leaders

Results 1 - 25 of 1716Sort Results By: Published Date | Title | Company Name
Published By: Trillium Software     Published Date: Dec 17, 2015
Digital business and disruptive technologies continue to fuel solid growth in the data quality tools market, alongside traditional cost reduction and process optimization efforts. This Magic Quadrant will help CIOs, chief data officers and information leaders find the best vendor for their needs.
Tags : 
    
Trillium Software
Published By: Neo Technology     Published Date: Feb 15, 2018
By itself, data offers finite value. But when connected, its value is infinite. Discover how enterprise organizations such as Airbnb, eBay and Telia used connected data and graph technology in order to create a sustainable competitive advantage. This white paper shows business leaders how to take advantage of data relationships with graph technology.
Tags : 
    
Neo Technology
Published By: Reltio     Published Date: Aug 11, 2017
"Forrester's research uncovered a market in which Reltio [and other companies] lead the pack,” the Forrester Wave Master Data Management, 2016 states. "Leaders demonstrated extensive and MDM capabilities for sophisticated master data scenarios, large complex ecosystems, and data governance to deliver enterprise-scale business value.”
Tags : 
    
Reltio
Published By: Reltio     Published Date: May 22, 2018
"Forrester's research uncovered a market in which Reltio [and other companies] lead the pack,” the Forrester Wave Master Data Management states. "Leaders demonstrated extensive and MDM capabilities for sophisticated master data scenarios, large complex ecosystems, and data governance to deliver enterprise-scale business value.” Reltio executes the vision for next-generation MDM by converging trusted data management with business insight solutions at scale and in the cloud. Machine learning and graph technology capabilities enable a contextual data model while also maintaining temporal and lineage changes of the master data.
Tags : 
    
Reltio
Published By: Looker     Published Date: Sep 27, 2017
Creating metrics to measure the success or failure of your business may seem simple, but there are many avoidable mistakes that business leaders make every day. Many leaders end up focusing on “vanity metrics”, which might make the business look healthy, but do not actually give you insights into what is going on. And worst case, they are masking larger issues that you need to know and should be addressing. In this report, learn from other data-driven businesses how to avoid vanity metrics and focus on metrics that matter.
Tags : 
    
Looker
Published By: Semarchy     Published Date: Feb 12, 2018
This whitepaper covers a recently completed a ground-breaking industry wide survey of executives, architects, and business stakeholders from data-driven organizations by Enterprise Management Research in order to explore the growing role of the CDO, and to explore the various data management maturity levels of enterprise companies. This whitepaper explains how industry visionaries use data as an asset, and discusses the growing importance of data governance leadership. Additionally, it creates a data management maturity index to show how various companies match-up in their data management vision and capabilities. Finally, the whitepaper covers the top data-focused applications used and their average implementation timelines.
Tags : 
    
Semarchy
Published By: Innovative Systems     Published Date: Mar 29, 2017
Planning a data quality initiative? This paper presents some of the most effective tactics used to justify a data quality initiative, present a strong business case, and get approvals from senior executives, such as: • How to demonstrate to business leadership the costs of poor data quality • The benefits of working with stakeholders to create the business case • How to calculate and present the ROI of proposed projects
Tags : 
    
Innovative Systems
Published By: Datameer     Published Date: Oct 10, 2017
Most data analytics leaders recognize the need to modernize their data analytics platforms. The question is how.
Tags : 
    
Datameer
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
The bar for success is rising in higher education.  University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
With the maturing of the all-flash array (AFA) market, the established market leaders in this space are turning their attention to other ways to differentiate themselves from their competition besides just product functionality. Consciously designing and driving a better customer experience (CX) is a strategy being pursued by many of these vendors.This white paper defines cloud-based predictive analytics and discusses evolving storage requirements that are driving their use and takes a look at how these platforms are being used to drive incremental value for public sector organizations in the areas of performance, availability, management, recovery, and information technology (IT) infrastructure planning.
Tags : 
    
Hewlett Packard Enterprise
Published By: Sage People     Published Date: Jan 22, 2019
In our latest survey report, we explore the growth challenges facing businesses and HR leaders in a rapidly changing landscape. We surveyed over 500 HR leaders in leading organisations to explore their views on these challenges, and to find out how they are supporting people and leveraging people data to help them achieve their growth goals. The survey revealed that: • It’s the war for talent, again. The greatest challenges for growing companies are winning the war for talent, growing productivity and improving workforce visibility. • Fast-growth companies share common traits in the way they manage and engage their people—we call this being a People Company. • There’s a disconnect between managers and employees in terms of what being a People Company means. • Becoming a People Company is a journey, with many organisations some way from embracing all aspects. • People Science is a thing: there’s an appetite to leverage people data and analytics, but there are blockers in the way. Re
Tags : 
    
Sage People
Published By: Sage People     Published Date: Jan 31, 2019
The way we work has completely transformed. New technology is changing how, where and when we work. In this new landscape, businesses face challenges around growth, talent acquisition and productivity. Employers need to embrace new technology to get ahead in this new world of work, and put people at the heart of their strategy. However, HR and People leaders are in fierce competition for that all-important slice of budget and that makes building the strongest business case for technology investment vital. This guide is designed to help HR and People leaders like you get the financial support you need. You’ll get practical, effective tips on: • Understanding and explaining the true benefits of investing in a new HR system and likely return on investment • Positioning HR as a leader of change throughout your business • Ensuring your HR vision fits in with the business strategy • Getting management and key stakeholder buy-in • Building the strongest business case and the most powerful el
Tags : 
    
