Category: Update (Page 1 of 4)
Preserving history for future generations. Archive.org has it stored (hopefully it still going in 1,000 years time). My dad, Frederick Charles Parker Birmingham, enjoyed tracing his family tree. Proudly he displayed Captain Thomas Birmingham looking out over Ilfracombe harbour in our family home.
Rising the ranks aboard ships:
How much of Google Ads $500 Billion revenue generated in last 5 years is from kids of ‘undetermined’ ages cheating on exams by copying and pasting questions?
How much fat extracted from ‘enhanced CPC’?
Inflated bids from questionable bid suggestions?
General, taking advantage of people’s naivety in terms of ‘recommendations’?
That % would be interesting to know. How much discussion/strategy goes into purposeful manipulation; KPI-hitting versus human empathy.
Imitation is flattery, is the saying. Play-it-safe marketers tend to copy whatever the novel trend is (I’ve been there and got the t-shirt, so not a criticism or judgement). Sometimes clients follow an agency’s recommendation based on the success (proven or mere fluff) another client has achieved. Over the past year or so, nostalgic references have slowly crept into more and more TV ads. Possibly on the basis that nostalgia plays favourably in comforting people, and influencing their decisions, most commented on in the sphere of ‘make America great again’ and Brexit voters.
The likes of MoneySupermarket with Heman and Skeletor dancing; GI Joe dancing; Natwest reintroducing Ghostbusters; McDonalds with the BigMac through the decades; GWR reintroducing the Famous Five and so on.
More recently the trend seems to have morphed into displaying the customer as a zombie-like imbecile.
It will be interesting to see which other brands start to follow this trend, and ultimately how consumers react in terms of purchasing behaviour.
A dollop of new perspective, defined, business-level.
Metricising the product journey to understand; to tune (product, marketing, experience); to shape strategy; to create new metrics and perspectives.
- BigQuery data warehouse
- Pipeline: SSIS, Python, Cloud API
- Data Studio + custom metrics
Lots of fun:
tldr; Feature request: enable Data Studio custom fields to be saved as BigQuery table columns
Google Data Studio is an excellent, easy-to-use analysis and visualisation tool. Think Tableau replacement. The Google team behind it has done an amazing job in a short period of time to ship a product that works extremely well and comes with a simple, understandable interface, offering a small learning curve to get a report or dashboard up and running pronto.
In all the businesses I’ve worked for in the past, analysis is often siloed from operations. Either a business decision or quandary arises, questions posed, analysis is done. Then in most cases, analysis is often ignored and an empirical decision made :/. So, how can analysis (from anyone)/analyst output be leveraged to its fullest?
Through Data Studio, Google has enabled non-techies to play, work and mold data to their hearts content, creating beautiful graphs with drag and drop ease. Also gifting the ability to iterate and iterate.
Currently, it’s possible to pull data into Data Studio from BigQuery. Out-of-the-box it’s not possible to send data the other way. Generalising, opening up 2-way conversations is a good thing. It would allow a lot of valuable data generation (for ML etc) to be created without the technical know-how to create and populate BigQuery columns.
Correct permissions could be set via Google Cloud IAM to enable the feature in Data Studio, and to grant the ability to write to a BigQuery table. Change and release management could be added for quality control.
I’ve been working at home since October, a refreshing experience which has offered the opportunity to devote time to developing skills and my new business. All in the surroundings of home, home comforts and the company of Georgie and the dogs.
My daily view, whether filled with sun, rain or fog, provides calmness and inspiration.
