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Evaluating the Total Cost of Network Ownership
The upfront expenses of a network comprise only 19% of the total cost. The remaining 81% can sneak up on bank management, often unaware of some subtle TCO

data ownership policy  multivendor integration projects, involving data migration from Netware to Windows NT, while maintaining UNIX and SNA connectivity. Brian is experienced in facilitating the migration of large firms' outdated software to Windows 95 and Windows NT Workstation. Using platforms including Windows NT, Novell Netware, SUN Solaris, IBM AS/400 and IBM mainframes, he provided onsite Level 3 support for national firms in multi-platform environments. Brian has also conducted international training tours for NEC's Read More...
Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » data ownership policy


Security Begins on Your Desktop
The documents, spreadsheets, databases and other files on the personal computers used to conduct business are corporate assets. It cost money to create them

data ownership policy  than 20% of the data used to run a company resides in its mainframe systems. Older studies showed that more than 50% resided in unstructured formats in file cabinets and the remainder was stored in personal files. Today, the personal computer has assumed the role of personal and even work group file cabinet. However, it has not assumed its privacy, security, and asset management capabilities. Work group file cabinets are obviously company property, as are their contents. Ownership of data in personal comp Read More...
Workday Tackles Big Data in the Cloud
At the recently held Workday Rising 2012 conference, Workday unveiled big data analytics for its users in human resources (HR) and financial departments

data ownership policy  Tackles Big Data in the Cloud At the recently held Workday Rising 2012 conference, Workday unveiled big data analytics for its users in human resources (HR) and financial departments. Workday plans to deliver big data capabilities (with no hardware required) to map and process external data sources and streams. One of Workday's design principles was to provide embedded contextual (relationship-aware) and fast in-memory business intelligence (BI) throughout the product. The product performs Read More...
Ten Key Legal Concerns in E-Commerce Ventures and Contracts
IT managers must understand the legal issues – at least well enough to know when there is an issue. E-commerce is so new that lawyers (and the law) are having

data ownership policy  from hacking, redundancy and data backups are just a few of the issues that are raised in every hosting arrangement. Try to include written specifications and performance warranties in any hosting contract. Consider the specifications carefully. Remember that a promise of 99% uptime still means that your site can be down for eight hours a month. Specify how customer support, notification of security problems, scheduling of routine maintenance and other issues will be handled. Data backup is another import Read More...
Comparing the Total Cost of Ownership of Business Intelligence Solutions
For many companies, traditional business intelligence (BI) software is costly and resource-intensive. So are open source alternatives that require significant

data ownership policy  with modest levels of data transformation), the costs break down for traditional BI over three years as below: More than half of the total cost of a BI solution over three years is staffing related (initial build and annual staffing.) In fact, for larger deployments, the percentages skew even more towards staffing costs. According to IDC, project staffing costs account for approximately 60% of the 3-year total cost of ownership of a typical BI project. In this model, initial deployment costs include the Read More...
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

data ownership policy  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More...
Garbage in, Garbage out: Getting Good Data out of Your BI Systems
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems.

data ownership policy  Garbage out: Getting Good Data out of Your BI Systems Garbage in, garbage out. Poor quality data leads to bad business decisions. You need high quality data in your business intelligence (BI) system to facilitate effective analysis—to make the right decisions at the right time. But how do you achieve this? Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems . In this Focus Brief , you'll learn about the steps in the data delivery cycle, the problems can occur at each step, Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

data ownership policy  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data's Data Quality Suite operates like a data quality firewall ' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Read More...
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

data ownership policy  Data Integration: A Primer Originally published - August 22, 2006 Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization's customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service. Unfortunately, this is not always the case. Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
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

data ownership policy  the Supply Chain-Focusing on Data Quality and Master Data Management 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. Read More...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

data ownership policy  BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. Read More...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

data ownership policy  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

data ownership policy  aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are Read More...
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

data ownership policy  Afford Not To? Spiraling data storage requirements are straining many companies' abilities to keep pace. One obvious solution is storage in the cloud—but concerns regarding security, speed, and accessibility remain. Or do they? In Data Storage in the Cloud—Can You Afford Not To? , you'll discover a cloud storage solution that offers you high-security dual-level encryption (SSLv3 and 256-bit AES) data accessibility from anywhere lower costs due to the economies of scale of cloud storage providers high Read More...
The Importance of a Single Product for Data Quality and Data Integration
Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business

data ownership policy  a Single Product for Data Quality and Data Integration 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. Read More...

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