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Documents related to » long term data storage


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.

LONG TERM DATA STORAGE: area code/prefix. Also append lat/long, time zone, city, state, ZIP, and county. Email Validation — Validate, correct and clean up email addresses using three levels of verification: Syntax; Local Database; and MXlookup. Check for general format syntax errors, domain name changes, improper email format for common domains (i.e. Hotmail, AOL, Yahoo) and validate the domain against a database of good and bad addresses, as well as verify the domain name exists through the MaileXchange (MX) Lookup, and
9/9/2009 2:32:00 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.

LONG TERM DATA STORAGE: Developing a Universal Approach to Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data Source: SAP Document Type: White Paper Description: 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
6/1/2009 5:10:00 PM

Four Critical Success Factors to Cleansing Data
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to 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 to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

LONG TERM DATA STORAGE: to do so, as long as everyone understands that the root of data cleansing is the Data and Business Owners who define what is needed. If you have internal data tools already implemented, then use them. If you don t, then don t run out and buy one just for this project. Implementing a PIM or PDM, is a whole separate project. Most vendors will only import clean data, so you still have to do the hard work first. Not to worry, most any technical analyst can link to tables via ODBC and extract out the data
1/14/2006 9:29:00 AM

Compaq and IBM Alliance for Storage
Compaq and IBM will now cross-sell each other’s storage products, and will work together to make their storage hardware and software interoperable.

LONG TERM DATA STORAGE: In the medium and longer terms, the potential of the VersaStor technology is intriguing, and may be the biggest gain for users. Although it may take a couple of years to realize the potential fully, it s certainly something all enterprise storage users will find valuable. Potential customers should not overlook EMC, Sun, or any of the other serious storage vendors. Although the IBM/Compaq promise is alluring, customers still need product today, and EMC is still a leader.
8/3/2000

Six Misconceptions about Data Migration
A truly successful data migration project involves not only an understanding of how to migrate the data from a technical standpoint, but an understanding of how that data will be used and its importance to the operation of the enterprise.

LONG TERM DATA STORAGE: skills; they may actually long for the challenge of taking on a new and different process. Lesson learned : Don’t assume that your IT staff possesses all the technical skills or that it has the workload capacity to handle data migration. Taking into consideration the skill set and workload of existing IT staff—keeping in mind that the team likely still needs to support the legacy system during implementation—may prevent bottlenecks that could delay project completion. Misconception # 3—Data
6/23/2008

Data Conversion in an ERP Environment
Converting data in any systems implementation is a high wire act. Converting data in an ERP environment should only be undertaken with a safety net, namely a well thought-out plan of execution. This article discusses the guidelines for converting data when considering manual or electronic alternatives.

LONG TERM DATA STORAGE:
10/21/2002

Scalable Data Quality: A Seven-step Plan for Any Size Organization
Scalable Data Quality: a Seven-step Plan for Any Size Organization. Read IT Reports In Relation To Data Quality. Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

LONG TERM DATA STORAGE: Scalable Data Quality: A Seven-step Plan for Any Size Organization Scalable Data Quality: A Seven-step Plan for Any Size Organization Source: Melissa Data Document Type: White Paper Description: Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor
9/9/2009 2:36:00 PM

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.

LONG TERM DATA STORAGE:
2/8/2008 1:14:00 PM

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

LONG TERM DATA STORAGE: unusual among software vendors. Along the same lines, Quality Assurance also reports to Mr. Klink, instead of the vendor 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
2/15/2001

Infor s Big Data Cloud in the Sky » The TEC Blog


LONG TERM DATA STORAGE: amazon redshift, bi, big data, Cloud, ERP, industry watch, infor, infor 10x, infor ion, infor mingle, infor sky vault, inforum 2013, sap hana, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
02-05-2013

Data Storage in the Cloud--Can You Afford Not To?


LONG TERM DATA STORAGE: data storage cloud afford, data, storage, cloud, afford, storage cloud afford, data cloud afford, data storage afford, data storage cloud..
8/29/2011 5:02:00 PM


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