Data Warehouse Embedded Analytics Planning 
Domo
JULY 28, 2022
With more than 2,000 issued patents for advances in technology, the cutting-edge, multi-national company builds core innovations in connectivity, modeling, and data analytics for customers in agriculture, construction, and transportation. And we wanted to bring our own data engineering group.
Sisense
JANUARY 13, 2020
From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire. And cloud data warehouses or data lakes give companies the capability to store these vast quantities of data. Take our customer, BraunAbility , for example.
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Sisense
MAY 11, 2021
Data modeling is a sprawling topic but, at its core, it is the function that takes data in one structure and outputs it in another structure. The output structure is perhaps the most interesting and ultimately should be the key driver for how we model our data. When it comes to data modeling, function determines form.
Data Pine
NOVEMBER 11, 2021
Having flexible data integration is another important feature you should look for when investing in BI software for your business. The tool you choose should provide you with different storage options for your data such as a remote connection or being stored in a data warehouse. c) Join Data Sources.
Sisense
AUGUST 4, 2021
AI-driven explanations will calculate and show the relative impact of the factors selected, giving users more control over their data and displaying correlations between different elements over time. Optimize your cloud data warehouse cost forecasting.
Domo
JULY 8, 2021
For any organization integrating cloud into its core tech stack, it’s important to recognize the opportunities and risks that come with a new environment, and to plan appropriately. You should also consider governance models for sharing data with customers and partners outside your company.
Sisense
NOVEMBER 5, 2021
Centralizing and standardizing some of our data assets and creating a single source of truth was key to that process. Bringing all the data together in one place is vital, but even the most groundbreaking insights are worthless if people won’t actually use the analytics you’ve built for them. and “Why did it happen?” Learn more.
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