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Data Management

Data Management comprises all the disciplines related to managing data as a valuable resource. Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise.
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By: IBM     Published Date: Jul 15, 2016
This Market Guide helps CISOs identify emerging data-centric audit and protection tools. IBM is positioned with a centralized management console approach across multiple silos and has coverage of all the key capabilities evaluated by Gartner.
Tags : ibm, gartner, data, dcap, data-centric audit protection, security, enterprise applications, data management
     IBM
By: IBM     Published Date: Jul 15, 2016
The growth of virtualization has fundamentally changed the data center and raised numerous questions about data security and privacy. In fact, security concerns are the largest barrier to cloud adoption. Read this e-Book and learn how to protect sensitive data and demonstrate compliance.
Tags : ibm, data, security, virtualization, data management
     IBM
By: IBM     Published Date: Jul 15, 2016
As big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to balance data security and quality reduces confidence in decision making. Read this e-Book for tips on securing big data environments.
Tags : ibm, data, security, big data, data management
     IBM
By: IBM     Published Date: Jul 14, 2016
This video describes how data scientists, analysts and business users can save precious time by using a combination of SPSS and Spark to uncover and act on insights in big data.
Tags : ibm, data, analytics, predictive business, ibm spss, apache spark, coding, data science
     IBM
By: IBM     Published Date: Jul 14, 2016
IBM SPSS Solutions offer a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end.
Tags : ibm, big data, data analytics, ibm spss, predictive business, enterprise applications, data management, data center
     IBM
By: IBM     Published Date: Jul 14, 2016
Focusing on SaaS, this IDC report details considerations to help optimize your cloud security model to align with business requirements.
Tags : ibm, idc, ciso, cloud security, saas, networking, enterprise applications, data management
     IBM
By: Oracle     Published Date: Jul 13, 2016
The in-store experience is changing dramatically. Not long ago it was straightforward and transactional: consumers would go into a store and, if it stocked what they wanted, would buy. If it didn’t, they would walk out, but their options to go elsewhere were often restricted by distance, choice and convenience. In this issue of Beyond Retail, we look at how the Point of Sale is changing to deliver a modern in-store experience, and how it can help retailers keep pace with the changing habits of their customers. We also explore how changes in PoS technology can affect store layout and the role of PoS in bridging the online and offline retail experience.
Tags : oracle retail, point of sale, point of service, pos, customer experience, best practices, beyond retail, pos technology
     Oracle
By: IBM     Published Date: Jul 12, 2016
Informative infographic featuring case management and data capture solutions to put the customer experience first.
Tags : ibm, ecm, data analytics, analytics, big data, customer experience, enterprise applications, data management
     IBM
By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. 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.
Tags : ibm, idc, big data, data, analytics, information governance, data management, data center
     IBM
By: IBM     Published Date: Jul 08, 2016
This paper from Osterman Research, explores the origins of the "information problem" many organizations are now facing and presents a detailed discussion of how to calculate your current information costs as well as how to calculate the ROI of an information governance program.
Tags : ibm, osterman, roi, big data, data, analytics, information governance, data management
     IBM
By: IBM     Published Date: Jul 08, 2016
Read this Forrester whitepaper to learn more about the critical, yet often overlooked, role that data classification and data discovery can play in reducing your organization’s risk and enhancing security.
Tags : ibm, forrester, data discovery, big data, data, analytics, information governance, data management
     IBM
By: IBM     Published Date: Jul 08, 2016
Forrester Consulting study that explores the hypothesis that modern businesses require enterprise content management (ECM) platforms that can offer faster deployment capabilities and operational flexibility in order to meet their shifting business objectives.
Tags : ibm, analytics, forrester, ecm, ecm platforms, enterprise content management, enterprise applications, data management
     IBM
By: IBM     Published Date: Jul 08, 2016
This ebook takes you on a journey to discover a cloud-based content management solution that provides greater visibility and collaborative control over business content. Meet Mike, an IT Solutions Executive, looking for an innovative way to collaborate that's secure, easy to use, immediate and accessible -- all while meeting strict governance policies.
Tags : ibm, analytics, ecm, ecm platforms, enterprise content management, box integration, cloud management, enterprise applications
     IBM
By: IBM     Published Date: Jul 06, 2016
Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
Tags : ibm, big data, trusted data, data management, data solutions, data center
     IBM
By: IBM     Published Date: Jul 06, 2016
Built using the IBM® InfoSphere® Information Server, IBM BigInsights® BigIntegrate and BigInsights BigQuality provide the end-to-end information integration and governance capabilities that organizations need.
