data transformation

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Published By: McAfee     Published Date: Mar 31, 2017
The software-defined data center (SDDC) holds tremendous promise forenterprise IT. Within the SDDC, the benefits of server virtualization areextended to storage and networking, so the entire infrastructure can beabstracted and centrally managed under a unified platform. IT teams areable to leverage unprecedented levels of virtualization, orchestration, andautomation to achieve the services-based delivery model that enables truedigital transformation.
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data center, networking
    
McAfee
Published By: McAfee     Published Date: Mar 31, 2017
The software-defined data center (SDDC) holds tremendous promise for enterprise IT. Within the SDDC, the benefits of server virtualization are extended to storage and networking, so the entire infrastructure can be abstracted and centrally managed under a unified platform. IT teams are able to leverage unprecedented levels of virtualization, orchestration, and automation to achieve the services-based delivery model that enables true digital transformation.
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data center, networking
    
McAfee
Published By: Informatica     Published Date: Aug 21, 2017
Download this white paper today to understand How patients are stepping up and using data to disrupt the traditional doctor-patient relationships.
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informatica, data management, cloud data management, collaboration, analytics, digital healthcare, electronic health records, cloud computing
    
Informatica
Published By: Cisco and NVIDIA Corporation     Published Date: Apr 03, 2018
These are interesting and challenging times to be in business. Digital forces, such as the cloud, big data, mobility, and mobile apps, are disrupting tried-and-true business models, as well as entire industries. These transformational advances are producing complexity, while workers are demanding simplicity. They require centralized infrastructures to keep information safe, even as agility and flexibility rule the day.
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Cisco and NVIDIA Corporation
Published By: Adverity     Published Date: Jun 15, 2018
Master Your Client's Data To Build An Advertising Agency For The Future This is the first part of our ebook Strategic Playbook For Data-driven Advertising Agencies. In this instalment we cover how agency executives can benefit from their client's data to maintain a sustainable, future-proof business in times of digital transformation. Scaling your business with Marketing Intelligence Building a data strategy to stay ahead of the curve Mastering the end-to-end data management process Once you decide to master your data, you will be rewarded with deep, meaningful insights and happy long-term clients that get the most out of their data. We know it’s worth it! Signup and download the 28-page pdf-document to understand how data will secure your spot in the future advertising industry.
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marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics, marketing reports, roi reporting, reporting generator, automated reporting tool, marketing dashboard, marketing data, marketing intelligence, report software, marketing reporting, marketing metrics, performance marketing, marketing performance
    
Adverity
Published By: SAP     Published Date: Jun 23, 2009
Discover the importance of data integration in your environment, and learn about the key challenges, benefits, and approaches to integrating data.
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business intelligence, data integration, sap, businessobjects, data warehousing, sarbanes-oxley, data consolidation, data marts, enterprise information integration, eii, enterprise-class, operational data stores, operational systems, master data management, mdm, data transformations
    
SAP
Published By: SAP     Published Date: Feb 21, 2008
Many significant business initiatives and large IT projects depend upon a successful data migration. Your goal is to minimize as much risk as possible through effective planning and scoping. This paper will provide insight into what issues are unique to data migration projects and offer advice on how to best approach them.
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sap, data architect, data migration, business objects, information management software, bloor, sap r/3, application, enterprise applications, data quality management, master data management, mdm, extraction, transformation load, etl
    
