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data governance

Results 151 - 175 of 192Sort Results By: Published Date | Title | Company Name
By: IBM     Published Date: Jan 14, 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.
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ibm, biginsights, bigintegrate, bigquality, data, ecosystem, governance, integration, enterprise applications, data management
    
IBM
By: IBM     Published Date: Apr 04, 2016
White paper discusses how to secure the gateway to your organization with robust and integrated identity governance solutions from IBM
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ibm, data security, risk management, data management, identity governance, security, knowledge management, enterprise applications, network security
    
IBM
By: IBM     Published Date: Apr 04, 2016
Identity governance is essential for oganizations to ensure the security of their IT systems and data as well as compliance with laws and regulations. Identity governance enables organizations manage IT related business risk and enable business compliance in consistent, efficient and effective manner. It adds value, reduces costs and improves security
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ibm, identity governance, risk control, risk management, data security, security, knowledge management, enterprise applications, network security
    
IBM
By: IBM     Published Date: Oct 18, 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, enterprise applications, data management
    
IBM
By: IBM     Published Date: Oct 18, 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, enterprise applications, data management
    
IBM
By: IBM     Published Date: Oct 18, 2016
The worldwide growth rate of digital data is staggering. If you're a CIO or a data center administrator, data growth statistics aren't just big numbers, they are a big problem -- for your company. Email messages, social media and blog posts, text and instant messages, photos, video and audio, machine-generated data, and transactional detail are on track to overwhelm your storage capacity. Read this paper for practical advice and smarter solutions for managing the information in your organization and getting back to a position of mastery over your data. Get this valuable resource now.
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ibm, analytics, big data, information governance, ecm, information lifecycle governance, knowledge management, enterprise applications, data management
    
IBM
By: IBM     Published Date: Oct 21, 2016
By next year over half of all US companies will formally support BYOD, bringing on the challenge of securing data and applications on devices that may often be in the hands malicious users, or worse – teenagers looking to win a game of Pokémon Go with mom’s work iPhone. And, thanks to the consumerization of IT, mobile users increasingly expect the same smooth user experience with business applications that is provided by popular games and consumer applications. Fortunately, increased mobility and the bring your own device explosion don’t always add up to increased security challenges and UI/UX struggles. This Tech Byte series will look at the most important considerations when planning a mobile strategy – from application development platform to security and governance to user interface guidelines, and present best practices that businesses of all kinds can use to help ensure a successful shift towards a mobile-first enterprise.
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ibm, mobile, mobile security, devices, platform to device, networking, enterprise applications, mobile computing, mobile data systems, wireless application software
    
IBM
By: IBM     Published Date: Oct 21, 2016
By next year over half of all US companies will formally support BYOD, bringing on the challenge of securing data and applications on devices that may often be in the hands malicious users, or worse – teenagers looking to win a game of Pokémon Go with mom’s work iPhone. And, thanks to the consumerization of IT, mobile users increasingly expect the same smooth user experience with business applications that is provided by popular games and consumer applications. Fortunately, increased mobility and the bring your own device explosion don’t always add up to increased security challenges and UI/UX struggles. This Tech Byte series will look at the most important considerations when planning a mobile strategy – from application development platform to security and governance to user interface guidelines, and present best practices that businesses of all kinds can use to help ensure a successful shift towards a mobile-first enterprise.
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ibm, cloud, mobility, enterprise, mobile applications, mobile application strategy, networking, enterprise applications, mobile data systems, wireless application software
    
IBM
By: IBM     Published Date: Jan 09, 2017
As security threats increase and government regulations require more control over users and data, it is important for organizations to evolve their security measures. By aligning governance related policies and rules with all identity management processes, organizations can achieve continuous, sustainable compliance, thereby reducing the need for after the fact fixes and expensive, error prone manual remediation. IBM Security Identity Governance and Intelligence helps organizations effectively, comprehensively manage identities and application access
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ibm, security, identity governance and intelligence, identity governance, enterprise applications
    