Sage People
Published By: Google Apigee     Published Date: Feb 05, 2019
Application programming interfaces, or APIs, are the way software talks to other software—so by definition, they’re a technology that connects systems. Many enterprise leaders think of them primarily in these terms. For example, 57 percent of respondents to Google’s enterprise digital maturity assessment tool, Apigee Compass, characterize APIs as systems integration technology.
Tags : 
    
Google Apigee
Published By: Rackspace     Published Date: Feb 01, 2019
Rackspace Quick Start for Google Cloud Platform helps enterprises expedite their migration to Google Cloud using proven design, automation, and migration methodologies—all executed by Rackspace experts who have deployed more than a million applications into the cloud. By partnering with your company’s cross-functional leaders, our professional adoption team will fast-track your journey to the cloud—typically moving your first application(s) to the cloud within the first few weeks of the program. This annual review includes an assistance with a disaster recovery (DR) simulation, audit of patch levels, and upl eveling the deployment tools to ensure they align with the infrastructure that may have evolved since deployment.
Tags : 
    
Rackspace
Published By: Lenovo - APAC     Published Date: Jan 28, 2019
Australian businesses have long been recognised as leaders in the adoption of cloud services and the migration of core infrastructure to cloud platforms. Yet as ambitious ‘cloud-first’ programs are executed, performance and complexity issues have led many organisations to embrace the middle ground – a hybrid IT solution combining public cloud and on-premises infrastructure. Fast-growing hyperconverged infrastructure (HCI) platforms are increasingly being recognised as an ideal enabler for this strategy, with a software-based design that combines robust computing infrastructure with a high degree of centralisation, integration, flexibility, and analytics-based monitoring and manageability. Read how companies such as Beam Suntory have redefined enterprise architecture and learn more about the way an integrated hyperconverged infrastructure can help you build the right infrastructure for the future.
Tags : 
lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Epicor Software Corporation     Published Date: Jan 09, 2019
To Keep Pace With Your Customers and Competitors, It’s Time to Leave Your Legacy Software Behind. Legacy enterprise resource planning (ERP) systems struggle to keep up with the modern pace of business, and they fail to meet the changing needs of your workforce. Can your leaders quickly find and analyze vital data? Are your employees’ tasks and processes straightforward and efficient? Does your ERP software make it easier to support growth? See how manufacturers upgrading to the latest ERP software from Epicor transform their business by delivering the visibility, efficiency, and productivity essential for sustained growth.
Tags : 
    
Epicor Software Corporation
Published By: Oracle     Published Date: Feb 20, 2019
Practice Supply Chain Best-in-Class What does it take to thrive in a digital world? A strong, strategic relationship with customers; data that supports confident decision-making; and an end-to-end SCM and ERP platform that brings it all together. See how industry leaders do it.
Tags : 
    
Oracle
Published By: Oracle     Published Date: Feb 20, 2019
6 Reasons Supply Chain Leaders Move to the Cloud To meet market needs and effectively compete, organizations demand visibility, agility, and integration from their supply chains. Traditional SCM platforms simply can’t keep up—and leaders are leveraging the cloud to build more adaptable models.
Tags : 
    
Oracle
Published By: Oracle     Published Date: Feb 20, 2019
Build a Future-Ready Supply Chain To compete today, supply chain leaders must say goodbye to incompatible, siloed systems and embrace future-ready cloud technology. See why Oracle SCM Cloud can help you connect all elements of your supply chain and quickly leverage new technologies as they emerge.
Tags : 
    
Oracle
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
Tags : 
    
Domino Data Lab
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.
Tags : 
    
Domino Data Lab
Published 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.
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Jan 23, 2019
A&BI platforms are evolving beyond data visualization and dashboards to encompass augmented and advanced analytics. Data and analytics leaders should enable a broader set of users with new expanded capabilities to increase the business impact of their investments.
Tags : 
    
MicroStrategy
Published By: Genesys     Published Date: Feb 08, 2019
Successfully implementing and managing a comprehensive suite of customer experience technologies is essential for global businesses seeking to sustain high levels of customer experience and brand value. However, knowing how to temper the instinct to throw technology solutions at efficiency problems is what distinguishes global customer experience leaders from the rest. New technologies must be balanced with appropriate investment in human resources. This is the central finding of a global survey of over 550 senior executives conducted by MIT Technology Review to examine the pressures that shape their customer experience processes and the tools and strategies they employ to mitigate those challenges and continuously improve customer engagement. Read the report to get a detailed look at: The strategies that differentiates an Iconic firm from other businesses How strategies vary across regions based on maturity and customer expectations Future innovation management and technology adopt
Tags : 
    
Genesys
Published By: Genesys     Published Date: Feb 12, 2019
Sur un marché des centres de contacts cloud aussi vaste que changeant, il est souvent difficile de trouver la solution adaptée à votre entreprise. C’est pourquoi Ovum a conçu un outil intitulé « Matrice décisionnelle Ovum : comment sélectionner une solution de centre de contacts multicanal dans le cloud (édition 2017-18) ». Ce document a pour but de dresser un comparatif des grands acteurs de ce marché sur la base de leurs fonctions de routage des appels voix et de service client multicanal. Vous y découvrirez comment Genesys s’est imposé parmi les leaders grâce à des solutions pour les entreprises de toutes tailles et de tous secteurs à travers le monde. Au sommaire de la Matrice décisionnelle Ovum : Comparatif des plateformes technologiques des différentes solutions de centre de contacts dans le cloud Évaluation des capacités des fournisseurs dans les domaines de la gestion des interactions clients multicanaux et de l’analytique des données clients et d’entreprise Identification
Tags : 
    
Genesys
Start   Previous   1 2 3 4 5 6 7 8 9 10 11 12 13 14 15    Next    End
Search      

Add Research

Get your company's research in the hands of targeted business professionals.

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept