data initiative

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Published By: Cloudreach     Published Date: Apr 02, 2019
Why data analytics initiatives are worth the investment
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Cloudreach
Published By: Aberdeen Group     Published Date: Nov 23, 2015
This report examines the pressing need to break down data silos due to the damage they cause to analytical initiatives and user engagement. Read this report to find out more.
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customer acquisition, marketing leads, marketing challenges, marketing messages, contact management, data science, demand generation, email marketing
    
Aberdeen Group
Published By: HERE Technologies     Published Date: Aug 28, 2019
Mapping, tracking, positioning and real-time data arekey to supporting defense and intelligence initiatives. Governments and agencies need location data they can trust to track and adjust fixed and mobile resources to address rapidly changing events and circumstances. With Ovum's Location Platform Index: Mapping and Navigation, agencies can assess location platform industry leaders and identify the platform that best meets their product development demands. This year, HERE Technologies cemented its role as the industry leader, earning the highest ranking, and besting Google, for the second time in a row. Download your free report to learn: The relative strengths and weaknesses of each vendor, including data, enablers and features Vendor strategies to keep up with changes in technologies and trends The specific workings of the location platform market, and to better understand what constitutes a healthy location platform and which provider offers the correct portfolio and the necess
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data, platform, mapping, developers, index, vendors, capabilities, maps
    
HERE Technologies
Published By: IBM     Published Date: Apr 18, 2017
Learn from this TDWI paper how right-sized information governance can improve the success of data warehousing or big data analytics initiatives, and how a chief data officer can help organizations to appreciate the value of data and its importance to their decisions and operations.
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system integration, data governance, data optimization, data efficiency, data currency, data lineage, data security, data integration
    
IBM
Published By: SAS     Published Date: Apr 16, 2015
The framework presented here is a way to avoid data dysfunction via a coordinated and well-planned governance initiative. These initiatives require two elements related to the creation and management of data: • The business inputs to data strategy decisions via a policy development process. • The technology levers needed to monitor production data based on the policies. Collectively, data governance artifacts (policies, guiding principles and operating procedures) give notice to all stakeholders and let them know, “We value our data as an asset in this organization, and this is how we manage it.”
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SAS
Published By: Waterline Data & Research Partners     Published Date: May 18, 2015
In this report, Forrester Research recommends that application development and delivery (AD&D) professionals working on BI and big data initiatives get the best out of both by designing and integrating them in a flexible data platform.
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waterline, big data, automation, cataloging, processing, analysis, assets, data science
    
Waterline Data & Research Partners
Published By: Waterline Data & Research Partners     Published Date: Jun 15, 2015
Information governance and master data management initiatives are complex and require participation from a broad range of enterprise constituents. We focus on five small and innovative vendors that may help information managers reach their information governance and MDM goals.
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vendors, governance, information, mdm, management
    
Waterline Data & Research Partners
Published By: Citrix ShareFile     Published Date: Jul 11, 2017
Accounting is full of big, busy deadlines, which means the ability to take your work home with you could be a game-changer. But can your personal devices ever be secure enough to manage your clients’ sensitive data? Surprisingly, this informative whitepaper shows that, with the right preparation, using your personal device can actually help you keep your firm more secure. Why data encryption is often easier to adopt as part of a cloud initiative What top security threat you are less susceptible to on personal devices How to manage device updates and passwords for the greatest protection
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accounting, mobility, security, data encryption, data
    
Citrix ShareFile
Published By: Citrix ShareFile     Published Date: Jul 11, 2017
Finance moves fast, and the ability to work from anywhere on your smartphone or laptop could be a game-changer. But can your personal devices ever be secure enough to manage your clients’ sensitive financial data? Surprisingly, this informative whitepaper shows that, with the right preparation, using your personal device can actually help you keep your organization more secure. Why data encryption is often easier to adopt as part of a cloud initiative What top security threat your employees are less susceptible to on personal devices How to manage device updates and passwords for the greatest protection
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finance, data encryption, mobility, security, data
    
Citrix ShareFile
Published By: Citrix ShareFile     Published Date: Jul 11, 2017
Patients come with lots of paperwork. The ability to securely access it on your smartphone or laptop could be a game-changer. But can your personal devices ever be secure enough to manage PHI? Surprisingly, this informative whitepaper shows that, with the right preparation, using your personal device can actually help you keep your organization more secure. Why data encryption is often easier to adopt as part of a cloud initiative What top security threat your employees are less susceptible to on personal devices How to manage device updates and passwords for the greatest protection
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healthcare, mobility, data security, security tips, personal device
    
Citrix ShareFile
Published By: Amazon Web Services     Published Date: Oct 09, 2017
As easy as it is to get swept up by the hype surrounding big data, its just as easy for organisations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data's power to transform business, it's critical that organisations overcome these challenges and realise the value of big data. The cloud can help organisations to do so. Drawing from IDG's 2015 Big Data and Analytics Survey, this white paper analyses the top five challenges companies face when undergoing a big data initiative and explains how they can effectively overcome them.
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amazon, web services, intel, migration, data warehousing, organization optimization, security, software
    
