Relational Solutions Blog

Why Should We Care About POS (Data)?

Posted by Janet Dorenkott on Sun, Jul 12, 2015 @ 07:00 PM

POS data provides a strategic advantage for many consumer goods companies. In the past, many companies used their shipment or order information to estimate how much they were selling. They may have just purchased data from third party data providers along with the reports and thought that if it helped category teams, that’s all that mattered.


Topics: Relational Solutions, Big Data, Demand Signal Repository, data integration, CPG, E-Book

What Is Demand Signal Management?

Posted by Janet Dorenkott on Mon, Jul 6, 2015 @ 10:16 AM

A Demand Signal Management is a methodology whereby demand data comes in from many sources and technology and processes organize that data in such a way that it is easy to manage and report off of the data. Demand Signal Management is not simply a reporting tool. It is also not simply a database full of demand level/point of sale data. It encompasses the entire manner in which data is integrated, cleansed, harmonized, modeled and distributed.


Topics: Big Data, Data Warehousing, data integration, CPG, analyst

Reason 10 What Makes POS Data Difficult for Data Scientists & Analysts

Posted by Janet Dorenkott on Mon, Jun 22, 2015 @ 02:00 PM

The lack of an integrated, enterprise demand signal management process is the reason it’s so difficult to work with point of sale & syndicated data. With a truly open, flexible and manageable process in place, new data, new retailers, changing data elements, various data types, and so forth, all become much more valuable. An enterprise demand management process should integrate with your existing data warehouse to leverage value that already exists. With a sound architecture, CPG companies will realize a fast ROI and put an infrastructure in place that will address todays reporting and analytics needs, as well as on-going insight requirements. Sometimes referred to as a DSR, Demand Signal Repository, however, it should be considered a process that leverages an open architecture.

The lack of an integrated, enterprise demand signal management process makes life more complicated than necessary for data scientists and any analyst to perform business intelligence & gain insights


Topics: analytics, CPG, data scientist

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


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