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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

ownership of data  the Total Cost of Ownership of Business Intelligence Solutions Birst is Cloud BI. Also known as SaaS BI or on-demand BI, Cloud BI simply means that Birst is offered as a subscription service delivered over the internet instead of as an on-premise software installation. As a Cloud BI solution, Birst is faster to get deployed, lower cost, and demonstrates a far more rapid time to value than an on-premise solution. Source: Birst Resources Related to The Nine Substantial Benefits of 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 » ownership of data


Project Lifecycle Management Implies Long Term Value; Forget the Total Cost of Ownership Fuss
Understanding the nature and specifics of your product development life cycles, and especially new product design and initiation, can help you realize tangible

ownership of data  retirement. Total Cost of Ownership (TCO) Models is Overkill Total cost of ownership (TCO) is a holistic way to view the true costs of IT investment throughout an applications' life cycle. TCO is a way to understand and analyze the costs, efficiencies, and economic impacts associated with procuring, using, and maintaining IT application components over time. In short, it is the cradle to grave costs associated to IT investments. TCO of a PLM environment is the total cost of procuring, operating, and Read More...
Managing the Total Cost of Ownership of Business Intelligence: A 360-Degree Perspective
For many companies, total cost of ownership (TCO) of business intelligence (BI) solutions is out of control. And the problem is growing, fueled by ever

ownership of data  the Total Cost of Ownership of Business Intelligence: A 360-Degree Perspective For many companies, total cost of ownership (TCO) of business intelligence (BI) solutions is out of control. And the problem is growing, fueled by ever-increasing demands from the user community, massive new sources for data, new capabilities, shadow it landscapes, and the cost of keeping people abreast of all the changes. This paper focuses on developing a framework for monitoring and managing the TCO of BI. Read More...
Total Cost of Ownership Secrets for Enterprise Applications
Any enterprise suite will pay for itself faster if you work diligently to reduce the total cost of ownership (TCO). Those who interact with companies on

ownership of data  on your cost of ownership throughout the lifecycle of your software product. And regardless of who your software provider is, a lot of that success depends on the project owner. In some instances, a project manager is not as involved in implementation- particularly in the early phases-as they could be. They rely on the implementation consultant to do a lot of the heavy lifting, and may not participate in training and orientation activities. Then, after the company goes live on the software, these project Read More...
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

ownership of data  critical. Departmental managers need ownership of a piece of TCO. The bank benefits by everyone feeling invested in the system, and taking responsibility for making it work. Since users are an integral part of a network, their buy-in is crucial. Users' enthusiasm about the benefits of network improvements can actually lower the TCO, through less downtime, faster learning, and more peer support. 9. Spread knowledge . The efficiency of the system increases proportionately with the training level of the Read More...
Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

ownership of data  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a Read More...
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

ownership of data  Quality Strategy: A Step-by-Step Approach To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More...
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

ownership of data  Data Quality: A Seven-step Plan for Any Size Organization 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 Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer Read More...
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

ownership of data  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and Read More...
The Future of Talent Management: Underlying Drivers of Change
The next generation of talent management practices and solutions will largely be driven by economic evolution, demographic changes, and technology advancements

ownership of data  Future of Talent Management: Underlying Drivers of Change The next generation of talent management practices and solutions will largely be driven by economic evolution, demographic changes, and technology advancements. These factors are dramatically influencing the way people work, the way companies are organized, and the way talent is managed. This paper explores how current business and talent management processes and technology must evolve in order to effectively deliver business value in the next 5 Read More...
The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to

ownership of data  significant Total Cost of Ownership (TCO) advantage. Conclusion The conventional legacy approach to data center cooling using room-oriented architecture has technical and practical limitations in next generation data centers. The need of next generation data centers to adapt to changing requirements, to reliably support high and variable power density, and to reduce electrical power consumption and other operating costs have directly led to the development of row and rack-oriented cooling architectures. Read More...
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

ownership of data  Storage in the Cloud-Can you Afford Not To? Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage. Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

ownership of data   Read More...
Busting Out of the Inbox: Five New Rules of 1to1® E-mail Marketing
Situating e-mail in a multichannel marketing plan is more complicated than it used to be. Where exactly does e-mail fit in the world of blogs, vlogs, and

ownership of data  Out of the Inbox: Five New Rules of 1to1® E-mail Marketing Situating e-mail in a multichannel marketing plan is more complicated than it used to be. Where exactly does e-mail fit in the world of blogs, vlogs, and podcasts—where MSN, Google, and Yahoo! call the shots? Marketers need to understand which strategies and tactics are most effective to ensure that their e-mails will be delivered, opened, and acted upon. BEGINLYX Read More...

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