Data Architecture Data Warehouse Digital Transformation Optimization 
BI-Survey
NOVEMBER 23, 2021
However, the operational data stored in data silos was not suitable for this task. Many companies therefore built a data warehouse to consolidate their operational data silos. Data-based insights are being used to automate decisions. Data black holes: the high cost of supposed flexibility.
Cloudera
MAY 30, 2024
The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. What are some of the business use cases financial services customers are focused on to use AI?
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CIO Business Intelligence
OCTOBER 13, 2023
Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.
IBM Big Data Hub
AUGUST 4, 2023
Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.
Birst BI
FEBRUARY 25, 2020
Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. agentless) Birst to Snowflake real-time connector. What gaps does the joint solution address in the market?
CIO Business Intelligence
NOVEMBER 25, 2022
Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.
AWS Big Data
DECEMBER 21, 2023
To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.
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