operational execution

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Published By: Forcepoint     Published Date: Jun 06, 2019
As more and more companies are encouraging their employees to work from anywhere, on any device, data loss prevention (DLP) has evolved from an option to a requirement. In the past, DLP has been associated with complicated deployments and pervading operational management issues, yet DLP is not so much a product but a strategy—success depends on methodology and execution. Download the whitepaper for insightful guidance on implementing DLP. Key topics include: • Latest data-breach trends • Assessing DLP vendors • Nine-step framework • Best practices to ensure success
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
As more and more companies are encouraging their employees to work from anywhere, on any device, data loss prevention (DLP) has evolved from an option to a requirement. In the past, DLP has been associated with complicated deployments and pervading operational management issues, yet DLP is not so much a product but a strategy—success depends on methodology and execution. Download the whitepaper for insightful guidance on implementing DLP. Key topics include: • Latest data-breach trends • Assessing DLP vendors • Nine-step framework • Best practices to ensure success
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Forcepoint
Published By: DataCore     Published Date: Apr 23, 2019
In our developing digital economy, IT is a strategic asset. By effectively leveraging data, businesses become more operationally efficient, create more differentiated customer experiences, and develop new products and business models. However, unlocking those benefits requires a higher degree of execution by IT. Simply keeping pace with demand is no longer good enough; IT needs to help drive the business’s digital pursuits. The increased pressure on IT has amplified complexity, as well—66% of IT decision makers surveyed by ESG say IT is more complex than it was just two years ago.1 Demands being placed on IT are scaling relentlessly, and the tools IT teams use are in a constant state of evolution. Integrating and optimizing those new infrastructure technologies while managing existing investments is a perpetual burden. IT organizations, therefore, have two choices: either increase their personnel and budgets enough to survive the evolution with just traditional tools, or redirect those
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software defined storage, hyperconverged, storage consolidation, storage management, data migration, storage migration
    
DataCore
Published By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
It doesn’t matter whether you’re new to Oracle Retail, have an active implementation project that is running or have an existing deployment in production. The same issue applies: You are making a significant investment in the technology and need to develop a reliable and efficient batch schedule. If you’re new to Oracle Retail, you are no doubt embarking on a major project to improve your competitive position in the retail market. With that in mind, your goals will be to shrink the time-to-market for your retail implementation, lower the reliability risks associated with in-house developed solutions and improve the visibility and control of retail business processes. In this eBook you will discover a series of recommendations for operating a fail-safe and efficient Oracle Retail operational environment. You will also understand how automation enables you to streamline the execution of your Oracle Retail batch operations and increase the day-to-day efficiency of your operations teams.
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CA Technologies_Business_Automation
Published By: SAS     Published Date: Mar 14, 2014
This paper will discuss the barriers to data-driven decision making for midsized businesses, and how experts and non-experts alike can use SAS Visual Analytics to unlock the value of data – including big data – to increase revenue, cut operational costs and better manage their business.
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sas, bottom line, midsized businesses, leveraging data, data management, internal and external, decision making, big data
    
SAS
Published By: IBM     Published Date: Aug 08, 2012
IBM Analytical Decision Management revolutionizes how organizations make decisions by optimizing and automating high-volume, operational decisions at the point of impact to drive better business outcomes. In this technical white paper, learn about the architecture, deisgn and execution environments for this leading-edge technology, as well as recommendations on how to manage an implementation of this decision management solution.
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ibm, technology, optimized decision-making, analytical decision management, decision management, automation, technology, decision management solution
    
IBM
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