Over the last few months I've been exploring the features I want to see in a next generation platform for point of sale analytics: It...

Under old world analytics, you move data from the DSR to your analytic server, build models, then write results (sometimes models too) bac...

Current Demand Signal Repositories don't play well with others. Their data is locked away behind layers of security and you can only a...

You need not always build your analytic tools, sometimes you should buy in. If the chosen application does what you need that often makes g...

To handle real Analytics (see my recent post  Reporting is NOT Analytics ) you need real Analytic power. BI tools are based on the languag...

I've written a number of posts now on the next generation of Demand Signal Repositories. DSRs are the specialized database and report...

My most recent post on Demand Signal Repositories bemoaned their general lack of ability to rapidly ingest new and interesting data sourc...

Over the last few months I've written a series of posts on Demand Signal Repositories.  These are the specialized database and reportin...

In my recent post on The right tools (structured) BIG DATA handling , I looked at using AWS Redshift to generate summaries from a large fa...

Recently, I have been working with a new-to-me BI tool that has reminded me just how much speed matters.  I'm not mentioning any names h...

This post continues my look at the Next Generation DSR .  Demand Signal Repositories collect, clean,  report-on and analyze Point of Sale da...

Today, I'm coming back a little closer to the series of promised posts on the Next Generation DSR  to look at some benchmark results for...

Last week, I posted my thoughts on how new technology enables a simpler and faster database to support your DSR applications. Next Generatio...

This post continues my look at the  Next Generation DSR .  A DSR (Demand Signal Repository) holds data, typically Point of Sale data,  and t...