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Published By: NetProspex     Published Date: May 12, 2014
NetProspex manages B2B marketing data on a massive scale. When we analyzed the more than 61M the records we processed last year, here’s what we found.
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marketing data services, marketing data management, marketing data quality, installed technology list, international contact data, business contact list, marketing database cleansing, marketing database services
    
NetProspex
Published By: NetProspex     Published Date: May 12, 2014
Only 8% of marketers classified their lead gen efforts as "very successful". Check ot the latest research on what successful lead generation will look like in 2014. See how you compare by taking the survey and then downloading the report!
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marketing data services, marketing data management, marketing data quality, installed technology list, international contact data, business contact list, marketing database cleansing, marketing database services
    
NetProspex
Published 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.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
SAS
Published By: Fiserv     Published Date: Nov 07, 2017
"In today’s ever-evolving lending landscape where loan quality and risk management challenge profitability and the customer experience, technology may be the key to thriving – both now and in the future. Winning financial services institutions will be the ones that transform their business models to place loan quality and risk management at the center of their operations. To facilitate continuous life-of-loan management, inclusive of the requisite data transparency and audit trails that support loan quality and loss mitigation, these institutions will implement and automate a loan completion process. Such a process will manage data quality and access to loan data and documents throughout origination, servicing and sale on the secondary market."
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mortgage data quality, loan quality, loan data quality, mortgage quality, loan compliance, lending compliance, mortgage compliance, trid
    
Fiserv
Published By: Trillium Software     Published Date: May 25, 2011
To achieve business goals and objectives, you must first optimize the information supporting all of your business processes. Implementing an Information Quality Management practice and applying best practices will help maximize the value of your information.
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trillium software, information quality management, iqm, business process silos, tactical data, strategic information, productivity, mdm
    
Trillium Software
Published By: Trillium Software     Published Date: May 25, 2011
To achieve business goals and objectives, you must first optimize the information supporting all of your business processes. Implementing an Information Quality Management practice and applying best practices will help maximize the value of your information.
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trillium software, information quality management, iqm, business process silos, tactical data, strategic information, productivity, mdm
    
Trillium Software
Published By: IBM     Published Date: Dec 30, 2008
Does your business need to safeguard information, keep auditors and regulators satisfied, and improve data quality? Data governance is the answer. This informative video outlines the latest challenges and best practices in data governance. IBM data governance solutions help businesses with:• Audit and reporting • Data architecture/infrastructure • Data quality • Information lifecyle management • Metadata/business glossaries • Organizational design/development • Policy/risk management • Security/privacy/compliance • Stewardship/value creation
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ibm, data governance, safeguard information, data quality, data architecture, data infrastructure, information lifecycle management, metadata
    
IBM
Published 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.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
SAS
Published By: Trillium Software     Published Date: Jun 06, 2011
Hear Andy Hayler from the Information Difference discuss these challenges as he presents the findings of his research report, "Building a Robust Business Case for High Quality Master Data".
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trillium software, operational data quality, mdm solution, business case, andy hayler, high quality master data, post-implementation review
    
Trillium Software
Published By: Trillium Software     Published Date: Jun 06, 2011
Hear Andy Hayler from the Information Difference discuss these challenges as he presents the findings of his research report, "Building a Robust Business Case for High Quality Master Data".
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trillium software, operational data quality, mdm solution, business case, andy hayler, high quality master data, post-implementation review
    
Trillium Software
Published By: BusinessObjects     Published Date: Jan 30, 2007
Download this step by step guide to learning how mid-size companies can benefit from Business Intelligence. You'll learn the benefits of BI and why mid-size companies need it for effective decision-making and improved results.
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performance management, data quality, msrs, microsoft reporting services, cognos 8, cognos, powerplay, cognos reportnet
    
BusinessObjects
Published By: K2     Published Date: Aug 24, 2015
This complementary template focuses on the eight key areas for business process automation success to help you evaluate the quality of the platforms you are considering – and to ensure that the system you choose is agile and flexible enough to meet your business needs. WORKFLOW TOOLS AND FEATURES FORMS INTEGRATION AND DATA SECURITY MOBILE USER AND RUN-TIME EXPERIENCE REPORTING, ANALYTICS AND MONITORING MAINTENANCE/SUPPORT/HELP DOCUMENTATION
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K2
Published By: StreamSets     Published Date: Sep 24, 2018
Imagine you’re running a factory but without a supply chain management system or industrial controls. Instead, you expect your customers to find and fix your delivery and quality problems. Sound ludicrous? Well, in many enterprises that’s the current “supply chain management” process for big and fast data. It relies on the lightly monitored dumping of unsanitized data into a data lake or cloud store, forcing data scientists and business users to deal with failures from data availability and accuracy issues.
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dataflow, operations, factory, industrial
    
