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Outsourcing, IT Infrastructure
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...
 

 shared intelligent data network


Engineering Change Management 2.0: Better Business Decisions from Intelligent Change Management
Traditionally, change management in product development and engineering has been viewed as a way to control cost and improve efficiencies. But companies are

shared intelligent data network  levels, each class also shared characteristics supporting change management in five key categories: (1) process (how companies are executing change management in their business); (2) organization (corporate focus and collaboration among stakeholders); (3) knowledge management (contextualizing data and exposing it to key stakeholders); (4) technology (selection of appropriate tools and intelligent deployment of those tools); and (5) performance measurement (the ability of the organization to measure the

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Business Intelligence (BI) RFI / RFP Template

Reporting and Analysis, Analytics, Data Warehousing, Workflow, Data Integration, Support, and System Requirements Get this template

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Outsourcing, IT Infrastructure
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...

Documents related to » shared intelligent data network

Telligent Community 7.5 and Telligent Enterprise 4.5 with Telligent Analytics 4.0: New Updates


Telligent has announced the release of new capabilities for two of its enterprise social community software solutions: Telligent Community and Telligent Enterprise. A new version of Telligent Analytics was released at the same time. Both Telligent Community and Telligent Enterprise include similar sets of new functionality: real-time alerts, a new message center with instant

shared intelligent data network  other and suggests connections; Shared Social Insights : the ability to share meaningful reports within the community allows decision makers to understand the progress of certain activities such as crowdsourcing; Expert Identification through Behavioral Science : includes identification of experts within individual profiles; Built for Big Data : Telligent Analytics can now integrate with other business intelligence systems; Configurable Reports with Telligent's widget framework : allows users to Read More

Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

shared intelligent data network  software services to be shared by multiple business processes. Separating data quality rules from the processes that use them improves flexibility and makes it possible for the rules to be dynamically maintained to meet changing business needs. BusinessObjects Universal Data Cleanse The data cleansing process of BusinessObjects Data Quality XI standardizes data to ensure a consistent record format, and corrects data based on classification dictionaries and business rules. Prior to the current release, Read More

GXS Acquires HAHT Commerce for More Synchronized Retail B2B Data Part One: Event Summary


GXS, a business to business e-commerce pioneer, announced its acquisition of channel management specialist HAHT Commerce. However, despite a good complementary fit, enlarged customer base, and improved cross-selling opportunity (especially to existing customers in the retail sector), some challenges will have to be overcome and a more detailed strategy will have to be fleshed out.

shared intelligent data network  supply chain data and shared visibility spanning multiple trading partners, back-office systems, and various data formats; and entire order life cycle management, which should expedite document turnaround and allow for self-service status inquiries and the ability to manage by exception. The above products' delivery came after the prior acquisition of the business of Celarix, Inc. , a privately held multi-modal supply chain visibility, collaboration, and event management provider headquartered in Read More

Remapping the Supply Chain Universe, by Ann Grackin and Sree Hameed


Supply chain management is a truly dynamic field. Over the last few years the fundamental structure of the chains has changed to the point where many of the working assumptions have to be reevaluated. ChainLink Research’s new 3D approach provides a useful framework for evaluating supply chain solutions.

shared intelligent data network  be captured and simultaneously shared with everyone (provided they have access privileges). And as such, becomes the authoritative single version of the truth —one object (data source) which is updated by flows of information stemming from the events and ideas of the value chain. One other technology note—and not trivial—is the emergence of auto-identification technology and mobility as true business platforms. These technologies have the potential to enable new linkages beyond the traditional Read More

Considerations for Owning versus Outsourcing Data Center Physical Infrastructure


When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors. This paper discusses how to assess these key factors to help make a sound decision.

shared intelligent data network  DCIM, data center, data center infrastructure management, DCIM management, DCIM software, DCIM software tools, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center life cycle, data center facility operations, data center PUE, PUE, data center physical infrastructure, data center infrastructure outsourcing 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 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.

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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...

shared intelligent data network  implementing energy efficient data centers,implementing,energy,efficient,data,centers,energy efficient data centers,implementing efficient data centers,implementing energy data centers,implementing energy efficient centers,implementing energy efficient data. Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

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Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

shared intelligent data network  data warehouse model,data warehouse software,enterprise data warehouse,olap database,olap tools,data warehouse concepts,data warehouse schema,data warehouse system,data warehouse tools,data warehouse training,olap data warehouse,building a data warehouse,building the data warehouse,business intelligence olap,data warehouse data mart Read More

The Fast Path to Big Data


Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized way—will gain sustainable competitive advantages.

shared intelligent data network  Big Data,Big Data architecture,Big Data challenges,Big Data system,Big Data technology Read More

Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization


Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.

shared intelligent data network  Data Over Third-Party Networks Shared network services are being introduced around the world because of the cost savings that can be delivered versus private line services. However, these network services are using a shared infrastructure. Your data and applications are running over the same wire as that of many others, potentially including a competitor or a bad guy who is interested in compromising your network and stealing your data. Since network devices such as Cisco IOS are now the targets, someone Read More

Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

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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 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.

shared intelligent data network  big data analytics,about data mining,advanced analytic,advanced analytics,advanced analytics definition,advanced analytics techniques,advanced data analytics,analytic data,analytic database,analytic databases,analytical data,analytical database,analytical software,analytics,analytics business Read More

Achieving a Successful Data Migration


The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

shared intelligent data network  data migration,process of transferring data,data migration solutions,high speed data migration,data migration tool,data tape recovery,data migration strategies,migrate data cost-efficiently,data migration guide Read More