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Data Stewardship Research

  • Become a Data Science Superhero in 6 Easy Steps!

    Sponsored by: TIBCO

    Read this e-book to discover 6 top skills you need to set yourself apart as a data scientist and how to hone them.

  • Sustainable Smart Cities and the Power of the IoT

    Sponsored by: TIBCO

    Interconnectivity and the Internet of Things has empowered industries like manufacturing and retail to utilize data more than ever before; next, the IoT is likely going to change cities. Read on to find out how smart cities can use today’s data infrastructure, the IoT, and TIBCO to innovate tomorrow’s cities, today.

  • How to unlock the true value of data

    Sponsored by: ComputerWeekly.com

    With a robust data architecture in place, a firm's data science team can turn raw data into business insight. We take a quick look at how this can be done.

  • No-deal Brexit: Ideal or Ordeal?

    Sponsored by: ComputerWeekly.com

    In this e-guide, we bring together the latest advice for businesses on what leaving the EU without a deal would mean for your data protection strategy.

  • How to unlock the true value of data

    Sponsored by: ComputerWeekly.com

    With a robust data architecture in place, a firm's data science team can turn raw data into business insight. We take a quick look at how this can be done.

  • No deal Brexit: Ideal or Ordeal?

    Sponsored by: ComputerWeekly.com

    In this e-guide, we bring together the latest advice for businesses on what leaving the EU without a deal would mean for your data protection strategy.

  • Security Big Data: Preparing for a Big Data Collection Implementation

    Sponsored by: SearchSecurity.com

    This expert e-guide from SearchSecurity.com offers realistic advice to help your enterprise information security team understand what technology and processes must be in place in order to properly and securely take advantage of big data.

  • IT in Europe - May 2012

    Sponsored by: SearchSecurity.com

    While network access control (NAC) technology seemed to disappear into the great beyond just a year ago, it is ready to resurface with a vengeance. However, the technology will need to resurge with better controls, especially as the consumerisation of IT and bring your own device (BYOD) trends overtake the enterprise.

  • Making Data Governance Work in the Real World

    Sponsored by: Data443

    In this expert e-guide, senior executive editor Craig Stedman reports on how data management teams increasingly are approaching governance in subtle ways to avoid being seen by business users as the data police.

  • Use Data Governance to Turn Unstructured Data into Value

    Sponsored by: SearchDataManagement

    Access this expert handbook to learn how to overcome the challenge of big data governance in the evolving IT landscape. Read on for important tips on popular topics including establishing corporate data standards, building effective governance frameworks, managing siloed data, and more.

  • Data Governance for the Enterprise

    Sponsored by: SearchBusinessAnalytics

    Data governance is all about managing data as a business asset and ensuring that data is accurate, consistent, integrated, timely, complete and secure. This report examines the market trends for implementing data governance.

  • Putting Data Governance and Stewardship Into Play

    Sponsored by: SearchDataManagement

    For a data governance plan to be truly effective, organizations must examine key success factors for data stewardship and data governance programs. In this expert three-part handbook, learn how to ensure that data governance and stewardship plans stick in your organization.

  • Successfully Scanning Shipping Container Codes

    Sponsored by: Intermec

    Read this case study to learn how a large European shipping company integrated an Intermec Imaging Solution to resolve issues associated with their manual recording process of container codes and estimates considerable man-hour savings and improved container code recording accuracy.

  • Big Data Security Analytics: Harnessing New Tools for Better Security

    Sponsored by: Hexis Cyber Solutions Inc

    New techniques are emerging to help organizations analyze security data and improve security defenses.

  • Security University: Data Loss Prevention

    Sponsored by: SearchSecurity.com

    The difference between suite and point product approaches; assessing what you'll focus on within your own organization, and pitfalls in DLP implementation. In this security school we'll examine real-world tactics to ensure a successful DLP deployment.

  • Data stewardship program: Quality booster, but a hard step for many

    Sponsored by: SAP America, Inc.

    Data stewards are central to the success of data governance programs. Without data stewards to facilitate the communications about data issues between IT and the business side, diverging data definitions, policies and quality controls can easily get out of control. This e-guide offers tips and best practices.

  • Successful data stewardship framework needs solid plan, firm focus

    Sponsored by: SAP America, Inc.

    Effective data stewardship is trickier than it seems, and is often hard to document and measure.This expert guide reviews the key tenets of planning and designing successful data stewardship programs. Read on to learn about 5 common pitfalls and concerns that organizations have to overcome.

  • Data stewardship central to data governance programs

    Sponsored by: SAP America, Inc.

    Access this E-guide to examine the important role of quality booster of a data steward. Learn the multiple hurdles to get over along the path to effective data stewardship. And discover how once you get over those hurdles, a well-executed data stewardship program can offer you clean, accurate and consistent data across your organization.

  • SearchDataManagement.com Tip Guide: Data Governance Trends for 2011: Scorecards and Data Governance Tools

    Sponsored by: IBM

    In this tip guide, gain insight on current data governance trends and their impact on implementing data governance tools from industry expert David Loshin.

  • Case Study: Park Nicollet Protects Vital SharePoint Data and Meets Compliance Objectives with DocAve

    Sponsored by: AvePoint, Inc.

    This case study describes how Park Nicollet Health Services was able to leverage AvePoint's DocAve to meet crucial compliance objectives and protect vital SharePoint data.

  • Step by Step: A methodology to information quality

    Sponsored by: Harte-Hanks Trillium Software

    Do you have an existing information quality strategy? While most organizations understand the need for data quality, they still face the challenge of implementing an effective strategy to provide information that aligns to business requirements. Register for this webcast and learn the 4 steps to a successful information quality strategy.

  • E-Book: Strategy Update: MDM in SAP environments

    Sponsored by: Winshuttle, LLC

    MDM has experienced a rise in popularity - with SAP planning to lead the market in master data synchronization to help customers achieve lower TCO in running SAP. Uncover SAP's multiple product approach to MDM as well as changes in SAP's MDM strategy and gain insight on how to design an MDM team for your SAP MDM implementation project.

  • E-Book: New trends and best practices for data governance success

    Sponsored by: Talend

    This eBook examines data governance trends and methodologies for managing governance programs. It covers issues such as new ways of organizing data governance teams and emerging best practices to help organizations succeed with enterprise data governance initiatives. It also provides expert advice on how to design and implement governance programs.

  • E-Book: Getting Started with Master Data Management (MDM)

    Sponsored by: SearchDataManagement

    In this e-book, learn about getting started with MDM programs, including how to sell the idea internally in order to secure funding and how to build a foundation for a successful MDM deployment. In addition, read about MDM trends and some of the challenges that companies can face on MDM implementations.

  • Top 10 Data Mining Mistakes

    Sponsored by: SAS

    In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.

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