data driven

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Published 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
Published 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
Published 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
Published 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
Published 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. Todays 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).
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data driven marketing, contextual marketing, cmo, omnichannel, multichannel, automation, loyalty, crm, marketing, personlisation, campaign management, customer marketing, retention marketing, marketing cloud, marketing solution, marketing platform, artificial intelligence, prediction learning, product recommendation
    
Selligent Marketing Cloud
Published 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: Heres 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. Its like driving by looking only in the rear-view mirror. Looking at whats behind isnt 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 businessesand especially amongst C-suite employees. These people know that the benefits are proven. Analytics-driven execu
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Sage People
Published 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 youre communicating in context on a oneto- one basis. Marketing has the opportunity to reinvent itself as a core part of a companys revenue engine.
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Oracle OMC
Published 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
Published 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.
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it planning, data, data-driven applications, data challenges, data solutions, big data solutions, big data challenges, in-memory databases, web-abpplications, in-memory data grid, nosql, storage nodes, e-commerce applications, social applications, logisitcs applications, trading applications, data scaling, rest, memcached, hot rod
    
Red Hat, Inc.
Published 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 dos and donts of how to get there.
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SAS
Published By: SAS     Published Date: May 24, 2018
Compliance doesnt have to be a scary word, even when facing the multifaceted challenges of the European Unions 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
Published 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 streamsall 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
Published By: MicroStrategy     Published Date: Jan 23, 2019
By 2025, the total amount of data produced will grow to 175 zettabytes, according to IDCs 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
Published 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 streamsall 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
Published By: MicroStrategy     Published Date: Apr 11, 2019
By 2025, the total amount of data produced will grow to 175 zettabytes, according to IDCs 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
Published By: MicroStrategy     Published Date: Aug 21, 2019
To survive and thrive in an era of accelerating digital disruption, organizations require accessible data, actionable insights, continuous innovation, and disruptive business models. Its no longer enough to prioritize and implement analytics leaders are being challenged to stop doing analytics just for analytics sake and focus on defined business outcomes. In addition, these leaders are being challenged to bring predictive capabilities and even prescriptive recommended actions into production at scale. As AI and accelerated growth and transformation become top of mind, many enterprises are realizing that their current segmented analytics approach isnt built to last, and that real transformation will require proper endto- end data management, data security, and a data processing platform company-wide. The year 2019 will be a turning point for many organizations that realize being data-driven doesnt guarantee future success.
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MicroStrategy
Published By: MicroStrategy     Published Date: Aug 21, 2019
Ready or not, the future is here. For enterprise organizations, it must be a data-driven one. Whoever can use technology to transform the customer experience, and be the first to discover and deliver on new business models, will be the disruptor. Those who cant, the disrupted in this period known as the era of Digital Darwinism. The future belongs to the Intelligent Enterprise which anticipates constantly evolving regulatory, technological, market, and competitive challenges and turns them into opportunity and profit. It delivers a single version of the truth and agility. It connects to any data and distributes reports to thousands. The Intelligent Enterprise goes beyond business intelligence, delivering transformative insight to every user, constituent and partner. Are most organizations there yet? As brands hone and focus their 2020 (and even 2030) vision, MicroStrategy has surveyed 500 enterprise analytics professionals on the state of their organizations analytics initiatives.
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MicroStrategy
Published By: GoodData     Published Date: Oct 14, 2013
See GoodData's 5 steps to
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gooddata, big data, institutionalizing big data, data-driven, data plaform
    
GoodData
Published By: NetApp     Published Date: Dec 15, 2014
Organizations today are increasingly information-driven, requiring them to create, organize, and store more data every day. To handle the conversion of data to information, you need an agile and scalable infrastructure which will provide the backbone to run multiple business-critical workloads simultaneously. This IDC white paper examines the need for the NetApp FAS8080EX hardware-optimized platform to help organizations transform into data-driven entities, adopt newer technologies, and invest in business-critical applications to stay ahead of their competition.
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information-driven, data, scalable infrastructure, hardware-optimized platform, storage
    
