Home
 > search for

Featured Documents related to »  bi huge data warehouse

Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
Start evaluating software now
Country:

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » bi huge data warehouse


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

bi huge data warehouse  Managing Information Systems | BI Data Warehousing | Data Management Service | Data Management Definition | MDM Data Management | Data Storage Manager | Data Management Outsourcing | Data Management Strategies | Business Intelligence Data Integration | Data Integration | ITIL Data Management | Big Database | Data Migration | Using MDM | Data Reduction | Data Maintenance Costs | SAP Data Management | SAP Netweaver Master Data Management | SAP Netweaver MDM | SAP MDM Quick Starters | SAP Netweaver White Read More...
The Fast-payback SAP Projects for Saving Money in 2009: Detailed Data for Business Expense Projects
Companies are under huge pressure to cut all SAP-related costs and are seeking every opportunity to exploit their huge investments in SAP to reduce total

bi huge data warehouse  Business intelligence Revenue improvement BI for customer and product profitability $1,000,000 $500,000 $500,000 $1,000,000 Manufacturing Cost savings Plant reliability improvements $12,000,000 $7,000,000 $3,000,000 $10,000,000 Order fulfilment Compliance requirement Drop-ship with thirdparty providers $250,000 $80,000 $80,000 Purchasing Cost savings SRM implementation for procurement $1,041,000 $435,200 $489,000 $924,200 Purchasing Strategic need Establish global sourcing agreements Order fulfilment Reve Read More...
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

bi huge data warehouse  the data warehouse and BI space? The number one advance to date is massively parallel processing, or MPP. Without it we could not possibly cope with the ever-increasing data volumes and analytic complexity that business applications command. While Moore’s Law , which dictates that processing power doubles every two years, is still valid for most applications, it does not ring true in the data warehousing space, where data volumes double every year. There are a number of advances that compete for number Read More...
Achieving Business Intelligence (BI) in Midsize Companies
Like many of today’s IT decision makers, you may be considering a business intelligence (BI) solution for your midsize company. But how do you go about adding

bi huge data warehouse  complex company, then your BI system is likely to be huge and complex also. Big companies accept this as a fact of life simply because everything in a big company is big and complex. Payroll systems. Accounting systems. Customer relationship management (CRM) systems. Enterprise resource planning (ERP) systems. Asset tracking systems. Heck, just filing an expense report in a big company can be like trying to pass a bill in Congress— everything is complicated. To a large degree, big companies can''t avoid Read More...
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

bi huge data warehouse  Chain Data SCM | BI Data | BI Data Cleansing | BI Consumer Data | BI Precise Data Cleansing | BI Data Quality | BI Data Cleansing Tools | BI Data Cleansing Solutions | BI Accurate Data | BI Source Data | BI Data Warehousing | BI Data Scrubbing | BI Outsource Data Cleansing | BI Data Bureau Services | BI Data Cleansing Software | BI Data Transformation | BI Consumer Database Cleaning | BI Cleansing Data Warehouse | BI Data Cleansing Services | BI Data Discovery | BI Data Profiling | BI Data Analysis | BI Read More...
Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you''ll learn how to save money by using less electricitywhether your data cente...

bi huge data warehouse  implementing energy efficient data centers,implementing,energy,efficient,data,centers,energy efficient data centers,implementing efficient data centers,implementing energy data centers,implementing energy efficient centers,implementing energy efficient data. Read More...
SAS/Warehouse 2.0 Goes Live
SAS Institute has announced the production availability of SAS/Warehouse Administrator software, Version 2.0. This new version provides IT the ability to

bi huge data warehouse  has announced the production availability of SAS/Warehouse Administrator software, Version 2.0. Demonstrated at the Data Warehousing Institute conference in Anaheim, Calif., this new version provides IT the ability to proactively publish data warehouse information and track its usage, plus aggressively manage the process of change in the data warehouse. Data warehouses and data marts have become a vital component of all successful data mining, knowledge management, business portal, e-intelligence, Read More...
Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are

bi huge data warehouse   Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

bi huge data warehouse  data quality solution,enterprise information management,enterprise information management strategy,enterprise information management definition,enterprise information management framework,enterprise information management software,data quality maturity,data quality software,open source data quality software,data quality,data quality tools,customer data quality,data quality metrics,data quality management,data quality objectives Read More...
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

bi huge data warehouse   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

bi huge data warehouse  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...
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

bi huge data warehouse   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

bi huge data warehouse  (order entry, billing, shipping), BI (reporting, analytics), planning (budgeting, forecasting), and collaborative (e-mail, blogging) applications. All of this data must be structurally and semantically consistent with its associated technical and business rules. One of the main objectives of a data quality program is to assess and correct data consistency and accuracy problems caused by applications that do not fully enforce those rules. Most data quality initiatives focus almost exclusively on Read More...
The Path to Healthy Data Governance through Data Security
Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business

bi huge data warehouse  an information security perspective: Availability. Ensuring the right data is available to the right people. Confidentiality. Maintaining data secure from undesired internal and external exposure. Integrity. Maintaining the accuracy and validity of data at all times. Security. Ensuring data is safe from internal and external threats. Striking the right balance between availability and confidentiality is important. An organization needs to keep information safe from undesired exposure, but at the same Read More...

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