data driven

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Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
Cities are changing at a pace never before possible, bringing smart features online daily. But smart features dont equal smart cities. Thats why aspiring smart cities are shifting from siloes of smart features to a more holistic approach that connects and makes sense of all people and things. This shift demands technology solutions that are edge-centric, cloud-enabled and data-driven, able to deliver citizen-centric outcomes now and into the future.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
Discover how HPE is responding to the massive growth in enterprise data with intelligent storage. Data helps enterprises find new ways to reach and serve customers to grow profitability, but only when it is available at the right place and the right time. The growing complexity of managing and securing data prevents businesses from gaining its full value. Hewlett Packard Enterprise delivers the worlds most intelligent storage for the hybrid cloud world by providing storage that is driven by artificial intelligence, built for the cloud, and delivered as a service.
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Hewlett Packard Enterprise
Published By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state, governmental, decisions, data management
    
Aberdeen
Published By: Pure Storage     Published Date: Apr 18, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data. Amazon CEO Jeff Bezos spoke about the potential of artificial intelligence and machine learning at the 2017 Internet Associations annual gala in Washington, D.C., It is a renaissance, it is a golden age, Bezos said. We are solving problems with machine learning and artificial intelligence that were in the realm of science fiction for the last several decades. Natural language understanding, machine vision problems, it really is an amazing renaissance. Machine learning and AI is a horizontal enabling layer. It will empower and improve every business, every government organization, every philanthropy
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Pure Storage
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: 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: 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: Oracle EMEA     Published Date: Apr 15, 2019
Forward-thinking enterprises understand what it takes to be successful in this data-rich, increasingly automated economy. According to the Harvard Business Review Analytic Services research report The Rise of Intelligent Automation: TurningComplexity into Profit, sponsored by Oracle, at least 7 in 10 executives understand that predictive analytics (80%) and AI and machine learning (68%) are important for the future of the business. Even as executives recognize the vital role data plays in their businesses, many are unable to take advantage of the value residing in their data. The old ways of collecting, managing, storing, and analyzing data are no longer effective, and are preventing businesses from extracting potential value. Many simply cant execute on a data-driven vision.
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Oracle EMEA
Published By: Hitachi Vantara     Published Date: Mar 08, 2019
Consider the key trends driving the modernization of the data infrastructure: focus on governance, mobilization and analytics. And take a look at the technologies that make up modern data infrastructure, including artificial intelligence (AI), flash storage, converged and hyperconverged platforms, and software-defined infrastructures. Read this e-book to observe the key trends driving the modernization of data infrastructure and see how organizations are adapting and flourishing in a data-driven world.
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Hitachi Vantara
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
Digital transformation (DX) is a must for midsize firms (those with 100 to 999 employees) to thrive in the digital economy. DX enables firms to increase competitive advantage through initiatives such as automating business processes, creating greater operational efficiencies, building deeper customer relationships, and creating new revenue streams based on technology-enabled products and services. DX is a journey, and it starts with firms embracing an IT-centric vision that guides a data-driven, analytics-first strategy. The outcome of DX initiatives depends on the ability of a firm to efficiently leverage people (talent), process, platforms, and governance to meet the firms business objectives.
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Hewlett Packard Enterprise
Published By: Dell     Published Date: Nov 02, 2018
For many organizations, digital transformation (DX) is the most strategically important initiative for the organization and may determine its ability to compete in the coming decade. IDC estimates that 60% of organizations will have created and begun implementation of a digital transformation strategy by 2020. These DX initiatives are designed to take the organization forward as a proactive, data-driven company that uses and monetizes data to gain competitive advantage in the marketplace.
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Dell
Published By: HPE Intel     Published Date: Mar 15, 2016
Are you asking the right questions about your data center? Would you like your IT infrastructure to be faster and more agile? Would you like to improve your cost structure? Do you plan to adopt a hybrid IT infrastructure and become a service provider for your business? To adapt to and compete in our ultra-connected, data-driven, and digital world, you need to effectively plan, build, integrate, and manage your facilities, platforms, and systems to efficiently align your infrastructure resources.
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HPE Intel
Published By: Sage     Published Date: Nov 26, 2018
Do you know your people as well as you know your customers? Your peoples expectations and the way they work are changing. Employees are more diverse, mobile and technologically savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything from attracting and keeping the best talent to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions. Discover in this guide how to improve visibility of your workforce with data-driven and actionable insights. Ultimately, it will help you know your people better and
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Sage
Published By: Oracle     Published Date: Nov 28, 2017
Todays leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Todays digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
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Oracle
Published By: Oracle     Published Date: Jan 08, 2018
Data is a driver of growth and change that is quickly becoming the world's most valuable resource. As such, finance leaders face increased pressure to value data as an asset on their balance sheets and use it to drive business strategy. To capitalize on the power of data, learn how to pinpoint where you are today. what steps you can take to reach your goals and how to measure success.
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Oracle
Published By: Cisco EMEA     Published Date: Nov 08, 2018
Digital transformation (DX) a technology-driven business strategy enables firms to gain or expand their competitive differentiation by embracing data-driven decision-making processes, whether for increasing operational efficiencies, developing new products and services, increasing customer satisfaction and retention, or getting a better intelligence on the market. Big Data and analytics (BDA) applications form the foundation for enterprisewide digital transformation initiatives. To find out more download this whitepaper today.
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Cisco EMEA
Published By: Cherwell Software     Published Date: Apr 07, 2016
Cherwell Service Management software empowers IT organizations to easily manage their infrastructure at a fraction of the cost and complexity associated with traditional, legacy IT service management software. Designed with a metadata-driven approach, the Cherwell Service Management platform can easily be configured to meet process and integration requirements without writing or touching a single line of code. Furthermore, configurations will never break during version upgrades.
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best practices, customer support, business intelligence, business optimization, business management
    
