datarez

helping fast growing startups detect data incidents before they impact customers and revenue

[datarez @datarez]

@NoahShreve Bookmarked

[datarez @datarez]

@Byron_bnp Depends on which platform my ideal customer profile hangs out in

[datarez @datarez]

@nilansaha First time founders focus on product second time founders focus on distribution

[datarez @datarez]

@jackson_llk It’s probably a top of the funnel problem your signup are not really qualified and serious with your product in the first place?

[datarez @datarez]

@devnazu20 👋

[datarez @datarez]

@jondotnicholson @ulricmusset It costs money to crawl tens of billion of pages with relevant metadata (links, text etc) plus the infrastructure to parse all of that on a regular basis

[datarez @datarez]

I’m looking forward to #connect with fellow

- Data Engineers
- Data Architects
- Business Analysts
- CTOs at fast growing startups

[datarez @datarez]

@OngDevLab Long tail keywords, match user intent, content syndication, programmatic seo, seo tools, comparison pages

[datarez @datarez]

@eter_inquirer Start with your close network. If you don’t have anyone you know that could be interested in your product. You probably don’t know enough in the first place

[datarez @datarez]

@nilansaha who is still using SO?

[datarez @datarez]

@fekdaoui great challenge

[datarez @datarez]

@ThePatrator if you swing the bat enough times you will hit the ball

[datarez @datarez]

just booked in the first 3 demo calls with potential customers 🚀

[datarez @datarez]

@simonecanciello 👉 https://t.co/9BOelkZEfm

[datarez @datarez]

@viggofredrikson Depends where you start counting

[datarez @datarez]

@briandecoded 24/7

[datarez @datarez]

@_david__wright_ https://t.co/9BOelkZEfm early stage

[datarez @datarez]

When’s last time you had a data related incident?

[datarez @datarez]

Data is today's most precious business asset.

Have you ever had data pipeline incidents, data inconsistencies in your database or other data quality issues?

You are not alone.

Inconsistent and incorrect data costs businesses 15% of their revenue

#dataquality