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Results 301 - 325 of 2174Sort Results By: Published Date | Title | Company Name
Published By: Phunware     Published Date: Jul 30, 2014
Retailers and Marketers have not yet begun to take total advantage of the newest technologies to leverage bid data and mobile. Download this whitepaper for the key best practices that will allow mobile marketers to utilize these technologies and capture a larger market share.
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phunware, best practices ibeacon, big data ibeacon, push notifications
    
Phunware
Published By: Oracle     Published Date: Dec 13, 2011
One of the biggest dangers in establishing best practices for your contact center is to do so in isolation from your self-service stakeholders.
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best practices, customer, crm, contact center, face-to-face, performance indicators
    
Oracle
Published By: Oracle     Published Date: Apr 05, 2013
One of the biggest dangers in establishing best practices for your contact center is to do so in isolation from your self-service stakeholders. Instead, all customer "touch-points" must be viewed as part of a continuum. Customer touch points include Web Self-Service, Interactive Voice Response, Contact Center Agents, and Face-to-Face transactions. By tracking the interplay between these, you can more easily identify meaningful key performance indicators.
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contact center, oracle, call center, touch point methodology, face to face, contact center agents
    
Oracle
Published By: GoodData     Published Date: Sep 17, 2013
In most cases, starting a BI initiative that’s not clearly linked to specific KPIs or business goals or aimed at addressing a specific pain point is sowing the seeds of eventual project failure. This is why it’s crucial to have the processes and mechanisms in place to establish what the desired outcome would be and to start from there.
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gooddata, business intelligence, data. better data, bigger ideas, it management
    
GoodData
Published By: IBM     Published Date: Nov 07, 2016
Is your software defined infrastructure (SDI) for high performance computing (HPC) and big data analytics meeting the needs of your growing business? Would you like to know how to justify the switching cost from unsupported open source software to a commercial grade SDI that ensures your resources are more effectively used cutting down time to market? This webcast will give you an overview of the true costs of building out and managing a HPC or Big Data environment and how commercial grade SDI software from IBM can provide a significant return on investment.
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ibm, platform computing, software defined infrastructure, enterprise applications
    
IBM
Published By: SevOne     Published Date: Jul 07, 2015
Because inventory is usually one of the biggest numbers on their balance sheet, effective inventory control and management is a vital function to help insure the continued success of distribution and manufacturing and companies.
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erp, inventory management, big data, manufacturing, distribution
    
SevOne
Published By: Sage     Published Date: Jul 08, 2015
Download this white paper to learn more about how to improve your organization's inventory management and control.
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inventory management, big data, inventory control, cost containment, customer service
    
Sage
Published By: HP - Enterprise     Published Date: Jun 04, 2013
Businesses are overwhelmed with data; it’s a blessing and a curse. A curse because it can overwhelm traditional approaches to storing and processing it. A blessing because the data promises business insight that never existed earlier. The industry has spawned a new term, “big data,” to describe it. Now, IT itself is overwhelmed with its own big data. In the press to roll out new services and technologies—mobility, cloud, virtualization—applications, networks, and physical and virtual servers grow in a sprawl. With them comes an unprecedented volume of data such as logs, events, and flows. It takes too much time and resources to sift through it, so most of it lies unexplored and unexploited. Yet like business data, it contains insight that can help us solve problems, make decisions, and plan for the future.
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data research, big data, virtualization, applications, networks
    
HP - Enterprise
Published By: MarkLogic     Published Date: Nov 08, 2016
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Download now to learn more.
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MarkLogic
Published By: MarkLogic     Published Date: Jun 09, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic
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MarkLogic
Published By: MarkLogic     Published Date: Nov 07, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic.
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MarkLogic
Published By: MarkLogic     Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to: - Make the world more secure - Provide access to valuable information - Create new revenue streams - Gain insights to increase market share - Reduce b
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enterprise, nosql, relational, databases, data storage, management system, application, scalable, enterprise applications
    
MarkLogic
Published By: Act-On     Published Date: Jan 07, 2016
Go beyond just sales and marketing alignment and include customer success to build a winning Team Trifecta that will allow you, and your company, to make the most of the opportunity that is — literally — sitting right under your noses. In this eBook, we’ll show you how to build your own successful Team Trifecta and imagine what is possible with an approach that yields comprehensive results across every stage of the customer lifecycle. You’ll learn how to deliver dramatic improvements from small investments that generate big returns – such as customer retention.
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customer success, productivity, team trifecta, customer lifecycle
    
Act-On
Published By: BMC ASEAN     Published Date: Dec 18, 2018
The world runs on IT operations. When new digital experiences delight customers, innovative business models disrupt industries, and big data makes organizations smarter than ever, it’s because of your success in supporting the complex, dynamic infrastructure and apps that power them.
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BMC ASEAN
Published By: CDW     Published Date: Jul 11, 2013
BI and Big Data: A Dark Territory
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cwd, cdw blog, business intelligence, big data, security
    
CDW
Published By: IBM     Published Date: Jul 24, 2008
Tune into this TDWI Radio News interview, with Eric Kavanagh, to hear Karen Parrish, vice president of business intelligence solutions for IBM, as she explains Big Blue's take on the evolving industry of data warehouse appliances.
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IBM
Published By: IBM     Published Date: Feb 03, 2016
The more real-time and granular your data is, the more responsive and competitive your organization can become.
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ibm, data management, apache, hadoop, analytics
    
IBM
Published By: Cisco     Published Date: Sep 07, 2016
This white paper is a guide to the rapidly evolving fields of big data management and data science.
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Cisco
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: Data Stax     Published Date: Apr 27, 2012
This paper examines the growing prevalence of big data across nearly every industry. Download this white paper to find out more!
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datastax, data stax, enterprise, big data, data management, enterprise applications
    
Data Stax
Published By: IBM     Published Date: May 07, 2013
This book brings a practitioner’s view to Big Data Analytics. Download this ebook to read a practical viewpoint into leveraging analytics for Big Data. This book also draws material from a large number of workshops and interviews with business and IT leaders. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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practical viewpoint, analytics, big data, interviews, business
    
IBM
Published By: Cask     Published Date: Feb 04, 2015
It’s time for business applications to include Big Data functionality, and it’s time for developers to get on the Big Data train. This webinar will focus on how to make that happen.
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cask, hadoop, big data, application development, big data application development
    
Cask
Published By: Infosys     Published Date: Jun 21, 2018
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Infosys
Published By: Hewlett Packard Enterprise     Published Date: Oct 24, 2017
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
Hewlett Packard Enterprise
Published By: IBM     Published Date: Jul 07, 2015
In this book you will also learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world’s fastest and most flexible platform for streaming data.
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, data center
    
IBM
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