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Microsoft Fabric with Power BI to improve your business analytics
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#techlead ,#Microsoft #microsoft #fabric #datascience #dataanalyst
How to use Microsoft Fabric with Power BI to improve your business analytics.
Yes, data fabric architecture integrates data, but it can also learn what data is being used where — and then make recommendations for more, different and better data. This cuts management effort and captures the value of data more quickly.
Assess what data fabric means to your business:
Identify challenges/opportunities for decision making, data and analytics solutions and applications
Communicate the value of data fabric to key stakeholders
Measure outcomes as soon as you deploy and innovate.
Most organizations struggle with a comprehensive
data management design that allows them to
optimally connect/collect, integrate and deliver
distributed data from heterogeneous data sources
and applications for their data and analytics (D&A)
use-case demands.
The number of data and application silos have
surged in the last decade, while the number of
skilled personnel on data teams has either stayed
constant or even dropped. The result: The time
deficit between the time the request for integrated
data is raised and the time at which the request is
fulfilled is now at an all-time high.
Organizations need a data management design
that can not only optimally integrate data across
a multicloud hybrid ecosystem, but also automate
data engineering tasks to reduce complexity
and optimize business outcomes and value.
🎥 MY YOUTUBE GEAR
• ChatGPT customized AI model
How to use Microsoft Fabric with Power BI to improve your business analytics.
Yes, data fabric architecture integrates data, but it can also learn what data is being used where — and then make recommendations for more, different and better data. This cuts management effort and captures the value of data more quickly.
Assess what data fabric means to your business:
Identify challenges/opportunities for decision making, data and analytics solutions and applications
Communicate the value of data fabric to key stakeholders
Measure outcomes as soon as you deploy and innovate.
Most organizations struggle with a comprehensive
data management design that allows them to
optimally connect/collect, integrate and deliver
distributed data from heterogeneous data sources
and applications for their data and analytics (D&A)
use-case demands.
The number of data and application silos have
surged in the last decade, while the number of
skilled personnel on data teams has either stayed
constant or even dropped. The result: The time
deficit between the time the request for integrated
data is raised and the time at which the request is
fulfilled is now at an all-time high.
Organizations need a data management design
that can not only optimally integrate data across
a multicloud hybrid ecosystem, but also automate
data engineering tasks to reduce complexity
and optimize business outcomes and value.
🎥 MY YOUTUBE GEAR
• ChatGPT customized AI model