SAP
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
LinuxONE from IBM is an example of a secure data-serving infrastructure platform that is designed to meet the requirements of current-gen as well as next-gen apps. IBM LinuxONE is ideal for firms that want the following: ? Extreme security: Firms that put data privacy and regulatory concerns at the top of their requirements list will find that LinuxONE comes built in with best-in-class security features such as EAL5+ isolation, crypto key protection, and a Secure Service Container framework. ? Uncompromised data-serving capabilities: LinuxONE is designed for structured and unstructured data consolidation and optimized for running modern relational and nonrelational databases. Firms can gain deep and timely insights from a "single source of truth." ? Unique balanced system architecture: The nondegrading performance and scaling capabilities of LinuxONE — thanks to a unique shared memory and vertical scale architecture — make it suitable for workloads such as databases and systems of reco
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Group M_IBM Q418
Published By: SAS     Published Date: Mar 06, 2018
The most recent decade has seen rapid advances in connectivity, mobility, analytics, scalability, and data, spawning what has been called the fourth industrial revolution, or Industry 4.0. This fourth industrial revolution has digitalized operations and resulted in transformations in manufacturing efficiency, supply chain performance, product innovation, and in some cases enabled entirely new business models. This transformation should be top of mind for quality leaders, as quality improvement and monitoring are among the top use cases for Industry 4.0. Quality 4.0 is closely aligning quality management with Industry 4.0 to enable enterprise efficiencies, performance, innovation and business models. However, much of the market isn’t focusing on Quality 4.0, since many quality teams are still trying to solve yesterday’s problems: inefficiency caused by fragmented systems, manual metrics calculations, quality teams independently performing quality work with minimal cross-functional own
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SAS
Published By: Evergreen Systems, Inc.     Published Date: Dec 16, 2008
This comprehensive white paper applies automation and ITIL best practices to the data center and reviews current industry trends, server automation energy usage issues and a variety of optimization strategies for data center improvement.  The effects of virtualization are explored in-depth.  Includes detailed sections on increasing operational efficiency using workflow analysis, automating and optimizing server change management, reducing infrastructure complexity and developing security, disaster recovery and business continuity procedures.  Step by step instructions for developing metrics and a business case to justify data center and server automation are included.
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evergreen system, data center automation, data center automation manager, network automation, server automation, server virtualization, itil, data center optimization, roi, server management, data storage, server storage
    
Evergreen Systems, Inc.
Published By: SAS     Published Date: Apr 13, 2011
This paper will outline the value and methods involved in data mining across both quantitative and qualitative data. In addition, it will describe the data transformations necessary before doing such work, and the tools that are particularly valuable for mining mixed data types.
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business intelligence, michael lock, predictive analytics, business insight, business visibility, small to medium sized business
    
SAS
Published By: Adobe     Published Date: May 15, 2014
66% of marketers don’t think their companies will succeed unless they have a digital marketing approach. We believe they're right. Marketing in a Digital World follows the results of four companies as they implement their digital marketing transformations. Along the way, you'll learn five steps that every organization should take to revolutionize their marketing and see how Adobe plays a key part in their success.
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adobe, psg, digital marketing, customer experience, marketing, customer engagement, big data, digital transformation
    
Adobe
Published By: Group M_IBM Q2'19     Published Date: Jun 10, 2019
In the era of individual-centered economy, customers are demanding faster, more personalized services. To deliver these services, successful organizations realize the benefits of accurate and trusted master data. And in today's always on society, companies can no longer afford to allow downtime for maintenance and scheduled upgrades for these services and the supporting applications. With low latency capabilities in IBM InfoSphere Master Data Management designed to easily connect to applications in a zero-downtime environment, the highest demands for user interactions can now be realized. As a result, businesses can therefore take the next step in their digital transformation initiatives to truly drive personalized differentiated customer experiences to separate themselves in today's crowded marketplace. View this webinar to discover how IBM MDM puts these capabilities within easy reach. The webinar will: Reveal how these capabilities are being delivered on-premise and on t
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Group M_IBM Q2'19
Published By: IBM MaaS360     Published Date: Jul 09, 2015
Mobile productivity necessitates instant and easy access to retrieve, edit, share and send corporate data from anywhere. In this paper we’ll explore the rapid workplace productivity transformation of securing enterprise content so employees can use smartphones and tablets to run all business from the palms of their hands.
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mobile content management, mobile productivity, corporate data, access, workplace productivity, smartphones, tablets
    
