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data governance

Results 76 - 100 of 192Sort Results By: Published Date | Title | Company Name
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
By: IBM     Published Date: May 23, 2017
This paper is on impact of the new features now available with version 11.1. It covers the use of DB2 within hybrid cloud environments.
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encryption, application development, operating system, market intelligence, data governance, data migration, data quality, ibm
    
IBM
By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
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ibm, unified governance strategy, data management, data governance
    
IBM
By: Datastax     Published Date: May 20, 2019
Hybrid cloud has arrived. Whether companies have intended to move to hybrid cloud or not, the hybrid cloud reality is here, and while the advantages are numerous, so are the challenges. From data governance to scaling real-time applications, this white paper explains the main issues enterprises typically face with hybrid cloud.
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Datastax
By: Druva     Published Date: Sep 27, 2017
Blue Hill Research examined how organizations are gaining greater value from their archive of user data, converging data availability, archiving and governance to increasingly meet their wider corporate needs. Learn how unifying data availability and governance is bringing increased utility to organizations.
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archiving, modern data, business cloud
    
Druva
By: Druva     Published Date: Nov 09, 2018
The rise of virtualization as a business tool has dramatically enhanced server and primary storage utilization. By allowing multiple operating systems and applications to run on a single physical server, organizations can significantly lower their hardware costs and take advantage of efficiency and agility improvements as more and more tasks become automated. This also alleviates the pain of fragmented IT ecosystems and incompatible data silos. Protecting these virtualized environments, however, and the ever-growing amount of structured and unstructured data being created, still requires a complex, on-prem secondary storage model that imposes heavy administrative overhead and infrastructure costs. The increasing pressure on IT teams to maintain business continuity and information governance are changing how businesses view infrastructure resiliency and long-term data retention—they are consequently looking to new solutions to ensure immediate availability and complete protection of the
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Druva
By: IBM     Published Date: Jul 09, 2018
As the information age matures, data has become the most powerful resource enterprises have at their disposal. Businesses have embraced digital transformation, often staking their reputations on insights extracted from collected data. While decision-makers hone in on hot topics like AI and the potential of data to drive businesses into the future, many underestimate the pitfalls of poor data governance. If business decision-makers can’t trust the data within their organization, how can stakeholders and customers know they are in good hands? Information that is not correctly distributed, or abandoned within an IT silo, can prove harmful to the integrity of business decisions. In search of instant analytical insights, businesses often prioritize data access and analysis over governance and quality. However, without ensuring the data is trustworthy, complete and consistent, leaders cannot be confident their decisions are rooted in facts and reality
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IBM
By: Group M_IBM Q418     Published Date: Oct 15, 2018
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data. Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
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Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Oct 23, 2018
The EU General Data Protection Regulation (GDPR) has arrived. Every company doing business with European customers — regardless of location — must make considerable governance, people, process, and technology changes to comply with the new rules. While companies have made progress, more work remains. To succeed, they must tackle key challenges, including data identification, mapping, and access management. Despite the work ahead, forward-looking businesses understand GDPR is an opportunity. This is a transformation for a data-savvy world, with the potential to yield enhanced customer and business benefits. Investment in solutions with data privacy, security, and compliance offerings that can protect data no matter where it’s stored — on-premises and in the cloud — can ease companies along their readiness journeys and help them achieve and sustain compliance from May 25, 2018, and onward
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Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Dec 18, 2018
A technology-enabled business strategy such as digital transformation (DX) makes it possible for firms to expand their competitive differentiation in the market. Although disruptive, DX requires firms to effectively and efficiently combine (technology) platforms, (business) processes, (data) governance, and (people) talent to gather deep and timely insights from data and actuate these insights to optimize business operations, develop new and innovative products and services, and transform customer engagement.
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Group M_IBM Q418
By: Group M_IBM Q119     Published Date: Dec 18, 2018
A technology-enabled business strategy such as digital transformation (DX) makes it possible for firms to expand their competitive differentiation in the market. Although disruptive, DX requires firms to effectively and efficiently combine (technology) platforms, (business) processes, (data) governance, and (people) talent to gather deep and timely insights from data and actuate these insights to optimize business operations, develop new and innovative products and services, and transform customer engagement.
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Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Jan 08, 2019
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
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Group M_IBM Q119
By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
The growing need for data governance, risk and compliance, data analysis and data value still drives strategic requirements in metadata management and the growth of its solutions. Data and analytics leaders can use this vendor evaluation to find the most appropriate solution for their organization.
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Group M_IBM Q2'19
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
By: MarkLogic     Published Date: May 07, 2018
Learn how Life Sciences organizations can accelerate Real World Evidence by achieving faster time to insight with a metadata-driven, semantically enriched operational platform. Real World Evidence (RWE) is today’s big data challenge in Life Sciences. Medical records, registries, consultation reports, insurance claims, pharmacy data, social media, and patient surveys all contain valuable insights that Life Sciences organizations need to ascertain and prove the safety, efficacy, and value of their drugs and medical devices. Learn how Life Sciences organizations can accelerate RWE with a metadata-driven, semantically enriched operational platform that enables them to: • Unify, harmonize and ensure governance of information from diverse data sources • Transform information into evidence that proves product efficacy and safety • Identify data patterns, connections, and relationships for faster time to insight
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data, integration, drug, device, manufacture, science
    
