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By: Epicor     Published Date: Jun 27, 2017
Lumber and building materials (LBM) supply businesses today are facing pressure from increased competition and the need to keep pace with digital transformation. Against this backdrop, some businesses struggle while others thrive. The difference is having people who understand what it takes to get set for growth—individuals with the vision and drive to take your business to the next level. We call these people the Grow Getters. Download our report to discover 10 characteristics that set the Grow Getters apart from their competitors in the LBM industry, like: • Investing in new technology and innovation • Focusing on the customer • Applying a positive mindset At Epicor, we have a suite of industry-specific solutions for LBM distributors, as well as an industry-leading service team to help you grow your business. Take a look at our report to see how you compare to the Grow Getters.
Tags : lumber, building materials, lbm, erp, bistrack, building materials distributors, lumber distributors, lumber manufacturers
     Epicor
By: Heroix     Published Date: Jan 23, 2013
IT managers can increase their likelihood of cloud computing success by applying some simple lessons from the past.
Tags : virtualization, cloud computing, network
     Heroix
By: Se Jones     Published Date: Nov 05, 2010
By learning and applying the tips that follow, you are much more likely to see a significant increase in leads from your website.
Tags : ppc lead generation, seo lead generation, b2b lead gen, leads from google, pay per click (ppc), search engine optimization (seo)
     Se Jones
By: Glowpoint     Published Date: Oct 07, 2015
Who is doing videoconferencing right? Get inspiration from around the world from companies who are applying videoconferencing technologies in the most clever and interesting ways.
Tags : video conferencing, voip
     Glowpoint
By: SAS     Published Date: Feb 29, 2012
This paper provides an intro to managers and marketing professionals applying analytics to marketing to significantly improve outcomes. It explains not only why you need to make this shift, but also how you get started and what tools you'll need.
Tags : sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
     SAS
By: Adobe     Published Date: Mar 03, 2017
Applying for and opening financial services accounts online is on the rise. And FSI marketers are feeling the pressure to make these new accounts higher quality. The Adobe guide, Acquisition Evolved, will give you three actionable ways to improve your ability to identify and convert high-value customers. Read the guide to learn: • The DNA of customer digital behavior • How to create unified customer segments with existing data • How to adopt onsite messaging to match offsite ads
Tags : fsi, adobe, customer behavior, customer segments, data
     Adobe
By: IBM     Published Date: Nov 06, 2014
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.
Tags : big data, data integration, analytics, customer matching, ibm
     IBM
By: IBM     Published Date: Jan 09, 2015
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.
Tags : ibm, big data, insights, infosphere, data management, dashboards, value, data matching
     IBM
By: IBM     Published Date: Apr 18, 2016
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.
Tags : ibm, mdm, big data, data management, data matching, customer analytics
     IBM
By: IBM     Published Date: Jul 06, 2016
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.
Tags : ibm, mdm, big data, data management, data matching, customer analytics
     IBM
By: IBM     Published Date: Apr 14, 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.
Tags : customer analytics, data analysis, competitive advantage, understanding your customer base
     IBM
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.
Tags : customer analytics, data matching, big data, competitive advantage, customer loyalty
     IBM
By: Cisco DWA Security     Published Date: Sep 14, 2018
NSS Labs performed an independent test of the Cisco AMP for Endpoints v6.0.5. The product was subjected to thorough testing at the NSS facility in Austin, Texas, based on the Advanced Endpoint Protection (AEP) Test Methodology v2.0, which is available at www.nsslabs.com. This test was conducted free of charge and NSS did not receive any compensation in return for Cisco’s inclusion. This report provides detailed information about this product and its security effectiveness. Additional comparative information is available at www.nsslabs.com. As part of the initial AEP test setup, products were configured in a deployment mode typical to enterprises. As such, products were configured to mimic an enterprise environment by applying typical applications such as exclusion policies and tuning requirements. All product-based configurations are reviewed, validated, and approved by NSS prior to the test. Every effort is made to ensure optimal security effectiveness, as would be the aim of a typi
Tags : 
     Cisco DWA Security
By: SAS     Published Date: Jul 02, 2012
Insights from a webinar in the Applying Business Analytics Webinar Series
Tags : kelley blue book, analytics, shawn husman, sas, enterprise analytics
     SAS
By: IBM     Published Date: Feb 04, 2015
Modern business ecosystems need to rethink their approach to innovation and integration. This book is your guide to applying the power of APIs to business challenges ranging from changing business models to embracing a world of devices and sensors.