IBM MaaS360
Published By: IBM     Published Date: Apr 09, 2015
As The Business Becomes Digital, Security Must Become Data-Centric S&R leaders of enterprises undergoing a digital transformation will soon realize that in order to adequately ensure customer protection and enable a digital workforce, S&R pros must abandon traditional perimeter-based security and put the focus on the data by embracing Forrester’s Zero Trust Model.
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data security, ibm, customer protection, digital workforce, zero trust model
    
IBM
Published By: IBM     Published Date: Oct 06, 2015
An IBM white paper describing the infrastructure implications of today’s converging technology forces and the software defined, next-generation data center transformation vital to capitalizing on them.
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ibm, cloud, analytics, mobile, social, security, infrastructure, data center, data center transformation
    
IBM
Published By: IBM     Published Date: Oct 06, 2015
An IBM infographic highlighting the infrastructure implications of today’s converging technology forces and the software defined, data center transformation essential to capitalizing on them.
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ibm, data center, software defined data center, data center transformation
    
IBM
Published By: IBM     Published Date: Feb 26, 2016
An IBM white paper describing the infrastructure implications of today’s converging technology forces and the software defined, next-generation data center transformation vital to capitalizing on them.
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data center, cloud computing, analytcs, mobile, social, cyber security, ibm
    
IBM
Published By: IBM     Published Date: Oct 11, 2016
Your organization lives and breathes data, but that data needs to be transformed between different formats as you do business, share files, transmit data and make transactions. Watch this video for a short introduction on how IBM Transformation Extender can help.
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ibm, commerce, b2b integration, ibm transformation extender, transformation solution
    
IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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Group M_IBM Q418
Published By: Cisco     Published Date: Jul 11, 2016
CTOs, CIOs, and application architects need access to datacenter facilities capable of handling the broad range of content serving, Big Data/analytics, and archiving functions associated with the systems of engagement and insight that they depend upon to better service customers and enhance business outcomes. They need to enhance their existing datacenters, they need to accelerate the building of new datacenters in new geographies, and they need to take greater advantage of advanced, sophisticated datacenters designed, built, and operated by service providers. IDC terms this business and datacenter transformation the shift to the 3rd Platform.
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Cisco
Published By: IBM     Published Date: Jun 21, 2017
NoSQL databases and Apache Spark are a potent combination for rapid integration, transformation and analysis of all kinds of business data. With its data syncing and analytics capabilities, IBM Cloudant offers unique advantages as a NoSQL database for many Spark use cases. IT decision-makers, data scientists and developers need to know how and when to apply these technologies most effectively. IBM can offer a host of resources and tools to help your organization gain value from Cloudant and Spark quickly, and with minimal up-front investment.
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ibm, ibm cloudant, apache spark, nosql, database
    
IBM
Published By: SAS     Published Date: Aug 13, 2018
You may know some data management basics, but are you aware of the transformational results that can result from doing data management right? This paper explains core data management capabilities, then describes how a solid data management foundation can help you get more out of your data. Fraudsters are only becoming smarter. How is your organization keeping pace and staying ahead of fraud schemes and regulatory mandates to monitor for them? In this e-book, learn the basics in how to prevent fraud, achieve compliance and preserve security.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
You may know some basics about data management, but do you realize the transformational results data-management-done-right can produce? This paper explains core data management capabilities, then describes how a solid data management foundation can help you get more out of your data. From getting fast, easy access to trustworthy data to making better decisions and becoming a data-driven business, you’ll learn why good data management is essential to success. Multiple real-world examples illustrate how SAS customers have used data management to improve customer experience, boost revenue, remain compliant and become more efficient.
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SAS
Published By: SAS     Published Date: Jul 22, 2019
Text is the largest human-generated data source. It grows every day as we post on social media, interact with chatbots and digital assistants, send emails, conduct business online, generate reports and essentially document our daily thoughts and activities using computers and mobile devices. Increasingly, organizations want to know how all of that data can be used to drive improvements. For many, unstructured text represents a massive untapped data source with great potential for producing valuable insights that could result in significant business transformations or spur incredible social innovation. This paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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SAS
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