NetApp
Published By: Epicor     Published Date: Dec 06, 2018
Changeand the innovation it createsincreasingly defines the winners and losers in todays manufacturing industry. As successful manufacturers continue to embrace the Internet of Things (IoT), Industry 4.0, and other digital transformation trends, its important to recognize and implement these changes or risk getting left behind by the competition. In this Epicor eBook, well look at five key areas where successful manufacturers must embrace change and use it to drive innovation, competition, and growthincluding: The accelerating pace of technology change The changing face of the modern workforce Competing in a global manufacturing marketplace Tapping the power of analytics and data-driven manufacturing Charting a path to sustainable, cost-effective compliance Well also explain how Epicor Cloud ERP equips manufacturers to regard change as an opportunity rather than a threat. Download the eBook to learn more.
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epicor erp, cloud erp, digital transformation
    
Epicor
Published By: ADP     Published Date: Nov 16, 2017
People are the most important part of your organization. Understanding what they do, how they do it, and even why they do it, provides invaluable insights for optimizing your processes, department, or entire organization. And as a business leader, in many ways youve never had it so good. Theres more people data available than ever before, and youve got the opportunity to put it to work through data-driven initiatives like changes to workforce demographics, employee retention, or benefits allocations. And most important, you have a chance to fuel business decision-making with smart workforce insights. Once youve learned how to turn your people data into real business value, youll create more visibility within your business, and everyone will see that the rewards of HR analytics are worth the effort. Its time to take the opportunity to prove the value of data-driven HR. No more darkness. Otherwise, the only journey ahead is into some challenging pitfalls. Weve identified five of t
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ADP
Published By: MarkLogic     Published Date: May 07, 2018
Learn how Life Sciences organizations can accelerate Real World Evidence by achieving faster time to insight with a metadata-driven, semantically enriched operational platform. Real World Evidence (RWE) is todays big data challenge in Life Sciences. Medical records, registries, consultation reports, insurance claims, pharmacy data, social media, and patient surveys all contain valuable insights that Life Sciences organizations need to ascertain and prove the safety, efficacy, and value of their drugs and medical devices. Learn how Life Sciences organizations can accelerate RWE with a metadata-driven, semantically enriched operational platform that enables them to: Unify, harmonize and ensure governance of information from diverse data sources Transform information into evidence that proves product efficacy and safety Identify data patterns, connections, and relationships for faster time to insight
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data, integration, drug, device, manufacture, science
    
MarkLogic
Published By: Oracle     Published Date: Jan 28, 2015
Traditional brick-and-mortar multi-channel retailers have online competitors ruled by data scientists who define retail as a data mining and optimization problem. John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail discusses the science of pricing, and predictions for the role of science in retail over the next five years.
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Oracle
Published By: Teradata     Published Date: Feb 04, 2015
Get the Inside Scoop on Data-Driven Marketing from 1,500 Global Marketers Explore the State of Data-Driven Marketing and the Power of Individualized Insights Our 2015 global marketing study examines the current state of data-driven marketing and how it affects the customer experience. To determine where you fall on the data-driven continuum and to find out how to create more compelling customer interactions download the Teradata 2015 Global Data-Driven Marketing Survey.
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teradata, global, trends, marketing, data, insights, campaign, segmentation, personalization, real-time, digital, integrated, 2015, omni-channel, cooperation, retention, acquire, roi
    
Teradata
Published By: NetApp     Published Date: Mar 05, 2018
Access to comprehensive, up-to-date information about your infrastructure is critical to meeting the challenges of a service-led IT organization. You need visibility into your entire IT infrastructure, including both multi-vendor and multi-cloud environments, so you can make data-driven decisions and improve IT services. Discover how you can manage, monitor, and report on IT services across your entire data infrastructure so you can drive intelligent business decisions and reduce costs.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
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