Documents » data data everywhere the economist pdf.
Abstract: XPS, Microsoft’s new document format, is bound to be a serious competitor to
PDF. It has the advantage of having learned a lot from
PDF, without having gone through multiple iterations throughout the years. However,
PDF still has first-mover advantage. With the millions of
PDF documents and hundreds of
PDF tools available,
PDF is not going to disappear anytime soon.
PubDate: 12/1/2006 5:21:00 PM
Abstract: PDF is a widely used yet still limited document storage format. PDF/A, an internationally standardized version of PDF, provides further long-term stability of archived data, while permitting users to customize methodologies. However, knowledge managers should ask what software tools must be used in conjunction with PDF/A to ensure electronic archival material is accessible, searchable, and reliable in the long term.
Abstract: Portable document format (PDF) files are used by businesses worldwide to streamline business processes and secure archives. In order to comply with ever-changing government rules and regulations, many companies have come to rely on the security and ease of use that PDF formats provide. With Print2PDF 7.0 Server Edition, documents are easily converted into secure, industry-standard PDF files that can be viewed by anyone.
Abstract: Fonts are the essential elements of any portable document format (PDF) file, but are often taken for granted by most readers. But what if you are a developer and fonts are missing? What should you do? Why does this happen? In the first of a two-part white paper series, explore some of the core PDF concepts, font technologies, and get an introduction to the problem of missing fonts in PDF documents.
Abstract: Data leakage and data breach are two disparate problems requiring different solutions. Data leakage prevention (DLP) monitors and prevents content from leaving a company via e-mail or Web applications. Database activity monitoring (DAM) is a data center technology that monitors how stored data is accessed. Learn why DAM complements DPL, and how you can benefit by making it part of your overall data security strategy.
Abstract: Supplemental product or technical data is typically delivered separately from the information contained within portable document format (PDF) files. This can make it difficult for users to locate the additional content for download. With the CopyFILE plug-in application, however, companies can integrate supplemental product information by using links within a PDF file—thus allowing content to be easily distributed.
Abstract: It is essential for users to be able to create and deliver secure, professional-looking e-mail communications which present a consistent corporate image. PDF software meets these needs. However, when considering PDF, users must determine if the solution enhances communications for all network users, and whether the solution integrates PDFs with other software packages, including e-mail, accounts, and customer relationship management systems.
Abstract: In customer-focused partnerships in a global market, an
economist intelligence unit survey report of 516 executives, you'll be introduced to the c...
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Abstract: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.
Abstract: Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.
Abstract: You can blame your sales people all you want, but if the lead data is bad, they’re not going to bring in business. You can blame your product managers for ineffective promotions, but if the target lists are redundant, the pitches fall on deaf ears. You can blame your customer service representatives for low satisfaction scores, but if customer data is missing, then no wonder the complaint resolution pipeline is backed up. Think it’s your customer resource management (CRM) system? Think again. It’s bad data, and it’s costing you millions. Request your copy of The Bottom Line on Bad Customer Data that delivers detailed advice from Jill Dyche, partner and co-founder of Baseline Consulting, about what you can do to address the impact of bad data on your company. The report gives you insight into how bad data is impacting your company and what you can do about it. How to identify where the bad data is and quantify its impact, and different approaches to determine the sources and causes of bad data are all offered in this paper.
Abstract: Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.
Abstract: There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.
Abstract: Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of product requirements to make the right decision.
Abstract: Rising data volume is not the only reason companies are concerned with issues of data integration and data quality. The growing numbers of disparate systems that produce and distribute data add to the complexity. But in many companies, data quality management has not kept pace with the growth of data integration projects, and its use is immature. Find out how moving toward a single data services architecture can help.
Abstract: All organizations require the ability to create portable document format (PDF) files to maintain the interoperability, authenticity, and security of confidential information—while ensuring that the right person has access to this information. However, if your employees do not have an easy and intuitive way to do this, your organization may be at risk of violating compliance requirements.
Abstract: Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.
Abstract: When portable document format (PDF) documents are used for medical records, insurance policies, judicial statements—or anywhere that timely and efficient processing of documents is required— inaccurate or illegible characters are unacceptable. Learn how missing or incorrect metadata affects onscreen text rendering in PDF files, and find out how to minimize or prevent the effects of missing metadata.
Abstract: Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.