>> Hi my name is Kon Fem.
I'm a Senior Product Marketing Manager for Power BI.
I'd like to tell you what's new with
Power BI in the October 2018 release.
Looking back over the history of the S&P 500,
and the average lifespan of a company,
it is quite shocking to see that in 1920,
the average lifespan was 67 years.
By 1980's, it was 25 years, and by 2020,
only 25 percent of the companies that exist
today will have survived
while the others will have disappeared.
The rate of change that modern
organization face is staggering.
Organizations will then need to develop a data culture,
creating an environment where
every team and every individual
is empowered to do
great things because of the data at their fingertips.
In a data culture,
everyone benefits, for more people
can ask questions and get answers.
In the data culture, the entire effectiveness
of an organization can elevate.
This is especially true when every employee
can harness the power of data
once only reserved for data scientists,
and tap into the power of natural language,
self-service business insights
and visualizations capabilities.
With the right tools, insights can come from anyone,
anywhere, at any time.
When that happens, organizations
develop what we describe as a data culture.
In the future, all companies will be digital companies.
Not only building products or services to
capture new business opportunities and engage
with customers differently to meet
their evolving expectations. The rewards are clear.
Organizations able to analyze
all relevant data and deliver
actionable insights in this time frame,
will achieve an extra $430 billion in benefits.
Organization taking steps to embrace
digital transformation to evolve how they leverage data,
analytics, and the cloud,
generate an average of $100 million or
eight percentage points more operating income
each year than those who lack behind.
The explosion of data per meeting
all organization is pivoting
the way we interact with data,
and the way we seek to draw intelligence from
this vast and often untapped potential.
For most organizations, this data often reside
On-premises in the Microsoft Cloud
or in other such as Office 365,
Dynamics 365, Adobe, Salesforce, Ricardo, and others.
Or, it may reside in
both the cloud and On-premises i.e., hybrid.
Making it challenging to access and
draw actionable insights from the data.
With Power BI, there's no need to move your data.
We'll meet you where you are.
As a business intelligence and analytics SaaS service,
Power BI equips business users to
directly connect with and get
insights from the business data,
harness data from Excel spreadsheets,
On-premises data sources, big data,
streaming data, and cloud services.
It doesn't matter what type of data
you want or where it lives,
Power BI allows you to
connect to hundreds of data sources.
We've developed apps that deliver
a curated experience for
popular SaaS services to get you up and running quickly.
PowerBI delivers unmatched unique ways
for users to experience a data with speed and agility.
For example, live dashboard that maintain
a real-time polls on the business
and provide official insights.
Because some visuals that bring data to life
and surface intelligence hidden in the sea of data.
Natural Language query then enables users
to simply ask questions of
their data in an intuitive way.
Whether in the office or on the go,
PowerBI also provides anywhere access to
insights with dashboards accessible via the desktop,
web, or across mobile devices.
Perhaps, most importantly, with Power BI,
you can leverage world-class data and analytics
capabilities from historical datasets.
But it also delivers the ability to see
your data as it's happening right now,
no longer looking in the rearview mirror.
The notion of transitioning from
historical intelligence to real-time insight,
and ultimately to enable action,
is propelling modern BI and
accelerating the evolution of Power BI.
This means equipping users to take
action where and when needed.
For example, Power BI seamlessly integrates with
Microsoft business apps like Dynamis 365 and Office 365.
If equipping users with insight
directly within the Microsoft apps they use every day.
With Power BI embedded,
organizations also have the flexibility to
infuse third party apps with the same intelligence.
Lastly, integrating intelligence at the point of action,
leads to automation within
systems that trigger commands based on
precise thresholds for
the operationalizing business insight
throughout an organization.
Power BI continues to be
a leader in business intelligence.
For the 11th consecutive year,
Gartner has put Microsoft as a leader it is
magic quadrant for analytics and BI platforms,
recognizing Microsoft completeness of
vision as well as the ability to execute.
Power BI continues to
evolve and innovate at a rapid pace.
Some of the capabilities coming
soon to Power BI for example
include: unifying self-service and enterprise BI,
self-service Data prep for Big Data,
advanced analytics and AI with Azure.
We're taking another step
to bring advanced capabilities
from SQL Server Analysis Services into Power BI,
enabling larger data volumes,
lifecycle management,
and third party BI too a connectivity.
Popular SQL Server Reporting Services technology
is now part of Power BI,
creating a unified, secure,
enterprise while reporting platform
accessible to any user across devices.
Pixel perfect paginated reports can now be
included alongside Power Bi's
existing interactive report.
A new flexibility to deploy
Power BI premium in specific global regions,
so organizations can be
data residency requirements and improve
performance of data loading by
locating Power BI close to data sources.
We're expanding self-service data prep
in Power BI by introducing
new capabilities to help
business analysts extract insights from Big Data.
Using the Power Query experience familiar to
millions of PowerBI Desktop and Excel users,
business analysts can ingest, transform, integrate,
and enrich Big Data directly in the Power BI web service,
including data from a large and growing setup
supported On-premises and cloud-based data sources,
such as Dynamics 365,
Salesforce, Azure SQL Data
Warehouse, Excel, and SharePoint.
The ingested data can now be
shared across multiple Power BI models,
reports, and dashboards enabling easy data reuse.
Power BI will also support the common data model,
which gives organizations the ability to leverage
a standardized and extensible collection of data schemas,
entities, attributes and relationships.
Users can take advantage of a standard schema
or customize based on their unique needs to
simplify healthy enrich that data
with other sources from Microsoft and
third parties to accelerate analysis
across a broad unified dataset.
Additionally, it's important that all of
the users throughout an organization
operate on the same data.
Refueling collaboration across roles
by unifying access to
data between PowerBI an Azure Data- Link Storage Gen2.
Business analysts can seamlessly operate
on data stored in Azure Data-Link Storage,
taking advantage of the skill, performance,
security, and analytics with
the self-service capabilities in Power BI.
All data engineers, data scientists,
and other users can extend
access to insights with advanced analytics and
AI from complimentary Azure data services
like Azure Data Factory,
Azure Data Bricks, and Azure Machine Learning.
For example, data engineers can add,
enrich, and orchestrate data.
Data scientists can build Machine Learning models,
and business analysts can benefit from
the work of others and the data available in
the Azure Data-Link Storage while continuing to use
the self-service tools in
Power BI to build and share insights broadly.
It's easy to get started with Power Power BI.
Visit powerBi.com today.
Thanks very much for your time.