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Published By: Entrust Datacard     Published Date: Jun 09, 2017
The rapid adoption of Office 365 means that work created using the Microsoft product contains a large amount of the business world’s sensitive information. In fact, in most enterprises using Office 365, more than half of that highly valuable information — including business plans, sales data, product designs, M&A details and financial forecasts — is contained within Excel, PowerPoint, Word, Outlook and other Microsoft software. Securing the information created with its products has emerged as a primary concern for CSOs, CIOs, IT departments and other C-level executives.
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Entrust Datacard
Published By: Forrester     Published Date: May 10, 2012
In the never-ending race to stay ahead of the competition, companies are developing advanced capabilities to store, process, and analyze vast amounts of data from social networks, sensors, IT systems, and other sources to improve business intelligence and decisioning capabilities.This report will help security and risk professionals understand how to control and properly protect sensitive information in this era of big data.
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data-centric security, information protection, information management, data protection, security, risk and compliance, data warehousing, application security
    
Forrester
Published By: HP     Published Date: Feb 02, 2015
Everyone agrees that data is the lifeblood of any business. Just think how tense you get when your laptop crashes and you realize you have not saved that critical document. Or put yourself in the shoes of your company’s sales teams when they suddenly find themselves unable to access information related to a deal in the pipeline at the end of the quarter because it is corrupted or went missing because of a database or server issue. Data protection is—and always will be—a constant concern.
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HP
Published By: Delphix     Published Date: Sep 10, 2014
Most data masking products can create masked data copies but not distribute or update them, resulting in projects that fail to live up to expectations. Learn why Delphix’s Agile Masking solution is the only product that solves both masked data creation and delivery challenges.
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secure data, digitization, data breaches, privacy regulations, sensitive data, internal, customer information, application landscapes
    
Delphix
Published By: Visier     Published Date: Jan 30, 2015
Until recently, ConAgra Foods struggled to collect accurate, analyzable data about its workforce. Information was spread across the organization in siloed systems within various departments and was often difficult to reconcile. In a few short years, however, ConAgra Foods has been able to leverage technology solutions to gain real-time insights into its employee data and can now analyze its workforce across a wide range of subject areas. Download this case study to see how ConAgra Foods transformed the role of HR through analytics, and to get guidance on how your organization can adopt a similar approach.
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visier, conagra, workforce, hr analytics, real-time insights, human resources
    
Visier
Published By: HP     Published Date: Feb 11, 2015
Everyone agrees that data is the lifeblood of any business. Just think how tense you get when your laptop crashes and you realize you have not saved that critical document. Or put yourself in the shoes of your company’s sales teams when they suddenly find themselves unable to access information related to a deal in the pipeline at the end of the quarter because it is corrupted or went missing because of a database or server issue. Data protection is—and always will be—a constant concern.
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HP
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: MarkLogic     Published Date: Mar 17, 2015
You’ve probably heard about NoSQL, and you may wonder what it is. NoSQL represents a fundamental change in the way people think about storing and accessing data, especially now that most of the information generated is unstructured or semi-structured data — something for which existing database systems such as Oracle, MySQL, SQLServer, and Postgres aren’t well suited. NoSQL means a release from the constraints imposed on database management systems by the relational database model. This free eBook, Enterprise NoSQL for Dummies, MarkLogic Special Edition, provides an overview of NoSQL. You’ll start to understand what it is, what it isn’t, when you should consider using a NoSQL database instead of a relational database management system and when you may want to use both. In addition, this book introduces enterprise NoSQL and shows how it differs from other NoSQL systems, as well as explains when NoSQL may not be the right solution for your data storage problem. You’ll also learn the NoSQ
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enterprise, nosql, relational, databases, data storage, management system, application, scalable
    
MarkLogic
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
For many years, traditional businesses have had a systematic set of processes and practices for deploying, operating and disposing of tangible assets and some forms of intangible asset. Through significant growth in our inquiry discussions with clients, and in observing increased attention from industry regulators, Gartner now sees the recognition that information is an asset becoming increasingly pervasive. At the same time, CDOs and other data and analytics leaders must take into account both internally generated datasets and exogenous sources, such as data from partners, open data and content from data brokers and analytics marketplaces, as they come to terms with the ever-increasing quantity and complexity of information assets. This task is clearly impossible if the organization lacks a clear view of what data is available, how to access it, its fitness for purpose in the contexts in which it is needed, and who is responsible for it.
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Waterline Data & Research Partners
Published By: IBM Watson Health     Published Date: Jun 14, 2017
Electronic health records (EHRs) are necessary, but were not designed to anchor population health management (PHM). This is partly because they lack semantic interoperability, which is the ability of disparate information systems to share data and enable communications among users in a meaningful way. This paper explains how an approach that includes a care collaboration platform can manage population health by aggregating and normalizing the necessary data.
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ehr, ibm, health management, population health management, data aggregation, information systems
    
IBM Watson Health
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: BAE Systems     Published Date: Dec 29, 2015
This framework will help you decide which MSSP best meets the needs of your financial institution
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bae systems, applied intelligence, financial institution, managed security, managed security services, managed security service provider, mssp, data breach
    
