TechCrunch
FEBRUARY 8, 2021
Automattic , the for-profit company tied to open source web publishing platform WordPress, is announcing that it has acquired analytics provider Parse.ly. Both companies, Gernert said, come from similar backgrounds, with “roots” in digital publishing and a “heavy focus on understanding the impact of content.”
CIO
FEBRUARY 10, 2023
Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. As such it can help adopters find ways to save and earn money.
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CEO Insider
JANUARY 8, 2024
Earlier this month I met with an industry analyst who shared an astonishing fact: a Top 10 Fortune 500 company recently built an in-house workforce analytics solution — and had 7,000 employees assigned to manage it. That’s right, seven thousand.
TechCrunch
MAY 9, 2022
Business intelligence is an increasingly well-funded category in the software-as-a-service market. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy. “In short, data teams in enterprise analytics are stuck in the past.
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Most companies realize the value third party analytics solutions offer in delivering a best-of-breed capability to market quickly. However, end-user expectations have moved beyond what embedded analytics can offer and now encompass a seamless user experience, easy to use self-service, and immediate data response times.
CIO
NOVEMBER 9, 2022
One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.
CIO
JANUARY 25, 2024
Understand the technology For companies to maximize the business value of AI , employees must be able to communicate effectively about the technology. A developer creating an AI app can’t assume their company has unlimited access to the datasets of commercial large language models. I consider it more of a marathon.
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But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.
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Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.
Speaker: Azmat Tanauli, Senior Director of Product Strategy at Birst
By creating innovative analytics products and expanding into new markets, more and more companies are discovering new potential revenue streams. But how do you identify these potentially profitable areas, and what can you do to take advantage of them?
Speaker: Daniel Elizalde - Product Executive and Advisor
There is a big problem with the term "product market fit." Launching successful products requires a rare combination of market understanding, iterative development, and a lot of luck. Ask ten people to define PMF and you’ll get ten different answers. All of them are useless because they are not actionable.
Speaker: Ian Thompson, Head of Business Intelligence at King, and Zara Wells, Strategic Customer Success Manager at Looker
Product Managers looking to leverage data to make informed product design decisions can learn a lot from renowned gaming company King, maker of Candy Crush and many other games - even if their product has seemingly no overlap with games. Come learn to crush analytics with King.
Speaker: Wes Bush, Author of "Product-Led Growth"
Zoom, Stripe, and Airtable are all examples of software companies with strong PLG strategies. What features do their strategies have that allow them to see continued success in this ever-changing market? But what else do they have in common? Wes will also discuss and teach you: Case studies of successful and failed PLG strategies.
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