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Published By: Oracle OMC     Published Date: Nov 30, 2017
The face of retail – both online and instore – is rapidly evolving. In addition to margin pressures, resource constraints, and competitive challenges retailers face on an ongoing basis, many are struggling to keep up with the evolving demands of vocal consumers. As new channels and buying habits emerge and evolve, many retail marketers have struggled to keep up. Although many have adopted new technologies to address new channels and challenges, the rapid pace of technological change has created new challenges including: Data silos E-mail marketing overload Channel coordination and conflict These challenges, coupled with the rising cost of acquiring and managing customer data, are compounded by increasing scrutiny on marketing budgets and an expectation of being able to prove the value of every campaign in terms of increased revenues.
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Oracle OMC
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse.
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Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
IBM® InfoSphere® Big Match for Hadoop helps you analyze massive volumes of structured and unstructured customer data to gain deeper customer insights. It can enable fast, efficient linking of data from multiple sources to provide complete and accurate customer information—without the risks of moving data from source to source. The solution supports platforms running Apache Hadoop such as IBM Open Platform, IBM BigInsights, Hortonworks and Cloudera.
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hadoop, infosphere, data, customer insights
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
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database, streamlining, it infrastructure, database systems
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 16, 2018
This White Paper explores key things you should consider to protect your company's critical data.
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protection, security, guardium, critical data
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Feb 14, 2018
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization.
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gartner, magic quadrant, data science platform, machine-learning
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Mar 06, 2018
IBM’s Spectrum Protect offering boasts more than 20 years of achievement in data availability.
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ibm spectrum protect, data availability, esg, ibm
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Mar 06, 2018
Rapid data growth and inefficient data protection systems cause many organizations to spend money in ways they'd rather not. Learn 10 ways that IBM data protection solutions can help organizations modernize infrastructure and save money - freeing up funds to invest in new ideas.
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data protection systems, ibm data protection, modernize infrastructure
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Apr 13, 2018
You can’t walk out the door without being inundated with messages on cloud. Get educated and help your organization make smarter choices.
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cloud, governance, trusted data
    
IBM
Published By: IBM     Published Date: Apr 13, 2018
IBM Security Guardium helps protect your data with scalable monitoring and protection in all kinds of cloud and hybrid cloud environments.
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data protection, ibm security, guardium, hybrid cloud
    
IBM
Published By: IBM     Published Date: Apr 13, 2018
Database security protects databases against compromises of their integrity, confidentiality and availability.
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database, security, guardium, confidentiality
    
IBM
Published By: IBM     Published Date: Apr 18, 2018
Digital Reinvention in electronics
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IBM
Published By: IBM     Published Date: Jul 02, 2018
In today’s threat landscape, organizations need to consider a new security paradigm - one with data at the center.
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IBM
Published By: IBM     Published Date: Jul 05, 2018
IBM® Information Governance Catalog helps you understand your information and foster collaboration between business and IT by establishing a common business vocabulary on the front end, and managing data lineage on the back end. By leveraging the comprehensive capabilities in Information Governance Catalog, you are better able to align IT with your business goals. Information Governance Catalog helps organizations build and maintain a strong data governance and stewardship program that can turn data into trusted information. This trusted information can be leveraged in various information integration and governance projects, including big data integration, master data management (MDM), lifecycle management, and security and privacy initiatives. In addition, Information Governance Catalog allows business users to play an active role in information-centric projects and to collaborate with their IT teams without the need for technical training. This level of governance and collaboration c
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IBM
Published By: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM® Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of- impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
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IBM
Published By: IBM     Published Date: Jul 09, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: QASymphony     Published Date: Jan 08, 2018
Data. It seems to be everywhere today and yet we can never get enough of it. But as it turns out, a lack of data isn’t our problem -- our problem is the difficulty piecing together, understanding and finding the story in all the data that’s in front of us. In software testing in particular, the need for consolidated, meaningful test metrics has never been higher. As both the pace of development and the cost of delivering poor quality software increase, we need these metrics to help us test smarter, better and faster. Fortunately, business intelligence now exists to make this goal a reality. The analytics these tools provide can help drive efficient and effective testing by providing teams with insight on everything from testing quality and coverage to velocity and more. And this knowledge can position the QA team as trusted experts to advise the entire software development team on steps that can ensure a better quality end result.
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QASymphony
Published By: TE Connectivity     Published Date: Feb 07, 2018
Our free solutions guide features all of our dependable connectivity solutions for data & power. You’ll get 1. Data Communications Product Guide 2. Standard Flexible Printed Circuit (FPC) Connectors Quick Reference Guide 3. Memory Sockets Quick Reference Guide 4. Stacking Height Guide for Parallel Board-to-Board Applications 5. RF Connectors Quick Reference Guide 6. High Speed Input/Output Solutions Quick Reference Guide 7. AMPLIMITE Subminiature D Connectors Catalog 8. Soft Shell Pin & Socket Connectors Catalog
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TE Connectivity
Published By: Empyr     Published Date: Jan 09, 2018
Like many brands with a large footprint of physical store locations, this automotive retailer was having trouble connecting its online ad spend to actual in-store revenue. In order to reach online consumers, their digital marketing strategy had been buying clicks (CPC) and impressions (CPM). They realized these methods were lacking because: - They had no true gauge of what ads were working - Their ROI was often inflated by making assumptions instead of using data - It required a heavy upfront investment
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Empyr
Published By: MineralTree     Published Date: Jan 23, 2018
Automated invoice capture, approval workflows and data storage together with search and reporting features save Moda Operandi staff hours that are ordinarily wasted, especially during an audit.
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MineralTree
Published By: Tenable     Published Date: Feb 07, 2018
"This IDC Technology Spotlight examines the evolution of vulnerability management. By leveraging the cloud and new technologies that deliver greater visibility, organizations can gain an accurate picture of their assets and overall risk posture. This is a critical step toward addressing the current landscape where attackers are using a wide variety of vectors such as mobile, social, and cloud-based attacks to infiltrate organizations and steal data. By reading this report you will get an overview of: - Benefits of cloud-based security and vulnerability management - Challenges of adopting cloud-based vulnerability management - IDC assessment of Tenable.io cloud vulnerability management"
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Tenable
Published By: Dell PC Lifecycle     Published Date: Mar 09, 2018
The Dell EMC All-Flash storage solution is versatile like a swiss army knife. They have a full suite of best-of-breed products that provide organizations the flexibility to meet their data storage requirements. They allow organizations to customize and choose across best-of breed solutions to meet their needs.
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Dell PC Lifecycle
Published By: Dell PC Lifecycle     Published Date: Mar 09, 2018
Am Ende steht fest, dass das All-Flash-Speicherarray Dell EMC VMAX 250F seine Versprechen besser erfüllt als das Speicherarray HPE 3PAR 8450. Das Speicherarray VMAX 250F verarbeitete Transaktions- und Data-Mart-Ladevorgänge zeitgleich mit einer minimalen Auswirkung auf Datenbankperformance. Das ist von Vorteil, wenn Sie umfassende Backups erstellen oder große Datenmengen aus verschiedenen Quellen sammeln.
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Dell PC Lifecycle
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