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Published By: SAS     Published Date: Jun 06, 2018
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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SAS
Published By: SAS     Published Date: Jun 06, 2018
Some organizations focus on the scary aspects of failing to comply with the EU General Data Protection Regulation. But there are many long-term benefits of following through with plans for sustainable GDPR compliance – such as gaining a competitive edge, or developing new products or services. To learn how organizations have approached compliance efforts, SAS conducted a global survey among 183 cross-industry businesspeople involved with GDPR. Based on the results, this e-book delves into the biggest opportunities and challenges faced. Read the e-book to: • Get advice from industry experts. • Find out what steps peers have taken. • Learn how an integrated approach from SAS can continue to guide your journey.
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SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper will discuss the barriers to data-driven decision making for midsized businesses, and how experts and non-experts alike can use SAS Visual Analytics to unlock the value of data – including big data – to increase revenue, cut operational costs and better manage their business.
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sas, bottom line, midsized businesses, leveraging data, data management, internal and external, decision making, big data, operational costs, decision support, operational execution, strategic analysis, predictive analytics, data landscape, real-time data, interactivity, data democracy, visual analytics, data center
    
SAS
Published By: IBM     Published Date: Jun 07, 2012
When we talk about the world becoming increasingly interconnected, instrumented and intelligent, the most ubiquitous example is the smartphone. It collects and disseminates data while its users are at home and on the go, likely serving up just as much-if not more-dynamic, socially driven information as static, always-there web content.
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commerce, ibm, inventory, customer, cross channel, sales, retail
    
IBM
Published By: Pluris     Published Date: Mar 04, 2015
Discover the rise of the new marketing organization. Download this case study today and become informed on the growing advantage gap between data-driven and traditional marketing approaches.
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data-driven marketing, digital marketing, marketing development, marketing solutions, big data, emerging marketing, traditional marketing
    
Pluris
Published By: Rackspace     Published Date: Jan 19, 2016
Many companies want to take advantage of public cloud features, but aren’t willing to compromise on the performance, security and control that they require for their business applications and data. Public clouds have the potential to introduce performance issues caused by “noisy neighbors,” security concerns associated with placing sensitive data in a shared infrastructure environment, and a lack of control driven by the inability to customize and fine-tune cloud resources to meet the needs of a given application.
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rackspace, private cloud, enterprise, application, data, software development, data management
    
Rackspace
Published By: IBM     Published Date: Apr 13, 2015
Reducing the price of slow-selling product lines can be an effective way to drive sales and reclaim valuable selling space – but how do retailers ensure that these markdowns are profitable? Read this case study to learn how Coop Danmark replaced its complex markdown spreadsheets with Markdown Optimization solutions from IBM. Today, the company has deep insight into the optimal percentage and duration for markdowns, based on customer demand forecasts and inventory data at each retail store. This helps the company to boost sales while protecting margins.
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profitablility, ibm, markdown, optimization, marketing research, e-commerce, traditional marketing, sales
    
IBM
Published By: IBM     Published Date: May 19, 2015
An analytics-based marketing platform can help marketers tackle the opportunities and challenges of a data and consumer-driven marketplace.
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marketing analytics, analytics-based marketing platform, kpis, best practices, metrics, return on marketing investment, romi, social media, crm & customer care
    
IBM
Published By: IBM     Published Date: Sep 30, 2015
It’s one thing to buy into the current belief that data and analytics can transform business. It’s another thing to live it.
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cloud, engagement, customer retention, digital channel, data, crm & customer care
    
IBM
Published By: IBM     Published Date: Nov 25, 2014
Coop Danmark implemented IBM DemandTec Markdown Optimization – delivering insight into the right products to markdown at the best price for the optimal length of time, and helping it maximize the profitability of local price reductions.
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ibm, coop, markdown optimization solutions, smarter commerce, software development, it management, enterprise applications, platforms, data management, business technology
    
IBM
Published By: IBM     Published Date: Feb 05, 2015
This new research — based on data collected in May 2013 from 29 organizations using visual data discovery and 95 that were not — reinforces those findings. In addition, Aberdeen's research demonstrates that visual data discovery can help to usher in a different approach to analytics, an approach that is far more user driven.
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advanced analytics, visual data discovery, managed reporting, data discovery tools
    
