CTO & Co-founder @switchboardsoft. Building the platform that leading media companies use to unify data.

Joined February 2009
61 Photos and videos
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 🎉 Stay tuned for more news (and more "new"s) to come.. lnkd.in/gvBHVsuQ
1
5
456
Visit events.switchboard-software.… 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.
1
3
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: tdwi.org/articles/2021/07/07…

2
Michael Manoochehri retweeted
29 Jun 2021
We're delivering the #publisher industry's first integrated solution for CRM OMS Data Ops by joining forces with @switchboardsoft! bit.ly/3h0dZVe #BoostrCRM #BeDataStrong #partnership
2
4
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." aithority.com/technology/big…
1
2
"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." newsanyway.com/2021/06/02/ho…
1
3
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: kdnuggets.com/2021/05/data-v…
1
1
Michael Manoochehri retweeted
What's your favorite line of code?
152
10
120
Michael Manoochehri retweeted
â–“â–“â–“â–“â–“â–“â–“â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘ 35.4%
23
239
3,422
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. cdotrends.com/story/15538/da…

1
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 enterprisersproject.com/arti…
1
Michael Manoochehri retweeted
How it started... How it's going
45
1,793
10,242
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 switchboard-software.com/pos…

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. hbr.org/2021/04/say-goodbye-…

1
1
Michael Manoochehri retweeted
With the growing accumulation of structured, unstructured and semi-structured data in organizations - increasingly as big data applications are adopted - dark data denotes operational data that is left un-analyzed. bit.ly/3sMaXaG #bigdata #data #darkdata #dataops
1
1
Great read: This MIT @techreview post by @_KarenHao claims that "the 10 most cited AI data sets are riddled with label errors". Indeed, the inability to maintain data quality over time and at scale is a common concern for Machine Learning projects. technologyreview.com/2021/04…

1
The @infolabUK 's @lowers_ryan wrote an excellent blog post about how to think about Data Quality. Two quality processes that many teams overlook: historical logging of pipeline data and transparent access to version-controlled business rule definitions. theinformationlab.co.uk/2021…

Gartner's recent Magic Quadrant on Data Sci/ML: AI still "overhyped" but investments in data science and ML are resulting in more practical gains. I agree: Orgs that are effectively investing in these technologies continue to differentiate themselves. venturebeat.com/2021/03/14/g…
A fantastic #CHI paper from Google Research: Everyone wants to do the model work, not the data work. "We need to move towards a proactive focus on data excellence—focusing on the practices, politics, and values of humans of the data pipeline." storage.googleapis.com/pub-t…

4
9