IBM
By: IBM     Published Date: Jun 05, 2018
Keeping up with ever changing contract management work is challenging. Governing legal and procurement content is written by thousands of people and applied to hundreds of situations. To stay compliant, organizations employ knowledgeable professionals to analyze every sentence to determine the changes that need to be made to company contracts. The manual process of sifting through these dense, complicated documents is inefficient and prone to error. Watson Compare and Comply is trained on contract specific knowledge and classifications and can streamline contract workflows through semantic understanding. Join Director of Watson Offering Management, Adam Orentrichler, and Chief Data Scientist of SAP Ariba, David Herman, as they discuss how Watson can transform the way your company manages contract governance.
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IBM
By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
This eBook introduces all the components of the Oracle Data Integration Platform including Cloud Big Data and Governance.
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Oracle PaaS/IaaS/Hardware
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
By: SAS     Published Date: Aug 28, 2018
Starting data governance initiatives can seem a bit daunting. You’re establishing strategies and policies for data assets. And, you’re committing the organization to treat data as a corporate asset, on par with its buildings, its supply chain, its employees or its intellectual property. However, as Jill Dyché and Evan Levy have noted, data governance is a combination of strategy and execution. It’s an approach that requires one to be both holistic and pragmatic: • Holistic. All aspects of data usage and maintenance are taken into account in establishing the vision. • Pragmatic. Political challenges and cross-departmental struggles are part of the equation. So, the tactical deployment must be delivered in phases to provide quick “wins” and avert organizational fatigue from a larger, more monolithic exercise. To accomplish this, data governance must touch all internal and external IT systems and establish decision-making mechanisms that transcend organizational silos. And, it must provi
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SAS
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: 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: IBM     Published Date: Jan 09, 2014
According to Dr. Barry Devlin of 9sight Consulting, the truth behind all the talk about big data and the possibilities it can offer is not hard to see, provided that organizations are willing to return to the principles of good data management processes.
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ibm, big data, 9sight consulting, data, it management, maximize business, deployment, business opportunities, big data usage, data warehouse, data center, business analytics, big data offerings, core business data, analytic data, puredata system, data virtualization, data integration, data types, data quality
    
IBM
By: IBM     Published Date: Nov 19, 2014
According to a recent survey by the Compliance, Governance and Oversight Council, almost 70% of the electronic content and information organizations retain has no business or legal value. It’s simply digital detritus, retained because 1) we think we might need it sometime, 2) we forget about it, or 3) we don’t have policies and software in place to get rid of it. Ultimately, though, this unnecessary accumulation of content can create real problems in terms of e-discovery, regulation, management and cost. Watch this video white paper to learn more about: - How to get started on an information management strategy - The right combination of software and policy for successful information governance - The business case for proactive management of an organization’s digital footprint
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compliance, governance, oversight, digital debris, data cleanup, legacy data cleanup, information management, information management strategy, information governance
    
IBM
By: IBM     Published Date: Jan 14, 2015
Bloor Research investigated several key critical success factors for big data analytics. Their findings show that governance, data cleansing, and privacy and security have never been more important. Read this paper to see their conclusions.
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big data, data management, data exploration, gain visibility, security extension, business intelligence, explore data, data analytics
    
IBM
By: IBM     Published Date: Apr 06, 2015
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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big data, analytics, unstructured content, enterprise information, ibm, security, it management, knowledge management, storage, data management
    
IBM
By: IBM     Published Date: Apr 06, 2015
With a data explosion upon us that shows no slowing in sight, information governance is no longer an option for corporations. IBM StoredIQ is an important first step toward getting data under control, lowering storage costs and mitigating risk.
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information governance, ibm storediq, risk, storage, data management, security, it management, knowledge management
    
IBM
By: SAS     Published Date: May 12, 2016
This paper examines the barriers to adoption from an IT and end-user perspective, and shows how self-service analytics in general – and SAS Visual Analytics in particular – can eliminate these barriers. Self-service analytics empowers users to truly exploit the wealth of data available to them, while ensuring that the IT organization maintains governance and control over that data.
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sas, business analytics, it organization, networking, it management, wireless, data management
    
SAS
By: SAS     Published Date: Apr 25, 2017
If you’re in the data world, you know it’s full of discord. Multiple data sources, inconsistent standards and definitions, inaccurate reports and a lack of governance are enough to derail any organization. What’s an enterprise architect to do? With the right data governance and master data management (MDM) solution, you can set and enforce policies and establish a consistent view of your data without micromanaging it. You can eliminate duplicate and inconsistent data. You can combine traditional data and new big data sources – like streaming data from the IoT – into one harmonious view. Read this e-book for expert advice and case studies that will show you new ways to manage your big data – and make sure everyone’s on the same page.
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SAS
By: SAS     Published Date: Apr 25, 2017
Your company’s culture is indispensable in informing the right way to govern data, a point we hope to drive home in this white paper. When you review the mistakes that otherwise earnest companies have made in their quests to apply rigor to their data, you’ll see why our mantra is: There is no template for data governance. And hopefully, you’ll realize what you need to do now.
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SAS
By: SAS     Published Date: Jun 05, 2017
For organizations to succeed with the onslaught of devices, sensors and tools that innovation garners, data must no longer be treated as a byproduct but instead as an asset. And data-driven innovation must start at the top. That's what Michael Schrage, Fellow at MIT Sloan School's Initiative on the Digital Economy, said during the Harvard Business Review webinar, Leadership and Big Data Innovation. Find out why data experimentation, governance and culture are part of the next leadership challenge for organizations.
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SAS
By: Tableau Software     Published Date: Dec 12, 2014
A new generation of business intelligence emerges as the expectation for user-friendly analytics and the expertise to ask and answer questions with data continues to grow. The wave of innovation is far from over. This paper highlights the top trends in business intelligence for 2015.
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tableau, business intelligence, business management, data management, analytics, top trends, data governance, data journalism, the cloud, cloud data, cloud computing
    
Tableau Software
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