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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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Automate Data Workflows with the New Sisense Data Model APIs

Sisense

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?”

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Building the right data model is an important part of your data strategy.

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Unleash the Power of Advanced Analytics with the Sisense Q4 2019 Release

Sisense

The Elastic Data Hub delivers unique and highly differentiated options for data teams to simplify complex data and power analytical apps. Unleash the power of advanced analytics. In addition, you can deploy and operationalize your own machine learning models to all users by uploading custom Python.

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Sisense and Google Cloud: Driving Innovation and Digital Transformation Together

Sisense

The changes we make today will propel future generations, so access to data, and liberating data, is increasingly important to make informed, thoughtful business decisions that are not based on gut feel, but through data that drive insight. Moving data into the cloud, driving innovation.

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The Rise of the Data Team

Sisense

You know data is growing quickly every day, but did you know that 90% of all existing data has been generated in the last two years alone, and it’s anticipated that the global datasphere will expand from about 44 zettabytes (ZB) in 2020 to 175 ZB by 2025 ? Everyone wins!

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Modernize Your ETL Processes, Discover Better Insights

Sisense

This article will discuss at a high level how modern businesses are leveraging new technology to ingest a wider variety of data sources. Many cloud data warehouses offer compute scaling that allows for dynamic scaling when needs spike. We are leaps and bounds beyond Excel tables and on-prem-centric data sources.