Relational Solutions Blog

Relational Solutions Awarded Best in CLE

Posted by Karen Kurtzweil on Tue, Dec 20, 2016 @ 02:00 PM

Relational Solutions, Inc. has been selected four years in a row for the 2016 Best of Cleveland Awards for Data Integration and Business Intelligence Consultants and now qualifies for the Cleveland Business Hall of Fame.

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Topics: Business Intelligence, POSmart, data integration

Relational Solutions Turns 20! Happy Birthday!

Posted by Janet Dorenkott on Mon, Jan 4, 2016 @ 01:11 PM

taming_chaos.jpgIn 1996, Mark Zuckerberg was 11 years old. HTTP was officially introduced. Ask.com was created. Netgear, Cyberlink, Qwest and Good Technologies were introduced. Hotmail was introduced. Myspace.com came online. Google was developed. Sony introduced VAIO. The 1st Java Development Kit was released. HTTP was officially introduced. Corel acquired WordPerfect & Quattro Pro from Novel. And Relational Solutions was born!

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Topics: Business Intelligence, Data Warehousing, data integration, ETL

Big Data 101-Part 1

Posted by Janet Dorenkott on Mon, Sep 28, 2015 @ 09:32 PM

 

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Topics: Big Data, Data Warehousing, data integration

Implementing & Managing the Demand Signal Management Process

Posted by Janet Dorenkott on Sun, Aug 2, 2015 @ 06:30 PM

One misconception is that retailers send clean data. This simply is not the case. The cleansing and validation of the data is critical. Invalid data will give you invalid results. Retailers often send incomplete data. They also send duplicate data. In addition, they tend to “recast” previously sent data. Thus, how does one distinguish between duplicate and recast data? How do you identify missing fields? How is it rectified and re-loaded? What are the business rules? How is it modeled for reporting that is specific to Point-of-Sale data? Can it be integrated with internal data such as shipments, forecasts, budgets, etc.? How do you identify and analyze promotions? How can you predict problems before they impact your bottom line? Do you have the time and knowledge to shift through all this data to find only the nuggets that contain actionable information?

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Topics: Business Intelligence, Big Data, POSmart, Data Warehousing, Demand Signal Repository, data integration, analytics, data scientist, analyst

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