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By: CheckMarx     Published Date: Apr 03, 2019
In the early years of software development, you would often design it, build it, and only then think about how to secure it. This was arguably fine in the days of monolithic applications and closed networks, when good perimeter-based protection and effective identity and access management would get you a long way towards minimising the risk. In today’s highly connected, API-driven application environments, however, any given software component or service can be invoked and potentially abused in so many different ways. Add to this the increasing pace of change through iterative ‘DevOps-style’ delivery and ever-faster release cycles, and many understandably assert that security management and assurance nowadays needs to be an ongoing and embedded part of the development and delivery process.
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     CheckMarx
By: Group M_IBM Q119     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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     Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Jan 18, 2019
Wherever an organization is in the world today, it relies on IT in its quest to drive revenues, improve profit margins, and service customers. Yet most small- to mid-sized businesses (SMBs) and government agencies select IT infrastructure solutions that drive higher costs and limit the business' ability to respond to changes in the marketplace. This is driven by perceptions that many IT executives running Linux and open source applications have regarding server platforms.
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     Group M_IBM Q119
By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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     Group M_IBM Q2'19
By: Visier     Published Date: Jan 25, 2019
Visier People is the leading people analytics and workforce planning solution – a cloud-based people strategy platform that provides answers to hundreds of pre-built, best practice questions, across a range of HR and business topics. Offering unmatched people insights, Visier People also enables continuous, collaborative, data-driven workforce planning.
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     Visier
By: Domino Data Lab     Published Date: Feb 08, 2019
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform. This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
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     Domino Data Lab
By: Domino Data Lab     Published Date: Feb 08, 2019
As organizations increasingly strive to become model-driven, they recognize the necessity of a data science platform. According to a recent survey report “Key Factors on the Journey to Become Model-Driven”, 86% of model-driven companies differentiate themselves by using a data science platform. And yet the question of whether to build or buy still remains. This paper presents a framework to facilitate the decision process, and considers the four-year projection of total costs for both approaches in a sample scenario. Read this whitepaper to understand three major factors in your decision process: Total cost of ownership - Internal build costs often run into the tens of millions Opportunity costs - Distraction from your core competency Risk factors - Missed deadlines and delayed time to market
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     Domino Data Lab
By: Domino Data Lab     Published Date: May 23, 2019
This paper introduces the practice of Model Management, an organizational capability to develop and deliver models that create a competitive advantage. Today, the best-run companies run their business on models, and those that don’t face existential threat. The paper explains why companies that fail to run on models are falling for the Model Myth—the assumption that models can be managed like software or data. Models are different and need a new organizational capability: Model Management. What’s inside: Defining a model Why models matter for businesses Why companies fall for the Model Myth A framework for Model Management Practical steps to get started The paper is intended for anyone in a data science organization, or anyone who hopes to use data science as a key source of competitive advantage for their business.
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     Domino Data Lab
By: Mist Systems     Published Date: Jun 19, 2019
Download for a simplified look at an Automated intelligence Driven Enterprise
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     Mist Systems
By: Selligent Marketing Cloud     Published Date: Mar 07, 2018
Context can make or break the communication – and, ultimately, the relationship – between a consumer and a brand. Today’s consumers expect relevant communications that speak directly to their needs in the moment. We have the technology today to deliver such messages – but there are significant barriers to developing relevant, contextual programs of this kind. Some of the development challenges represent new versions of old challenges. Take data as an example: it has always been hard to harness data from different sources and to leverage insights in real time. But today, there are additional opportunities – if not expectations – for marketers to use contextual data to better reach and engage customers through the optimal channel(s).
Tags : data driven marketing, contextual marketing, cmo, omnichannel, multichannel, automation, loyalty, crm
     Selligent Marketing Cloud
By: Oracle Global Marketing     Published Date: Nov 16, 2011
Learn how to meet expectations on the evolving consumer journey through the cross-channel commerce landscape of today, driven by technical trends.
