Data Warehousing with Microsoft SQL Server 2008 R2

Data Warehousing with Microsoft SQL Server 2008 R2

Microsoft SQL Server 2008 R2 is one of the most reliable Data Warehouse platforms for building business intelligent solutions. When integrated with the Microsoft BI platform, it helps in implementing propelling business decisions at a low rate. At Aegis Software, our years of experience in offering BI solutions has enabled our developers to capitalize on the benefits of SQL Server 2008 and squeeze out the most from this collaborative and productive environment.

Using this platform, we can create data warehousing software that matches with the requirements of our clients through capitalizing on the numerous features of SQL Server 2008 R2.
SQL Server 2008 R2 offers one of the fastest ETL tools and can easily be connected to non-SQL Server data sources such as Teradata, DB2 mainframe, Teradata and ERP Systems.
It offers a scalable architecture that offers a multi-thread 64bit platform to convert large data volumes to narrow batch windows for a data warehousing software.
Microsoft SQL Server 2008 R2 offers BI tools that allow integration with SQL Server Analysis Services to help develop Analysis Services cubes.
The Microsoft .Net framework provides extensibility through customized scripts and components that are directly incorporated into the data integration flow in the data warehousing software.
Growing volumes of data can be integrated through lookups on large tables that include customer dimensions.
The built-in data profiling enable one to profile the source and target data within the data warehousing software.
SQL Server 2008 R2 offers a complete management environment that helps in monitoring, controlling and modulate all related services and databases across the enterprise.
Data compression can be utilized to minimize the storage costs and also increase query performance of the data warehousing software.
Microsoft SQL Server 2008 R2 also offers an integrated view of all the business data encompassing OLAP analysis, traditional reporting, Key Performance Indicators, data mining and scorecards.
Different data mining mo dels can also be utilized to gain an insight into one’s business and the data mining capabilities can be capitalized through the addition of customized algorithms.
This particular BI solutions platform offers an analytical engine, which can deal with a large amount of analytical data sets.

At Aegis Software we understand building BI applications is about thoroughly understanding the requirements and accordingly adapting and utilizing the latest BI tools to implement the desired objectives. Therefore, our team of professional BI applications developers is conversant with this particular data-warehousing platform and can build robust BI applications capitalizing on the strengths of Microsoft SQL Server 2008 R2. The wide suite of features displaying different kinds of BI tools are perfect to develop, implement and execute successful Business Intelligence Software. At Aegis Software we believe in offering scalable BI solutions through the development of robust, low cost and extremely credible data warehousing software and Microsoft SQL Server 2008 R2 helps us achieve this objective successfully.

Aegis Software is USA based IT outsourcing firm offers Reliable Microsoft Business Solutions with the help of Microsoft based tools and technologies. They also offers .Net development and consulting services for BI solutions, Web development and customized software solutions

 

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CRM Software

CRM Software

Top Rated Web CRM software for small business and SME Offers additional CRM solutions for SFA, Marketing, Lead Management, Quoting, and Outlook.

Commence is one of the only CRM vendors that offers its customers the freedom of choice to deploy the CRM software as a hosted CRM solution or online over the Internet as a web CRM system. The online customer management software may be integrated with popular accounting packages such as Quickbooks or ERP systems.

This world-class Customer Management Software is designed to address three specific business challenges, first, the capture, management and sharing of vital customer and prospect information; second to improve how they sell and deliver products and services to the market; and third, the ability to provide world-class customer service.

Commence CRM Management software has proven to deliver extensive value and is utilized by several thousand businesses to manage their customer relationships.

What is unique about the Commence CRM software is that all information captured via the telephone, fax –e-mail or the web is stored in a single centralized CRM database where it is immediately available to the people and departments that require it to efficiently do their jobs. This makes customer management a breeze as there is no scrolling for data or skipping from screen to screen. This web CRM software has also delivered extensive value in the areas of lead management and lead distribution, sales management, SFA functionality, sales optimization, forecasting and analytics. The analytics reporting capabilities provide the user of this online CRM software

This makes customer management a breeze as there is no scrolling for data or skipping from screen to screen. This web CRM software has also delivered extensive value in the areas of lead management and lead distribution, sales management, SFA functionality, sales optimization, forecasting and analytics. The analytics reporting capabilities provide the user of this online CRM software

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Data warehousing Training Institutes in Bangalore

Data warehousing Training Institutes in Bangalore

The Data Warehousing Institutes provides education, training, certification, news, and research for executives and IT professionals across the world. These training institutes are the premier educational institute for business intelligence and data warehousing.

 

A data warehouse (DW) is a database used for reporting. The data is offloaded from the operational systems for reporting. The data may pass through an Operational Data Store (ODS) for additional operations before it is used in the DW for reporting.

 

A data warehouse maintains its functions in three layers: staging, integration and access. A principle in data warehousing is that there is a place for each needed function in the DW. The functions are in the DW to meet the users' reporting needs. Staging is used to store raw data for use by developers (analysis and support).

The integration layer is used to integrate data and to have a level of abstraction from users. The access layer is for getting data out for users.

 

This definition of the data warehouse focuses on data storage. The main source of the data is cleaned, transformed, catalogued and made available for use by managers and other business professionals for data mining, online analytical processing, market research and decision support. However, the means to retrieve and analyze data, to extract, transform and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform and load data into the repository, and tools to manage and retrieve metadata.

 

Data warehousing arises in an organization's need for reliable, consolidated, unique and integrated analysis and reporting of its data at different levels of aggregation.

 

The practical reality of most organizations is that their data infrastructure is made up by a collection of heterogeneous systems.

For example, an organization might have one system that handles customer-relationship, a system that handles employees, systems that handle sales data or production data, yet another system for finance and budgeting data, etc. In practice, these systems are often poorly or not at all integrated and simple questions like: "How much time did sales person A spend on customer C, how much did we sell to Customer C, was customer C happy with the provided service, did Customer C pay his bills?" can be very hard to answer, even though the information is available "somewhere" in the different data systems.

 

Another problem is that enterprise resource planning (ERP) systems are designed to support relevant operations. For example, a finance system might keep track of every single stamp bought; When it was ordered, when it was delivered, when it was paid and the system might offer accounting principles (like double entry bookkeeping) that further complicates the data model. Such information is great for the person in charge of buying "stamps" or the accountant trying to sort out an irregularity, but the CEO is definitely not interested in such detailed information, the CEO wants to know stuff like "What's the cost?", "What's the revenue?", "Did our latest initiative reduce costs?" and wants to have this information at an aggregated level.

 

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