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Showing posts with label DSR. Show all posts
Showing posts with label DSR. Show all posts

Next Generation Point of Sale Analytics

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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...
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Next Generation DSRs - Bring the Analytics to the data

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

Next Generation DSRs - Analytic Freedom !

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

Next Generation DSRs - An Analytic name is not enough

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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...

Next Generation DSRs - Analytic power !

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

Next Generation DSRs - Reporting is NOT analytics

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

Next Generation DSRs - data blending (part 2)

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

Next Generation DSRs - data blending

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

The right tools for (structured) BIG DATA handling - more Redshift

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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...

Next Generation DSRs - it's all about speed !

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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...

Next-Generation DSRs (multi-retailer)

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

The right tools for (structured) BIG DATA handling - columnar, mpp and cloud - AWS Redshift

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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...

Next Generation DSRs - Scale Out !!

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

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

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CPGs have had access to Point of Sale (POS) data now for many years and many of them use a Demand Signal Repository ( DSR ) to gather, clean...
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Back to blogging on "Better Business Analytics"

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It's been quite a while, just over 12 months in fact since my last blog post.  In that time, I've been hard at work developing analy...

The right tools for (structured) BIG DATA handling

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Here's the scenario: you are a business analyst charged with providing reporting and basic analytics on more data than you know how to h...

Business Analytics - The Right Tools For The Job

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Whether your analytic tool of choice is Excel or R or Access or SQL Server or ... whatever,  if you've worked a reasonable range of ana...

Ignore SNAP and your product may not be on the shelf when it's most needed - and that means lost sales.

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SNAP is the “Supplemental Nutrition Assistance Program” (formerly known as “Food Stamps”) in the United States which puts food on the table...

SNAP Analytics (2) - Purchase Patterns

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Roughly 15% of the United States population receives SNAP funding to help pay for food and beverage items.  We know that when SNAP (food sta...