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Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and
Feeding Databases | Ensuring Data Security | Proliferation of Data | Data Deluge | Data Everywhere | New Ways of Visualising Data | Data Streams | Flow of Data | Cross-system Data | Crunch Data | Exploiting Data | Basket Data | Data Mining | Seismic Data | Database | Social-Security Data | Industrial Revolution of Data | Masters of Data Mining | Collection of Data | Big Data | Raw Data | Proliferating Data | Data Scientist | Mountains of Data | Managing Data Better | Analysing Data Better | Data Exhaust
Core PLM--Product Data Management - Discrete RFI/RFP Template
Product Data Management (PDM), Engineering Change Order and Technology Transfer, Design Collaboration, Process and Project Management, Product Technology
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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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Dreamforce 2010: Of Cloud Proliferation - Part 2
Part 1 of this blog series talked about my attendance of Dreamforce 2010, salesforce.com’s annual user conference, which has over the past several years become
Chatter Collaboration Cloud Jigsaw Data Cloud (following on the 2010 acquisition of Jigsaw for its sales contacts data enrichment capabilities ) Force.com Platform Cloud database.com Benioff hinted that the Day Two would unveil two more cloud offerings, and that Force.com would be broken down into several cloud applications building flavors. To that end, there are the following application development environments that cater to different user constituencies and developers’ language preferences:
Linked Enterprise Data: Principles, Uses, and Benefits
Over time, as a result of operating pressures, the proliferation of tools, and changing technology, the corporate information system (IS) has become fragmented.
this huge quantity of data is not being mined for the wealth and scope of its potential by either employees or information system applications, mainly because the data is closed off in an array of silos. Read this white paper to see how linked enterprise data (LED) can help.
6 Reasons Big Data Requires Rethinking Your Middleware
The proliferation of process automation, sensor networks, user-generated content, machine-to-machine connections, and mobile computing is driving the far
Reasons Big Data Requires Rethinking Your Middleware The proliferation of process automation, sensor networks, user-generated content, machine-to-machine connections, and mobile computing is driving the far-reaching trend referred to as “big data.” It takes new tools and techniques to collect, process, and distribute this enormous amount of information. Download this white paper and know how to overcome six of the challenges you’ll face as you strive to capitalize on big data.
“Big Data” in the Age of Mass Customization and Product Proliferation
Many organizations struggle to make sense of their big data owing partly to product proliferation. Traditional analytics and data management tools simply do not
sense of their big data owing partly to product proliferation. Traditional analytics and data management tools simply do not provide visibility into the sheer number of product variants and options available as well as customer buying trends. See how Emcien’s pattern-based analytics enables analysis of customer buying patterns so that companies can improve the customer experience and increase profits.
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a
BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of their data as well as to ways to capture the most valuable information for improved decision making and business performance. Let’s look at what the data tells us. Below is a Pareto chart based on data from Technology Evaluation Centers (TEC) on what software users consider to be the most popular functionality features for BI
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment
Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Data Cleansing and Synchronization Services The pace with which companies are forced to operate and to compete globally has taxed exisitng systems and increased their inefficiencies. Source : PM ATLAS Business Group, LLC Resources Related to Critical Success Factors to Cleansing Data : Data Cleansing
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
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 sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn 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
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.
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions
up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?
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
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
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.
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex
Path to Healthy Data Governance This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s still growing. Many companies are finally treating their data with all the necessary
Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries
Reverse Engineers Data Into Information Metagenix Reverse Engineers Data Into Information M. Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and
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
a Successful Data Migration Achieving a Successful Data Migration If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Informatica's data migration solution decreases the risk and minimizes the errors inherent in data migration projects. At the same time, our solution reduces the costs of data migration projects by automating processes, improving business-IT collaboration, and incorporating proven best practices. Source :
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