data strategy

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Published By: Experian     Published Date: Jun 01, 2018
Better data insight is the key to becoming a more informed, profitable company. Download this white paper to understand: -How to overcome challenges you may have with your data management strategy -What improvements you should make that will make the biggest impact -The importance of being proactive rather than reactive to data quality issues
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Experian
Published By: Reltio     Published Date: May 21, 2018
Effective May 25, 2018, General Data Protection Regulation (GDPR) will represent the most rigorous data protection regulation ever. Complying is not optional, and the penalties are very high. As companies scurry for total compliance, it makes sense to pause, assess, and use this opportunity not only for compliance but for managing customer data efficiently and gainfully. Reltio proposes ten simple steps to ensure your data management strategy is ready for GDPR, not just for assured compliance but going beyond and enabling better customer experiences and building business competence.
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Reltio
Published By: Bitwise     Published Date: Apr 30, 2018
Organizations that adopt an enterprise data lake model for real-time, self-service and advanced analytics require a fresh approach and outlook to develop a Data Governance strategy as Hadoop changes the way that organizations ingest and store data, as well as how business partners access and use data. This paper outlines pillars for Hadoop Data Governance and Security that provide a framework that can be applied to any company.
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Bitwise
Published By: CA Technologies     Published Date: Oct 22, 2015
As the interest in managing information and enforcing corporate data management policies increases, data governance programs to manage data sets are becoming more and more vital to the business operation. However, in this rush for data governance programs, sometimes the true utility and importance of metadata can be missed. In this white paper, David Loshin of Knowledge Integrity, Inc. discusses the importance of data governance and the role of metadata management as a way to empower data governance and enforce data policies.
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white paper, metadata, data management, data modeling, david loshin, data governance, data governance strategy
    
CA Technologies
Published By: Embarcadero     Published Date: Jan 23, 2015
There are multiple considerations for collaborating on metadata within an organization, and you need a good metadata strategy to define and manage the right processes for a successful implementation. In this white paper, David Loshin describes how to enhance enterprise knowledge sharing by using collaborative metadata for structure, content, and semantics.
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data, data management, metadata, enterprise information management, data modeling, embarcadero
    
Embarcadero
Published By: Cloudant - an IBM Company     Published Date: Jun 01, 2015
Whether you're a DBA, data scientist or developer, you're probably considering how the cloud can help modernize your information management and analytics strategy. Cloud data warehousing can help you get more value from your data by combining the benefits of the cloud - speed, scale, and agility - with the simplicity and performance of traditional on-premises appliances. This white paper explores how a cloud data warehouse like IBM dashDB can reduce costs and deliver new business insights. Readers will learn about: - How data warehousing-as-a-service helps you scale without incurring extra costs - The benefits of in-database analytics in a cloud data warehouse - How a cloud data warehouse can integrate with the larger ecosystem of business intelligence tools, both on prem and off prem
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nosql, ibm, dashdb, database, cloud
    
Cloudant - an IBM Company
Published By: Trillium Software     Published Date: Mar 29, 2016
We are living in a new age in which your business success depends on access to trusted data across more systems and more users faster than ever before. However, your business information is often incomplete, filled with errors, and beyond the reach of people who need it. Whether you’re responsible for technology or information strategy, you need to enable your business to have real-time access to reliable information. Otherwise, your company will be left behind. Download Trillium’s whitepaper, “How to Succeed in the New Age of Data Quality”, to learn how you can create a successful data quality strategy.
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Trillium Software
Published By: Trillium Software     Published Date: Apr 10, 2017
For the 11th consecutive year, the Gartner Magic Quadrant for Data Quality Tools1 research report positions Trillium Software as a leader in the Data Quality Software industry. Data Quality is vital to ensuring trust in your data-driven, decision making business processes. Confidence is the result of a well thought out and executed data quality management strategy and is critical to remaining competitive in a rapidly and ever-changing business world. The 2016 Gartner Magic Quadrant for Data Quality Tools report is a valuable reference, providing the latest insights into the strengths and cautions of leading vendors. Access the report to learn how a leading data quality solution can help you achieve your long-term strategic objectives.
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Trillium Software
Published By: T4G     Published Date: Mar 15, 2017
About to embark on an advanced analytics project? Or have already started and things aren’t going as planned? This white paper will share our approach to ensure you set up for success. We will discuss aspects of data strategy and data stewardship, and why they are so important. We will outline the benefits of having a solid data strategy and how to start the data strategy conversation within your organization. We will then outline how a project’s entry point (the initial impetus for the project) impacts the scope and approach for the project. And will show you how to avoid missteps and gaps that can lead to less than stellar results or wasted effort. The white paper will touch on the importance of understanding your business drivers and how to use them as your guide to get the most out of your data driven decision making projects. Our proven approach will help ensure a successful start on your advanced analytics journey.
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T4G
Published By: Experian     Published Date: Nov 03, 2015
It is critically important for businesses today to leverage data as a strategic asset, instead of allowing it to become an obstacle. As more and more organizations are trying to make smarter, data-driven decisions, they are discovering that their data management strategy may not be as mature as it needs to be. One major shift we are seeing is the implementation of a Chief Data Officer. Experian Data Quality recently conducted a research study of more than 250 Chief Information Officers (CIOs) and Chief Data Officers (CDOs) in the US about their data management practices, and the explosion of the CDO role. Key insights in the report include: - Tips for overcoming typical data challenges within your organization - The changing data management landscape and its affect on the CIO - The new and growing need for the CDO - And more!
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Experian
Published By: birst     Published Date: Jan 21, 2013
This white paper discusses why Big Data matters – and analyses a tiered approach and strategy to launch a successful Big Data initiative.
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big data, white paper, analytics, data management
    
birst
Published By: Data Blueprint     Published Date: Apr 02, 2014
Organizations maintain data-based assets in hopes of successfully employing them in support of strategy. In an attempt to provide valued products and/or services, a customer relationship management (CRM) strategy should attempt to improve what is known about the wants and needs of existing customers. An organization may desire to transfer its inventory to its suppliers and to only play the role of transaction broker. A third strategy might be to use data to obtain significant efficiencies from productions/operations, ensuring a low cost advantage.
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data, data management, data value, return on investment, white paper
    