Tags : api economy, business ecosystems, api technology platform, managing api's
     IBM
By: Group M_IBM Q418     Published Date: Oct 28, 2018
This book is your guide to applying the power of APIs to business challenges from changing business models to embracing a world of devices.
Tags : 
     Group M_IBM Q418
By: BlackBerry Cylance     Published Date: Jul 02, 2018
The information security world is rich with information. From reviewing logs to analyzing malware, information is everywhere and in vast quantities, more than the workforce can cover. Artificial intelligence (AI) is a field of study that is adept at applying intelligence to vast amounts of data and deriving meaningful results. In this book, we will cover machine learning techniques in practical situations to improve your ability to thrive in a data driven world. With clustering, we will explore grouping items and identifying anomalies. With classification, we’ll cover how to train a model to distinguish between classes of inputs. In probability, we’ll answer the question “What are the odds?” and make use of the results. With deep learning, we’ll dive into the powerful biology inspired realms of AI that power some of the most effective methods in machine learning today. Learn more about AI in this eBook.
Tags : artificial, intelligence, enterprise
     BlackBerry Cylance
By: Dun & Bradstreet     Published Date: Mar 03, 2017
Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments. By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models. View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.
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     Dun & Bradstreet
By: VMTurbo     Published Date: Mar 25, 2015
Virtualization 1.0 vs. Virtualization 2.0: Where Are You? Virtualization 1.0 is marked by the ability to virtualize, monitor, and react to problems across the environment as they occur. Ever cognizant of the performance limitations that typify higher workload densities, Virtualization 1.0 hesitates to virtualize the critical applications that would be most beneficial. Virtualization 1.0 is limited by the inherent complexities of virtualization. Virtualization 2.0 is marked by complete, proactive control over the virtual environment. Virtualization 2.0 virtualizes up to 100% of its applications, guided by an intelligent abstraction that continually drives the environment to its desired state. Virtualization 2.0 is the promise of virtualization brought to fruition.
Tags : vmturbo, virtualization, it economic model, virtual environment, it management solutions
     VMTurbo
By: VMTurbo     Published Date: Apr 11, 2013
This whitepaper describes VMTurbo’s supply chain economy approach, which uniquely addresses these requirements. VMTurbo combines monitoring, analytics and actions to enable proactive virtualization management. VMTurbo’s Observe Advise Automate model delivers intelligent and holistic visibility, analytics and automation.
Tags : economic, management, operations, virtualization, vmturbo, analytics
     VMTurbo
By: VMTurbo     Published Date: Feb 11, 2014
VMTurbo’s Observe-­-Advise-­-Automate model delivers intelligent and holistic visibility, analytics and automation.
Tags : vmturbo, virtualization, virtualizing business, business-critical, business applications, controlling interference, consolidation, virtual currency
     VMTurbo
By: IBM     Published Date: Dec 02, 2014
Across the automotive industry, organizations are using analytics to transform all aspects of their business. In the vast majority of instances, the analytics performed is on data that is already available within the organization or wider automotive ecosystem, but has not yet been tapped to use its full potential. Analytics can unlock the value held in this data, helping to answer key “what if” questions across the organization and the value chain. For example, what if dealerships could better understand their customers’ digital journey? Or what if manufacturing could improve visibility into parts, assembly and vehicle inventory?
Tags : automotive analytics, automotive ecosystem, automotive manufacturing, advanced analytics
     IBM
By: TIBCO Software     Published Date: Feb 13, 2019
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by: Identifying key requirements Showing how you can apply TIBCO® Data Virtualization to address these needs Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
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     TIBCO Software
By: TIBCO Software     Published Date: Feb 14, 2019
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by: Identifying key requirements Showing how you can apply TIBCO® Data Virtualization to address these needs Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
Tags : 
     TIBCO Software
By: IBM     Published Date: Feb 18, 2015
DevOps processes and tools help retailers compete in fast-paced mobile, digital and physical markets. See what retailers can do to deliver innovation faster. Test virtualization and deployment automation can improve front-end mobile and back-end mainframe development processes.
Tags : ibm, devops, retail industry, devops processes, test virtualization
     IBM
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