data quality tools

Results 1 - 15 of 15Sort Results By: Published Date | Title | Company Name
Published 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)
Tags : 
    
Group M_IBM Q119
Published By: Talend     Published Date: Nov 02, 2018
Siloed data sources, duplicate entries, data breach risk—how can you scale data quality for ingestion and transformation at big data volumes? Data and analytics capabilities are firmly at the top of CEOs’ investment priorities. Whether you need to make the case for data quality to your c-level or you are responsible for implementing it, the Definitive Guide to Data Quality can help. Download the Definitive Guide to learn how to: Stop bad data before it enters your system Create systems and workflow to manage clean data ingestion and transformation at scale Make the case for the right data quality tools for business insight
Tags : 
    
Talend
Published By: Tricentis     Published Date: Jan 08, 2018
Data. It seems to be everywhere today and yet we can never get enough of it. But as it turns out, a lack of data isn’t our problem -- our problem is the difficulty piecing together, understanding and finding the story in all the data that’s in front of us. In software testing in particular, the need for consolidated, meaningful test metrics has never been higher. As both the pace of development and the cost of delivering poor quality software increase, we need these metrics to help us test smarter, better and faster. Fortunately, business intelligence now exists to make this goal a reality. The analytics these tools provide can help drive efficient and effective testing by providing teams with insight on everything from testing quality and coverage to velocity and more. And this knowledge can position the QA team as trusted experts to advise the entire software development team on steps that can ensure a better quality end result.
Tags : 
    
Tricentis
Published By: IBM     Published Date: Oct 17, 2017
The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.
Tags : 
    
IBM
Published By: Dun & Bradstreet     Published Date: Feb 21, 2017
As the volume of data coming into organizations – from both internal and external sources – continues to grow and makes its way across departmental systems in many different formats, there is a critical need to create a single, holistic view of the key data entities in common use across the enterprise. Master Data Management (MDM) aims to accomplish this goal. Not surprisingly, MDM has become a significant priority for global enterprises, with the market expected to triple from $9.4B to $26.8B by 2020 according to analysts. The reality, though, is that while seemingly everyone is investing heavily in the tools to manage data, few are putting a great enough emphasis on the data itself. And that’s a problem. Poor data quality is said to be costing businesses $3.1 trillion annually – and that’s just in the US alone. The information being put into MDM tools must be mastered first and foremost.
Tags : 
managing data, data management insight, mdm, master data management
    
Dun & Bradstreet
Published By: IBM     Published Date: Jul 22, 2016
"Increasingly, brands are looking to differentiate based on an exceptional customer experience. The key to improving the customer experience is being able to effectively measure what’s working and what you need to improve. IBM host a webinar presenting tips on how to measure the customer experience for your brand and how to use that data to build better journeys. Please join IBM and guest speaker Andrew Hogan from Forrester Research as we share tips on how to best measure the digital experiences customers have with your brand and how to use that information to build better journeys. The webinar will provide attendees with: • Best practices to measure the quality of digital customer experiences • Guidance on the kinds of tools to use to capture the right CX metrics • Tips for integrating metrics, including the role of customer journeys • Techniques to drive action and improve digital experiences"
Tags : 
ibm, commerce, customer analytics, marketing, customer experience, customer insight, forrester, digital experience, crm & customer care, marketing research, traditional marketing
    
IBM
Published By: iKnowtion     Published Date: Nov 09, 2011
Data quality is a key component for optimum customer communications programs. Find out how to determine whether you have appropriate tools in place to support current and future marketing analysis functions.
Tags : 
crm strategies, data quality, marketing analysis, customer communications, analytics, iknowtion
    
iKnowtion
Published By: Melissa Data     Published Date: Nov 18, 2008
Learn what a Web Service is and how it works, the advantages of using a Data Quality Web Service, the technology assessment for implementation, and several case studies (Saab and other real world case studies) to demonstrate real life successes.
Tags : 
melissa data, data quality, contact data verification, address verification, validate address, address verification software, address verify, address validation software, data quality tools, data quality management, data quality objects, data quality api, address quality, data cleanse, data hygiene, data quality, data quality analysis, data quality api, data quality assurance, data quality control
    
Melissa Data
Published By: Melissa Data     Published Date: Nov 18, 2008
Tom Brennan and John Nydam explain the Melissa Data and Stalworth partnership, discuss the business problems caused by bad data, and describe how DQ*Plus provides a complete data quality solution for enterprise applications and commercial databases.
Tags : 
melissa data, data quality, contact data verification, address verification, validate address, address verification software, address verify, address validation software, data quality tools, data quality management, data quality objects, data quality api, address quality, data cleanse, data hygiene, data quality, data quality analysis, data quality api, data quality assurance, data quality control
    
Melissa Data
Search      

Add Research

Get your company's research in the hands of targeted business professionals.