big data data optim

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Published By: Dell EMC     Published Date: Nov 09, 2015
While the EDW plays an all-important role in the effort to leverage big data to drive business value, it is not without its challenges. In particular, the typical EDW is being pushed to its limits by the volume, velocity and variety of data. Download this whitepaper and see how the Dell™ | Cloudera™ | Syncsort™ Data Warehouse Optimization – ETL Offload Reference Architecture can help.
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Dell EMC
Published By: IBM     Published Date: Oct 13, 2011
This whitepaper from IBM reveals three ways that the most successful companies are taking action when they deploy business analytics.
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ibm, big data, analytics, knowledge discovery, data mining, business analytics and optimization, bao, business analytics, insight
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
IBM commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study and examine the potential return on investment (ROI) enterprises may realize by leveraging IBM InfoSphere Information Integration and Governance (IIG) solutions.
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ibm, total economic impact, tei study, roi, return on investment, big data data optim, ibm infosphere, data management
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
While the term 'big data' has only recently come into vogue, IBM has designed solutions capable of handling very large quantities of data for decades. IBM InfoSphere Information Server is designed to help organizations understand, cleanse, monitor, transform and deliver data.
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ibm, ibm infosphere, big data, data optim, data management
    
IBM
Published By: IBM     Published Date: Jul 06, 2016
IBM commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study and examine the potential return on investment (ROI) enterprises may realize by leveraging IBM InfoSphere Information Integration and Governance (IIG) solutions.
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ibm, total economic impact, tei study, roi, return on investment, big data data optim, ibm infosphere, data management, data center
    
IBM
Published By: IBM     Published Date: Jul 06, 2016
While the term 'big data' has only recently come into vogue, IBM has designed solutions capable of handling very large quantities of data for decades. IBM InfoSphere Information Server is designed to help organizations understand, cleanse, monitor, transform and deliver data.
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ibm, ibm infosphere, big data, data optim, data management, data center
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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IBM
Published By: IBM APAC     Published Date: Aug 25, 2017
Transitioning from traditional IT to cloud IT is not an all-at-once, big bang effort. Rather, the cloud adoption process should be an agile, incremental process. And the first part of that process is understanding the different cloud models. Contrary to popular belief, cloud isn’t necessarily only public cloud, multi-tenant, and hosted in a vendor’s data center. It can also be private cloud, single-tenant, and/or hosted in a corporate data center. Often the best solution is a hybrid combination of these options. This paper will show you the advantages of hybrid cloud applications and explore the considerations you should make to find an optimal solution for your organization.
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cost reduction, cost optimization, business agility, innovation, business models
    
IBM APAC
Published By: Amazon Web Services     Published Date: Apr 16, 2018
Since SAP introduced its in-memory database, SAP HANA, customers have significantly accelerated everything from their core business operations to big data analytics. But capitalizing on SAP HANA’s full potential requires computational power and memory capacity beyond the capabilities of many existing data center platforms. To ensure that deployments in the AWS Cloud could meet the most stringent SAP HANA demands, AWS collaborated with SAP and Intel to deliver the Amazon EC2 X1 and X1e instances, part of the Amazon EC2 Memory-Optimized instance family. With four Intel® Xeon® E7 8880 v3 processors (which can power 128 virtual CPUs), X1 offers more memory than any other SAP-certified cloud native instance available today.
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Amazon Web Services
Published By: SAS     Published Date: Apr 16, 2015
Big data has made quite an impression on organizations embarking on data journeys, hoping to glean valuable insights ranging from process optimization to customer-facing improvements. This research paper explores proven best practices that can help organizations overcome obstacles to deliver on big data potential.
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SAS
Published By: Tealium     Published Date: Mar 12, 2014
In this paper, Web Analytics Demystified presents an approach towards big data that has the potential to simplify the quest for “whole customer” data and improve your company’s odds of success.
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tealium, big data, data analytics, business analytics, information technology, data distribution, tag management systems, marketing, marketing optimization, web analytics, business technology
    
Tealium
Published By: Adverity     Published Date: Jun 15, 2018
In this whitepaper, we take a closer look at some of the biggest challenges facing e-commerce businesses, namely understanding your data in general and, more precisely, your customer acquisition costs (CAC). It's full of inspiration, useful tips and actionable insights for you to step up your marketing game. In order to reap the fruits from your data seeds, you have to make sure you tackle these five challenges full-frontal: Knowing what data to capture Understanding customer behaviour Finding your technology solution Ensuring analysis is impartial Optimising website content - especially for your offline users
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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: Silver-Peak     Published Date: Mar 21, 2012
Cloud architectures. Remote access to big data. Application performance in an increasingly networked world. A renewed focus on DR/BC based on instant replication between multiple data centers. All are driving a need for more flexible WAN optimization that can be cost effectively deployed across both private and public networks.
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wan, optimization, data management, data center, silver peak, technology, network, network management
    
