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Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

data volume  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frustration Read More

Document Management System (DMS)
Document management systems (DMS) assist with the management, creation, workflow, and storage of documents within different departments. A DMS stores documents in a database and associates importan...
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Documents related to » data volume


About Big Data
There may not be a consensus with respect to just how big

data volume  become expensive as the data volume increases. Scaling a data warehouse can be a burden when you’re dealing with such volumes. Meanwhile, some big data providers can produce solutions not only that are cheaper from the get go, but which can be escalated, adapted, and modified as required. Open source solutions—such as NoSQL—have also played an important role in the big data movement, forcing market prices to stay down. The Players As with any other segment in the software industry, the big data Read More
Captured by Data
The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary

data volume  by Data Enterprise Asset Management Systems and the Aims of Modern Maintenance Since the late 1980s, enterprise asset management (EAM) vendors throughout the world have pitched their products based partly on the ability to capture, manipulate, and analyze historical failure data. Part of the stated benefits case is often the ability to highlight the causes for poor performing assets, provide the volume and quality of information for determining how best to manage the assets, and informing Read More
The Three
Big data is currently garnering a tremendous amount of attention, and thought leaders often point to three key attributes: volume, velocity, and variety. The

data volume  Three V s of Big Data Big data is currently garnering a tremendous amount of attention, and thought leaders often point to three key attributes: volume, velocity, and variety. The analysis of these three key attributes can be extended into understanding what big data means to the financial planning and analysis function. This article identifies the technology developments converging to create the big data rush and examines how the financial planning function is impacted by volume, velocity, and variety Read More
Data Management for Business Intelligence
Along with the increasing sophistication of BI capabilities comes an increase in data volume@yet companies want to improve time-to-information for users. Data

data volume  comes an increase in data volume—yet companies want to improve time-to-information for users. Data storage and data retrieval decisions are now often made based on cost instead of business needs—leading to compromises that impact performance. Find out the BI strategies, capabilities, and technologies best-in-class companies are using to address these challenges. Read More
How to Comply with Data Security Regulations
A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation@and can be compliant with the common

data volume  to Comply with Data Security Regulations BizDomainStore.com's Remote Data Backups is the most cost effective, secure, and convenient way to automatically back up your mission critical data Source: BizDomainStore.com Resources Related to How to Comply with Data Security Regulations : Data Security (Wikipedia) How to Comply with Data Security Regulations Data security is also known as : Remote Data , Federal Data , State Data , Most Data , Mirrored Data , Financial Data , Client Data , Enterprise Data Read More
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

data volume  Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Data Cleansing and Synchronization Services The pace with which companies are forced to operate and to compete globally has taxed exisitng systems and increased their inefficiencies. Source : PM ATLAS Business Group, LLC Resources Related to Critical Success Factors to Cleansing Data : Data Cleansing Read More
Overall Approach to Data Quality ROI
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

data volume  Approach to Data Quality ROI 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. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

data volume  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More
Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox
Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging

data volume  Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data Read More
Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies
Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity

data volume  Data Management: Big Data Proves Catalyst to Updating Data Management Strategies Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain. Read More
The Path to Healthy Data Governance through Data Security
Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business

data volume  Path to Healthy Data Governance through Data Security The appropriate handling of an organization’s data is critically dependent on a number of factors, including data quality, which I covered in one of my earlier posts this year. Another important aspect of data governance regards the managing of data from a security perspective. Now more than ever, securing information is crucial for any organization. This article is devoted to providing insight and outlining the steps that will put you on the path Read More
The Teradata Database and the Intelligent Expansion of the Data Warehouse
In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role

data volume  Intelligent Expansion of the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata Read More
Data Quality Basics
Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at

data volume  Quality Basics Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue. Read More
Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics
Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident

data volume  and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are Read More

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