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data governance

Results 1 - 25 of 191Sort Results By: Published Date | Title | Company Name
By: Forcepoint     Published Date: Jun 06, 2019
Today’s employees demand greater flexibility, productivity, and mobility. And while cloud and BYOD policies have answered that call, they’ve also added unforeseen complexities the way IT manages data security and compliance. How can you balance productivity and risk in SaaS environments? “A Guide to Achieving SaaS Security and Compliance” deconstructs the idea that cloud security and user productivity are mutually exclusive. This whitepaper includes guidance on how to: Select SaaS providers that follow the very same external standards (e.g., PCI DSS) as your organization. Apply the same in-house security, governance, and compliance principles to cloud services. Leverage tools and processes to gain visibility, control access, and protect data in your SaaS environment.
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Forcepoint
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: Group M_IBM Q2'19     Published Date: Apr 03, 2019
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.
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Group M_IBM Q2'19
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: Mar 20, 2019
What’s on the chief data and analytics officer’s agenda? Defining and driving the data and analytics strategy for the entire organization. Ensuring information reliability. Empowering data-driven decisions across all lines of business. Wringing every last bit of value out of the data. And that’s just Monday. The challenges are many, but so are the opportunities. This e-book is full of resources to help you launch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly data-driven with best practices from TDWI, see what an open approach to analytics did for Cox Automotive and Cleveland Clinic, and find out how the latest advances in AI are revolutionizing operations at Volvo Trucks and Mack Trucks.
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SAS
By: Hitachi Vantara     Published Date: Mar 08, 2019
Consider the key trends driving the modernization of the data infrastructure: focus on governance, mobilization and analytics. And take a look at the technologies that make up modern data infrastructure, including artificial intelligence (AI), flash storage, converged and hyperconverged platforms, and software-defined infrastructures. Read this e-book to observe the key trends driving the modernization of data infrastructure and see how organizations are adapting and flourishing in a data-driven world.
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Hitachi Vantara
By: NTT Data APAC     Published Date: Jan 16, 2019
NTT Data services has over 600+ BI experts and over 250+ implementations in India, receiving high accolades from Gartner and AMR research. NTT Data Services offers Industry focused offerings and pre-configured models. Some of our offerings include: - Guided Analytics Strategy - Proven Framework & Methodology for ‘C’ level executives - Solution lab for Co-Innovation and Proof of Concepts - Advisory Services - BI Transformations, Big Data Strategy, Information Governance, Health Checks - Proprietary Tools & Accelerators – System Optimization, Architect to Archive, User Adoption - Flexible Delivery - Rapid Development Factory, Shared Services Find more details in this deck.
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NTT Data APAC
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: 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: SAS     Published Date: Jan 04, 2019
How can you open your analytics program to all types of programming languages and all levels of users? And how can you ensure consistency across your models and your resulting actions no matter where they initiate in the company? With today’s analytics technologies, the conversation about open analytics and commerical analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics technology systems within your organization. As we think about the entire analytics life cycle, it’s important to consider data preparation, deployment, performance, scalability and governance, in addition to algorithms. Within that cycle, there’s a role for open source and commercial analytics. For example, machine learning algorithms can be developed in SAS or Python, then deployed in real-time data streams within SAS Event Stream Processing, while also integrating with open systems through Java and C APIs, RESTful web services, Apache Kafka, HDFS and more.
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SAS
By: Rubrik EMEA     Published Date: Jan 04, 2019
Rubrik Cloud Data Management is a single, unified software platform to manage your physical, virtual, and cloud data. With Rubrik, enterprises can drastically simplify their data protection processes, automate workflows, and migrate data to the cloud. The results are powerful: faster recoveries, easier management, no forklift upgrades, and hard dollars saved for other projects. Organizations pursuing cloudfirst policies can use Rubrik to archive to the cloud, create cloud DR capabilities, or perform cloud-native backup. And with Rubrik’s Polaris SaaS platform, it has never been easier to unify data across data centers and clouds, simplifying operations and governance. DATA
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data, cloud, application, management, software, databases, servers, user, sql
    
Rubrik EMEA
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: AWS     Published Date: Dec 17, 2018
Watch this webinar to hear from AWS data governance experts and the leadership teams at Okta and Etleap. Learn how your organization can create unified, compliant, and analyst-friendly data repositories on AWS.
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AWS
By: Reltio     Published Date: Nov 20, 2018
Modern Master Data Management (MDM) is more than an extension of your data governance strategy. See how Reltio is taking MDM to the next level with its data platforms in AWS and Google Cloud.
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Reltio
By: Paxata     Published Date: Nov 14, 2018
This eBook provides a step-by-step best practices guide for creating successful data lakes.
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data lakes, governance, monetization
    
Paxata
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: Tenable     Published Date: Nov 06, 2018
"What steps should you take to enable the effective and secure use of public cloud services? According to Gartner, “CIOs need to ensure their security teams are not holding back cloud initiatives with unsubstantiated cloud security worries. Instead, they should encourage their teams to apply imagination and energy to develop new approaches to securely and reliably leverage the benefits of SaaS, PaaS and IaaS.” By reading, “Clouds Are Secure: Are You Using Them Securely?,” you will gain insight into Gartner’s recommended practices for effective and secure adoption of public cloud services, including: Develop an enterprise cloud strategy, including guidance on what data can be placed into which clouds and under what circumstances. Implement and enforce policies on cloud ownership, responsibility and risk acceptance by outlining expectations for form, significance and control of public cloud use. Follow a life cycle approach to cloud governance that emphasizes the operational control of
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Tenable
By: AWS     Published Date: Oct 31, 2018
Watch this webinar to learn how a financial services organization uses a simple, comprehensive data governance solution from Dataguise to discover, protect, and monitor sensitive personal data in real time across all its Amazon Web Services (AWS) data repositories, and to prepare for GDPR compliance.
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financial, services, organization, gdpr
    
AWS
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: 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: 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: 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: 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: SAS     Published Date: Aug 28, 2018
With the amount of information in the digital universe doubling every two years, big data governance issues will continue to inflate. This backdrop calls for organizations to ramp up efforts to establish a broad data governance program that formulates, monitors and enforces policies related to big data. Find out how a comprehensive platform from SAS supports multiple facets of big data governance, management and analytics in this white paper by Sunil Soares of Information Asset.
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SAS
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