There is always someone who would have bought it for less money but who actually probably is never going to buy it at all. (Not referring to the OP at all)
Look at your funnel, test where appropriate and decision from there.
784 karma · joined September 3, 2013
There is always someone who would have bought it for less money but who actually probably is never going to buy it at all. (Not referring to the OP at all)
Look at your funnel, test where appropriate and decision from there.
IT knew nothing about nothing and wouldn't hire anyone who knew technology. All projects were big buckets of money that they would hand to external consultants. Consultants would always take the money, sometimes they would do the work. IT was always certain that whatever the consultant delivered was best-in-class, exactly what should have happened because it was delivered in an Agile methodology and Gartner said nice things.
I evaluated Redash unfortunately it didn’t have as robust a feature set as we needed. I am hopeful that they will continue to develop it and support on-prem deployment a before Mode does anyway.
Recruiters try to build systems more robust than cold-outreach on LinkedIn but most of my hires in the past year have come from cold-outreach tactics. They have databases of candidates but most of that database isn't actually interested in a new job at any given time and it's as productive to work the database as it is to work LinkedIn unless the recruiter has a friendly relationship with a specific candidate. Regardless, you can't sell a candidate to multiple employers in any given 1-2 year period so you always need new candidates anyhow.
If I had more free-time I would totally try doing this myself. The hardest part is getting HR to let you recruit for their open roles.
I'm going to check-out the Singapore math Live support. It's surprising how challenging it can be to diagnose why one of my kids is struggling with a concept.
We write meaningful sized checks to recruiting agencies that look for people on LinkedIn and pitch them on taking our jobs.
You sir have options. Every place I have ever worked has at least one app that someone hacked together through some combination of PDFs, Excel and Access. This is a tremendous opportunity for those folks. The ones who will never learn to code, never learn to deploy an application and never get enough visibility to have a developer assigned to their project.
For the everyteam, these types of tools are exceptional. I continue to be amazed by what dedicated people pull-off with these no-code solutions.
I've also experienced instability issues, it needs that VS Code level polish.
Microsoft got it right with Azure Data Studio.
They used to be too cheap. Like uncomfortably low-priced while their people weren't easy enough to access.
I have started to transition more of my work to datagrip because I use pycharm and it's right there.
You said that you complete things as soon as possible. Are you sure that you are understanding the problem? The solution?
You should understand the system both technically (how is it architected, how does it work, what does it do) and from a business standpoint (why does it do that? where is value derived? what is painful?).
It's hard to add value if you can't be entrepreneurial or innovative.
If you get to a point where you are locked-in it's because you spent years building into a solution that was your most expedient and renumerative option. At some future point in time, a future you or the person who replaces you may want to reconsider a re-platform. Let them worry about that.
I worry about development working on glue code/solve problems to the detriment of their businesses actual needs.
This is one of a handful of very significant deficiencies in AWS's data/analytics portfolio. They haven't had good tools for getting data into AWS from the various places that profit centers store it. I hope they very aggressively pursue extending the number of supported integrations and finish building the product.
This is a huge step forward IMO.
I'm interested to see how your pricing hypothesis plays out. I say this as someone who enjoys art and owns a couple of pieces.
how the artists’ studio was this cool warehouse space that was overflowing with unsold paintings
There’s so much amazing art out there, collecting dust in studios.
It could be that people want payment plans, or that artists need better marketing tools.
My hypothesis is that a lot of art is priced significantly above what the market considers acceptable. The alternative to buying one-off art from an artist is Pier1, Target or posters.com not an art gallery. How does the typical consumer justify a X00% markup?
If artists priced their goods at a price-point that drove sales, would there be an increase in renown that would allow them to sell at higher prices later?
We're very early into doing a PoC where we use DataDog/Cloudwatch for our business metrics for this specific use case. We're also looking at tracking data quality metrics. The standard BI reporting tools are very immature when it comes to alerting based on changes in data over time.
I hope at some point you consider ingesting metrics like the ops tools do. Giving you direct access to my database is going to be really challenging but I'm glad to send you what I want you to keep track of.
You should have no problem getting a dev job within a year. Make sure your study is focused, you don't need to know everything about everything. Pick a niche and study that and execute some projects in that niche.
The legacy players are a mess, the new cloud native offerings are overly Engineering focused and immature, and the few startups in this space are recreating the legacy solutions in a SAAS formats
Go forth and claim the significant checks that I and others plan to write for these mediocre offerings.
The contracts almost certainly have pre-negotiated rate increases. You don’t put the vendor in a position to double your rates after you’ve adopted software.