data quality management

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By: Oracle     Published Date: Nov 15, 2017
Webcast : Oracle Ravello : a cloud solutions for disposable workloads.
Tags : oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
     Oracle
By: Oracle     Published Date: Nov 08, 2017
Digital developments are forever shaping the way we work, bringing new innovations through our office doors almost every day. These high-demand technologies have increased expectations, with organizations now having to drive business agility at unprecedented levels. Although we’re presented with enormous opportunity, we also face new obstacles that can block the path to success; obstacles such as the need to innovate quickly, keep costs down, and actively respond to competitive pressures.
Tags : oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
     Oracle
By: Oracle     Published Date: Nov 08, 2017
To succeed in today’s competitive reality, businesses need to free themselves from the limitations of legacy IT infrastructure. The days of purchasing hardware and maintaining massive data centers to run IT must come to an end. Managing and maintaining your infrastructure is simply too expensive. Explanation of the Oracle IaaS solutions and cases studies.
Tags : oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
     Oracle
By: Oracle     Published Date: Nov 08, 2017
IT departments are under constant pressure to do more with less. Now, as well as keeping the lights on, they are expected to deliver projects that create real business value. As more businesses use digital technologies to disrupt their markets, this pressure is intensifying. Infrastructure as a service (IaaS) is evolving against this background. Initially, it caught CIOs’ attention because it helped them cut costs. Today, IaaS underpins organizations’ agility in the face of disruption and drives innovation-led growth.
Tags : oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
     Oracle
By: Oracle     Published Date: Nov 15, 2017
This Webcast displays why choose Oracle Cloud solutions View this video now to find out more.
Tags : oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
     Oracle
By: Oracle     Published Date: Jan 16, 2014
You need an answer fast. You searched online and almost got the answer, but require a little more information without having to call someone. What do you do?
Tags : crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing
     Oracle
By: Oracle     Published Date: Jan 16, 2014
You need an answer fast. You searched online and almost got the answer, but require a little more information without having to call someone. What do you do?
Tags : crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing
     Oracle
By: Oracle     Published Date: Jan 16, 2014
You need an answer fast. You searched online and almost got the answer, but require a little more information without having to call someone. What do you do?
Tags : crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing
     Oracle
By: Plex Systems     Published Date: Aug 15, 2014
There has been no shortage of high profile recalls over the past several years. Suppliers are being required to provide more robust quality management systems, provide better real-time visablity into manufacturing data, and may even be held accountable for additional charge-back and warranty claims. Take a next generation approach to quality management.
Tags : networking
     Plex Systems
By: RedPoint Global     Published Date: May 11, 2017
Marketing organizations are often limited in their ability to progress marketing tactics from single channel to cross-channel and real-time customer engagement. While marketing organizations might have a robust customer engagement strategy in place, often times there is a gap between their strategy and their ability to execute, with the right personalization and context that customers prefer. Over 62 percent of customers are always-on and readily addressable, but marketers aren’t implementing the right strategies to reach them. This eBook discusses data-driven marketing tactics that can help marketers mind the gap – bridging customer strategy and ability to execute, with the right personalization and context that customers prefer.
Tags : customer engagement, customer data, customer data platform, data quality, customer data management, customer experience, data-driven marketing
     RedPoint Global
By: SAP     Published Date: Jun 23, 2009
In this paper, Frank Dravis, Six Factors Consulting, discusses how even with the finest marketing organizations, the success of marketing ultimately comes down to the data.
Tags : single platform, data integration, data quality, quality management, soa, architecture, soa, sap businessobjects data services
     SAP
By: SAP     Published Date: Jun 23, 2009
Learn the importance of Data Quality and the six key steps that you can take and put into process to help you realize tangible ROI on your data quality initiative.
