ComputerWeekly.com Research Library

Powered by Bitpipe.com

Data Quality Research

  • Pushing the Start Button on Information Lifecycle Governance

    Sponsored by: IBM

    Strong information governance ensures that big data remains an advantage for your company. It is important to realize that information governance improvement has to come slowly, in steps instead of strides. Read on to gauge your company's information governance maturity and how to set realistic goals.

  • The Game Changes: 10 Essential Elements for Truly Effective Compliance Programs

    Sponsored by: IBM

    Finding a way to make compliance effective is imperative and yet still elusive for many organizations. In this white paper from Steinberg Governance Advisors, Inc., learn what "effective" compliance really means by exploring 10 essential elements.

  • IBM Information Lifecycle Governance Maturity Assessment

    Sponsored by: IBM

    Increasing storage and maintenance costs, duplication of resources, the lack of trusted content, and exposure to risks and litigation are problems plaguing many enterprises today. So why are company's holding on to every bit of data? Take this assessment to determine your level of information governance maturity and see how much more you can grow.

  • Rethinking Data Discovery And Data Classification

    Sponsored by: IBM

    Many see data discovery and classification as a Sisyphean task. This Forrester report breaks down why S&R pros struggle with data discovery and security and advises how to best approach data classification moving forward.

  • Mitigate Model Risk and Reduce Model-Related Costs

    Sponsored by: SAS

    By establishing risk mitigation and cost reduction strategies targeted at model implementation and operation, you can easily identify models that are vital for guiding the direction of your business. Discover an approach to model risk management that supports your internal decision-making processes.

  • Visual Analytics for Improving Risk Calculation

    Sponsored by: SAS

    Banks are under pressure to meet compliance standards and improve risk calculation. Discover a software suite that provides you with big data analytics capabilities to implement these changes. Plus, find out how a tier 1 European bank implemented this software successfully and learn how you can improve data quality and visualization too.

  • Key Features and Functions of EMC Isilon in Big Data Workflows

    Sponsored by: EMC

    This white paper evaluates a scale-out data lake platform that provides robust multi-protocol ingest capabilities to make it easier to build a Big Data workflow in a data lake. Learn more about the key features of this solution and see how it can enable your enterprise to simplify your data management operations and keep your data secure.

  • NHS Hospitals Treat Patient Data as an Operational Asset, You Should Too

    Sponsored by: SAS

    For organizations to use data analytics effectively, they need to understand the deficiencies they're trying to solve and adopt the right tools to tell the right stories. Explore the technology and approaches NHS Trust Boards uses to collect, manage, and analyze both internal and external data, and make better decisions that ensure patient safety.

  • Simplifying Contract and Correspondence Creation

    Sponsored by: Accenture

    Simplifying the creation of documents and templates creates a standardized format for communications, something that most HR departments are missing. Read on to learn about the benefits of document composure technology, including flexibility, confidentiality, and more.

  • Case Study: Improving Data Quality and Compliance

    Sponsored by: Accenture

    In this white paper, see how the Timken Company has improved its HR data quality and compliance. Timken says that data is consistently accurate and up-to-date, their agility makes better use of IT resources, and the HR team controls data and reporting without reliance on IT.

  • Case Study: Improving Employee Data Quality

    Sponsored by: Accenture

    In this case study, one company adopted a tool powered by a cloud platform and discovered a number of critical data issues that would not have been found until much later in downstream business processes. Read on to learn about the other benefits ZS realized because of this data quality tool.

  • HR Tool Guide

    Sponsored by: Accenture

    HR departments need to utilize applications in order manage and track all of the information that comes to them. This guide breaks down three of the most essential HR applications, explaining their uses and benefits.

  • Data Quality Maturity is an Elusive Metric: Learn How to Measure It

    Sponsored by: Infogix

    Explore how you can provide a complete view of data issues and co-relate data quality metrics that are objectively collected through profiling. Discover how you can start trusting the integrity of your data and provide better content clarity.

