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Automate Data Workflows with the New Sisense Data Model APIs

Sisense

The Sisense Data Models refers to the data model schemas of Sisense ElastiCube and Live Data Models. These models are crafted by data teams to facilitate the analytics needs of internal stakeholders and customers, like dashboards and embedded analytics. You may be asking “What’s a Sisense Data Model, exactly?”

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A Guide to the Best Javascript Visualization Libraries

Sisense

Highcharts: Strong community and API reference. The source code can be installed in-house or in a Cloud PaaS, which is advantageous for analytic apps with strict data security constraints. Beyond the opening list of standard features, Highcharts’ high points include: Excellent API reference, and community showcase.

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How to Build a Flexible Developer Documentation Portal

Sisense

We also wanted to auto-generate some of the content, especially API references (which are very dry; there’s no “writing” necessary). We wanted to invest our time in generating content that is more engaging and valuable, like tutorials, open-source demos, cool features, and so on. Make your requirements specific.

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What Is Embedded Analytics?

Insight Software

Introduction Why should I read the definitive guide to embedded analytics? 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.

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Your Path to Finding the Best Embedded Analytics Solution

Insight Software

How do you know it’s time to replace your embedded analytics? Demand for new capabilities: If your users demand advanced capabilities and self-service analytics, using basic dashboards and reports may lead to increased customer churn. How to Find the Perfect Solution for Your Embedded Analytics? So, now what?

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What is a Data Pipeline?

Insight Software

A data pipeline, however, is a broader concept that refers to the entire process of moving data from sources to destinations, which can include a variety of operations such as data ingestion, processing, transformation, storage, and delivery. ETL is primarily used for data warehousing and business intelligence applications.

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Top 5 Resources to Understand the Role of AI/ML in Embedded Analytics 

Insight Software

When AI and machine learning are utilized in embedded analytics, the results are impressive. Much of this can be seen in modern solutions that offer advanced predictive analytics. Predictive analytics refers to using historical data , machine learning, and artificial intelligence to predict what will happen in the future.