Cherwell Software
Published By: Commvault     Published Date: Jul 06, 2016
Enterprises today increasingly turn to array-based snapshots and replication to augment or replace legacy data protection solutions that have been overwhelmed by data growth. The challenge is that native array snapshot tools and alternative 3rd party solutions have varying degrees of functionality, automation, scripting requirements, hardware support and application awareness. These approaches can add risk as well as administrative complexity and make it more difficult to realize the full potential of snapshots whether in single disk vendor estates or in heterogeneous storage environments. This checklist will enable you to build a shortlist of the 'must have' features needed for snapshots to deliver exactly what you require in your application environment or Private Cloud.
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commvault, snapshot management, replication, array based snapshots, data protection solutions, gui driven, intellisnap, no scripting, increase rpos, networking, security, enterprise applications, storage, data management, productivity, service management
    
Commvault
Published By: SAS     Published Date: Jan 17, 2018
The Internet of Things can bring big benefits. But what exactly is IoT, and how are different industries taking advantage of it? This TDWI e-book explores in detail what IoT and the Industrial IoT (IIoT) do for retailers, the automotive industry, state and local governments working with utilities firms, and the manufacturing industry. Common themes include connectedness, data-driven insights, predictive capabilities and transformation.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
Delivering exceptional customer experiences has become a key differentiator for top organizations today. Now you can see where your peers and competitors stand in the new Forbes Insights report Data Elevates the Customer Experience. This report is a comprehensive follow-up to an October 2015 preliminary pulse survey conducted among 105 executives of large global organizations. It identifies three categories of organizations leaders, explorers and laggards and measures the progress they have made with the data-driven customer experience based on three key pillars: organization (people), openness (data) and orchestration (processes). Read the results, find out where you stand and glean some new ideas from your peers about how to elevate the customer experience.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
For organizations to succeed with the onslaught of devices, sensors and tools that innovation garners, data must no longer be treated as a byproduct but instead as an asset. And data-driven innovation must start at the top. That's what Michael Schrage, Fellow at MIT Sloan School's Initiative on the Digital Economy, said during the Harvard Business Review webinar, Leadership and Big Data Innovation. Find out why data experimentation, governance and culture are part of the next leadership challenge for organizations.
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SAS
Published By: Cisco     Published Date: Jun 21, 2016
Enterprises are leveraging advancements in what IDC calls 3rd Platform technologies cloud, Big Data, mobility, and social to create new business opportunities and gain competitive advantage. These trends are putting more pressure on IT organizations to transform their datacenter operations to better support business initiatives aimed at reducing costs, increasing revenue, and strengthening customer relationships. This has driven increased demand for converged or integrated systems that provide the tools needed to reduce capital costs, improve operational efficiencies and, ultimately, increase agility within the datacenter.
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Cisco
Published By: Oracle     Published Date: Sep 05, 2014
CMOs face a major dilemma: While 75% of CEOs want marketing to become more ROI-focused and attribute revenue to efforts, theyre also being tasked to innovate and lead their companies into the digital age. Read how the Oracle Marketing Cloud provides marketing leaders with data-driven solutions to unify marketing resources and empower Modern Marketing teams to deliver personalized customer experiences across each channel.
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roi, marketing, cmo, resources, modern, cloud, digital age, resources, innovate, solutions, data-driven, customer, dilemma, solution, data integration
    
Oracle
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