Sisense
APRIL 29, 2021
As a provider of analytics solutions, let’s dig into some ways you can deliver a personalized experience to your end users and customers. A seamless user interface can go a long way in reducing friction for end users or customers and enhancing the user experience. Matching look and feel with ease.
Sisense
MARCH 31, 2020
Tools of the Trade is your destination for data and analytics skill building: From dashboards and reports to embedding analytics and building custom analytic apps to SQL secrets and data deep-dives, whatever you need to know to be better at your job, you can find it here. Dig into how we did it here.
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Sisense
MARCH 2, 2020
Introducing the Sisense Data Model APIs. The new Sisense Data Model APIs extend the capabilities provided by the Sisense REST APIs. Builders will be able to programmatically create and modify Sisense Data Models using fully RESTful and JSON-based APIs. You may be asking “What’s a Sisense Data Model, exactly?”
Sisense
AUGUST 14, 2020
In Augmented Apps , we examine how product teams are exploring AI and Machine Learning to make their products more intuitive and enhance the user experience. . Developing the right data model for your in-app AI is now a critical branch of programming, because correctly prepared data is vital to the algorithm model.
Sisense
JANUARY 6, 2021
The result is a customer experience that meshes perfectly with the needs of Tessitura’s clients in the arts and culture marketplace, providing powerful and flexible data modeling presented and branded as Tessitura components with AI mechanics provided by Sisense under the hood. Horsepower under the hood.
Sisense
OCTOBER 14, 2020
Today, data teams form a foundational element of startups and are an increasingly prominent part of growing existing businesses because they are instrumental in helping their companies analyze the huge volumes of data that they must deal with. The future belongs to data teams. Everyone wins!
Sisense
AUGUST 6, 2020
In Augmented Apps , we examine how product teams are exploring AI and ML to make their products more intuitive and enhance the user experience. When building your data model, it’s vital to avoid both underfitting and overfitting. Datasets have quickly grown too huge, complex, and fast-moving for humans to grapple with.
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