StreamSets
Published By: Trillium Software     Published Date: Jun 06, 2011
The second Web seminar in the series is titled "Data Governance". Learn how Digital River successfully implemented Data Governance across their organization.
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trillium software, operational data quality, upstream operational systems, data governance, data monitoring, businessprocesses, digital river, data management
    
Trillium Software
Published 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.
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single platform, data integration, data quality, quality management, soa, architecture, soa, sap businessobjects data services
    
SAP
Published 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.
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single platform, data integration, data quality, quality management, soa, architecture, soa, sap businessobjects data services
    
SAP Inc.
Published 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.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
SAS
Published 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.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
SAS
Published By: IBM     Published Date: Aug 30, 2017
DevOps (short for development and operations), like most new approaches, is only a buzzword for many people. Everyone talks about it, but not everyone knows what it is. In broad terms, DevOps is an approach based on lean and agile principles in which business owners and the development, operations, and quality assurance departments collaborate to deliver software in a continuous manner that enables the business to more quickly seize market opportunities and reduce the time to include customer feedback. Indeed, enterprise applications are so diverse and composed of multiple technologies, databases, end-user devices, and so on, that only a DevOps approach will be successful when dealing with these complexities. Opinions differ on how to use it, however. Some people say that DevOps is for practitioners only; others say that it revolves around the cloud. IBM takes a broad and holistic view and sees DevOps as a business-driven software delivery approach  — an approach that takes a new or en
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devops, ibm, quality assurance, end-user devices, customer engagement
    
IBM
Published By: SAS     Published Date: Apr 16, 2015
Ecclesiastical uses SAS® to improve data quality to make better decisions that enhance the reputation of the business, affect millions of pounds of risk selection/underwriting and help to establish optimum reinsurance levels. Millions of pounds hang on decisions around reinsurance and risk selection. Achieving the best possible outcome means taking data and turning it into ‘decision-making gold’. The key is to have good data going into the process.
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SAS
Published By: Centrica Business Solutions     Published Date: Aug 14, 2018
The energy landscape has become increasingly complex. Globally, we’re relying less on centralized, steady power sources – such as gas-fired and coal-fired power stations – and more on mixed, locally-distributed renewable energy supplies including solar, wind, tidal and battery. While this is positive for the environment and carbon emissions, it makes balancing power grids a much more complex task. Power quality and reliability becomes more variable in output, while demand for power continues to increase steadily. But when it comes to energy resilience, many organizations simply don’t know where to start. What solutions are available? Which are the best ones for their specific situation and physical premises? What will be their return on investment? Is it simply the cost of doing business, or is there actually a business case? The guide will give you the tools and data to build your understanding and quantify the benefit for your organization.
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energy, resilience, building, business, energy
    
Centrica Business Solutions
Published By: NetProspex     Published Date: May 12, 2014
While collecting marketing data is easy, that data is not cast in stone. Securing a marketing data management plan that you can rely on is imperative. This guide provides actionable steps to clean up your data and increase conversions.
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marketing data services, marketing data management, marketing data quality, installed technology list, international contact data, business contact list, marketing database cleansing, marketing database services
    
NetProspex
Published By: Trifacta     Published Date: Feb 12, 2019
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data. Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018. In this recorded webinar you will learn: • Where does data preparation fit within DataOps • What are the key technical & business differentiators of data preparation solutions • How to align the righ
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Trifacta
Published By: NetProspex     Published Date: Nov 04, 2013
How clean & actionable your B2B marketing database is today? Analyze your data with this free, secure cloud based assessment of your email deliverability, phone connectability, record completeness, duplication, target profile breakdown and more.
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marketing data services, marketing data management, marketing data quality, installed technology list, international contact data, business contact list, marketing database list, marketing database services
    
NetProspex
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)
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Group M_IBM Q119
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