Relational Solutions Blog

Relational Solutions Receives CGT 2016 Readers Choice Award

Posted by Janet Dorenkott on Mon, Feb 8, 2016 @ 03:42 PM

Once again readers rank POSmart Enterprise DSR as having made a significant impact for Consumer Goods Manufactures. We are pleased to be named one of Consumer Goods Technology “Demand Data Analytics" Award winners.


Topics: Business Intelligence, Demand Signal Repository, CPG

The POS Data Dilemma

Posted by Janet Dorenkott on Sun, Jul 19, 2015 @ 07:00 PM

The POS data dilemma is notorious. Every manufacturer knows that data arrives at different times from different retailers and third party sources in different formats. Data comes at sporadic times of the month, in a multitude of different formats with varying information. On top of that, retailers restate data, products change categories, duplicate data comes in, etc. All of these things are difficult and cumbersome to manage.


Topics: Relational Solutions, Business Intelligence, Big Data, Demand Signal Repository, blog, data integration, CPG, analyst

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


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