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Showing posts with label
Big-Data
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Showing posts with label
Big-Data
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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...
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...
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 - 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...
2 comments:
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...
2 comments:
The right tools for (structured) BIG DATA handling (update)
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A couple of weeks ago, I ran a somewhat rough benchmark to show just how much faster large database queries can run if you use better tools....
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...
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...
Better Business Analytics - Christmas list
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It's that time of year again: my kids have written, re-written and re-re-written their Christmas lists now so we all hope Santa will r...
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...
Do you need daily Point of Sale data? Do you like selling more product?
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Most people report on their Point of Sale data in weekly or perhaps even monthly buckets . If you are interested in seeing a long-term tren...
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Point of Sale Data – Supply Chain Analytics
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I’ve spent a large part of my career working in Analytics for Supply Chain. It’s an area blessed with a lot of data and I’ve been able to...
Point of Sale Data – Sales Analytics
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I’m assuming that you now have a DSR (see [ Point Of Sale Data - Basic Analytics ] ) so you can manipulate the large quantities of data ne...
Point of Sale Data – Basic Analytics
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You've got access to Point of Sale Data…now, what are you going to do with it? For the purpose of this blog entry, I’m assuming th...
Bringing your analytical guns to bear on Big Data – in-database analytics
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I've blogged before about the need to use the right tools to hold and manipulate data as data quantity increases ( Data Handling the Rig...
Reporting is NOT Analytics
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Reporting is about what happened; Analytics is about answering "what if" and "what's best" questions. Most of the...
Data handling - the right tool for the job
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Microsoft Excel must be the most widely used analytic tool available today but, it’s not the only tool in my tool-bag and it should not ...
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