Sisense
JUNE 5, 2020
In Managing Up , we give product managers and their teams actionable guidance on how to build, test, and release programs that will delight users and stand the test of time. Marketers are constantly communicating to consumers the advantages of their brand’s products—whether faster, cleaner, stronger, or cheaper.
Sisense
JULY 13, 2021
One of the most powerful ways for your organization to get a competitive edge is to embed analytics, because it enables you to go beyond improving internal efficiencies with data. Embedded analytics are often the centerpiece of such applications and services, and. Current analytics solutions aren’t user-friendly.
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Sisense
JUNE 18, 2020
In Managing Up , we give product managers and their teams actionable guidance on how to build, test, and release programs that will delight users and stand the test of time. should be reflected across the application (in the core offering and the analytics), just like the rest of the brand’s properties. Of course not.
Insight Software
NOVEMBER 20, 2024
20, 2024 – insightsoftware , a leader in data & analytics, today announced the availability of Logi Symphony, its flagship embedded business intelligence (BI) solution, on Google Cloud Marketplace. “insightsoftware can continue to securely scale and support customers on their digital transformation journeys.”
Sisense
JUNE 30, 2020
In Embed to Win , we dig into the ways companies are evolving to include embedded analytics in their products as a market differentiator and revenue generator with stories from builders, product shots, and more. The power of data and analytics extends far beyond dashboards. Every company is a data company.
Sisense
JANUARY 21, 2021
As a hot commodity, it makes sense that product managers want to ensure that their application is delivering detailed information for their end users. Creating a strong connection with the data experts and getting their buy-in is critical in building a solid embedded analytics solution. Data is the new currency.
Sisense
AUGUST 6, 2020
As an AI product manager, here are some important data-related questions you should ask yourself: What is the problem you’re trying to solve? What are the right KPIs and outputs for your product? Here we can begin to see why it is beneficial for AI product managers to have a data science background.
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