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data governance

Results 51 - 75 of 191Sort Results By: Published Date | Title | Company Name
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.
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ibm, idc, big data, data, analytics, information governance, knowledge management, data management
    
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.
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ibm, osterman, roi, big data, data, analytics, information governance, knowledge management, 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.
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ibm, forrester, data discovery, big data, data, analytics, information governance, knowledge management, data management
    
IBM
By: IBM     Published Date: Oct 13, 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.
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ibm, total economic impact, tei study, roi, return on investment, big data, data governance, governance, ibm infosphere, data management
    
IBM
By: IBM     Published Date: Oct 13, 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.
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ibm, trusted data, data governance, governance, big data, hybrid data environments, data management
    
IBM
By: IBM     Published Date: Oct 13, 2016
Cloud-based data and processing services present too much opportunity for organizations to ignore. How can organizations realize the obvious financial benefits of the cloud while ensuring information culled from cloud sources is secure and trustworthy? Good hybrid information governance implies several priorities for IT and the business which are based on these foundational pillars: - Broad agreement on what information means - Clear agreement on how owned information assets will be maintained and monitored - Standard practices for securing strategic information assets - Enterprise data integration strategy
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ibm, trusted data, big data, governance, data governance, data management
    
IBM
By: IBM     Published Date: Oct 13, 2016
Who's afraid of the big (data) bad wolf? Survive the big data storm by getting ahead of integration and governance functional requirements 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.
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ibm, big data, trusted data, data management, data solutions
    
IBM
By: IBM     Published Date: Oct 13, 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.
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ibm, forrester, data, analytics, big data, ibm information integration, governance, data management
    
IBM
By: IBM     Published Date: Jan 27, 2017
Cloud- based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on- premises data with new third- party cloud- based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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IBM
By: IBM     Published Date: Jan 27, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, as discussed in “The truth about information governance and the cloud,” most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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IBM
By: IBM     Published Date: Apr 14, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on-premises data with new third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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data integration, lifecycle management, hybrid environment, cloud-based data, information governance, decision making
    
IBM
By: IBM     Published Date: Apr 18, 2017
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
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data integration, data security, data optimization, data virtualization, database security, data migration, data assets, data delivery
    
IBM
By: IBM     Published Date: Apr 13, 2018
Client-ready, globally applicable, a document setting out the IBM journey to GDPR Readiness
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gdpr, data, cloud, governance
    
IBM
By: KPMG     Published Date: Jul 10, 2018
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance looks like. Read this report to discover: • the four key anchors underpinning trust in analytics – and how to measure them • new risks emerging as the use of machine learning and AI increases • how to build governance of AI into core business processes • eight areas of essential controls for trusted data and analytics.
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KPMG
By: KPMG     Published Date: Jul 11, 2018
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance look like? Read this report to discover: • the four key anchors underpinning trust in analytics – and how to measure them • new risks emerging as the use of machine learning and AI increases • how to build governance of AI into core business processes • eight areas of essential controls for trusted data and analytics. Download the report now:
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KPMG
By: CA Technologies     Published Date: Jan 06, 2014
This report examines the issues around the adoption of cloud-based services and looks at the security technology that is being deployed by enthusiasts and why the avoiders are holding back.
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mediacom, cloud-based services, adopt the cloud, security of data, effective security, security technology, sensitive data, cloud avoiders, in-house deployments, cost of ownership, external interaction, identifiable data, security services, access management, identity governance, drivers and blockers, data management, infrastructure, application integration, change management
    
CA Technologies
By: Red Hat     Published Date: Sep 25, 2014
As a strategic partner in your business, you face increasing demands from your line-of-business leaders for new functionality and advanced capabilities, which you must deliver with a constrained IT budget. What could you do to meet these expectations and add value to the business if you could contain costs, increase operational efficiency, and do more with less? You need to overcome several challenges. The cost of software licensing management is rising as a result of maintaining proprietary platforms or legacy technology, making it difficult to modernize your datacenter and migrate to more cost-effective solutions. You’re likely burdened by regulatory compliance mandates, which create enforcement, reporting, and auditing expenses. And, like 67% of IT organizations, your budget is probably shrinking. Red Hat can help. Red Hat® Enterprise Linux® gives you the high-value subscription model, built-in governance processes, and simplified migration path you need to aggressively lower your
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increased demands, functionality, software licensing management, proprietary platforms, legacy technology, datacenter, it organization, it management, enterprise applications, data management
    
