Relational Solutions Blog

Reason 9 What Makes POS Difficult for CPG Data Scientists & Analysts?

Posted by Janet Dorenkott on Fri, May 29, 2015 @ 04:01 PM

Relational Solutions knows the nature of business intelligence is that users requests constantly change. In addition, data that is available to the data scientist or analyst today will be different than the data needed over time. 

Anytime there are changes to the source data or change requests from end users, a data analyst is subjected to dealing with those issues related to that change.


Topics: Business Intelligence, POSmart, CPG, data scientist, analyst

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.


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

Reason #6 for What Makes a CPG Analysts Job So Difficult

Posted by Janet Dorenkott on Wed, May 13, 2015 @ 08:30 AM

Retailers make decisions based on their own profitability. Not that they don't consider the consumer goods manufacturer, but ultimately, they have an obligation to their shareholders. The problem for CPG analysts is that they are subject to whatever changes the retailers make. When a retailer decides to add new stores, data integration needs change. When a retailer puts new contractual obligations in place, the CPG manufacturer must accommodate those changes and their reports and analytics needs to be reflective of those changes as well. This is our 6th of a 10 part infographic, blog series on what makes using point of sale data so difficult for business analysts and data scientists in the consumer goods industry. 


Topics: POSmart, analytics, CPG

Reason #5. What Makes a CPG Analyst Job so Difficult?

Posted by Janet Dorenkott on Mon, May 11, 2015 @ 02:47 PM

Many factors, both internal and external  play a role in making an analysts job more complex. Integrating POS data changes with virtually every condition. The type of data you get and how you will align it with internal data changes any time any of these factors change. Companies need to have a solid infrastructure that is designed to handle all  these constant changes in order to be effective. Relational Solutions has listed examples of changes that effect the way you look at data below.


Topics: POSmart, CPG, analyst


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