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                                <h2>BUSINESS INTELLIGENCE SERVICES</h2>
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                        <h2>SSIS: SQL Server Integration Services</h2>
                        <p>
                            SSIS stands for SQL Server Integration Services. The key power of SSIS is its data transformation and migration capability. The data extraction, transformation and loading are known as ETL and is a common term in data migration and Business Intelligence.
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                        <p>Using Microsoft SQL server integration services, we can help you effectively and efficiently integrate both Microsoft and non-Microsoft data sources to extract, transform and load (ETL) data across your key business data constellations.
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                        <h2>Is SSIS a Good ETL Tool for You?</h2>
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                            According to many users, SSIS is the top ETL tool on the market. Users have commented on Trust Radius that it is ETL’s “best buddy for skilled SQL developers,” “terrific for ETL,” and many other similar compliments.
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                        <p>Still, is SSIS really the ideal option?</p>
                        <p>SSIS is ideal for developers and companies with large, complex data volumes. Developers working with SSIS typically use Visual Studio and write many lines of complex code with a big margin for error. While many consider it an excellent
                            tool for ETL, there are alternatives that may be better depending on your needs.
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                        <h2>SSAS: SQL Server Analysis Services – Analytics
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                            Use our Microsoft SQL Server Analysis Services to efficiently identify and build a wide range of complex analytics solutions to help your company quickly and effectively respond to changing business needs and market opportunities.</p>
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                        <h2>The DOB Approach
                        </h2>
                        <p>Your DOB Microsoft SQL Server Analysis Services expert will:
                        </p>
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                                Review your needs and identify up to five dimensions with one fact table
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                            <li>
                                Build one SSAS cube and deploy it for end users to access

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                                Review data sources and potential data integration needs

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                                Provide an overview of methodology and best practices for future analytics

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                                Provide monitoring and performance support through our Virtual DBA service

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