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Documents related to » reporting data mining


InsideOut Makes Firewall Reporting Useful
Firewall logs can be cryptic and very difficult to analyze. There are a number of firewall reporting products on the market that attempt to address this problem, however one particular product recently caught our attention.

REPORTING DATA MINING: InsideOut Makes Firewall Reporting Useful InsideOut Makes Firewall Reporting Useful Brien Posey - December 17, 2001 Read Comments Introduction    If you ve read Laura Taylor s Read Your Firewall Logs! then you understand just how important it is to review your firewall s logs on a daily basis. Unfortunately, firewall logs can be cryptic and very difficult to analyze. There are a number of firewall reporting products on the market that attempt to address this problem, however one particular product
12/17/2001

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.

REPORTING DATA MINING: quality, and building specialized reporting marts. Data integration applications are a primary deployment mechanism for data quality functionality, which makes it convenient to cleanse data when it is being moved into or out of your CRM/CDI system. Today’s data quality vendors have built rich and deep functionality that can remediate almost any customer data problem, and they’ve structured their deployment mechanisms to give you the greatest flexibility in deciding when, where, and how to cleanse
6/1/2009 5:02:00 PM

Best Practices for Budgeting, Forecasting and Reporting
Corporate budgeting, forecasting, and reporting presents a formidable challenge to most companies, regardless of size or industry. Companies that are able to address budgeting obstacles and improve their process will not only be rewarded with more accurate budgets, more timely re-forecasts, and improved decision-making, but also foster a disciplined financial management culture that will deliver a true competitive advantage

REPORTING DATA MINING: for Budgeting, Forecasting and Reporting Best Practices for Budgeting, Forecasting and Reporting Source: Adaptive Planning Document Type: White Paper Description: Corporate budgeting, forecasting, and reporting presents a formidable challenge to most companies, regardless of size or industry. Companies that are able to address budgeting obstacles and improve their process will not only be rewarded with more accurate budgets, more timely re-forecasts, and improved decision-making, but also foster a
4/7/2011 4:30:00 PM

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.

REPORTING DATA MINING: Report | Data Quality Reporting | Data Quality Reports | Data Quality Research | Data Quality Review | Data Quality Service | Data Quality Services | Data Quality Software | Data Quality Solution | Data Quality Solutions | Data Quality Specialist | Data Quality Standards | Data Quality Statistics | Data Quality Strategy | Data Quality Survey | Data Quality System | Data Quality Technology | Data Quality Test | Data Quality Tool | Data Quality Tools | Ensure Data Quality | Enterprise Data Quality |
9/9/2009 2:32:00 PM

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.

REPORTING DATA MINING: The Fast Path to Big Data The Fast Path to Big Data Source: Wipro Technologies Document Type: White Paper Description: 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
2/7/2013 12:55:00 AM

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 of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an

REPORTING DATA MINING: standard which is QA reporting to Development. (It s hard for QA to argue a product feature with a developer when he/she is your boss.) The company has established a team-based system pitting development against QA. Development competes based on how fast they can fix a bug, and how low they can keep the bug count. QA competes on the basis of how many bugs they can find. This is a good way to encourage higher quality software when the product is finally released. Market Impact There are currently few
2/15/2001

Mining and Quarrying ERP Accreditation Report: Eclipse Computing Pty Ltd
Mining and quarrying organizations seeking the services of a value-added reseller (VAR), channel partner, implementer, vendor, or consultant require an evaluation of what this service provider has to offer. This report assists organizations looking to determine the best-fit service provider for their needs. Based on information provided to TEC by Microsoft reseller Eclipse Computing, this report focuses on real-life implementation projects delivered by Eclipse Computing to three of its existing clients.

REPORTING DATA MINING: Mining and Quarrying ERP Accreditation Report: Eclipse Computing Pty Ltd Mining and Quarrying ERP Accreditation Report: Eclipse Computing Pty Ltd Source: Technology Evaluation Centers Document Type: Accreditation Report Description: Mining and quarrying organizations seeking the services of a value-added reseller (VAR), channel partner, implementer, vendor, or consultant require an evaluation of what this service provider has to offer. This report assists organizations looking to determine the best-fit
11/30/2010 1:05:00 PM

About Big Data
TEC analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions. There may not be a consensus with respect to just how big

REPORTING DATA MINING: About Big Data About Big Data Jorge García - November 18, 2011 Read Comments There is no general consensus with respect to how big big data is—some companies deal with data volumes in the order of terabytes or even petabytes—but not many people will disagree that managing these huge amounts of data represents a challenge. It’s fair to say that we’re dealing with big data when traditional relational databases and systems are no longer sufficient. Things as simple as data storage and movement
11/18/2011 2:08:00 PM

The Data Explosion
RFID and wireless usage will drive up data transactions by ten fold over the next few years. It is likely that a significant readdressing of the infrastructure will be required--in the enterprise and the global bandwidth.

REPORTING DATA MINING: The Data Explosion The Data Explosion Ann Grackin - October 20, 2004 Read Comments Introduction Traffic on the World Wide Web continues to grow. Traffic on your S mall S mart F ast devices continues to grow. Ok, I admit it. I bought the cell phone that takes pictures. I didn t know if it was useful; but being a technophile, I went for it. And rapidly it all came to me! I tried on a new cool jacket ... I crooned over it ... but for that much money, I wasn t sure. Should I really buy this? Enter the pic in
10/20/2004

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.

REPORTING DATA MINING: A CRM System Needs A Data Strategy A CRM System Needs A Data Strategy David McNamara - July 3, 2003 Read Comments Introduction An underutilized customer relationship management (CRM) system - or one that cannot match its owner s expectations - will reflect poorly on both the vendor who sold it and the IT manager who authorized the purchase and installed it. Both, however, can help successfully manage such expectations (and add value to their respective roles) by wisely counseling about the strategic
7/3/2003

More Data is Going to the Cleaners
WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT) today announced a strategic partnership with Firstlogic, Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing, data warehousing, and e-business applications. Under the partnership agreement Firstlogic will develop and support a link between its customer data quality tools and Ardent's DataStage Suite.

REPORTING DATA MINING: More Data is Going to the Cleaners More Data is Going to the Cleaners M. Reed - December 1, 1999 Read Comments Event Summary WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT), a leading global data management software company, today announced a strategic partnership with Firstlogic, Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing, data warehousing, and e-business applications. Under the partnership
12/1/1999


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