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Showing posts with label
Database
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Showing posts with label
Database
.
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...
1 comment:
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 - 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...
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...
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...
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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...
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...
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...
Better Business Reporting in Excel
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What do you think is the most-used reporting tool in the world? There are a lot of them available, at times it can be hard to move without ...
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...
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 ...
Data Cleansing: boring, painful, tedious and very, very important
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I've been working recently on a category management project and I'm reminded of just how essential clean, well-organized data is. W...
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