- [Instructor] Today, most organizations
choose to adopt an analytics suite
that provides powerful capabilities
that cross all phases of the analytics process.
These tools allow analysts to ingest and clean data,
perform exploratory statistical analysis,
visualize their data, produce models, make predictions,
and communicate and report their results.
These packages are normally more expensive
than the other tools that we've discussed,
but they also provide an end-to-end environment,
where all of an organization's analysts and developers
may work together on analytics projects.
Power BI is Microsoft's analytics suite,
built upon the company's popular
SQL Server database platform.
Power BI is popular among organizations
that make widespread use of other Microsoft software,
because of its easy integration with those packages,
and cost-effective bundling within an organization's
Microsoft Enterprise license agreement.
Tableau is arguably the most popular data visualization tool
available on the market today.
The focus of Tableau is on the easy ingestion of data
from a wide variety of sources,
and powerful visualization capabilities
that allow analysts and business leaders
to quickly identify trends in their data
and drill down into specific details.
Looker is another popular analytics platform,
offering access to cloud-based analytics capabilities
provided by Google.
Unlike traditional BI tools
that rely heavily on static reports,
Looker provides a highly interactive
and flexible approach to data exploration.
It connects directly to a variety of databases
and data warehouses,
leveraging the power of the underlying database
to perform queries, rather than requiring data
be extracted and transformed into separate silos.
This enables businesses to work with up-to-date data,
while reducing latency,
and simplifying workflows.