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Data Content Quality Reports
 
Filling the Data Gap in DevOps
sponsored by Delphix
WHITE PAPER: While many IT teams have been successful in automating manual processes in modern software development, the same has not been true for the data underpinning the system. Learn the challenges companies face when it comes to managing data for application projects, and how companies can accelerate their goals for digital transformation.
Posted: 19 Jul 2017 | Published: 19 Jul 2017

Delphix

Business Value: The Key to Data Governance Software Selection
sponsored by SearchDataManagement
EBOOK: This expert buyer's guide explores how to narrow down your choices for purchasing a data governance tool. Discover how to align business objectives with the software's capabilities and learn how to build data quality management and big data strategies into your data governance initiatives.
Posted: 12 Jan 2017 | Published: 06 Jan 2017

SearchDataManagement

Solving Fundamental Data Quality Challenges
sponsored by BDNA
WHITE PAPER: Data quality is one of the most important requirements for IT asset management (ITAM) and IT service management (ITSM). Find out what you need to do in the rationalization, refresh, security, automation and planning steps to improve your data quality, and your overall quality of life.
Posted: 01 Jun 2017 | Published: 31 May 2017

BDNA

Self-Service Data Preparation: Vendors, Trends, and Updates
sponsored by Trillium Software
WHITE PAPER: Learn about the current state of the self-service data preparation and cataloguing market to help you find the best platform to suit your needs. Get an in-depth look at 20 vendors—including SAP, SAS, Trillium, and more—as well as an overview of key market trends.
Posted: 17 Aug 2016 | Published: 29 Apr 2016

Trillium Software

Pushing the Start Button on Information Lifecycle Governance
sponsored by IBM
WHITE PAPER: 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.
Posted: 28 Jul 2016 | Published: 30 Jan 2015

IBM

Big Data Integration Made Easy
sponsored by IBM
VIDEO: Discover how your business can flexibly meet your unique information integration requirements – from data integration to data quality and data governance – to deliver trusted information to your mission critical business initiatives.
Posted: 16 Mar 2016 | Premiered: 30 Sep 2015

IBM

Strategies For Effective Big Data Governance And Supporting Analytics Programs
sponsored by IBM
EGUIDE: Governing large and varied sets of big data is difficult. In this expert e-guide, Dr. Anne Smith, Principal Consultant at Alabama Yankee Systems, LLC reveals 7 best practices for instituting effective policies for governing sets of big data. Plus, learn how a solid data governance plan sows the seeds for a successful self-service analytics program.
Posted: 02 Dec 2016 | Published: 02 Dec 2016

IBM

Data Governance for the Hybrid Cloud
sponsored by IBM
VIDEO: How can you ensure the security, quality, and reliability of your data in complicated hybrid environments? This brief webcast reveals the 4 keys for optimal data governance. Discover how you can understand your data, maintain and monitor your data, secure information assets, and 1 more crucial step.
Posted: 16 Mar 2016 | Premiered: 16 Mar 2016

IBM

Data Science is a Team Sport -- Do you Have the Skills to be a Team Player?
sponsored by IBM
WHITE PAPER: How do raw metrics and records become information that drives business results? Explore ways to equip data scientists, engineers, and more with the skills they need to make actionable, valuable insights.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

IBM

Identifying Cloud and Data Quality Opportunities for Big Data
sponsored by IBM
WHITE PAPER: Managing and analyzing data in the cloud has many benefits, but adoption levels remain relatively low, despite the potential benefits. Get the numbers behind leveraging the cloud for business intelligence and big data analytics, and find out how maximizing analytics' potential relies on the quality of your data.
Posted: 30 Jun 2016 | Published: 29 Jun 2016

IBM
 
 
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