Tags : ecommerce, business research, enterprise technology, it solution, retail applications, oracle, oracle retail applications, atg commerce
     Oracle Global Marketing
By: Sage People     Published Date: May 18, 2018
In some kinds of more traditional businesses the finance department tends to swallow as much data as is thrown at it but only outputs small, measured and curated amounts of insights periodically: “Here’s revenue vs target in the last quarter”. These are undoubtedly essential for proper business management, But periodic reports also mean it can be too late for the business to respond. It’s like driving by looking only in the rear-view mirror. Looking at what’s behind isn’t going to let you spot a sudden bend in the road! Essentially, the highly competitive and evolved business environment of today requires businesses to have proactive, indicative business metrics. Combined with more traditional metrics, these mean businesses have invaluable and complete insight in order to evaluate performance. Proactive, indicative business metrics are found across most successful businesses–and especially amongst C-suite employees. These people know that the benefits are proven. Analytics-driven execu
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     Sage People
By: Datarobot     Published Date: May 14, 2018
Founded in 2000, Trupanion is a Seattle-based company that provides allinclusive medical insurance policies for pet owners. A challenge for insurance companies is the need to quickly process claims to determine whether a claim should be paid automatically. In the comparatively small world of medical insurance for cats and dogs, however, only about 1% of pet owners hold insurance policies. Most veterinarians expect pet owners to cover the full bill for their pets’ treatment, making the insurance claims process a manual and time-consuming effort.
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     Datarobot
By: Oracle OMC     Published Date: Nov 30, 2017
Executing a data-driven digital advertising campaign, with a clear understanding of your target, provides you with marketing that is accountable based on revenue. And this data-driven approach is better for your prospects and customers due to relevance. Relationships thrive when you’re communicating in context on a oneto- one basis. Marketing has the opportunity to reinvent itself as a core part of a company’s revenue engine.
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     Oracle OMC
By: Oracle OMC     Published Date: Nov 30, 2017
Successful email marketing, demand generation, and lead management processes hinge on a modern strategy closely aligned to buyer needs and expectations across all phases of the buying process. Using a wide spectrum of digital channels, today’s buyers employ an extensive network of tools and resources to make the most informed purchase decisions. The Modern Marketing era is driven by the self-educated buyer who marketers must engage to achieve a relevant, targeted, and value-based customer experience. Marketers are increasingly enhancing their understanding of how data can fuel the delivery of meaningful interactions. This access to vast sources of information that marketers are applying to execute and achieve more refined marketing simply can’t be gleaned manually.
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     Oracle OMC
By: Oracle OMC     Published Date: Nov 30, 2017
The headwinds facing traditional and online retailers in 2017 are numerous and well documented. Chief among the challenges: a sustained assault on established business models driven by changing consumer behavior and the competitive might of e-commerce giant Amazon. Large big-box players, such as Walmart and Target, are responding to the threat - and embracing the opportunity of e-commerce - by boosting online spending by hundreds of millions or even billions of dollars annually. Yet even the largest and most well-resourced players can’t simply spend their way to success. Competing with Amazon and adjusting to the changing demands of consumers means taking a hard look at the engines driving e-commerce and digital marketing operations, scouring for missed opportunities, and investing in the technologies that will fuel the innovations of tomorrow.
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     Oracle OMC
By: Oracle OMC     Published Date: Nov 30, 2017
In today's marketing environment, how are CMO's using data to be more effective? CMOs weigh in on their top challenges and opportunities surrounding data driven marketing, revealing a clear emphasis on the need to demonstrate ROI, use testing to optimize efforts, and increase personalization in marketing activities.
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     Oracle OMC
By: Oracle OMC     Published Date: Nov 30, 2017
The headwinds facing traditional and online retailers in 2017 are numerous and well documented. Chief among the challenges: a sustained assault on established business models driven by changing consumer behavior and the competitive might of e-commerce giant Amazon. Large big-box players, such as Walmart and Target, are responding to the threat - and embracing the opportunity of e-commerce - by boosting online spending by hundreds of millions or even billions of dollars annually. Yet even the largest and most well-resourced players can’t simply spend their way to success. Competing with Amazon and adjusting to the changing demands of consumers means taking a hard look at the engines driving e-commerce and digital marketing operations, scouring for missed opportunities, and investing in the technologies that will fuel the innovations of tomorrow.
