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systems management strategy

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By: Kaseya     Published Date: May 13, 2015
While seemingly counter intuitive, organizations can actually create IT efficiencies without having to cut service levels by adopting a systems management strategy that embraces the concept of “Discover, Manage, Automate and Validate.”
Tags : kaseya, hybrid, cloud, management, msp, mobile, big data
     Kaseya
By: Okta     Published Date: Jul 27, 2016
Most IT decision makers are struggling to master identity management in an infrastructure where modern cloud-based software must function with legacy on premise systems. According to a recent IDG Research study, 91 percent of respondents say solving this identity management conundrum is critical or very important to succeeding at their digital initiatives. And the vast majority of respondents long for a solution that is both efficient to manage and provides users and customers with an outstanding experience. This white paper examines how your peers are looking at digitizing their businesses, lowering the total cost of ownership, and building an identity management strategy to support their business’s goals.
Tags : identity, idaas, iam, identity lifecycle management, mobile, provisioning, active directory, security
     Okta
By: Kaseya     Published Date: Feb 11, 2014
Embrace a new concept and adopt these 4 steps to create IT efficiencies without having to cut service levels. This might just be the change you need.
Tags : kaseya, systems management, technology savvy, it efficiencies, systems management strategy, discovery process, mobile workers, it policies
     Kaseya
By: IBM     Published Date: May 28, 2014
The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. IBM, one of the five vendors in this evaluation, is positioned as THE leader with the most prominent, widely implemented solution in the market.
Tags : ibm, forrester, master data management, big data, database management technology, data administrators, infosphere, biginsights
     IBM
By: SAS     Published Date: Aug 28, 2018
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
Tags : 
     SAS
By: SAS     Published Date: Jan 30, 2019
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
Tags : 
     SAS
By: Optis     Published Date: Mar 07, 2013
Integrating leave and workforce data doesn’t have to be overly complicated. With the right plans, you can make the business case to implement an integrated database so you can get the people answers you need.
Tags : integrated workforce database,   implementing integrated systems,   data quality management,   value of integrated data,   people data management,   disparate people data,   analyze leave data,   employment data
     Optis
By: IBM     Published Date: May 02, 2014
Learn more about Forrester’s results, and how these organizations are realizing both economic and operational benefits with InfoSphere Optim solutions.
Tags : ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere
     IBM
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