BAE Systems
Published By: IBM     Published Date: Oct 21, 2016
The greatest challenge of the big data revolution is making sense of all the information generated by today's vast digital economy. It's well enough for an organization to collect every slice of data it can reach, but how does it extract value from this massive volume of information?
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ibm, analytics, data science, data, big data, aps data, aps, enterprise applications
    
IBM
Published By: Veritas     Published Date: Apr 06, 2016
Data protection has never been more in the forefront, as information increasingly is the lifeblood and differentiator in a constantly changing world. As the leader we see across the enterprise, which helps solve the larger information management problems that come from accelerating digital business. Keep up with the latest trends and use the following tips to maximize the value of your data protection investment —meeting more demanding SLAs, simplifying management across a complex IT environment, and reducing costs— so you can free up resources to innovate and create business value. Download this whitepaper to learn 8 tips to stay ahead of the top 2016 data protection trends.
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Veritas
Published By: Veritas     Published Date: May 12, 2016
The Data Genomics Index is a first-of-its-kind benchmark analysis of data stored within a typical enterprise environment. This report reveals insights into data growth, data age, and data type thereby providing organizations with the comparison standard for beginning to take action on their data. In addition to the Index, Veritas has founded the Data Genomics Project. This community of likeminded data scientists, industry experts and thought leaders will come together to surface the true nature of enterprise environments, build the data-genome that matters for information management, and share the discussion with a world struggling to solve tremendous data growth challenges.
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Veritas
Published By: Veritas     Published Date: May 12, 2016
Nearly 70% of all stored data contains no legal, regulatory, or business value. Intelligence about your information’s age, location, and ownership provides the roadmap to effective decision-making.
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Veritas
Published By: IBM     Published Date: Jan 13, 2017
As traditional network perimeters surrounding data centers dissolve, agencies face enormous difficulties fending off attacks using a patchwork of traditional security tools to protect classified or personally identifiable information (PII). Time and again, traditional security practices have proven porous and/or unsustainable. Read this i360Gov Book to understand the importance of: - Transforming federal fortifications into intelligence-driven defense - Intensifying focus on cyber intelligence -Needing a well trained cybersecurity force
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ibm, analytics, government, public sector, security, cyber threat, cyber threat analysis, risk
    
IBM
Published By: IBM     Published Date: Jan 19, 2017
The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, analytics, ecm, data, big data, information governance, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Jan 19, 2017
With organizations keeping larger and larger quantities of data the question will come up that given dropping storage costs, does uncontrolled data growth even matter? It does matter, and in this IBM publication featuring Gartner research you will learn about this ever growing problem and ways for information managers to address solutions.
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ibm, analytics, data, ecm, big data, information governance, enterprise applications, data management
    
IBM
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, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Jan 30, 2017
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
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ibm, talent analytics, cognitive computing, analytics, engagement, human resources
    
IBM
Published By: IBM     Published Date: May 09, 2017
This eBook takes you on a journey to outthink content chaos and discover how your industry can gain real value from your business content. Read how industry leaders are reflecting on the important challenges they face, and how they are finding innovative ways to collaborate and extract value from all forms of content to outpace those obstacles. Learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it, improving business performance and ROI.
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enterprise management, organization optimization, security management, malware protection, data protection, bug prevention, information management
    
IBM
Published By: IBM     Published Date: Aug 23, 2017
Banks today are continuously challenged to meet rigorous regulatory requirements. They must implement strict governance programs that enable them to comply with a wide variety of regulations stemming from the financial crisis that began in 2007, including the DoddFrank Act, Basel Committee on Banking Supervision regulations, the General Data Protection Regulation (GDPR), the Revised Payment Services Directive (PSD2) and the revised Markets in Financial Instruments Directive To keep pace with regulatory changes, many banks will need to reapportion their budgets to support the development of new systems and processes. Regulators continually indicate that the banks must be able to provide, secure and deliver high-quality information that is consistent and mature.
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risk mitigation, data aggregation, risk reporting, banking
    
IBM
Published By: IBM     Published Date: Nov 03, 2017
Ironically, the most important business decisions are too often based not on the best available data and analysis, but on the judgment calls of HIPPOs — the highest-paid people in the organization. In large part, these individuals became HIPPOs in the first place because, over the course of their professional careers, their intuition and gut feel has tended to be more right than wrong. This approach may have sufficed in simpler, slower-moving times. But modern enterprises are too connected and too fast-paced for important business decisions to be made strictly on individual intuition and gut feel. For better-informed decision-making, your organization’s decision-makers need timely access to information they can rely on.
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hippo, ibm, decision-makers, modern enterprise
    
IBM
Published By: Druva     Published Date: Oct 02, 2017
To best address HIPAA compliance, maintain productivity, and mitigate risk in the mobile age, HIPAA-regulated enterprises need to ensure high standards of data security and privacy on all endpoint devices that contain or have access to protected health information (PHI). Get this white paper to learn: What HIPAA means for data on endpoint devices Features you should look for when evaluating endpoint backup solutions How to maintain HIPAA compliance whether data is stored on-premise or in the cloud What other organizations are doing to comply with HIPAA/HITECH
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hipaa, hipaa compliance, risk mitigation, data security, endpoint devices, protected health information
    
Druva
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