production planning

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Published By: CA Technologies     Published Date: Sep 13, 2017
"Explore survey results on the readiness of organizations to meet the compliance needs of the GDPR. Given the GDPR is set to have wide-ranging implications for the type of data that can be used in non-production environments, CA Technologies wanted in particular to understand how companies are planning for the GDPR and what processes and technology is needed to help them. Explore the results of a survey to understand the readiness of organizations to meet the compliance needs of the GDPR."
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CA Technologies
Published By: Attunity     Published Date: Nov 15, 2018
Change data capture (CDC) technology can modernize your data and analytics environment with scalable, efficient and real-time data replication that does not impact production systems. To realize these benefits, enterprises need to understand how this critical technology works, why it’s needed, and what their Fortune 500 peers have learned from their CDC implementations. This book serves as a practical guide for enterprise architects, data managers and CIOs as they enable modern data lake, streaming and cloud architectures with CDC. Read this book to understand: ? The rise of data lake, streaming and cloud platforms ? How CDC works and enables these architectures ? Case studies of leading-edge enterprises ? Planning and implementation approaches
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optimize customer service
    
Attunity
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
In this paper, you will find the results of a survey commissioned by CA Technologies to understand the readiness of organizations to meet the compliance needs of the GDPR. Given the GDPR is set to have wide-ranging implications for the type of data that can be used in non-production environments, CA Technologies wanted in particular to understand how companies are planning for the GDPR and what processes and technology is needed to help them.
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research scope, gdpr, business, compliance, technological challenges, customer data, investment, pseudonymization
    
CA Technologies EMEA
Published By: FICO     Published Date: Mar 02, 2018
Global organizations such as Nestle?, Shell and others retain their leadership by solving their toughest challenges with advanced optimization. Manufacturers are seeking ways to apply advanced analytics and optimization through the entire planning and production lifecycle. This can help you achieve: Improved profitability, reliability and revenue by 10% or more Deploy a new planning solution in as little as 3 months Compute ready-to-implement plans for complex tasks within minutes Reduce your dependence on IT and rapidly evolve solutions Leverage industry-leading analytics and optimization and innovative modeling methodologies Monetise your existing analytic, ERP and other solutions, accelerate growth and reduce costs Learn How Three Manufacturers Are Using Optimization to Revolutionize Manufacturing
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manufactures, optimization, production, lifecycle, production, business, analytics
    
FICO
Published By: Zebra     Published Date: Jul 10, 2014
Digital voices are everywhere in a digital factory. In this brief, we’ll elaborate on the technology tools digital factories use for three common functions: asset management, production planning and materials replenishment.
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zebra, digital factories, asset management, production planning, material replenishment, embedded sensors, software, wireless, cloud, data management, data center
    
Zebra
Published By: Oracle Primavera     Published Date: Oct 09, 2015
Enterprise project portfolio management (EPPM) is mission critical to the oil and gas industry, which is driven by billions of dollars in capital investments. These large-scale exploration and production projects, if they fail, have an impact on the company and their share price. EPPM provides that full end-to-end capability to support the capital asset lifecycle – from planning, building & construction, operation & maintenance, to decommissioning. Read seven quick wins to lower costs and discover how to accelerate revenue.
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oracle, eppm, capital asset, capital asset lifecycle, project management, portfolio management, capital projects, strategic planning, decommissioning
    
Oracle Primavera
Published By: MapR Technologies     Published Date: Jan 08, 2014
Forrester Research shares seven architectural qualities for evaluating Big Data production platforms. In this webinar guest speaker Mike Gualtieri, Principal Analyst at Forrester, along with experts from MapR and Cisco, will present the following: • The 7 architectural qualities for productionizing Hadoop successfully • Architectural best practices for Big Data applications • The benefits of planning for scale • How Cisco IT is using best practices for their Big Data applications Speakers • Mike Gualtieri, Principal Analyst at Forrester Research • Jack Norris, Chief Marketing Officer at MapR Technologies • Andrew Blaisdell, Product Marketing Manager at Cisco • Sudharshan Seerapu, IT Engineer at Cisco
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big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata, analytics, mapreduce, data, data center, mapr
    
MapR Technologies
Published By: InsideView     Published Date: Apr 27, 2015
Advances in automation increase visibility and accountability surrounding lead-to-revenue processes. Despite this, tensions between marketing and sales persist concerning the quality of support that marketing brings to the revenue-production equation. To progress from open hostilities to collaborative détente, CMOs will need to reimagine sales enablement programs and strategy around the journey that spans the customer’s lifetime. This means creating a more interdependent relationship with sales that puts the customer at the center of the conversations that marketing and sales create, talks more about the problems and issues that buyers face, and aligns lead-to-revenue planning and processes around outcome-focused goals.
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b2b, lead-to-revenue processes, customer success management, marketing-led communication, buyer's context
    
InsideView
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