Big Data Data Warehouse Embedded Analytics 
Sisense
MARCH 13, 2019
So, you’ve decided to take the plunge and boost your product or service with embedded analytics. Importantly, you need to be confident that whatever embedded analytics platform you choose will work effectively with your current IT infrastructure, and will seamlessly blend into your existing applications quickly and efficiently.
Sisense
JANUARY 1, 2020
Speaking of building cutting-edge products, in 2020 embedding analytics is just the start. Next-level developers build actionable analytic apps, allowing users to combine the insights they need with the ability to take instant actions. 5 Advantages of Using a Redshift Data Warehouse. Sisense BloX 2.0:
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Sisense
MARCH 14, 2021
Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.
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.
Sisense
NOVEMBER 30, 2020
The smart ones are finding new ways to monetize their data, either by embedding analytics into apps and services that existing users will pay for or using them to grow their audience and expand into new markets. Not a problem for engineers, but a huge barrier for business analysts and other data-savvy, but non-technical staff.”.
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. Big data challenges and solutions. Dig into AI.
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. How data enhances product development.
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