Tags : ibm, big data, ibm infosphere, ibm biginsights, ibm bigintegrate, ibm bigquality, data management, data quality
     IBM
By: IBM     Published Date: Jul 06, 2016
How can your organization realize the financial benefits of the cloud while ensuring information culled from cloud sources is secure and trustworthy? The answer is governance. Download to read more.
Tags : ibm, big data, trusted data, data management, data solutions, data center
     IBM
By: IBM     Published Date: Jul 06, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Tags : ibm, mdm, big data, ibm infosphere, data management, data center
     IBM
By: IBM     Published Date: Jul 06, 2016
Five high-value uses for big data: IBM has conducted surveys, studied analysts’ findings, talked with more than 300 customers and prospects and implemented hundreds of big data solutions. As a result, it has identified five high-value use cases that enable organizations to gain new value from big data.
Tags : ibm, mdm, big data, trusted data, data solutions, data management, data center
     IBM
By: IBM     Published Date: Jul 06, 2016
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
Tags : ibm, mdm, big data, data management, data matching, customer analytics, data center
     IBM
By: IBM     Published Date: Jul 06, 2016
IBM commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study and examine the potential return on investment (ROI) enterprises may realize by leveraging IBM InfoSphere Information Integration and Governance (IIG) solutions.
Tags : ibm, total economic impact, tei study, roi, return on investment, big data data optim, ibm infosphere, data management
     IBM
By: IBM     Published Date: Jul 06, 2016
While the term 'big data' has only recently come into vogue, IBM has designed solutions capable of handling very large quantities of data for decades. IBM InfoSphere Information Server is designed to help organizations understand, cleanse, monitor, transform and deliver data.
Tags : ibm, ibm infosphere, big data, data optim, data management, data center
     IBM
By: IBM     Published Date: Jul 06, 2016
This e-book describes how a data refinery can make trusted data available quickly and easily to people and systems across your organization. It includes simple steps you can take to start exploring - and implementing - this strategy for handling the challenges of hybrid data environments.
Tags : ibm, trusted data, data optim, big data, hybrid data environments, data management, data center
     IBM
By: Commvault     Published Date: Jul 06, 2016
ENDPOINT DATA. It’s often one of the most forgotten aspects of an enterprise data protection strategy. Yet, content on laptops, desktops and mobile devices is among a company’s most valuable data even while it’s potentially at the greatest risk. According to IDC there will be some 1.3 billion mobile workers by 2015. However, only half of enterprises today are using some type of endpoint backup. That means that the volume of endpoint data that is in jeopardy is nothing short of significant. Download to read the buyer's checklist on endpoint data protection!
Tags : commvault, endpoint data protection, endpoint data, data protection, backup, encryption, data loss prevention, mobile app
     Commvault
By: Commvault     Published Date: Jul 06, 2016
How do you maintain the security and confidentiality of your organization’s data in a world in which your employees, contractors and partners are now working, file sharing and collaborating on a growing number of mobile devices? Makes you long for the day when data could be kept behind firewalls and employees were, more or less, working on standardized equipment. Now, people literally work on the edge, using various devices and sending often unprotected data to the cloud. This dramatic shift to this diversified way of working has made secure backup, recovery and sharing of data an exponentially more difficult problem to solve. The best approach is to start with a complete solution that can intelligently protect, manage and access data and information across users, heterogeneous devices and infrastructure from a single console - one that can efficiently manage your data for today's mobile environment and that applies rigorous security standards to this function.
Tags : commvault, mobile data, file sharing, backup recovery, access, personal cloud approach, data protection, endpoint
     Commvault
By: Commvault     Published Date: Jul 06, 2016
Today, nearly every datacenter has become heavily virtualized. In fact, according to Gartner as many as 75% of X86 server workloads are already virtualized in the enterprise datacenter. Yet even with the growth rate of virtual machines outpacing the rate of physical servers, industry wide, most virtual environments continue to be protected by backup systems designed for physical servers, not the virtual infrastructure they are used on. Even still, data protection products that are virtualization-focused may deliver additional support for virtual processes, but there are pitfalls in selecting the right approach. This paper will discuss five common costs that can remain hidden until after a virtualization backup system has been fully deployed.
Tags : storage, backup, recovery, best practices, networking, it management, enterprise applications, data management
     Commvault
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