IBM
Published By: IBM     Published Date: Sep 30, 2016
"The malware industry supplies all the components cybercriminals need to easily perpetrate malware-driven financial fraud and data theft. In today’s virtual world, the scope of organizations vulnerable to malware-driven cybercrime is quite broad. In addition to banks and credit unions that are subject to online banking fraud, financial fraud can be perpetrated on insurance companies, payment services, large e-commerce companies, airlines and many others. "
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ibm, security, web fraud, malware, cybercrime, cyber security, knowledge management, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jul 17, 2018
With the deadline for GDPR compliance looming in May 2018, it’s a good time for security and privacy professionals to take stock of how their readiness efforts and approaches compare to the rest of the industry. This data-driven report outlines the current state of compliance, trends by industry and geography, and key Forrester recommendations for moving your efforts forward.
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IBM
Published By: Group M_IBM Q418     Published Date: Sep 25, 2018
With the deadline for GDPR compliance looming in May 2018, it’s a good time for security and privacy professionals to take stock of how their readiness efforts and approaches compare to the rest of the industry. This data-driven report outlines the current state of compliance, trends by industry and geography, and key Forrester recommendations for moving your efforts forward.
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Group M_IBM Q418
Published By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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Cisco
Published By: Cisco     Published Date: Jul 11, 2016
Operational efficiency and cost savings. Datadriven business insights. Organizational agility and market differentiation. Enterprises in every industry are pursuing such gains, but they cannot be achieved with a fragmented, siloed technology infrastructure. Technological integration doesn’t happen overnight, of course. It takes years of behind-the-scenes teamwork and engineering—backed by decades of expertise, research, and development—to have a broad and lasting impact. This special edition of Unleashing IT highlights the fruits of those labors, showcasing the unparalleled alignment of Microsoft, Cisco, and Intel technologies. In the following pages, you’ll read about the advancement and unique value of integrated solutions, spanning cloud environments, data centers, and management tools. You’ll also hear from organizations that are aking advantage of these converged technologies, including King County, Provincia Net, and Swinburne University.
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Cisco
Published By: Cisco     Published Date: Jul 11, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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Cisco
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Growth in data-driven business strategies give IT leaders both opportunity and challenges in building a roadmap for success. Download the white paper to learn more about critical considerations as IT leaders align and support changing business strategy with the right IT infrastructure roadmap.
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Oracle PaaS/IaaS/Hardware
Published By: Mentor Graphics     Published Date: Apr 03, 2009
A powerful signal integrity analysis tool must be flexibility, easy to use and integrated into an existing EDA framework and design flow. In addition, it is important for the tool to be accurate enough. This report reviews a validation study for the Mentor Graphics HyperLynx 8.0 PI tool to establish confidence in using it for power integrity analysis.
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mentor graphics, pdn simulation, eda framework, mentor hyperlynx 8.0 pi, integrity analysis, virtual prototypes, esr, capacitor, power distribution network, vrm, voltage regulator module, signal, smas, analog models, backward crosstalk, capacitive crosstalk, controlling crosstalk, correct emc problems, correct emi problems, cross talk
    
Mentor Graphics
Published By: Mentor Graphics     Published Date: Apr 03, 2009
For advanced signaling over high-loss channels, designs today are using equalization and several new measurement methods to evaluate the performance of the link. Both simulation and measurement tools support equalization and the new measurement methods, but correlation of results throughout the design flow is unclear. In this paper a high performance equalizing serial data link is measured and the performance is compared to that predicted by simulation. Then, the differences between simulation and measurements are discussed as well as methods to correlate the two.
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mentor graphics, equalized serial data links, design flow, high loss channels, tektronix, pcb, bit error rate, ber, ieee, serdes, simulation, system configuration, mentor graphics hyperlynx, simplified symmetric trapezoidal input, duty cycle distortion, ber contours, electronics, analog models, backward crosstalk, capacitive crosstalk
    
Mentor Graphics
Published By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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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: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
Some organizations focus on the scary aspects of failing to comply with the EU General Data Protection Regulation. But there are many long-term benefits of following through with plans for sustainable GDPR compliance – such as gaining a competitive edge, or developing new products or services. To learn how organizations have approached compliance efforts, SAS conducted a global survey among 183 cross-industry businesspeople involved with GDPR. Based on the results, this e-book delves into the biggest opportunities and challenges faced. Read the e-book to: • Get advice from industry experts. • Find out what steps peers have taken. • Learn how an integrated approach from SAS can continue to guide your journey.
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SAS
Published By: SAS     Published Date: Mar 20, 2019
What’s on the chief data and analytics officer’s agenda? Defining and driving the data and analytics strategy for the entire organization. Ensuring information reliability. Empowering data-driven decisions across all lines of business. Wringing every last bit of value out of the data. And that’s just Monday. The challenges are many, but so are the opportunities. This e-book is full of resources to help you launch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly data-driven with best practices from TDWI, see what an open approach to analytics did for Cox Automotive and Cleveland Clinic, and find out how the latest advances in AI are revolutionizing operations at Volvo Trucks and Mack Trucks.
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SAS
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