Tom Tunguz
SEPTEMBER 6, 2023
Historically, software-as-a-service (SaaS) has been built on databases with structured data, as you might find in an Excel spreadsheet. For example, next generation marketing software might ingest structured data from Google Analytics and lead capture software as before.
The Daily Egg
DECEMBER 31, 2020
Are you safeguarding data? Does your company have data loss prevention software? The post Best Data Loss Prevention Software appeared first on The Daily Egg. But as a business owner, what initiatives have you taken to protect your business health? Are your passwords strong? Considering that 77% […].
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The Daily Egg
DECEMBER 30, 2020
The post Best Data Analysis Software appeared first on The Daily Egg. Having betted against subprime-mortgage bonds ahead of the meltdown, he made about $750 million in profits for his investors and $100 million personally. But how was he able to predict something like that? The answer is […].
Tom Tunguz
OCTOBER 19, 2023
The patois of data teams has become a dialect of modern engineering teams because the commonalities in the stack. Machine learning’s demand for data has accelerated this movement because AI needs data to function. Twenty years ago, the data team meant managing centralized BI & producing analysis in Excel.
Advertiser: ZoomInfo
CRM software is a powerful tool when used correctly, yet another obstacle to a sales team’s efficiency when it’s not.
Tom Tunguz
JANUARY 28, 2024
The fastest growing software category in the public markets is security. Data follows. Security companies as a group average 29% expected revenue growth in 2024, compared to 23% for Data (or DaaS which stands for data-as-a-service). For now, software buyers view security & data products as highest priority.
User Pilot
FEBRUARY 28, 2024
Funnel tracking software can solve this problem. Unlike sales funnel software, funnel-tracking tools track numerous funnels such as goal completion, conversion , and review funnels. Unlike sales funnel software, funnel-tracking tools track numerous funnels such as goal completion, conversion , and review funnels.
Advertiser: Data Robot
Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. Democratizing AI through your organization requires more than just software. Brought to you by Data Robot. Aligning AI to your business objectives. Identifying good use cases.
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Read more on: How embedded analytics is transforming product roadmaps How to add value to your software with predictive analytics Common mistakes to avoid when presenting data Download the white paper to learn about the essential guide to analytic applications.
Speaker: Blackberry, OSS Consultants, & Revenera
Software is complex, which makes threats to the software supply chain more real every day. 64% of organizations have been impacted by a software supply chain attack and 60% of data breaches are due to unpatched software vulnerabilities. All of these stats beg the question, “Do you know what’s in your software?”
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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.
Speaker: Donna Shaw - Senior Product Manager & Eric Frierson - Director of Innovation for Public and School Libraries
Nonetheless, by leveraging foresight and valuable insights, you can cultivate a thriving product management team that works together harmoniously to craft customer-centric products.
Advertiser: ZoomInfo
For marketing teams to develop a successful account-based marketing strategy, they need to ensure good data is housed within its Customer Relationship Management (CRM) software. More specifically, updated data can help organizations outline key accounts for their campaigns.
Advertiser: Data Robot
As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.
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