Talk:Dickey's Barbecue Pit

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The following Wikipedia contributor has declared a personal or professional connection to the subject of this article. Relevant policies and guidelines may include conflict of interest, autobiography, and neutral point of view.

Rjacob521 (talk · contribs) This user has declared a connection. (declared here)

Propose Changes

Rjacob521 (talk) 17:02, 16 June 2021 (UTC)[reply]

This edit request by an editor with a conflict of interest was declined. See comments

Specific text to be added or removed:

Please add New Section: Smoke Stack Big Data System

In an effort to better adjust to changes in market conditions as they happen, Dickey’s introduced a new big data proprietary system called Smoke Stack. In developing the system, the fast casual restaurant chain partnered with iOLAP, a big data and business intelligence service provider. The system uses the DMX data integration software from Precisely (previously Syncsort) and Yellowfin’s BI platform. Data warehousing is provided by Amazon Redshift.

They Smoke Stack system gathers data from five sources: point-of-sales systems, marketing promotions, customer surveys, inventory systems and loyalty programs – and uses those metrics to analyze sales and other key performance metrics in real time, to allow the company to learn about customer preferences and make data-driven operational behavior changes in real time.

Every 20 minutes, Smoke Stack collects data that is pored over daily at the Dickey’s corporate headquarters in a three-step process that includes collection of information via the company’s mobile platform TIB and Spendgo, correlating guest data with sales data in Yellowfin, and analysis of affected key performance indicators, like sales increases.

The company learned valuable demographic information that it wouldn’t have had access to without Smoke Stack, including

A large proportion of guests owns dogs and plays fantasy football
The average lunch guest is a 43-year-old, SUV-driving male
The quintessential female with kids Dickey’s customer uses the social media platform Pinterest and takes later and longer than normal lunches on Wednesdays.

These and other learnings have informed the chain’s advertising strategies, while location best practices on staffing and inventory can be shared to course-correct any lower performing franchises.

Reason for the change: Adding business technology information
References supporting change:

https://www.fastcasual.com/articles/tech-in-a-box-how-dickeys-uses-big-data-to-target-marketing/ https://www.bizjournals.com/dallas/blog/techflash/2015/06/dickeys-barbecue-pit-rolls-out-data-collection.html https://www.forbes.com/sites/bernardmarr/2015/06/02/big-data-at-dickeys-barbecue-pit-how-analytics-drives-restaurant-performance/?sh=6726a9006d95

Rjacob521 (talk) 17:02, 16 June 2021 (UTC)[reply]

Not done @Rjacob521:The sources provided are not reliable. The Bizjournal article is a blog and Forbes is from a "contributor", whose contributions have little editorial oversight (rather than staff). Fast Casual is rather enthusiastic about press releases according to their About Us page so independence is not clear. What is needed are independent sources that have editorial oversight and a history of fact checking. In addition, the request is an uncomfortably close paraphrase of the Fast Casual article which could violate copyright. Consider trimming the request down to a couple sentences and if you have better sources, provide those in a new request S0091 (talk) 23:33, 10 July 2021 (UTC).[reply]