cambridge

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Published By: Cambridge Semantics     Published Date: Mar 13, 2015
As the quantity and diversity of relevant data grows within and outside the enterprise, how can IT easily deploy secure governed solutions that allow business users to identify, extract, link together and derive value from the right data at the right time, at big data scale, while keeping up with ever changing business needs? Smart Enterprise Data Management (Smart EDM) is new, sensible paradigm for managing enterprise data. Anzo Smart Data solutions allow IT departments and their business users to quickly and flexibly access all of their diverse data. Based upon graph data models and Semantic data standards, Anzo enables users to easily perform advanced data management and analytics through the lens of their business at a fraction of the time and cost of traditional approaches, while adhering to the governance and security required by enterprise IT groups. Download this whitepaper to learn more.
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enterprise data management, data governance, data integration, cambridge semantics
    
Cambridge Semantics
Published By: Cambridge Semantics     Published Date: Aug 17, 2015
As the quantity and diversity of relevant data grows within and outside of the enterprise, business users and IT are struggling to extract maximum value from this data. Current approaches, including the rigid relational data warehouse and the unwieldy Hadoop-only Data Lake, are limited in their ability to provide users and IT with the answers they need with the proper governance and security required. Read this whitepaper to learn how The Anzo Smart Data Lake from Cambridge Semantics solves these problems by disrupting the way IT and business alike manage and analyze data at enterprise scale with unprecedented flexibility, insight and speed.
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Cambridge Semantics
Published By: Cambridge Semantics     Published Date: May 11, 2016
With the explosive growth of Big Data, IT professionals find their time and resources squeezed between managing increasingly large and diverse siloed data stores and increased user demands for timely, accurate data. The graph-based ANZO Smart Data Manager is built to relieve these burdens by automating the process of managing, cataloging and governing data at enterprise scale and security. Anzo Smart Data Manager allows companies to truly understand their data ecosystems and leverage the metadata within it.
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Cambridge Semantics
Published By: Cambridge Semantics     Published Date: Apr 03, 2014
A new approach to rapid, high-quality data integration, data services, and data governance.
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white paper, data, data mangement, enterprise information management, cambridge semantics, semantic technology
    
Cambridge Semantics
Published By: Aerohive     Published Date: May 13, 2015
This case study explores the new challenges of WLAN Network and reveals the advantages of using Aerohive Wi-Fi solution.
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wi-fi, wi-fi solutions, aerohive, wlan, wlan network, wlan network challenges, wi-fi, aerohive solutions, mobility, mobile devices, mobile, wireless, wi-fi solutions, connectivity, education, students using devices
    
Aerohive
Published By: Jebbit     Published Date: Jun 12, 2018
How can you strike the right balance? It’s paradoxical...and annoying. Our consumers want personalized, tailored experiences, but they hold their data cards close to the chest. After Cambridge Analytica, data breaches, and creepy advertising practices, the only way forward is to build (and maintain) trust with your audience. Download this new report to learn: How did we get here? With so much data at our fingertips, what went wrong? How do consumers feel about personalization in 2018? How to get ahead and stay ahead. What data to keep, and what to throw out.
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privacy, paradox, consumer, data, marketers
    
Jebbit
Published By: AWS     Published Date: Nov 26, 2018
How Cambridge University Press Automates SAP Workloads on AWS Abstract: In this webinar, Lemongrass will demonstrate the business opportunities presented by automating SAP workloads on AWS. They will also show you how they helped Cambridge University Press achieve the first stage of automation and the benefits that it’s delivering for them.
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cambridge, university, press, automation, sap, workloads
    
AWS
Published By: CrowdTwist     Published Date: Jul 25, 2018
Over the last decade customer-brand relationships have become more and more digitized. Companies have enjoyed access to new technologies, new capabilities, and greater access to customer data. In turn, consumers have become better informed and able to connect with brands with greater flexibility and convenience. However, concerns around mismanagement of customer data, the proliferation of fake news, high profile retailer database breaches, and the Cambridge Analytica scandal has contributed to an erosion of trust between consumers and brands and demands for data privacy. What can brands do to overcome consumer skepticism? What keeps a customer coming back in 2018? And what can brands do to demonstrate relevancy and provide value?
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customer, branding, relationships, consumer, database
    
CrowdTwist
Published By: IBM     Published Date: Apr 18, 2017
There are myriad software products, from complete CRM platforms that offer analytics to standalone or add-on software products that focus solely on analytics. There are analytics apps that can be added to your existing CRM platform. Or there’s the option to outsource analytics to a growing number of service providers. “The technologies are changing rapidly. There are a zillion startups offering either new tools or technologies, so it is kind of hard to navigate,”Mike Gualtieri, an analystfor Forrester Research Inc. in Cambridge, Mass., said in a recent webcast on analytics. “There isn’t just one platform that you’re going to need. There’s a whole ecosystem of platforms.” Having the right people on staff who know how to use the technology is equally important, analysts say. Analytics aren’t just for statisticians anymore—they’re used by sales, marketing and customer service teams in daily decision making.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
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