Amazon Web Services
Published By: IBM     Published Date: Feb 22, 2016
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage.
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ibm, data, big data, integration, hadoop
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
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data integration, data security, data optimization, data virtualization, database security, data migration, data assets, data delivery
    
IBM
Published By: MarkLogic     Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to: - Make the world more secure - Provide access to valuable information - Create new revenue streams - Gain insights to increase market share - Reduce b
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enterprise, nosql, relational, databases, data storage, management system, application, scalable
    
MarkLogic
Published By: Oracle EPM     Published Date: May 11, 2015
Which EPM priorities are at the top of the Finance agenda? What are the most compelling developments in big data, analytics, mobile technology, and cloud computing that motivate Finance leaders to undertake new technology initiatives?
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epm, finance, technology, cloud computing, big data
    
Oracle EPM
Published By: Datawatch     Published Date: Feb 03, 2016
Some companies estimate that up to 80 percent of their analysts’ time is spent on data preparation. Thorough, automated data preparation, however, can quickly transform raw information into reliable, consistent data sets ready for analysis. This report from Gartner details why information management and business analytics leaders must introduce data preparation into their big data initiatives in order to improve both the understanding of the data, and the productivity of analysts. Read the report now to learn more.
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datawatch, data preparation, data analytics, data analysis, analyst productivity, information management, business analytics, big data
    
Datawatch
Published By: Palo Alto Networks     Published Date: Sep 30, 2016
Virtualization is helping organizations like yours utilize data center hardware infrastructure more effectively, leading to a reduction in costs and improvements in operational efficiencies. In many cases, virtualization initiatives begin internally, with your own hardware and networking infrastructure augmented by tools like VMware® or Linux® KVM and OpenStack® to help manage your virtualized environment.
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palo alto, virtualization, cloud, firewall, security, digital
    
Palo Alto Networks
Published By: IBM     Published Date: Jan 19, 2017
The benefits of moving data to the cloud are touted everywhere, but doing so without an information governance plan in place can cause more problems than it solves. Information governance (IG) is increasingly cited as one of the top five initiatives for companies to tackle over the next two years.
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ibm, analytics, ecm, information governance, cloud
    
IBM
Published By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
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ibm, unified governance strategy, data management, data governance
    
IBM
Published By: IBM     Published Date: Oct 17, 2017
The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.
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IBM
Published By: Datastax     Published Date: May 15, 2017
Customer experience might be a relatively new term, but the concept goes back millennia. In Ancient Greece, the retailer’s relationship with the customer was deep and personal, and that’s because the seller knew almost every customer extremely well. What happened? Mass distribution and mass marketing, for one. But now, thanks to technology, we are returning to being able to form a deep, personal relationship with the customer. Read this eBook to learn about the retailer’s journey from knowing the customer to depersonalization to using powerful technology to go back to the types of vendor-buyer relationships that existed thousands of years ago.
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datastax, customer experience, buying initiatives
    
Datastax
Published By: Datastax     Published Date: May 15, 2017
The customer is no longer king – she’s ruler, dictator, and autocrat. What’s clear is that the old paradigm of “customer service” is out and the new paradigm of customer experience is in. But companies are being too slow to capitalize on technology to improve customer experience. Read this new commissioned thought leadership paper conducted by Forrester Consulting on behalf of DataStax to learn why real-time data should be driving your customer experience decisions, why customer obsession is an imperative for success, why most companies are still missing the mark with CX, and six key recommendations to get your CX engine running.
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datastax, customer experience, digital, buying initiatives
    
Datastax
Published By: Datastax     Published Date: Aug 23, 2017
A holistic approach to using customer data to enable data-driven decisions for attracting, retaining, and delivering value through customer experience is what is going to drive many business initiatives over the next 12-month period. Though they each have varying degrees of capability to transform their customer experience applications and remain continuously available no matter what is critical to their success. Companies surveyed are eager to deliver a great customer experience and capture market share, but many CX journeys are hindered by business unit siloes, insufficient budget, and technical challenges. The responses provide key insights into the business priorities, challenges, and data technology needs of companies embarking on or in the midst of their CX journey.
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datastax, customer data
    
Datastax
Published By: Datastax     Published Date: Jun 26, 2018
When you think enterprise ecommerce in the Right-Now Economy, you need to know that it all starts with a distributed cloud database built for hybrid cloud. From Safeway to eBay to Macy’s to Sony, leading companies across industries use DataStax to power their ecommerce initiatives. Read this ebook for a look into exactly how they use us and the results they’ve achieved.
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Datastax
Published By: Datastax     Published Date: Aug 27, 2018
When you think enterprise ecommerce in the Right-Now Economy, you need to know that it all starts with a distributed cloud database built for hybrid cloud. From Safeway to eBay to Macy’s to Sony, leading companies across industries use DataStax to power their ecommerce initiatives. Read this ebook for a look into exactly how they use us and the results they’ve achieved.
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Datastax
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