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Cut Time, Cut Cost, and Cut Loss with Cloud-Based Continuity Solutions from HP

Published By: HP Enterprise Services     Published Date: Apr 02, 2014
A video explaining how high-end replication and fail over solutions used to be economical only for stock exchanges and other similar environments, but not anymore. Find out how HP can help you cut recovery time and data loss with a cloud-based disaster recovery solution that is less than you would think.
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disaster recovery, business continuity, recovery services, resiliency services, recovery-as-a-service, cloud continuity, networking, security
    
HP Enterprise Services

Cybersecurity for Small Business

Published By: Code42     Published Date: Feb 28, 2018
Disaster Recovery Plan Roadmap Learn how automatic backup delivers guaranteed business data protection and recovery—no matter the threat. When ransomware hits, the average small business experiences two full days of downtime. One-third of businesses lose revenue and all experience brand and loyalty damage that’s harder to quantify. To stop the bleeding, most small businesses end up paying at least $2,500 to get their data back. But paying the ransom doesn’t guarantee anything. Plenty of businesses have fully complied with the ransom demands, only to have the ransomer increase the ransom request—or simply take off with the ransom and the data.
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Code42

Data Analytics to Combat the Opioid Epidemic

Published By: SAS     Published Date: Jan 17, 2018
We have conditioned patients not only to expect opioids for pain relief, but to utilize more and more of them, and the addiction is both psychological and physical. To remedy the situation, a lot of policies and practices and behaviors must change around how the health care system approaches pain. But we do not yet have the data and analytics we need to determine what specifically to do at the patient level or the policy level. Download this whitepaper to learn more about the resources available and how we can fix this issue.
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SAS

Data and Analytics to Combat the Opioid Epidemic

Published By: SAS     Published Date: Aug 03, 2016
On an average day, 78 Americans die from opioid overdose. Last year’s total was almost 30,000 deaths, roughly two-thirds involving prescription opioids (including Percocet, Vicodin, Hydrocodone, Oxycodone, Oxycontin), the rest involving heroin. The United States, with about 5 percent of the global population, consumes 80 percent of the prescription opioids. The problem affects people of all backgrounds and across the socioeconomic spectrum; the Center for Disease Control (CDC) has officially declared it an epidemic.
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best practices, data, technology, analytics, business analytics, business intelligence, business management, business technology
    
SAS

Data Driven: The Analytics Journey in Health Care and Life Sciences

Published By: SAS     Published Date: Nov 04, 2015
In a panel discussion at the 12th annual SAS Health Analytics Executive Forum in May 2015, leaders from Dignity Health, Horizon Blue Cross Blue Shield of New Jersey, Janssen Pharmaceuticals and SAS shared what they have done to prove the value of analytics to their business leaders – and what has worked for them as they developed an analytic culture in their organizations and put analytic insights to work.
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sas, healthcare, healthcare models, episode analytics, analytics, data management
    
SAS

DATA ELEVATES THE CUSTOMER EXPERIENCE

Published By: SAS     Published Date: Aug 03, 2016
Today’s customer experience requires a combination of individualized insights, connected interactions and an agile approach to meet customers in the channel of their choosing. This means more than simply doing the same things over in the new channels. It requires new ways of exploring customer trends and preferences, and being smarter about responding to these factors.
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technology, best practices, productivity, data, competitive advantage, business analytics, business intelligence, business management
    
SAS

Data Elevates the Customer Experience

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

Data Informed: Enrich Your Data with Location Analytics

Published By: SAS     Published Date: Mar 06, 2018
Better health care at lower costs, for everyone – how do health care providers get there? Understanding the gaps in patient care, patient needs, and the geographic distribution of the patient population are important elements to consider when making decisions about improving the quality of care and reducing its costs. To effectively analyze gaps in patient care, the data needs to be in a single place or system. However, in many organizations, data is spread across a myriad of spreadsheets and database systems. Data not organized for visual exploration and coherent analysis isn’t useful for decision making. Hence the need for visually appealing and scalable analytical tools to help organizations be more efficient, effective and economically successful.
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SAS

Data Informed: Enrich Your Data with Location Analytics

Published By: SAS     Published Date: Mar 06, 2018
Location data is found everywhere – with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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SAS

Data Integration déjà vu: Big Data Reinvigorates DI

Published By: SAS     Published Date: Jun 06, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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SAS

