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Retail Analytics

Home » Archive by Category "Retail Analytics"
09 Mar
Data Analysis, Data Viz, Retail Analytics

Stop Wasting Time with Vanity Reports and Create Actionable Insights

  • March 9, 2023
  • By author-avatar Lisa Riannson
  • 0 comments
Many companies are implementing self-service reporting for the variety of benefits discussed in our previous article “Analyze, Pivot or Die: 4 Reasons Why Every Company...

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16 Feb
Data Analysis, Retail Analytics

Extend Your Company’s Life: Clean Your Data!

  • February 16, 2023
  • By author-avatar Izolda Fetko
  • 0 comments
In the previous article, "'Healthy' Data: A Must for BI Reporting", we explained the importance of data quality in business intelligence reporting, as well as the conce...

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09 Feb
Data Analysis, Retail Analytics

“Healthy” Data: A Must for BI Reporting

  • February 9, 2023
  • By author-avatar Izolda Fetko
  • 0 comments
Modern business intelligence (BI) platforms have made report building look and feel easy. Analysts can practically take any piece of data available today and analyze it...

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02 Feb
Data Analysis, Data Viz, Retail Analytics

Analyze, Pivot or Die: 4 Reasons Why Every Company Needs Self-Service Reporting

  • February 7, 2023
  • By author-avatar Lisa Riannson
  • 0 comments
One of the current trends in business intelligence (especially within the current challenging macroeconomic environment) is the increasing demand for self-service repor...

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19 Oct
Applied Data, Data Analysis, Retail Analytics

Implementing the advanced incremental refresh on big datasets- Part 3

  • February 7, 2023
  • By author-avatar Rahul Nair
  • 0 comments
To give you a quick recap, we have so far implemented the incremental refresh on the data model, configured the parameter values, and published the data model successfu...

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19 Oct
Applied Data, Data Analysis, Retail Analytics

incremental Refresh design for big datasets – Part 2

  • February 7, 2023
  • By author-avatar Rahul Nair
  • 0 comments
In the previous article, we discussed the thought process behind choosing the right data model design based on the use-case and requirements we received from the client...

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14 Oct
Applied Data, Data Analysis, Retail Analytics

Solving The Big Data Problem in BI: using advanced incremental refresh- part 1

  • February 7, 2023
  • By author-avatar Rahul Nair
  • 0 comments
We live in a world where businesses across various industries manage an enormous amount of information.  Every single transaction, interaction, and data point is r...

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13 Oct
Applied Data, Data Analysis, Data Viz, Financial Services Analytics, Retail Analytics

Creating Dynamic Measures in Looker

  • February 7, 2023
  • By author-avatar Lisa Riannson
  • 0 comments
In my previous article, Creating a “Dynamic Dimension in Looker”, I walked you through creating dynamic dimensions in Looker. Now we have the inverse situation. In this...

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29 Sep
Data Analysis, Data Viz, Financial Services Analytics, Retail Analytics

Managing Screen Real Estate:  Using Looker to Create a Dynamic Dimension

  • February 7, 2023
  • By author-avatar Lisa Riannson
  • 0 comments
Often when building dashboards where a user wants to be able to view certain metrics by d...

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09 May
Data Analysis, Data Viz, ESG Analytics, Financial Services Analytics, Retail Analytics

How to Get Actionable Insights Faster: The Downside to Legacy Reports

  • February 7, 2023
  • By author-avatar Lisa Riannson
  • 0 comments
Turning company data into insights Every analyst, manager or aspiring manager wants to get insights out of company data as quickly as possible—a must to quickly make decisions to improve th...

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