Home
 > search for

Featured Documents related to » manage public data



ad
Get Free BPM Software Comparisons

Find the best BPM software solution for your business!

Use the software selection tool employed by IT professionals in thousands of selection projects per year. FREE software comparisons based on your organization's unique needs—quickly and easily!
Register to access your free comparison reports and more!

Country:

 Security code
Already have a TEC account? Sign in here.

Documents related to » manage public data


Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

MANAGE PUBLIC DATA: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in
9/9/2009 2:32:00 PM

Data Quality: A Survival Guide for Marketing
Data Quality: a Survival Guide for Marketing. Find Free Blueprint and Other Solutions to Define Your Project In Relation To Data Quality. The success of direct marketing, measured in terms of qualified leads that generate sales, depends on accurately identifying prospects. Ensuring data accuracy and data quality can be a big challenge if you have up to 10 million prospect records in your customer relationship management (CRM) system. How can you ensure you select the right prospects? Find out how an enterprise information management (EIM) system can help.

MANAGE PUBLIC DATA: piece. Another reason to manage data quality at the point of creation is it is much easier to validate data and ask the contributor to confirm details as they provide them, rather than months or years later when you actually want to use the data. The picture below (Figure 2) shows an example of how Adobe Systems has implemented real-time data cleansing at the point of capture in its Web order entry process to both automatically validate the data and then to ask the customer which address they prefer.
6/1/2009 5:02:00 PM

Developing a Universal Approach to Cleansing Customer and Product Data
Developing a Universal Approach to Cleansing Customer and Product Data. Find Free Proposal and Other Solutions to Define Your Acquisition In Relation 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.

MANAGE PUBLIC DATA: data they create and manage may be used by other applications for other purposes. It is this complex and unmanaged environment that has led to many of the data quality problems that exist today, and given the huge growth in the data being generated both inside and outside of companies, application complexity and data quality is likely to steadily get worse unless companies pay more attention to enforcing data quality and evolve to support a universal approach to managing data cleansing and data quality
6/1/2009 5:10:00 PM

Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g for Data Warehousing and Business Intelligence. Find RFP Templates and Other Solutions to Define Your Project In Relation To Oracle Database, Data Warehousing and Business Intelligence. Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.

MANAGE PUBLIC DATA: helping customers like you manage your business systems and information with reliable, secure, and integrated technologies. Source : Oracle Resources Related to Business intelligence (BI) : Business intelligence (BI) (Wikipedia) Oracle Database 11g for Data Warehousing and Business Intelligence Data Warehouse is also known as : Data Warehouse , Data Warehouse Architecture , Data Warehouse Concepts , Data Warehouse Software , Data Warehousing Analysis , Data Warehouse Community , Data Warehouse
4/20/2009 3:11:00 PM

The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

MANAGE PUBLIC DATA: business intelligence, data mining, reports, dashboard, reporting, crystal reports, crystal report, reporting services, machine learning algorithm, financial reporting, dashboards, hands down dashboard, aim dashboard, new dashboard, reporting software, neural network, reporting tool, budget report, dashboard update, new 360 dashboard, report writer, excel dashboard, reporting tools, business reporting, business intelligence software, business intelligent, business intelligence system, data minin.
6/19/2009

Massive Data Requires Massive Measures
There’s a lot of “big” money to be made these days when it comes to the analysis of big data. Find out what the key components are in this special report. One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money involved in order to gain position. But is the analysis of extensive amounts of data really a key component for the corporate business world?

MANAGE PUBLIC DATA: data warehouse and information management space is — likewise — by no means cheap. In the corporate world, the information explosion has made it difficult for big organizations to collect, clean, store, and analyze such volumes of information. This has to do not only with quantity, but also with the number of sources, quality requirements, and the speed at which data is generated. The amount of information that companies generate is still growing at a constant pace, and the complexity of the analysis
11/5/2010 10:03:00 AM

A CRM System Needs A Data Strategy
A customer relationship management (CRM) system is inherently valuable for supporting customer acquisition and retention by gathering data from each contact with customers and prospects. Collecting data, however, cannot be isolated from a strategy for actually using that data. Here is an overview of how to evolve the focus of a data strategy to specifically suit both the acquisition and retention phases.

MANAGE PUBLIC DATA: however, can help successfully manage such expectations (and add value to their respective roles) by wisely counseling about the strategic context into which a CRM system must function. Simply put, the market includes plenty of CRM products - embracing a variety of technical approaches - for gathering data from each contact with a customer or prospect. While each can support customer acquisition and retention efforts, data collection cannot be an end unto itself. In fact, a data strategy is needed to
7/3/2003

Logs: Data Warehouse Style
Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency.

MANAGE PUBLIC DATA: quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency. Logs: Data Warehouse Style style= border-width:0px; />   comments powered by Disqus Related Topics:   Data Cleansing,   Conversion,   or Modeling,  
2/8/2008 1:14:00 PM

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 customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

MANAGE PUBLIC DATA: implementing a system to manage customers does not guarantee that CRM applications will work successfully within the organization. The old adage— garbage in, garbage out, —definitely applies to the realm of CRM. If organizations do not have clean, reliable, centralized data, their customer view will not be complete or accurate, and their business goals will not be achieved. Consequently, customer data integration (CDI) has become an essential component of an organization s management of data, along
9/11/2009

SAP Invited to White House to Showcase Consumer Innovation in Advancing Public Safety » The TEC Blog
Computing CRM customer relationship management Epicor ERP HCM hr human capital management ibm industry watch infor Manufacturing Mobile on demand Oracle plm product lifecycle management retail SaaS salesforce.com SAP SCM Software Selection talent management Categories Ask the Experts (12) BI and Performance Management (182) Business Process Matters (67) Customer Relationship Matters (161) FOSS Ecosystem (24) From the Project Manager s Desk (32) Humor (43) Industry Observation (1140) Information

MANAGE PUBLIC DATA: industry watch, Public safety, Recall Plus, SAP, White House, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
14-09-2012

New Data Protection Strategies
One of the greatest challenges facing organizations is protecting corporate data. The issues that complicate data protection are compounded by increasing demand for data capacity, and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment, which impact infrastructure. IT organizations must meet these demands while maintaining flat budgets. Find out how.

MANAGE PUBLIC DATA: plan,   data protection manager,   disaster recovery planning,   protect data,   regulatory requirements,   backup disaster recovery,   data disaster recovery,   data protection system,   disaster recovery software,   continuous data protection,   disaster recovery services,   microsoft data protection,   computer disaster recovery,   data protection software,   disaster recovery site,   disaster recovery solutions,   network disaster recovery,   backup and disaster recovery Source: IBM
4/23/2010 5:47:00 PM


Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others