data driven

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Published By: Bluekai     Published Date: Aug 10, 2012
Publishers today live in a data-driven world. It is no longer enough to simply create content, build audiences, and sell ads.
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data management platform, bluekai, supply-side platforms, audience engagement, audience extension, audience analytics, data management, data center
    
Bluekai
Published By: Teradata     Published Date: Apr 30, 2014
Knowledge is power. And for marketers, there is no greater knowledge than understanding your customers. What would you do if you knew you always had the right data to gain insight on your customers and your related marketing efforts? Get your data working for you Download our whitepaper today!
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teradata, marketing, data driven marketing, connecting to customers, higher revenue, customer experience
    
Teradata
Published By: Teradata     Published Date: Apr 30, 2014
In the past decade, banks have applied a vast array of strategies to attract new customersfree checking, high interest savings, low interest mortgage, cash deposits, and product give-a-ways. Many offers were bundles with credit, either in the form of a new credit line or in the form of low interest on transferred credit balances. The purpose is to attract new customers who bring new account balances. Although successful in attracting new customers, those customers usually brought small balances. It didnt matter if each accounts balance was small. The sum of these small account balances would be a very large amount. This new amount could be leveraged into loans and hence profits. Download our whitepaper today!
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teradata, marketing, data driven marketing, connecting to customers, higher revenue, customer experience
    
Teradata
Published By: Turn     Published Date: Jan 07, 2014
In this study from Forbes Insights and Turn, learn what privacy means to marketers and consumers.
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big data, privacy, security, data-driven marketing, b2c consumer privacy
    
Turn
Published By: Teradata     Published Date: Mar 10, 2014
How the following topics help marketers in a data driven way: The Rise of Big Data, Big Data Myth, Global Perspective, Strategic Alignment, Where to Begin, The Right Technology, and Customer Success.
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teradata, data-driven marketing, rise of big data, big data myth, global perspective, strategic alignment, right technology, customer success
    
Teradata
Published By: Teradata     Published Date: Mar 10, 2014
A look at the importance of customer data-who they are, what they do, what they're interested in, what motivates them-in creating a holistic customer view. This paper looks at how data-driven marketing creates more loyal and more satisfied customers.
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teradata, customer view, data-driven marketing, loyalty, customer satisfaction, analytics, customer engagement, digital marketing
    
Teradata
Published By: HP     Published Date: Jan 20, 2015
Today's data landscape brings enormous opportunity to organizations to derive insights from all their data. Learn how government departments, agencies, public healthcare providers, and educational institutions can harness the value of Big Data today.
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big data, hp haven, scalable, secure data platform, ecosystem, security
    
HP
Published By: Castlight Health     Published Date: May 02, 2014
This white paper reveals data-driven insights to help you create a strategic communications plan that includes: creative, cost-effective incentives promoted through repeated communications, a robust, multi-media digital promotion strategy paired with on-the-ground advocates at all levels, internal leadership participation to encourage adoption
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castlight health, driving employee engagement, health plans, healthcare decisions, company healthcare coverage, incentives, internal leadership
    
Castlight Health
Published By: Red Hat     Published Date: Jun 09, 2014
Read this whitepaper to learn how Red Hat Storage Server allows CIOs to confidently support business growth, manage cost and risk, capitalize on emerging technologies, and drive future innovation across their organizations.
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red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platform, big dataa
    
Red Hat
Published By: Red Hat     Published Date: Jun 09, 2014
Read this whitepaper to find out how application architects can quickly and confidently deliver long-lasting applications that minimize cost, complexity, and risk while increasing architectural flexibility with Red Hat Storage Server, an open, software-defined storage platform.
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red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platforms
    
Red Hat
Published By: Red Hat     Published Date: Jun 09, 2014
Read this whitepaper and learn how administrators are keeping up by guiding their enterprises toward new, software-defined storage platforms that simplify and unify storage capacity across the enterprise and into the cloud.
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red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platforms, it management
    
Red Hat
Published By: Adobe     Published Date: Jun 26, 2019
Put your data in the hands of those who need it most, so they can act quickly to deliver great customer experiences. And a better bottom line. Data is no longer the domain of a few. Everyone in your organization should be thinking about it. And more importantly, acting upon it. This means taking data insights out of the realm of data scientists and making them a natural part of everyones workflow from the marketing department to the executive team. To seize and capitalize on the data you already have, its important for analysts and marketers to rethink datashifting from a reporting mindset to an action mindset. 74% of organizations want to be data driven, yet only 29% say theyre good at connecting analytics to action.
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Adobe
Published By: Red Hat     Published Date: Jun 10, 2014
Read this whitepaper to learn how Red Hat Storage Server allows CIOs to confidently support business growth, manage cost and risk, capitalize on emerging technologies, and drive future innovation across their organizations.
Tags : 
red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platform, big dataa
    
Red Hat
Published By: Red Hat     Published Date: Jun 10, 2014
Read this whitepaper to find out how application architects can quickly and confidently deliver long-lasting applications that minimize cost, complexity, and risk while increasing architectural flexibility with Red Hat Storage Server, an open, software-defined storage platform.
Tags : 
red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platform, it management
    
Red Hat
Published By: Red Hat     Published Date: Jun 10, 2014
Read this whitepaper and learn how administrators are keeping up by guiding their enterprises toward new, software-defined storage platforms that simplify and unify storage capacity across the enterprise and into the cloud.
Tags : 
red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platforms, it management
    
