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Business Intelligence (BI)
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Documents related to » implementing real time data warehousing olap


The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

implementing real time data warehousing olap  the technical difficulties of implementing a true real-time data warehouse, there are some advantages. It shortens information delivery times. It improves integration throughout the organization. It eases the analysis of future trends. Basic Principles to Consider With the growing popularity and increasing implementation of real-time data warehouses, it is important to consider some basic principles when considering a real-time data warehouse implementation. Data on Time, at the Right Time . The data Read More...
Attaining Real Time, On-demand Information Data: Contemporary Business Intelligence Tools
Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization

implementing real time data warehousing olap  feel somewhat better about implementing cumbersome ERP and other enterprise systems. Indeed, many enterprises have already deployed some BI products too, such as querying and reporting tools, planning and budgeting applications, analytic applications, incentive management systems, portals, dashboards, and scorecards, along with data warehousing technology, data models, and integration software, and whatnot. In fact, anyone stocktaking technology inventory will likely find some CPM components already in Read More...
Microsoft Takes A Shot at the Business Intelligence Market
Microsoft Business Scorecard Manager 2005 has allowed Microsoft to enter the business intelligence (BI) market by using its client base to expand its offering

implementing real time data warehousing olap  some cases, this means implementing various applications and vendor solutions based on the needs identified within individual departments. For example, an organization may implement a Cognos solution to manage its sales force performance, and a Hyperion solution because of its strong financial consolidation functionality within the finance department. As BI has changed to accommodate real-time data analysis, and to provide forward-looking business planning and strategies, the need to bring a single set Read More...
Open Source Business Intelligence: The Quiet Evolution
As organizations face a pressing need to rationalize the cost of enterprise software, open source business intelligence (BI) is fast becoming a viable

implementing real time data warehousing olap  of its core projects, implementing open industry standards and establishing partnerships with vendors of data warehouse technology, such as InfoBright and ParAccel . BI has some of the most challenging technology problems among all enterprise software applications. These challenges include the design of very large databases; complex data integration between disparate and multiple data sources; the ability to search across a surfeit of information; and some of the most stringent performance and latency Read More...
Business Intelligence Success, Lessons Learned
Is business intelligence (BI) an application that pays off? We have all heard mixed results but a 2003 extensive study on on-line analytical processing (OLAP

implementing real time data warehousing olap  19 percent of companies implementing BI claim they have met or exceeded their business goals. Over 60 percent state they have at least largely met their goals. As always, soft benefits were more easily obtainable than hard benefits. A detailed look at the types of benefits reveals the following: Benefit % Companies Realizing Benefit Faster, more accurate reporting 81 Improved decision making 78 Improved customer service 56 Increased revenue 49 Savings in non-IT costs 50 IT savings 40 When the statistics Read More...
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

implementing real time data warehousing olap  private cloud backup,private cloud data management,private cloud,backup software,data protection Read More...
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian''s master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.

implementing real time data warehousing olap  markets that are considering implementing a Siperian CDI hub should evaluate and compare the vendor''s offerings to other vendors that are more mature within these markets. In addition to market penetration presenting a challenge to Siperian, data hubs built based on industry-specific needs may not be as advanced as those of Siperian''s competitors, and therefore might require more customization within user organizations. The focus on an organization''s CDI solutions within an MDM framework poses a Read More...
ESG - Riverbed Whitewater: Optimizing Data Protection to the Cloud
Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed

implementing real time data warehousing olap  the cloud,data protection,cloud service,data assurance,data protection software,cloud computing service providers,service cloud,data quality assurance,cloud service providers,cloud storage service,data protection virus,in the cloud,cloud backup service,data protection manager,continuous data protection Read More...
An Architect''s Evaluation of Form and Function—the Dimensional Data Model
A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect

implementing real time data warehousing olap  dimensional data model, Clarity Solutions, data management, data analytics, data architect Read More...
Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both

implementing real time data warehousing olap  DCIM, data center, data center infrastructure management, DCIM management, DCIM software, DCIM software tools, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center life cycle, data center facility operations, data center PUE, PUE, data center physical infrastructure, data center infrastructure outsourcing Read More...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

implementing real time data warehousing olap   Read More...
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

implementing real time data warehousing olap   Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company''s bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

implementing real time data warehousing olap  business intelligence architecture,business intelligence data warehouse,change data capture,customer data,customer data integration,data cleaning,data cleaning software,data cleansing,data cleansing data,data cleansing definition,data cleansing service,data cleansing services,data cleansing software,data cleansing solution,data cleansing solutions Read More...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

implementing real time data warehousing olap  big data analytics,about data mining,advanced analytic,advanced analytics,advanced analytics definition,advanced analytics techniques,advanced data analytics,analytic data,analytic database,analytic databases,analytical data,analytical database,analytical software,analytics,analytics business Read More...

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