Data Blueprint
Published By: DigiCert     Published Date: Jun 19, 2018
Regulatory compliance is more than a series of rules to adhere to, and getting it right could save you time and money. Historically, compliance has been regarded as a checklist of fixed requirements. But this reactive outlook risks being too short-sighted. It can lead to higher compliance costs, audit deficiencies, greater business downtime and an increased risk of data loss. Furthermore, it can lead to missed opportunities to achieve greater levels of operational effectiveness for your business. The only way to achieve a greater level of operational efficiency is to adopt a proactive strategy and stay ahead of the compliance curve.
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DigiCert
Published By: Evariant     Published Date: Jul 02, 2018
When call center agents don’t have access to an EMR, consumer demographic, sociological and other data, nor an understanding of marketing campaigns, agents are inefficient, reactive and unable to personalize interactions with patients and consumers. The disjointed call center experience harms the health system’s ability to find, guide, and keep patients for life. The call center is often the first touch for many prospective healthcare customers, and Scripps Health recognized these challenges. They made the pivot from call center as cost center to strategic lynch pin in their patient experience strategy. Call center agents are now delivering a world-class patient experience as they provide physician referrals, take class registrations, and serve as a clearing house for general information . An added bonus of the shift is they can now integrate outbound calling into campaign efforts, and measure the full impact of marketing efforts and strengthen marketing’s ROI. Get your free copy of
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call center, conversions, health, proactive
    
Evariant
Published By: IBM     Published Date: Jul 02, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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IBM
Published By: Oracle     Published Date: Apr 02, 2018
Deciding on a data management platform (DMP)? From audience scale to business strategy, you need to get to the core of a provider’s offerings before signing on the dotted line. Oracle Data Cloud created this checklist of the top seven questions you should ask any DMP provider. Download our checklist today to get your hands on the most important questions!
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dmp, platform, management, oracle, data, cloud
    
Oracle
Published By: TrendKite     Published Date: Apr 25, 2018
Today’s marketers are leveraging technology and data to drive decision making: demand gen, marketing communications, and other disciplines can strongly demonstrate their value with metrics that summarize tangible bottomline impact on the business. That hasn’t been true for PR. In PR, we’re still tied to legacy metrics that are more about counting mentions and ‘clips’ than about measuring business impact.
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public relations, marketing, martech, pr strategy
    
TrendKite
Published By: dinCloud     Published Date: Jun 19, 2018
Too often, the debate about IT is dominated by a narrow focus on near-term objectives: shrill cries claim that the business will stop (or fail) if a feature isn’t added to the ecommerce site, if the mobility platform isn’t improved, if the network and compute back end aren’t upgraded, if storage and database performance isn’t accelerated. Often, these changes are truly essential, and demand immediate attention. However, midmarket firms can’t assemble a meaningful strategy from point responses to near-term issues. Increasingly, midmarket enterprises are finding that continued operational success requires an “agile-cloud” – an agility-oriented, cloud-based IT strategy that addresses the three core changes faced by midmarket firms: the changing nature of business infrastructure, the accelerating pace of change in business, and the expanding scope of IT.
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virtual, data, centers, services
    
dinCloud
Published By: Workday UK     Published Date: Mar 07, 2018
As the finance function moves further into the digital era, one of the biggest questions CFOs are asking is, “Are we ready?” Technology advancements and the proliferation of data are dramatically reshaping the role of the finance function. As companies face increasing competition and ongoing change, they expect finance to leverage technology and turn data into insights they can use to guide strategy and support decision-making.
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Workday UK
Published By: EverString     Published Date: Jul 10, 2018
Account-Based Marketing (ABM) is gaining traction as the viable compliment to traditional sales and marketing efforts. ABM allows sales and marketing teams to be more personalized and targeted for the accounts that matter most to their business. In this ebook we will take you through: - The foundation of Account-Based Marketing - Why ABM has become so popular - How to select your target accounts - How to build a data-backed ABM strategy - How to implement an ABM strategy
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EverString
Published By: SAP     Published Date: Dec 14, 2010
While your competitors sit back, download this free paper to learn how to cut costs, boost profits, build loyalty, and solve a myriad of day-to-day business challenges.
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sap, data strategy, competitive data, reduce costs, increase profits, employee improvement, business performance, business intelligence, data integration
    
SAP
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 firm’s business objectives.
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Hewlett Packard Enterprise
Published By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools, analytical applications
    
SAP
Published By: Veritas     Published Date: Sep 30, 2016
This paper summarizes the trends that have made modernizing backup and recovery an urgent priority, the key requirements for solution offerings, and the unique capabilities of Veritas NetBackup™ Appliances in delivering a simple, complete, and cost-effective solution.
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Veritas
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
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