Silver-Peak
Published By: IBM     Published Date: Aug 06, 2014
With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. When consumers interact with retailers publicly through social media, they have greater power to influence other customers or damage a brand. These and other changes in the retail industry are creating important opportunities for retailers. But to capitalize on those opportunities, retailers need ways to collect, manage and analyze a tremendous volume, variety and velocity of data. If retailers succeed in addressing the challenges of “big data,” they can use this data to generate valuable insights for personalizing marketing and improving the effectiveness of marketing campaigns, optimizing assortment and merchandising decisions, and removing inefficiencies in distribution and operations.
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ibm, retail, data, big data, power, stores, interact, social media
    
IBM
Published By: IBM     Published Date: Oct 31, 2013
Improve customer satisfaction, identify trends and make smarter marketing decisions with IBM Social Media Analytics.
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social media, big data, data-driven marketing, marketing analytics, performance analytics, business analytics, metrics, data, driver-based campaign, campaign optimization, marketing campaign, analytics software, customer experience, c-suite, customer relationship management, crm, facebook, twitter
    
IBM
Published By: IBM     Published Date: Mar 20, 2014
IBM SmartCloud Workload Automation is a sophisticated, cloud-enabled solution that unifies disparate applications and business processes to help organizations achieve superior efficiency and availability while leveraging the flexibility and scalability of cloud computing.
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ibm, ibm software, optimize workloads, the cloud, cloud computing, big data, data management, data center, workload automation, automation solutions, boost visibility, automate processes, it organizations, smart computing, change management, workload management, ease management, optimize processes
    
IBM
Published By: Basho     Published Date: Apr 13, 2015
Today’s consumers expect instant access to communications services whether they’re in the office, at home, or on the road. With data speeds increasing and international roaming costs decreasing, data usage is rapidly growing. Telecommunications Service Providers (TSPs) are under pressure to deliver more services to more people and approach 100% uptime all while lowering prices to consumers. Traditional relational databases can’t meet the requirements for massive scalability, availability, and fault tolerance that the rapid growth in data usage and rise of big data demands. Read this solution brief to learn how Riak excels at these. Riak is a distributed NoSQL database optimized for big data. Riak meets many of the challenges you may be facing with your own service operations systems.
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riak, basho, telecommunications service provider, license fees, scalability, availability, data usage, big data, service operations system, networking, security, it management, wireless, data management
    
Basho
Published By: IBM     Published Date: Oct 31, 2014
Cloud computing, mobility, social technology, DevOps, embedded intelligence, and big data bring complexity to the datacenter. To cope, IT leaders are turning to new IT service management tools to help them analyze and optimize their on-premises, cloud, and hybrid operations while accelerating their pace of innovation.
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it delivery, smarter it, social technology, devops
    
IBM
Published By: IBM     Published Date: Nov 13, 2014
This paper focuses on the benefits of a queryable data store and big data technologies available to support data warehouse modernization. Read the paper to understand how data can be stored and optimized with Hadoop.
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ibm, ibm infosphere, big data, hadoop, big sql, data warehousing
    
IBM
Published By: IBM     Published Date: Dec 18, 2013
Learn about 3 optimizations of IBM PureData System for Transactions that can help your organization meet today's big data challenges.
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ibm, ibm puredata for transactions, data, big data, data center, data management, optimization, integration, software, automation, it management, enterprise applications
    
IBM
Published By: Rocket Fuel     Published Date: Mar 04, 2015
Remember back in the day when digital advertising was simple to understand? Like popping open the hood of a 1972 Ford, all the parts were simple and visible, and how they fit together was intuitive. It made sense. Now? Piecing together the modern digital advertising ecosystem is like trying to assemble a spaceship in your living room. But as Rocket Fuel Director of Artificial Intelligence Michael Benisch explains in our latest whitepaper, using advanced systems to buy media programmatically doesn't have to be overwhelming. Michael will take you "under the hood" of programmatic buying and walk you through the process of how and why a consumer sees the ads they see. Download the whitepaper and pop open the hood before choosing a programmatic partner.
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programmatic, programmatic partner, digital advertising, programmatic advertising, online advertising, ad platform, digital marketing, ad network, media buying, real-time bidding, digital media buys, big data, artificial intelligence, programmatic media buying, always-on marketing, dsp, big data marketing, optimize advertising performance, fixed-price bid models, marketing roi
    
Rocket Fuel
Published By: Pentaho     Published Date: Jan 16, 2015
If you’re considering a big data project, this whitepaper provides an overview of current common use cases for big data, from entry-level to more complex. You’ll get an in-depth look at some of the most common, including data warehouse optimization, streamlined data refinery, monetizing your data, and getting a 360 degree view of your customer. For each, you’ll discover why companies are investing in them, what the projects look like, and key project considerations, including tools and platforms.
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big data, nosql, hadoop, data integration, data delivery, data management, data center
    
Pentaho
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