Data Warehouse Embedded Analytics Reference 
Sisense
APRIL 2, 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.
Domo
OCTOBER 22, 2021
Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access.
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Sisense
MAY 11, 2021
(This design philosophy was adapted from our friends at Fishtown Analytics.). Here at Sisense, we think about this flow in five linear layers: Raw This is our data in its raw form within a data warehouse. The pressure to adopt the edge computing paradigm increases with the number of sensors pouring out data.
Data Pine
NOVEMBER 11, 2021
BI tools aim to make data integration a simple task by providing the following features: a) Data Connectors. Our first business intelligence feature is the earliest step in the data analysis process, and it refers to being able to connect all your internal and external data sources into one single point of access.
Sisense
MARCH 14, 2021
Referring to the conceptual “edge” of the network, the basic idea is to perform machine learning (ML) analytics at the data source rather than sending the sensor data to a cloud app for processing. The pressure to adopt the edge computing paradigm increases with the number of sensors pouring out data.
Insight Software
MAY 1, 2023
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.
Insight Software
JULY 28, 2023
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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