analytics initiatives in their organizations. The results tell a compelling story: while most IT pros understand the value of big data, actually operationalizing their analytics strategies to deliver usable insights to their organizations remains a challenge.
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big data, it professionals, analytics initiatives, analytics strategies, analytic solutions, it management, enterprise applications
    
IBM
Published By: Aviatrix     Published Date: Jun 11, 2018
Once you've designed and secured your Global Transit Network, are you done? Are you ready to hand day-to-day responsibility over to an operations team? Or, are there other elements you need to ensure that the day-to-day operation of your transit hub is efficient and effective? As part of our fact-filled AWS Bootcamp series, Aviatrix CTO Sherry Wei and Neel Kamal, head of field operations at Aviatrix, demonstrate the best practices they've gleaned from working with operations teams, all who require: Visibility: Do you have a way to centrally view your network, see performance bottlenecks, control security policies, and set other configuration details? Deep Analytics: Can you easily gather performance and audit data and export it to Splunk, DataDog, or other advanced reporting tools? Monitoring and Troubleshooting: Do you have a real-time view of network health, and how easily can you access the data needed to locate and fix issues? Alert Management: When issues do occur, what r
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aws, aws vpc, aws global transit network, aws transit vpc, cisco csr, csr 1000v
    
Aviatrix
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