Energizing day for everyone at Switchboard Software - by partnering with GFT Ventures and Quest Ventures, we are step closer to our goal of helping all companies become more data- and AI-driven. I am personally looking forward to accelerating our next phase of product updates!
Exciting news from VentureBeat on our recent Series A led by GFT Ventures and Quest Venture Partners!
Congratulations to our Founders @jukaykwek and @doubleocherry and the entire Switchboard team ๐
Stay tuned for more news (and more "new"s) to come..
https://t.co/Cr0z4xXbyQ
Visit https://t.co/VkkVIUMRPz to register for our fireside chat (Tue Oct 12 @ 9:30 PT). Ju-kay Kwek and I will join Ameen Kazerouni, Chief Data and Analytics Officer at Orangetheory Fitness, to discuss the role of data in driving marketing efficiency.
@OpenX Can you provide a public link to the schedule for your upcoming Data API changes? This weekend's unexpected and unannounced API changes (and subsequent rollback) affected a number of your multiple media partners: https://t.co/2w05EYzUVY
@jeremy_soller @jeremy_soller I think a rolling release of Pop!_OS might be more stable than the "stable" releases of some of the large mainstream Desktop distros
When managing data operations at scale, it's important to have access to metadata to make sure problems don't eat up valuable time. At minimum - access to business rule change logs, data volume, error rates. @JamesKobielus provides great examples of this:
https://t.co/KTyCBrrHuV
Organizations are investing heavily in data science technologies, but these investments are putting immense pressure on data science teams. 81% of data engineers cited that "the need for data products was increasing at a faster rate than their team size."
https://t.co/deo4n9DBYu
"The first step in establishing a data lake is data ingestion. It is often considered a low priority task. The alarm rings when the volume & variety of data increase, leading to input maintenance and management issues."
https://t.co/ggXLtZ9fbr
Mature data teams treat data validation as an essential Data Operations process which includes version control and auditability. This article provides a great summary of how teams at Amazon and Google approach data validation:
https://t.co/K3HJ1eduWI
Data ingestion, data versioning, data validation, and data pre-processing are imperative, not optional. This article discusses data validation, why it is important, its challenges, and more...
https://t.co/BuSQKYfjvZ
#datavalidation#bigdata#dataops#dataingestion#ML
@MarekDanyluk Asks: "Should data analytics be departmentalised like Accounting or HR? Or, should it be integrated into every dept to add value in different ways?" In my experience the answer is "yes": A strong data ops process can supports both. https://t.co/ChaDqZrDPs
Data Democracy: an organization should be built around data, not vice-versa. This article provides a great overview about what might be preventing your organization from using your data effectively.
https://t.co/G8Nx6VvX90
As Gartner famously reported, over 60% (and probably closer to 80%) of data projects eventually fail. This article is a great summary of how to ensure data projects succeed. In my experience defining the "practical applications for your data" is paramount
https://t.co/betwLSOR2o
It's a pleasure to welcome Doug Sykes to the @switchboardsoft team! Doug brings a wealth of data and visualization domain experience to support our customers' success. #customersuccess#data#bedatastrong https://t.co/uVuIfFFkZn
Great article by @timglomb via @HarvardBiz. The end of 3rd party cookies is a welcome correction to consumer privacy issues. Proud that @switchboardsoft helps leading brands build data assets that allow them to engage with consumers directly.
https://t.co/wk3c3vYFOR