Red Hat
Published By: Oracle     Published Date: Jul 08, 2015
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: Gigaom     Published Date: Sep 16, 2019
Weve heard it before. A data warehouse is a place for formally-structured, highly-curated data, accommodating recurring business analyses, whereas data lakes are places for raw data, serving analytic workloads, experimental in nature. Since both conventional and experimental analysis is important in this data-driven era, were left with separate repositories, siloed data, and bifurcated skill sets. Or are we? In fact, less structured data can go into your warehouse, and since todays data warehouses can leverage the same distributed file systems and cloud storage layers that host data lakes, the warehouse/lake distinctions very premise is rapidly diminishing. In reality, business drivers and business outcomes demand that we abandon the false dichotomy and unify our data, our governance, our analysis, and our technology teams. Want to get this right? Then join us for a free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guest, Dav
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Gigaom
Published By: Datastax     Published Date: Apr 04, 2017
As the big data ecosystem continues to expand, new technologies are addressing the requirements for managing, processing, analyzing, and storing data to help companies benefit from the rich sources of information flowing into their organizations. From NoSQL databases to open source projects to commercial products offered on-premises and in the cloud, the future of big data is being driven by innovative new approaches across the data management lifecycle. The most pressing areas include real-time data processing, interactive analysis, data integration, data governance, and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.
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evolution, big data, technology, datastax, nosql
    
Datastax
Published By: Epson     Published Date: May 10, 2018
Online, mobile, omnichannel, untethered, data mining, automation, and remote communication are all now buzzwords surrounding the new technologies and resources financial institutions have to help them re-invent their branch experience. Capabilities are available today that were not imagined a decade ago. This is an exciting time for those institutions that can look to the future and enhance their offerings. While technology is driving change, it can also be a tremendous challenge for financial institutions as they work to keep pace and even take advantage of the dramatic shift in customer needs and expectations. Millennials, baby boomers, small businesses all are important market segments with very different wants and needs. Driven by technology, the new demand is for a complete online presence, complemented by more flexibility in personalized services, and specialized expertise available in every branch. Suffice it to say, financial institutions of all sizes and in every geography a
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Epson
Published By: Kronos     Published Date: Jul 26, 2017
When it comes to time, there never seems to be enough. Just ask any payroll professional. Time constraints are nothing new, but what is new is how payroll professionals are tackling the challenge. They are discovering how to strategically leverage todays best-of-breed human capital management (HCM) technology to better manage the expectations and demands placed on todays payroll teams to achieve greater business results. By investing in an HCM solution as an integral part of their workforce management strategy, businesses can align and create efficiencies within three core areas of payroll compliance, processes, and data visibility. This will free up time for an already over-burdened payroll team that can add value, deliver on actionable real-time data, and execute on company-driven projects that can impact organizational goals and improve bottom-line results.
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payroll, human capital management, workforce management, compliance, processes, data visibility
    
Kronos
Published By: Anaplan     Published Date: Nov 27, 2017
"The pressure on sales to meet and exceed ever-increasing revenue targets is higher than ever before. At the heart of this challenge lies a complex analytical and modeling problem that involves data spread across many rigidand usually disconnectedsystems, teams, and geographies. Leading companies handle this problem by focusing first on creating a sales performance plan that is data-driven and tied to business objectives. The research report conducted by Harvard Business Review provides you with how today's sales executives: Overcome technology weaknesses to uncover sophisticated analytics Change ingrained, cultural tendances of sales organizations Adopt dynamic practices to respond to change quicker"
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Anaplan
Published By: Anaplan     Published Date: Mar 29, 2018
Incentive compensation represents the potential of delivering optimal sales results. But with up to 60% of sales reps income coming from incentive comp, it is crucial to get this right. Our study data has shown that ineffective compensation structures can lead to disengaged reps, high turnover, money left on the table, and low margins. The way we have designed and managed incentive compensation plans in the past may inhibit the sales force and prevent the business from scaling at the needed rate. Modeling and planning quickly become too complex for a spreadsheet-driven exercise.
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optimization, compensation, structures, anaplan, data
    
Anaplan
Published By: Infosys     Published Date: Sep 09, 2019
Infosys has embarked on a transformational journey to reinvent the way it and its clients do business. Like our most visionary clients, Infosys' goal is to become a completely knowledge- and data-driven organization, with agility built into its DNA so that it can quickly sense changing business needs and continuously evolve in response. But we are not there yet, and the road is challenging. We are envisioning Infosys to be a Live Enterprise powered by the Infosys Digital Platform. The vision with the digital platform is to provide everyone who uses it with a frictionless digital experience wherever they are in the world. Anytime, anywhere access will be completely scalable and secure, and will feature online and offline compatibility in a flawless, employee-centric manner.
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Infosys
Published By: Ephesoft     Published Date: Apr 04, 2018
If you have worked in an Accounts Payable department, you know that the premise of most AP functions is number-driven and data-driven. Invoices come in, they are processed and money goes out. While it may sound easy, the process requires special attention to details, numbers, data entry, approvals and other business processes. Organizations that use innovative, smart document capture solutions now have a simple way to streamline invoicing, improve accuracy and increase productivity.
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Ephesoft
Published By: Snowflake     Published Date: Jan 25, 2018
"The forces that gave rise to data warehousing in the 1980s are just as important today. However, history reveals the benefits and drawbacks of the traditional data warehouse and how it falls short. This eBook explains how data warehousing has been re-thought and reborn in the cloud for the modern, data-driven organization."
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Snowflake
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