  • Learn the Virtues of Data Classification for Remedying Dark Data Challenges

    Sponsored by: Infogix

    Research firm IDC states that up to 90% of big data environments today are made up of dark data. Learn how to define, understand, and identify dark data symptoms. Plus, explore ways to remediate dark data challenges and map your data into 4 categories to measure usage and derive value.

  • Why Do 75% of Core Upgrades Fail?

    Sponsored by: Infogix

    This e-book explores 3 common core system migration pitfalls that must be addressed to prevent project failure. Discover what migration approach is the best fit for you and access 5 key considerations before undertaking your project.

  • Simplifying HR Documents: Contracts and Correspondence

    Sponsored by: Accenture

    Digital technologies are reshaping the HR function by enabling new approaches in the delivery of employee documents. Discover how to simplify the processes of creating and distributing employee-related communications.

  • Why Data Quality is Vital for BCBS 239 Compliance

    Sponsored by: Infogix

    This e-book explores ways to create effective risk models in the absence of a universal scale for measuring data quality. You will learn how these models will help you comply with BCBS 239 guidelines by incorporating multiple data points, utilizing reconciliation checks, and more.

  • Data Diaries: A Hiring Guide for Building a Data-Driven Culture

    Sponsored by: Tableau Software

    In today's world, data is omnipresent. We use it to understand ourselves, our neighbors, and our surroundings better. That's why it's important to adopt a culture of self-service analytics. Get tips for fostering this culture and building a team with a data-driven way of thinking.

  • Ensuring Integrity of Financial Data Warehouse Information

    Sponsored by: Infogix

    Learn how a large insurance company overcame poor data integrity from its varied sources and platforms and gained consistent financial reporting from all sources, efficient, timely reconciliation between GL and data warehouse, and SOX compliance.

  • Case Study: How a Fortune 100 Company Automated Data Quality to Reduce Errors

    Sponsored by: Infogix

    In this case study, explore how a financial services company leveraged data analysis techniques to better manage its $500 billion in assets and improve data quality. Learn how you can implement this process to lower risk rate and automate your data quality.

  • The Modern Approach to Enterprise Analytics

    Sponsored by: Tableau Software

    The modern approach to analytics is self-service BI. It allows IT to become more strategic, enhances data visualization, and leads to better collaboration. Learn about the growing importance of fostering a culture of self-service analytics. Plus, discover how to bring better speed, value, and accuracy to your data analysis.

  • Data Diaries: How VMware Built a Community around Analytics

    Sponsored by: Tableau Software

    In order to prevent disarray, businesses need to empower people in an accurate and scalable way. The best way to achieve this is by fostering a culture of self-service analytics. Find out how VMware built a community around data analysis, and ultimately gained access to better visualization and insights.

  • 5 Steps to Self-Service Analytics that Scales

    Sponsored by: Tableau Software

    Self-service BI is the modern approach to analytics. Learn about software that allows people to connect to, visualize, and analyze their data easily and find actionable insights. Uncover the 5 steps to self-service analytics that ensure safe, secure, and governed results.

  • Hadoop-Enabled Analytics: Don't Ignore the Elephant in the Room

    Sponsored by: IBM

    This report by Aberdeen investigates the impact Hadoop is having on the performance of today's companies and how they use data. Learn why companies using Hadoop are more than 3 times as likely to be satisfied with data quality as those who are not leveraging Hadoop.

  • 7 Signs You Need Self-Service Reports

    Sponsored by: Tableau Software

    Explore the use of self-service business intelligence, which equips individuals throughout your organization to investigate their own data, thereby removing some of the burden from IT. Uncover the 7 indicators that tell you when you're ready for self-service BI.

Browse by Report Type: Data Quality White Papers | Data Quality Multimedia | Data Quality IT Downloads

See more topics related to: Data Quality

Bitpipe Definitions: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Other

What's Popular at Bitpipe? Daily Top 50 Reports | Daily Top 100 Topics | Popular Report Topics

ComputerWeekly.com Research Library Copyright © 1998-2016 Bitpipe, Inc. All Rights Reserved.

Designated trademarks and brands are the property of their respective owners.

Use of this web site constitutes acceptance of the Bitpipe Terms and Conditions and Privacy Policy.