Abstract: You need a new Internet protocol (IP) phone system—but you’re not quite sure which features and functions would best meet your business operation’s needs. It’s important to know if you’re better off migrating to a hybrid IP PBX system or to a pure IP system. Answer this question and 10 others so you can be prepared to talk with resellers and vendors about IP phones for your voice-over-Internet protocol (VoIP) system.

Abstract: PhoneFish is a two-way wireless Internet solution for small to medium sized businesses, which require consistent wireless access to POP-based email.

Abstract: Cell phones, smartphones, and similar mobile devices are beginning to play an active role in customer relationship management; many of these handheld devices are capable of handling field service and sales, and can make business intelligence available to users.

Abstract: What if you could track the location of mobile assets and provide the information to your accountants, without global positioning system (GPS) devices, radio frequency identification (RFID), or satellites? How about by capturing asset ID numbers and locations with camera cell phones? Find out how this system works and how it can be implemented in public companies—for more compliant tracking of mobile assets.

Abstract: Going mobile has become a growing trend, with many businesses reaching well beyond the use of cellular phones as their only lines of communication. Why? Because these businesses realize that linking the mobile workforce with the enterprise and its data resources—using mobile applications—is key to enhancing productivity, profitability, and customer satisfaction. Choosing the right devices, however, can be very challenging.

Abstract: We all know that computers, generally speaking, have not been as reliable as phones. And the fear, uncertainty, and doubt (FUD) surrounding voice over Internet protocol (VoIP) has been, in some cases, justified. However, for VoIP the question now is not whether reliability can be achieved, but rather how much reliability you can expect from the options available to you.

Abstract: Success often brings unanticipated growing pains to businesses at precisely the moment they’re experiencing initial triumph in the marketplace. When businesses add phones and operators to existing call centers to cope with growth, they run some predictable risks, including not only mounting staffing costs, unchecked calling costs, and scalability failure, but also customer dissatisfaction and outright abandonment.

Abstract: Typically, the cost of feature-rich and scalable business phone systems prevents small businesses from purchasing these powerful tools in the initial stages of their growth. Thus, new companies generally choose standard business phone lines from their local phone company along with multi-line phones. With voice over Internet protocol (VoIP) technology, however, small businesses now have a cost-effective, feature-rich alternative.

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: 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: 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: 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.