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Beware of Legacy Data - It Can Be Lethal
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

example of analyzed data  to SAP IS_U. An example might be a website for a specific group of customers that needed the basic data of those customers, to be able to have a meaningful dialogue on the website. The technical integration with SAP IS-U did succeed. But it didn't work out well... When a customer started using the website, he would typically see only part of his data. The reason: lots of customers had multiple customer records, each telling part of the truth about the customer. The explanation: one customer record might c Read More...
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Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
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Documents related to » example of analyzed data


Comparing the Total Cost of Ownership of Business Intelligence Solutions
For many companies, traditional business intelligence (BI) software is costly and resource-intensive. So are open source alternatives that require significant

example of analyzed data  be cleaned and transformed. Examples of such cleansing and transformation operations include: bad record rejection, missing value handling, parent-child hierarchy unrolling, time-based sequence analysis, special-purpose business logic, custom record-matching and lookups, etc. In both on-premise and Open Source BI toolsets, data transformation and cleansing is accomplished using independent ETL tools (e.g. Kettle.) These tools are designed for generalized data movement that involve the following steps: att Read More...
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

example of analyzed data  the organization is an example of how data integration is applied in organizations. Sub-sets of data from disparate locations within the organization are loaded into the centralized structure of a data warehouse or dedicated database. This centralized structure creates a specified view of data to measure an organization's performance, to generate reports, to provide analytics, and so forth. Not all data integration is equal when it comes to CDI. Different forms of data integration are used within differen Read More...
Content Is King-Applying Intelligence to Unstructured Data
On March 23, I have the opportunity to lead a seminar at the info360 conference in Washington, D.C., on the use of business intelligence (BI) applications and

example of analyzed data  techniques, helping companies, for example, dig into blogs and other communication channels, and discover valuable insights for the organization. Additionally, social media networks, such as Twitter and Facebook , can be tapped into by applying BI and analytics techniques to data that resides outside an organization to measure trends in market demands and the positions of various types of brands. Nowadays, information is an asset to any organization, regardless of whether it resides inside or outside the Read More...
Asset Data for Accurate Lifecycle Management
Among the areas where modern enterprise asset management (EAM) systems provide substantial benefits is the driving out of inefficiencies in business processes

example of analyzed data  could. It is another example of the fundamental importance of effective maintenance policies. When applying measurement programs to asset management or maintenance, companies generally look directly to direct performance measures. These are things such as failure rates, mean time to repair, availability, quality and a whole list of other measures of how a machine is operating at any given time (often trended to give a view of improvement or deterioration). These are perfectly reasonable measures, and they Read More...
Microsoft Goes Their Own Way with Data Warehousing Alliance 2000
Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data

example of analyzed data  show spotty representation. For example, in the enterprise resource planning space, Baan NV is represented, but SAP AG and PeopleSoft are not. In the area of supply chain analytics, the only vendor represented is Manuguistics Inc. User Recommendations We recommend that customers evaluate this solution cautiously, and only after the solution has been implemented numerous times and after interviews with reference accounts. Microsoft is notorious for the problems encountered in early releases of their Read More...
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting

example of analyzed data  Integration: Creating a Trustworthy Data Foundation for Business Intelligence Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. BEGINL Read More...
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

example of analyzed data  Evolution of a Real-time Data Warehouse The Evolution of a Real-time Data Warehouse Jorge Garcia - December 23, 2009 Understanding Real-time Systems Today, real time computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system Read More...
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

example of analyzed data  from the Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More...
Soaring across the Regions: A View of the Impact of the Internet on Business
The Internet offers companies the opportunity to present a commercial image independent of size and location. With this and the Internet’s ability to extend a

example of analyzed data  across the Regions: A View of the Impact of the Internet on Business The Internet offers companies the opportunity to present a commercial image independent of size and location. With this and the Internet’s ability to extend a business’s reach, it is valuable to know precisely what various Internet service providers (ISPs) offer before buying. This includes evaluating service level and support capabilities and understanding how these vary throughout the United Kingdom (UK). Find out more. Read More...
The Role of Sales Training Requirements Definition and Requests for Proposals in the Success of Technology Companies
The first step in choosing an effectiveness service provider (ESP) that best meets your company's needs is to develop a requirements definition. When used as a

example of analyzed data  a company that, for example, generates $30 million in sales and $4.5 million in earnings, two training events per year represent an incredible 4.8 percent of annual earnings! Where else in the organization can your spend 1 percent of revenue or 4.8 percent of earnings without a business plan outlining the requirements and benefits, an action plan to track results, and some type of RFP with performance criteria issued to competing vendors? A twice annual sales training event approaches the total informatio Read More...
Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever
Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online

example of analyzed data  data warehouse model,data warehouse software,enterprise data warehouse,olap database,olap tools,data warehouse concepts,data warehouse schema,data warehouse system,data warehouse tools,data warehouse training,olap data warehouse,building a data warehouse,building the data warehouse,business intelligence olap,data warehouse data mart Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

example of analyzed data   Read More...
The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

example of analyzed data  into useful information. Some examples: Data storage peripherals such as DASD (Direct Access Storage Device) were extremely expensive on a per-megabyte basis. Therefore, much of the needed data was stored offline, typically on magnetic tape. Processing power was very expensive as measured in MIPS (Millions of Instructions per Second). Mainframes had to reserve most of their processing power for day-to-day operations, reports could only be run overnight in batch mode (without interaction from the user). Re Read More...
Forecasting Total Cost of Ownership for Initial Deployments of Server Blades
For organizations deploying many servers, total cost of ownership (TCO) analyses favor blade over rack-optimized systems. Blade server systems—reducing both

example of analyzed data  Total Cost of Ownership for Initial Deployments of Server Blades For organizations deploying many servers, total cost of ownership (TCO) analyses favor blade over rack-optimized systems. Blade server systems—reducing both capital and operating expenses—exploit economies of scale when deploying servers in volume. Saving power, cooling, and space by more than 25 percent, the blade advantage is particularly relevant for servers working in conjunction with storage area networks (SANs). Read More...

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