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Warehouse Management Systems (WMS)
A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction...
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Documents related to » data warehouse info olap


Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

data warehouse info olap  Practices for a Data Warehouse on Oracle Database 11g Best Practices for a Data Warehouse on Oracle Database 11g If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Oracle has been helping customers like you manage your business systems and information with reliable, secure, and integrated technologies. Source : Oracle Resources Related to Data Warehouse : Data Warehouse (Wikipedia) Best Practices for a Data Warehouse on Oracle Read More...
SAP HANA-One Technology to Watch in 2012 (and Beyond)
Did you know that SAP HANA is much more than a high-speed analytic appliance? TEC principal analyst P.J. Jakovljevic reveals how HANA is a universal database

data warehouse info olap  e-mail inbox), an OLAP data warehouse for analysis of users’ logs and preferences, etc. The differences are nuanced, and these nuances present the advantage of one database (approach) over another. To that end, HANA’s purpose is not to necessarily unify all of these disparate worlds and approaches, but rather to reduce the differences and chasm between them. What HANA brings to the table is the speed of combining predictive algorithms with cashed data. Furthermore, HANA features column-oriented data Read More...
Cameleon (Software) Might Change its Colors but Not its (Q2O/CPQ) Purpose - Part 2
Part 1 of this blog series talked about my recent reunion with Cameleon Software (formerly Access Commerce) a provider of on-demand and on-premises configure

data warehouse info olap  in sales & marketing  data warehouse  out there as these vendors’ repository engines. Imagine now combining these repositories with a powerful analytics engine, i.e., a world-class  OLAP (online analytical processing) cubes  crunching limitless combinations of billions of pieces of information? The market wants world-class analytics – not just a limited number of canned  key performance indicators (KPI’s)  or tightly contained analytic application extensions. Right now companies have to Read More...
Seagate Technology Refocuses its Software Business
Over the past six months, Seagate Technology has made major moves to refocus their majority-owned subsidiary, Seagate Software, and put all the emphasis on

data warehouse info olap  product can access R/3 data via the ABAP dictionary and report directly from the SAP database. It also has an ABAP query driver, which allows reporting from pre-built ABAP queries (Crystal Reports only). In addition, the products are BAPI certified against SAP''s Business Information Warehouse (BW). Market Impact Seagate Technology has made it clear that their Seagate Software subsidiary will be focused on the query/reporting segment of the business intelligence market. Their free software initiative has Read More...
TEC Industry Watch: Enterprise Software News for the Week of August 13, 2012
SOFTWARE SELECTIONSSwiss investment bank UBS selects cloud-based Oracle’s Fusion Human Capital ManagementIndustry tags: Finance and Banking

data warehouse info olap  was the vendor’s pricing data science. To increase revenue via optimized pricing was the driving factor here. In addition, PROS has a lot of experience in the paper industry, and it understood the client’s business. The parties were reportedly quite sincere while talking about the project team too. In general, PROS very much promotes a partnership approach, as evidenced by its over 96% renewal rates. —P.J. Jakovljevic, Principal TEC Analyst TEC article (Jan 2012): Two Vendor Execs Discuss the 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

data warehouse info olap  Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Founded in 1972, SAP has a rich history of innovation and growth as a true industry leader. SAP currently has sales and development locations in more than 50 countries worldwide and is listed on several exchanges, including the Frankfurt Stock Exchange and NYSE under the symbol SAP. Read More...
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

data warehouse info olap  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today''s environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More...
Fundamentals of Managing the Data Center Life Cycle for Owners
Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and

data warehouse info olap  of Managing the Data Center Life Cycle for Owners Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and o 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

data warehouse info olap  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 Read 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

data warehouse info olap  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. Read More...
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

data warehouse info olap  aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

data warehouse info olap  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data''s Data Quality Suite operates like a data quality firewall '' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Read More...
How to Comply with Data Security Regulations
A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation@and can be compliant with the common

data warehouse info olap  to Comply with Data Security Regulations BizDomainStore.com''s Remote Data Backups is the most cost effective, secure, and convenient way to automatically back up your mission critical data Source: BizDomainStore.com Resources Related to How to Comply with Data Security Regulations : Data Security (Wikipedia) How to Comply with Data Security Regulations Data security is also known as : Remote Data , Federal Data , State Data , Most Data , Mirrored Data , Financial Data , Client Data , Enterprise Data Read More...
Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet

data warehouse info olap  A Methodology to Sustaining Data Integrity for Going Live and Beyond For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data. Read More...

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