The world’s most innovative companies use AI-Powered Analytics from ThoughtSpot to empower every person in their organization, from C-suite executive to frontline employee, with the ability to ask and answer data questions, create and interact with data-driven insights, and use these insights to make informed decisions and take action. ThoughtSpot is simple enough for any business person to use, yet built to handle even the largest, most complex data, wherever it may reside. That’s why customers like T-Mobile, BT, Snowflake, HubSpot, Exxon, Daimler, Medtronic, Hulu, Nasdaq, OpenTable, Huel, and Nationwide Building Society have turned to ThoughtSpot to transform their data driven decision-making cultures.
A 100 second video on a platform, where only 27 seconds was actually about the platform. Unsurprisingly I learned nothing from this. (And this is coming from someone who's integrated ThoughtSpot into the organisation, and looking to get a feel for whether Mode might be a useful companion)
Thanks for sharing this cool feature! Percentage of contribution is one of the favorite metric for most of organizations! Thoughtspot enabling it without having the code that with just key words and producing accurate results using group aggregate functions is very impressive! 🎉
She herself was the rebel talent ie the one breaking the rules in a creative way. And she was hiding it in plain sight by being that rebel to stay at the top in staid academia.
Nationwide is an Oligarchy which has some 14 Execs appointed by other execs. CEO Debbie Crossbie appointed a little over 1 year ago with a mighty sum golden handshake and a remuneration of in excess of £3.5 million pa obviously wishes to continue this by having the 2023 AGM 100% online. No discussion not even a cursory mention at last years AGM.
How does it decide that "best performing products" refers to sales, and not to quality, defects, speed or accuracy. Who or what defines what performance here is?
It uses Democratic liberal leftist views It literally just scrapes up anything it can from liberal democratic Leftist views off of the internet and then goes with it
@@gregorydecker579 if you wanna understand how AI works, ask it a few more questions, they are like humans, you can’t ask people what type of a person they are but you can find out by having conversations with them.
The report should use clean data and this needs to be fast to render the data, to get that, all the cleansing and transforming data should be done at a database level, this is because the report has to run faster and if we pass some logic to the report, the report would take extra time to process and render the data
Insure the Box are a truly awful and discriminative company, avoid at all costs, essentially a scam and you will never get through on the phone. Wait times of 3 hours and when you do get through you are accused of not being the policy holder and not allowed access to your account despite having passed security questions!
3NF - ideal for txn systems DWH - ideal for reporting/ analytics In the next webinar can u share some case studies (why/ what lead to) for --> data vault/ mesh/ Lake etc.... & what and all xyz thing thats prefixed with "data". && How s/w Engg methodologies are affecting data Engg methodologies....? E.g. Data pipelines are pretty straight fwd in creation and consumption - but as people started using pyspark for processing their data, it's following the s/w Engg principles rather than following data Engg principles....
@Keyaar, Great question and very insightful! I actually have slide that shows the timeline of data platform evolution and the impact on modeling and the modern data stack. I will definitely cover that topic. You had me at "software engineering" (fyi, I started out as a C++ developer )... those principles are critical to data engineering and the future of data modeling.
When u don’t capture event level actions in your customer value chain the chances of you finding value or feeding your ml model to get an actionable output is weak and gets canned as useless to use