MarkLogic
By: BMC Software     Published Date: Jul 22, 2015
In this white paper, you’ll discover an enterprise approach to Big Data that leverages workload automation to: - Integrate Hadoop workflows into your enterprise processes to deliver new applications faster - Resolve issues faster with predictive analytics, automated alerts, and early problem detection - Achieve compliance and governance adherence
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big data, business processes, enterprise systems, hadoop, compliance
    
BMC Software
By: Blue Coat     Published Date: Feb 09, 2016
Lots of marketing claims are being made by Cloud Data Protection Gateway providers. It’s time for critical analysis. This Blue Coat paper reviews the key questions Security, Governance & Risk and IT should be asking vendors.
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Blue Coat
By: Hortonworks     Published Date: Apr 05, 2016
This white paper will help you evaluate your ability to protect your data in a Apache Hadoop ecosystem. Read on to learn ten signs that you might need to improve security and data governance in order to manage risk while getting more value out of your Apache Hadoop environment.
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Hortonworks
By: Alteryx, Inc.     Published Date: Sep 06, 2017
Organizations that want to apply consistent data management, governance and security practices across their organization can learn a lot from Ford Motor Company. Data-driven decision making led Ford Motor Company to perfect the vehicle assembly line in 1913. A century later, Ford had more than 4,600 data sources, and a wide range of analytical tools, methods, and processes in use throughout the company, and needed a more strategic approach to decision-making.
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Alteryx, Inc.
By: Dassault Systèmes     Published Date: May 09, 2018
More connected, informed and demanding customers have the financial services sector looking closely at their processes and products. Collaborative digital platforms can transform your value network and approach. • Improve data insights: Transform legacy systems, manual processes and data silos for consumer-centric collaboration. • Compete with agile FinTech startups: Use disruptive technologies to meet clients’ changing needs. • Empower me to make my own decisions: Give self-directed customers exceptional experiences, like rapid enrolment and self-assessment tools. • Turn regulatory compliance to competitive advantage: Use digitization to improve compliance, reduce risk and enhance governance. • Improve customer experience through digitization: Reduce regulatory issues, gain insights, increase efficiency and customer-centric innovation. I invite you to download your targeted industry analysis and uncover the expectations to take into account at every stage to be disruptive in the age o
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Dassault Systèmes
By: Hitachi Vantara     Published Date: Jan 11, 2019
Making sense of your data is one of the greatest challenges facing business today. Imagine a world where innovation and time-to-value are accelerated by AI and automation. Hitachi Vantara works at every point along the data value chain from analytics and insight, through intelligent governance to efficient, agile storage. Download this e-book to find out how to turn the business-enabling capital of the digital era into sustainable value.
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Hitachi Vantara
By: Oracle EPM     Published Date: Jul 28, 2015
Enterprise Data Governance is the future key to enabling both business and IT to manage change effectively as enterprises strive to adapt to the networked economy and become data-driven businesses.
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enterprise, data, governance, agile, best practices, business analytics, business intelligence, database development, data integration
    
Oracle EPM
By: Brainloop     Published Date: Nov 03, 2011
Online collaboration has allowed companies to leapfrog their competition. But how do they avoid risk? This paper explores options for high-productivity collaboration supporting security and compliance. Must reading for anyone interested in strategic IT and compliance!
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cloud collaboration, cloud security, collaboration application, collaboration environment, data protection, data room, digital rights management, document protection, document security, document sharing, electronic document management, file protection, governance, grc, information risk, it risk management, mergers acquisitions due diligence, mobile collaboration, online collaboration, online document sharing
    
Brainloop
By: Hitachi Vantara     Published Date: Aug 02, 2018
In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.
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data infrastructure, big data, internet of things
    
Hitachi Vantara
By: Winshuttle     Published Date: Apr 18, 2017
How can a finance and/or controller professional access SAP FICO data leveraging Microsoft Excel in a highly usable and interoperable fashion while respecting all of the SAP core security and governance controls? In order to fully explore this question, this white paper highlights five valuable ways to leverage Microsoft Excel to reduce Finance & Controller operational costs while making your SAP FICO systems implementation, management and maintenance life easier.
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Winshuttle
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