Abstract: A secure and accurate flow of information in your supply chain operations has never been more critical—and complex. Digital transfer of unstructured information is a security risk, for both confidentiality and compliance, and traditional file transfer methods are now falling short. A managed file transfer solution combining hardware, software, and networks can meet your demands for visibility, security, and compliance.

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: Companies should consider managed file transfer (MFT) suite vendors that meet their tactical and strategic needs. It's all too easy to be reactive and deploy technology that supports only one file transfer protocol and one standard for secure file transfers. It's more prudent to deploy a product that can be easily expanded and upgraded to handle multiple protocols and multiple standards in a well-managed, auditable way.

Abstract: Ensuring your data transfer is done in a manner that is secure, auditable, reliable, and compliant depends a lot on your IT applications. But choosing a solution for user-to-user secure file transfer can be challenging. For one thing, you need to ensure it supports your methods of handling confidential and sensitive information—to adhere to internal security and privacy policies and to government mandates. Find out more.

Abstract: The Internet has made information transfer faster and easier. But alongside, hacking and data theft are increasing threats to organizations’ security. How can files be delivered safely within an organization or far beyond its walls? Secure file transfer reporting and tracking tools help keep sensitive data in the right hands—and help organizations comply with government regulations.

Abstract: There are hundreds of anti-spam and anti-virus products designed to defend against unwanted e-mail. These solutions can take the form of software, appliances, or managed services. Managed filtering services are convenient and economical, and are also extremely effective in managing threats. In fact, most managed e-mail defense services block threats before they even reach the internal network.

Abstract: Corporations share data with a variety of remote offices, trading partners, customers, and regulatory agencies. Sensitive data is transferred to and from entities around the world billions of times a day. Security breaches are frequently in the news, with reports of compromised customer data. However, business-to-business (B2B) workflow breakdowns are more likely to occur—and are potentially just as harmful.

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: Small and medium businesses (SMBs) face many time-consuming tasks when looking for a Web presence, especially if they don’t maintain in-house resources to manage their Web servers. Managed hosting services provide a coordinated, comprehensive solution for SMBs. Discover how managed hosting services can help SMBs tackle these tasks and reduce costs while maintaining reliability, uptime, and security.

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: Part of the BizManager product suite, BizLink is an enterprise-level electronic data interchange (EDI) solution and business-to-business (B2B) gateway. It’s designed for secure managed file transfer, regardless of disparate data types, transports, and connectivity methods. Find out how Bizlink can protect private data, and simplify the management of a complex community of external partners and internal organizations.

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.