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     Oracle OMC
By: Red Hat, Inc.     Published Date: Jul 10, 2012
Is data changing the way you do business?Is it inventory sitting in your warehouse? The good news is data-driven applications enhance online customer experiences, leading to higher customer satisfaction and retention, and increased purchasing.
Tags : it planning, data, data-driven applications, data challenges, data solutions, big data solutions, big data challenges, in-memory databases
     Red Hat, Inc.
By: SAS     Published Date: May 24, 2018
Ongoing digitization has created vast streams of data, forcing businesses to become more data-driven than ever before. While the benefits of being a data-driven organization are clear (improved performance, more profitability, stronger innovations), there are still some technical and business challenges to overcome. Thanks to technological advancements in data analytics, companies in all types of industries can become data-driven. Read this e-book to discover what it means to be a data-driven organization and to learn the basic do’s and don’ts of how to get there.
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     SAS
By: SAS     Published Date: May 24, 2018
Compliance doesn’t have to be a scary word, even when facing the multifaceted challenges of the European Union’s General Data Protection Regulation. In fact, following through with plans for sustainable GDPR compliance can have many long-term benefits for your organization. That's because relying on data-driven decisions across the board sets you on track to gain a competitive edge. In February 2018, SAS conducted a survey with 183 global, cross-industry businesspeople involved with GDPR at their organizations. Based on the survey results, this e-book delves into the biggest challenges and opportunities organizations have faced on the road to GDPR compliance. Read on for advice from industry experts about the best path to compliance. Learn what steps your peers across a variety of industries have already taken and discover how an integrated approach from SAS can continue to guide your journey toward GDPR compliance.
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     SAS
By: Red Hat     Published Date: Dec 27, 2012
Gabriel Consulting Group’s recent annual x86 Data Center Surveys have shown that the average x86 enterprise customer is using three different hypervisors to virtualize their workloads.
Tags : data center, hypervisors, virtualize, red hat
     Red Hat
By: MicroStrategy     Published Date: Jan 23, 2019
The MicroStrategy 2018 Global State of Enterprise Analytics Report, which surveyed 500 decision-makers from around the globe, reveals that leading organizations create a competitive edge through their use of data, with 63% experiencing improved efficiency and productivity, 57% realizing faster, more effective decision making, and 51% achieving better financial performance. Other top benefits include improved customer experiences, improved customer acquisition and retention, and the identification and creation of new revenue streams—all keys to digital transformation. What else did the 2018 report reveal? Read all the insights with both global and geo-specific views here. This infographic shares a few highlights from the new 44-page report which serves as a benchmarking resource for all data-driven organizations.
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     MicroStrategy
By: MicroStrategy     Published Date: Jan 23, 2019
By 2025, the total amount of data produced will grow to 175 zettabytes, according to IDC’s Data Age 2025 Report. How will enterprises evolve over the next year to manage and make the most of this unprecedented growth? Download 10 Enterprise Analytics Trends to Watch in 2019 to learn how leading organizations will win with embedded and augmented analytics, HyperIntelligence, collaboration, enterprise AI strategies, and more. This eBook details the transformational technologies data-driven organizations will need to leverage to get and stay ahead in 2019 and beyond, with contributions from thought leaders, including: Mike Gualtieri of Forrester Research Ray Wang and Doug Henschen of Constellation Research Mark Smith and David Menninger of Ventana Research Chandana Gopal of IDC Ronald van Loon, and more. Is your organization ready for the data-driven future? Read 10 Enterprise Analytics Trends to Watch in 2019 today to find out.
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     MicroStrategy
By: MicroStrategy     Published Date: Apr 11, 2019
The MicroStrategy 2018 Global State of Enterprise Analytics Report, which surveyed 500 decision-makers from around the globe, reveals that leading organizations create a competitive edge through their use of data, with 63% experiencing improved efficiency and productivity, 57% realizing faster, more effective decision making, and 51% achieving better financial performance. Other top benefits include improved customer experiences, improved customer acquisition and retention, and the identification and creation of new revenue streams—all keys to digital transformation. What else did the 2018 report reveal? Read all the insights with both global and geo-specific views here. This infographic shares a few highlights from the new 44-page report which serves as a benchmarking resource for all data-driven organizations.
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     MicroStrategy
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