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How Midsize Businesses Can Reduce Costs, Secure Data, and Ensure Compliance with an Identity Management Program
A strong identity management platform plays dual roles: gatekeeper and guardian of business intelligence (BI) and data. Midsize businesses can’t operate

data managment  | Data Compliance | Data Security | Deploy Dentity Management Strategy | Deploy Identity and Access Management Solutions | Deploy Identity and Access Management System | Deploy Identity Management | Deploy Identity Management Applications | Deploy Identity Management Architecture | Deploy Identity Management Concepts | Deploy Identity Management Design | Deploy Identity Management Implementation | Deploy Identity Management Model | Deploy Identity Management Program | Deploy Identity Management Solutions 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 managment


10 Pitfalls to Avoid when Selecting a CMMS/EAM
As you look for ways to get the most out of your existing operating assets, enterprise asset management (EAM) and computerized maintenance management system

data managment  is just a static data and reporting system. p.6 Mistake #4 – You are hung up on the slicing and dicing of CMMS/EAM data. p.7 Mistake #5 – You believe that “green” functionality is today’s “flavor of the month.” p.8 Mistake #6 – You are focused solely on how the CMMS/EAM will satisfy your current needs. p.9 Mistake #7 – You tend to focus on how the CMMS/EAM benefits your location, instead of what benefits the organization overall. p.10 Mistake #8 – You think implementing a Read More
Every Organization Values Supply Chain Visibility but Sharing Information Can Be a Dangerous Proposition
To achieve a high level of supply chain transparency, companies must share their technology systems and data with many suppliers, distributors, transportation

data managment  their technology systems and data with many suppliers, distributors, transportation carriers, and channel partners that bring their products to market. This information may be seen by thousands worldwide. While there are doubtless benefits to be achieved, increased data sharing also carries an inherent level of risk. Know how to manage these risks. Read More
CRM Success for Fast Growing Companies: What Every Small and Midsized Business Needs to Know
When creating a seamless value chain, it is essential to focus on the customer. However, information, data, and processes are key when planning the complex

data managment  Data Model | Customer Data Service | Customer Development | Customer Ecosystem | Customer Engineering | Customer Expectations | Customer Experience | Customer Implementation | Customer Innovation | Customer Issues | Customer Knowledge | Customer Knowledge Management | Customer Management | Customer Managment | Customer Marketing | Customer Objectives | Customer Operations | Customer Organization | Customer Performance | Customer Planning | Customer Process | Customer Processes | Customer Project | Read More
Economic Benefits of PLM-enabled Collaboration
Many of today’s product lifecycle management (PLM)-enabling technologies allow complex information to be shared by dispersed teams of people. Product data

data managment  asynchronous collaboration by managing data and information access via a single logical shared workspace. Many of today's PLM-enabling technologies allow complex information to be shared and worked upon by dispersed teams of people. Product data management (PDM) technology is used to organize and provide broad access to a company's intellectual assets within the context of an enterprise's complete PLM environment. However, simply organizing data better produces important, but limited value. The concept Read More
A Roadmap to Data Migration Success
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources,

data managment  Roadmap to Data Migration Success Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them. Read More
Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

data managment  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you'll learn how to save money by using less electricity—whether your data centers are still in the design Read More
Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone
Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the

data managment  or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support. Read More
Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

data managment  to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More
Making Big Data Actionable: How Data Visualization and Other Tools Change the Game
To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through

data managment  Big Data Actionable: How Data Visualization and Other Tools Change the Game To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques. Read More
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

data managment  of Prefabricated Modular Data Centers Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and Read More
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

data managment  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

data managment  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

data managment  the PCI Data Security Standard MessageLabs Hosted Web Security and Content Filtering service operates at the Internet level, intercepting viruses, and spyware. Source : MessageLabs | Now part of Symantec Resources Related to Understanding the PCI Data Security Standard : Payment Card Industry Data Security Standard (PCI DSS) (Wikipedia) Understanding the PCI Data Security Standard Data Security is also known as : Data Security Architecture , Data Security Articles , Data Security Audit , Read More
Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox
Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging

data managment  Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data Read More

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