A cell range, Excel table, PivotTable report, or PivotChart report can all be connected to an external data source. You can refresh the data to update data from this external data source. Each time you refresh data, you see the most recent version of the information in the data source,...
Download this white paper to learn how you can minimize the five most common data migration challenges associated with SAP implementations: Identifying and analyzing source data Accessing source data Addressing data quality in legacy applications Preparing and loading data into SAP Supporting...
Data is one of the most valued assets associated with mergers and acquisitions (M&A), yet techniques for properly integrating data often are misunderstood and the importance of data understated. "Managing Your Data Tightly Through an M&A Event" discusses the key risks and challenges associated with data integration and explore ways...
The main benefit of connecting to external data is that you can periodically analyze this data in Microsoft Office Excel without repeatedly copying the data, which is an operation that can be time-consuming and error-prone. After connecting to external data, you can also automatically refresh or update your Excel workbooks...
Sorting data is an integral part of data analysis. You might want to organize a list of names in alphabetical order or you might want to compile a list of product inventory levels from highest to lowest. Sorting data helps you understand your data better, organize and find the data...
In most cases, the data is transactional data pulled from a number of different applications in the enterprise, but it can be any type of data. The goal of a data warehouse is to provide an enterprise with high quality information that they can use to make tactical and strategic...
In today's technology-oriented business environment, management of strategic data is critical to the very survival of an organization. The paper examines data management as the next phase of outsourcing. It discusses the key points related to this issue such as, which areas of data management fit best with an outsourcing...
A data warehouse consists of a set of materialized views defined over a number of data source, collects copies of data from remote, distributed, autonomous and heterogeneous data sources into a central repository to enable analysis and mining of the integrated information. Data Warehousing and On-Line Analytical Processing OLAP are...
CARY, N.C. -- DataFlux Corporation, a leading provider of data management solutions, today announced the availability of an integrated enterprise data management platform that includes the tools necessary to analyze, improve and control any corporate data. DataFluxR Release 6.2 provides a comprehensive platform for data quality improvement, giving companies the...
In the age of compliance, there's a heightened interest in data management, data cleansing, and data warehousing. "Data governance" appears to be the catchphrase of the day to describe this new emphasis. Sarbanes-Oxley is also changing how companies aggregate data. In the past, everyone sent their spreadsheets to the CFO,...
Sorting data is an integral part of data analysis. You might want to put a list of names in alphabetical order, compile a list of product inventory levels from highest to lowest, or order rows by colors or icons. Sorting data helps you quickly visualize and understand your data better,...
The analysts needed to take existing year-end financial reports and summarize, group, and chart the data in various ways to present to their organizations' business decision makers. Data analysts rely on Microsoft Excel to connect to, display, and format data. However, copying and pasting data between cell ranges or between...
Hitachi Data Systems and Data Islandia Partner to offer Large Volume, Long-term Data Archival Services to Multinational Organisations in Carbon Emission Free Facilities
Data Warehouses are fundamentally about bringing disparate data together into a centralized repository to support different business uses. When such data involves information about people, organizations, customers, contacts, households, addresses, locations, products or any other identification data, some form of intelligent data matching will be required as the data will...
Data integration technology is the key to pulling this data together and delivering an information infrastructure that will meet strategic Business Intelligence BI initiatives. This information infrastructure consists of data warehouses, data marts, and operational data stores. They include capabilities such as metadata integration, ongoing updates and maintenance, access to...
How are you addressing the single most difficult problem facing data warehouses? Data Quality. When the quality of data is compromised incorrect interpretation and use of information from your data warehouse can destroy the confidence level of its customers, your users. Once the user's confidence in your warehouse is eroded...
An external data range is data from a separate source, such as a Microsoft Access or SQL Server database, that you've brought into Microsoft Excel. You can format the data in Excel and add formulas in adjacent columns to perform calculations on the data. You can publish an external data...
The fundamental premise for measuring an organization or project is to collect data directly related to the objectives of the company. To help organizations focus on the desired measurements, a distinction is made between two general categories: hard data and soft data. This white paper provides a description and general...
There are many ways to share, analyze, and communicate business information and data in Microsoft Office Excel 2007. The way that you choose to share data depends on many factors, including how you want others to view or work with the data. This paper is an overview that discusses how...
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