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Posted By Matthew Miller  |  December 9th, 2014  |  323 Views
Data Inflation in Retail Websites

Retail web sites are heavily driven by data, and inflation has major impacts on key metrics such as revenue attribution to advertising spend, predictive analytics for inventory management, and performance metrics in SEC filings. A few months ago, we published the

Data Quality, Data Inflation, Internet Retailer
Posted By Matthew Miller  |  December 3rd, 2014  |  322 Views

Data Quality Management is certainly a hot topic these days. Everyone understands that tags aren’t easy to deploy and are difficult to maintain, and this contributes to headaches and data quality problems for a sweeping variety of digital marketing efforts. When it comes to the practical aspects of managing data quality, several layers of analysis and protection are useful.

SiteAudit, Simulations, data quality management
Posted By Matthew Miller  |  November 18th, 2014  |  204 Views

In the white paper Data Quality and the Digital World, Eric Peterson warns that companies have started to leak data through the multitude of tag-based data collectors they have deployed across their digital properties.

ten tips, Data Quality, data leakage, TMS, PII
Posted By Matthew Miller  |  November 7th, 2014  |  602 Views

In Data Quality Management Process Part 2, I covered logical segmentation techniques and technical configuration inside ObservePoint.

data quality management, process, framework, audit, priorities
Posted By Matthew Miller  |  November 4th, 2014  |  162 Views

Data quality management best practices include the creation and maintenance of documentation. This may include the Solution Design Documents for your analytics deployment, change logs in your TMS, or other files that map the strategy to the deployment of tags across your digital assets.

Data Quality, SDR, documentation
Posted By Matthew Miller  |  November 4th, 2014  |  363 Views

Best in class digital analysts have become accustomed to complex, dynamic tag deployments that populate variables in specific ways based on how web pages are accessed. Testing the proper functionality of this tooling has historically been a laborious process requiring specialized browser-based tools, careful interpretation of raw data, and manual logging in purpose-built excel files.

Data Quality, integrations, verification
Posted By Matthew Miller  |  November 2nd, 2014  |  686 Views

In Data Quality Management Process: Part 1, I discussed how the two most important questions in data quality management, what to audit and

ten tips, data quality management, process, framework, audit, priorities
Posted By Matthew Miller  |  October 27th, 2014  |  477 Views

In previous posts, we’ve discussed timing strategies of tag audits. What content to audit is another vital part of conversation.

ten tips, tag audit, segmentation, Best Practices
Posted By Clint Eagar  |  October 24th, 2014  |  333 Views

Intranet sites can be an extremely useful and valuable tool for your company, with many possible uses.

tag audit, Data Quality, intranet, how-to
Posted By Matthew Miller  |  October 21st, 2014  |  411 Views

Two of the most important questions data quality analysts ask ourselves is what to audit and when to audit.

ten tips, data quality management, process, framework, audit, priorities

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