Tags : roi, data quality, sap, return-on-investment, crm, erp, enterprise resource management, customer relationship management
     SAP
By: SAP     Published Date: Feb 21, 2008
Many significant business initiatives and large IT projects depend upon a successful data migration. Your goal is to minimize as much risk as possible through effective planning and scoping. This paper will provide insight into what issues are unique to data migration projects and offer advice on how to best approach them.
Tags : sap, data architect, data migration, business objects, information management software, bloor, sap r/3, application
     SAP
By: SAP     Published Date: Mar 10, 2009
Learn about the importance of having a data quality strategy and setting the overall goals. The six factors of data are also explained in detail and how to tie it together for implementation.
Tags : sap, data quality, strategy, project management, erp
     SAP
By: SAP Inc.     Published Date: Jul 28, 2009
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company as a whole.
Tags : roi, data quality, sap, return-on-investment, crm, erp, enterprise resource management, customer relationship management
     SAP Inc.
By: SAP Inc.     Published Date: Jul 28, 2009
In this paper, Frank Dravis, Six Factors Consulting, discusses how even with the finest marketing organizations, the success of marketing ultimately comes down to the data.
Tags : single platform, data integration, data quality, quality management, soa, architecture, soa, sap businessobjects data services
     SAP Inc.
By: SAS     Published Date: Sep 13, 2013
If businesses are recognizing the need for a dial-tone approach to establishing “data utility” services for meeting user expectations for data accessibility, availability and quality, it is incumbent upon the information management practitioners to ensure that the organization is properly prepared, from both a policy/process level and a technology level.
Tags : sas, cio, chief information officer, data utility, information management, software development
     SAS
By: SAS     Published Date: Mar 14, 2014
This Q&A with Tom Davenport, Director of Research for the International Institute for Analytics (IIA), will help you understand how analytics is evolving, where you need to go, and how to get there.
Tags : sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
     SAS
By: SAS     Published Date: Mar 14, 2014
This paper explores the challenges organizations have today in implementing a data governance program via an actual business case. It highlights SAS technology that can help you solve many of those challenges.
Tags : sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
     SAS
By: SAS     Published Date: Mar 14, 2014
This report examines how data visualization can help organizations unleash the full value of information, and outlines key considerations to guide the solution evaluation process.
Tags : sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
     SAS
By: SAS     Published Date: Mar 14, 2014
Managing expectations before, during and after the adoption of visualization software is crucial. Users should know what the rollout process will look like and how it will take place, and have clear goals for using the tool. Make sure that the desired outcome isn’t just look-and-feel. Creating beautiful charts and graphs is not a substitute for practical business decisions.
Tags : sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
     SAS
By: SAS     Published Date: Mar 14, 2014
Jill Dyche and SpectraDynamo explains the importance of understanding how to manage data and issues regarding data categorization, retrieval and quality.
Tags : sas, data categorization, retrieval and quality, spectradynamo, telemetry data, data governance program, data management, data quality
     SAS
By: SAS     Published Date: Jan 17, 2018
Executives, managers and information workers have all come to respect the role that data management plays in the success of their organizations. But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this e-book you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
Tags : 
     SAS
By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
Tags : 
     SAS
By: SAS     Published Date: Mar 06, 2018
The most recent decade has seen rapid advances in connectivity, mobility, analytics, scalability, and data, spawning what has been called the fourth industrial revolution, or Industry 4.0. This fourth industrial revolution has digitalized operations and resulted in transformations in manufacturing efficiency, supply chain performance, product innovation, and in some cases enabled entirely new business models. This transformation should be top of mind for quality leaders, as quality improvement and monitoring are among the top use cases for Industry 4.0. Quality 4.0 is closely aligning quality management with Industry 4.0 to enable enterprise efficiencies, performance, innovation and business models. However, much of the market isn’t focusing on Quality 4.0, since many quality teams are still trying to solve yesterday’s problems: inefficiency caused by fragmented systems, manual metrics calculations, quality teams independently performing quality work with minimal cross-functional own
Tags : 
     SAS
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