Relational Solutions Blog

Reason #7. What Makes POS Data so Difficult to work with for CPG Data Scientists?

Posted by Janet Dorenkott on Tue, May 19, 2015 @ 10:04 AM

 

  Point of sale data comes in many different formats. Those formats all need to be transformed into a common data type in order to report off that data. An enterprise architecture needs to be able to extract data, transform the various formats into the same data type and load the data into a format that is easily accessible.

Depending on the database you select for analysis, The various formats listed above need to conform to one single data format. In that process, data needs to be mapped, hierarchies need to be aligned, calendars need to be addressed.

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Topics: Relational Solutions, Business Intelligence, POSmart, Demand Signal Repository, data integration, analytics, CPG, data scientist, analyst

Reason 4: Why CPG Analysts Have Issues Integrating POS Data

Posted by Janet Dorenkott on Thu, May 7, 2015 @ 06:20 PM

Consumer Goods Manufacturers have many complexities associated with using point of sale and syndicated data. One of those issues is, "Where are they going to get the data from?" You can often get EDI files from the retailer, use an EDI translator to make some sense of the data and try to create reports from that. 
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Topics: Business Intelligence, Big Data, POSmart, Data Warehousing, data integration, Omnichannel

Reason #3: Why CPG Analysts Have Issues Integrating POS Data

Posted by Janet Dorenkott on Thu, May 7, 2015 @ 12:24 AM

Business Analysts in the Consumer Goods Industry have the added complexity of integrating internal data with data from outside sources. What makes POS data so difficult for CPG analysts includes multiple retailers along with the varying elements they provide. Second, is missing data, recast data and UPC issues a CPG analyst has to deal with. The third reason is listed below. Follow Relational Solutions in this 10 part infographic series blog designed for consumer goods manufacturing analysists and data scientists to help them explain to management why point of sale data is so difficult to deal with. This will help you explain why it often takes hours, days or even weeks to pull togehter reports.

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Topics: Business Intelligence, Big Data, POSmart, Data Warehousing, data integration, Omnichannel

Reason #2: Why CPG Analysts Have Issues Integrating POS Data.

Posted by Janet Dorenkott on Wed, Apr 22, 2015 @ 12:00 PM

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What makes integrating and reporting off of point of sale data so difficult for business analysts at a consumer goods manufacturer? There are many reasons. The first reason we posted explained the varying data elements provided by each retailer, syndicated data provider or other data source. This explains that different data sources also have different reliability. One data source might be very dependable. Then one day, when you're not having trouble with your typical, troublesome data sources, the reliable one has issues.  Hence, the frustration.

When you are dependent on so many other data sources to provide you with the content for your reports, you are subject to whatever data issues, networking issues, resource availability, and so forth, that they are having in addition to your own. POSmart enterprise foundation provides CPG Manufacturers with an infrastructure that fixes these issues. 

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Topics: Business Intelligence, Big Data, POSmart, Demand Signal Repository, data integration, analytics, CPG

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