Red Hat
By: MarkLogic     Published Date: Jun 19, 2017
Integrate your data silos to finally navigate the data maze. This comprehensive white paper addresses a key element in any GRC program: regulatory compliance. Download this paper to learn about the costs, current practices, and associated risks. We’ll also recommend a technologically-enabled approach and highlight its main business benefits for financial services, insurance, and energy companies. Overview Executive Summary Compliance Requirements A Recommended Approach Business Benefits Regulatory Compliance Solution Architecture Related Materials
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banking, financial services, data management, silos, data strategy, transparency, data governance, regulation, data architecture, compliance, reporting, energy, insurance
    
MarkLogic
By: MarkLogic     Published Date: Jun 19, 2017
There is opportunity in the ongoing turbulence throughout the financial industry; however, regulatory and compliance challenges absorb resources and distract focus away from growth. Download white paper to learn about a smart approach to data and innovative tools that build resilience into a business looking to not just weather the storm, but seize the advantage. Overview: - Executive Summary - Challenges of Financial Markets Today - The Need for a 360-View of Data - How to Deliver: Increased Transparency Adapt to Evolving Regulations Improve Compliance and Lower Cost - Solution Architecture for Regulatory Reporting - Case Study: Adapting to Regulatory Complexity "Disparate systems led to frequent cycles spent correcting errors within the data”.
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banking, financial services, data management, silos, data strategy, transparency, data governance, regulation, data architecture, compliance, reporting
    
MarkLogic
By: MarkLogic     Published Date: Jun 21, 2017
Remember Y2K – the IT “problem” that should have brought businesses to a screeching half? Despite the hype, the preparation led to widely documented business benefits and uncovered new opportunities that transformed organizations worldwide. Similarly in today’s highly regulated Financial Services industry, enabling GRC by integrating data from silos can be the driver for future business use cases like machine learning and anti-fraud detection services. GRC can be your catalyst for new opportunities. Listen in as our panel of financial services experts discuss the keys to reinventing your data strategy. We’ll cover: How to align your GRC strategy with a business transformation agenda How to ensure your organization’s approach to data management isn’t just a one-off solution, but a comprehensive one adaptable to changing regulations How to navigate the increasing regulatory demands for granular data security How to turn your compliance spend into new opportunities to earn revenue
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banking, financial services, data management, silos, data strategy, transparency, data governance, regulation, data architecture, compliance, reporting, business transformation, fraud, digital transformation
    
MarkLogic
By: MarkLogic     Published Date: Jun 21, 2017
Global financial organizations are facing increasing demands from the business for more granularity, transparency, reporting and security. If you’re on the IT side, you know this adds a different set of ‘mores’ to the equation: More duplication, delays, and people. What’s the net-net? More cost and more risk. You can balance the scales to satisfy those demands. And it starts with thinking differently about data management. Our financial services technology experts will explore the implications of governance, risk and compliance (GRC) imperatives. You’ll learn: • Why data is at the heart of an effective and dynamic GRC strategy • Why technological capabilities used to enable standard GRC programs can reduce transparency and prevent you from gaining a holistic view of your data • A new approach to data can provide the business with complete transparency • Review a sample regulatory reporting architecture Stop burning time on tooling — and start building a dynamic GRC strategy that can
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banking, financial services, data management, silos, data strategy, transparency, data governance, regulation, data architecture, compliance, reporting
    
MarkLogic
By: Mimecast     Published Date: Oct 11, 2018
Information management is getting harder. Organizations face increasing data volumes, more stringent legal and regulatory record-keeping requirements, stricter privacy rules, increasing threat of breaches and decreasing employee productivity. Companies are also finding that their old-fashioned, legacy archive strategies are increasingly ineffective. This is driving many organizations to rethink their approach, developing more modern Information Governance strategies.
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Mimecast
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
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
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
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