Tom Tunguz
DECEMBER 17, 2023
Data teams are becoming software engineering teams. On December 14th we welcomed Philip Zelitchenko , VP of Data from ZoomInfo, to talk about how he has built this discipline within his team & it was fascinating. Unlike code, data is stochastic or unpredictable. Data may change in size, shape, distribution, or format.
SaaStr
AUGUST 26, 2023
Data Doesn’t Have to be Hard: Three Data Myths and How to Bust Them with Mailchimp with John Humphrey, former Head of Data Platform Product at Mailchimp John Humphrey, former head of data platform product at MailChimp and current principal at mfact, joined SaaStr live at Workshop Wednesday to discuss three data myths and how to debunk them.
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Tom Tunguz
MARCH 19, 2024
Within data teams, a tension exists. Centralize the data analysis to ensure accuracy or enable end-users to analyze their own data directly which is faster & more direct. Cloud databases ushered in an opportunity to centralize that data analysis again. This was a special Office Hours for two reasons.
Tom Tunguz
APRIL 1, 2024
Rubrik, a Palo Alto-based data security company, filed their S-1 yesterday. In fiscal 2023, we began transitioning customers from our legacy CDM (Cloud Data Management) capabilities to our subscription-based RSC offerings. The legacy business fell by 58%. However, the most curious part of the business is the margin structure.
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The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. You’ll learn: The evolution of business intelligence. How do you differentiate one solution from the next? 4 common approaches to analytics for your application.
Tom Tunguz
FEBRUARY 26, 2024
At least 10% of their revenue - about $60m - comes from selling data to train Large Language Models. Reddit’s data sales revenue will likely be much more than 10% by the end of the year. This raises a fundamental question : What if the revenue from data sales dwarfs the revenue from ads? LLMs need data.
Tom Tunguz
APRIL 21, 2024
Software companies top the charts at 3% over the last 20 years, according to data from New Constructs , a financial research firm. 1 Despite the enthusiasm from Investopedia, I think it’s important to say that no financial metric is perfect & all of them are proxies for the ultimate performance of a business.
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The possibilities for embedded analytics to drive real value for businesses, end users, and society are as fascinating as they are limitless. No matter the industry, brand after brand is finding that analytics can be the solution to a multitude of business challenges.
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This blog acts as a beginner’s guide to what data storytelling means for your company’s business intelligence and data analytics, explains the importance of leveraging it today, and illustrates how Yellowfin’s own set of storytelling tools can enrich your insight reporting efforts.
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Machine learning operations (MLOps) is the technical response to that issue, helping companies to manage, monitor, deploy, and govern their models from a central hub.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
Advertiser: ZoomInfo
Fact: Only 8% of sales and marketing professionals say their data is between 91% - 100% accurate. of companies achieved a score indicating maturity in data management practices in the space.". B2B organizations struggle with bad data. The primary takeaway? Forrester found “only 1.2%
Advertiser: Data Robot
Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Identifying good use cases.
Advertiser: Data Robot
Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.
Advertiser: Data Robot
Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.
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