Data Integration déjà vu: Big Data Reinvigorates DI

Published By: SAS     Published Date: Aug 28, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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SAS

Data Lakes, Purposes, Practices, Patterns and Platforms

Published By: SAS     Published Date: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
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SAS

Data Lakes, Purposes, Practices, Patterns and Platforms

Published By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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SAS

Data Management for Artificial Intelligence

Published By: SAS     Published Date: Aug 28, 2018
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
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SAS

Data Management for Artificial Intelligence

Published By: SAS     Published Date: Jan 30, 2019
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
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SAS

Data Management in Action: Solving Real World Challenges

Published By: SAS     Published Date: Apr 25, 2017
No matter what your initiative, accurate data is where to start if you want to make the best possible decisions. There’s certainly no lack of data. But simply having lots of data won’t necessarily help you answer big questions, understand problems or make faster, better decisions. To achieve competitive advantage, maintain profitability or satisfy customers, you must be able to act on what the data tells you.
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SAS

Data management in action: solving real world challenges

Published By: SAS     Published Date: Mar 06, 2018
As your organization struggles with growing volumes and sources of data, increasingly complex regulatory requirements, and pressure to do more with fewer resources, SAS Data Management can help. How? Our solution helps you make sense of your data so you can make better decisions. Then you can take the right actions to improve customer experience, boost revenue, become more efficient and remain compliant
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SAS

Data management in action: solving real world challenges

Published By: SAS     Published Date: Aug 28, 2018
You may know some basics about data management, but do you realize the transformational results data-management-done-right can produce? This paper explains core data management capabilities, then describes how a solid data management foundation can help you get more out of your data. From getting fast, easy access to trustworthy data to making better decisions and becoming a data-driven business, you’ll learn why good data management is essential to success. Multiple real-world examples illustrate how SAS customers have used data management to improve customer experience, boost revenue, remain compliant and become more efficient.
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SAS

Data Management: A Unified Approach

Published By: SAS     Published Date: Sep 13, 2013
Effective, Unified Data Management Strategies Depend on it and Business users Working Together.
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sas, data management, unified approach, unified data management, business intelligence, business analytics software, software development, it management
    
SAS

Data Management: What you Need to Know and Why

Published By: SAS     Published Date: Apr 25, 2017
Just as consumers have adopted their own tools and habits to better manage their lives, the technology-driven advances at work will lead to utility and better ways of getting things done. It is a journey more than a destination and one that requires participation and ownership across different levels of your organization. A basic holistic view of data management initiatives and practices will put you on a productive course and help to keep you there.
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SAS

Data Management: What You Need to Know and Why

Published By: SAS     Published Date: Jan 17, 2018
Executives, managers and information workers have all come to respect the role that data management plays in the success of their organizations. But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this e-book you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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SAS

Data Management: What You Need to Know and Why

Published By: SAS     Published Date: Sep 19, 2018
We are offering this second edition resource as a business oriented, working guide to core data management practices. In this ebook you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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SAS

Data Mining with Qualitative and Quantitative Data

Published By: SAS     Published Date: Apr 13, 2011
Learn how organizations are using data mining to solve their problems, including a $1 billion decision that produced positive results.
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data mining, qualitative data, quantitative data, john f. elder, data quality, sas, bottom-line
    
SAS

Data Protection and Backup: Questions to Consider When Creating Your Disaster Recovery Plan

Published By: StorageCraft® Technology Corporation     Published Date: Jun 23, 2011
When it comes to data protection and recovery, many businesses are not as safe as they believe. Read on to find out what you should consider when creating your backup and disaster recovery plan.
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storagecraft, recovery, backup, cloud, strategies, smb, protection, security
    
StorageCraft® Technology Corporation

Data Protection with ViPR: Redefining Disaster Recovery for Software-Defined Storage

Published By: EMC Corporation     Published Date: Dec 01, 2014
Data is changing the way organizations manage, consume, and deliver storage. Many legacy applications, however, are still in traditional storage silos, where data is tied to specific vendor storage and not easily configurable and monitored. EMC ViPR is the lightweight, software-only solution that centralizes, automates, and transforms storage into a simple, extensible and open platform.
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data protection, availability, disaster recovery, easy configurable, vendor storage, data center
    
EMC Corporation
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