BizAcuity
APRIL 1, 2023
Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.
BizAcuity
JANUARY 31, 2023
Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.
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AWS Big Data
MARCH 7, 2023
This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. Data lakes are more focused around storing and maintaining all the data in an organization in one place.
AWS Big Data
MARCH 26, 2024
In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360. The following figure shows some of the metrics derived from the study. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud.
FineReport
APRIL 11, 2023
Free Download of FineReport What is Business Intelligence Dashboard (BI Dashboard)？ A business intelligence dashboard, also known as a BI dashboard, is a tool that presents important business metrics and data points in a visual and analytical format on a single screen.
Occam's Razor
JUNE 28, 2010
We have more web metrics and data than there are stars in the universe (slight exaggeration!). A large part of the reason is that a large part of our job seems to consist of glorified data puking, hoping someone will be impressed. After all there is so much data in those reports!! Yet we stink at informing decisions.
Sisense
MAY 11, 2021
Both of these concepts resonated with our team and our objectives, and so we found ourselves supporting both to some extent. 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.
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