[MUSIC]
SWETHA MANNEPALLI: Hi everyone.
I'm Swetha Mannepalli,
Senior Product Marketing Manager at Microsoft.
I'm here to show you how to accelerate
your data potential with Microsoft Fabric.
Now, at Microsoft, we not
only create products that revolutionize the industry,
but we also take time to listen to
our customer's feedback time and time again to ensure
we shape our products to address
your top concerns and ultimately empower you to succeed.
I'm so excited to show you how Microsoft Fabric
delivers on this promise in new and innovative ways.
Let's start with the challenges faced by
data leaders across organizations today.
In the past year,
we have heard from Chief Data Officers and
depressed data architects and
other data leaders about the top of mind issues.
Companies are dealing with
siloed systems, creating data buckets,
what some call the dreaded data sprawl with
inconsistent datasets and ungoverned data sharing.
They're also struggling, like many of us,
with how to do more with less,
delivering analytics with smaller teams
and limited skill sets.
There is always a data delivery gap
between business teams and IT Arc supporting them.
Even with these limited teams and skill sets,
IT is continually tasked with onboarding
modern more technical tools and
platforms requiring even more advanced skills.
With these ever evolving technologies,
it's harder than ever to
keep up with the demands of the business.
Plus, we cannot forget how costly
the integration of disparate systems is,
as well as their ongoing
maintenance and purchasing multiple solutions
cause procurement overhead.
It all adds up.
On top of all this,
the adoption of business intelligence to
streamline data-sharing has become critical.
Businesses that don't get this right
are at a competitive disadvantage and can
expose themselves to serious data breaches
and other security risks.
Today's data leaders must balance
their data and analytic needs with all of
these factors in mind to prepare scalable
across lines of businesses for the era of AI.
How did we get here?
It's been years, even decades,
perhaps a recent organically
evolved data estate where your teams realize
the value of data and began spinning up
datasets in every corner of the organization.
Your marketing and sales teams manage
customer pipelines and automation
with custom database instances.
Your supply chain, e-commerce operations,
every division is running
bespoke tools on top of their own separate data,
whether in data marts, data warehouses,
hybrid Cloud, and
on-premises databases, or something else.
It's all with the good intention of getting more out of
data and making data serve growing business needs.
But it's too much,
data copies get out of sync fast.
Reports from one part of
the organization that should line up
with data from another are showing major inconsistencies.
Data can be combined for further analysis because
different teams use different data formats
and tools don't integrate well or at all.
Your lead data steward is sending you
daily emails identifying one data risk after another.
It's enough to keep any data leader up at night.
How does Microsoft Fabric address
all these pain points while also
preparing your data for the new era of AI?
First, Microsoft Fabric unifies all that siloed data
into an intelligent data foundation
for all analytics workloads.
Your teams can use existing skill sets
with the built-in familiarity of Data Factory,
the Next Generation of Synapse, and Power BI.
Microsoft Fabric also eliminates
the dreaded integration tax.
No more costly overhead with a multitude of
vendors and tools that barely work together.
You get the unified lake first Software as
a Service or SaaS environment
with a single pricing structure,
making Fabric an easy to
manage modern analytics solution.
In Microsoft Fabric,
your analytics workloads work seamlessly
with OneLake and enterprise grade data foundation,
minimizing data management and delays
by eliminating data movement and duplication.
Think of OneLake as OneDrive for all your data.
With persistent governance,
your collaboration headaches are over.
Your data stewards can finally manage
the layers of access needed for your business.
Microsoft Fabric reduces the pain of
integration and facilitates better collaboration
with a solution that makes it easy to connect and
use the different analytics tools your team need.
To review, with Microsoft Fabric,
you gain competitive edge with the lake
first SaaS solution to handle
all your data needs with no data movement.
Microsoft Fabric is open at
every layer with no proprietary lock-ins.
It comes with built-in enterprise security
and governance to
empower your teams to responsibly
share and collaborate with data.
Microsoft Fabric empowers business users with
deeply integrated Microsoft Office and Teams experiences.
Microsoft Fabric also delivers
AI copilots to accelerate analytics productivity,
help you discover insights faster,
and better prepare your data for
your custom AI enhanced solutions.
Now, without further ado,
here is a sneak-pick.
SPEAKER 1: It's time to empower people
to activate the potential of data,
to bridge the gap between data and intelligence.
Introducing Microsoft Fabric,
an open and govern human-centered
solution that integrates all your data and tools.
With Microsoft Fabric,
data engineers can visually
integrate data from multiple sources.
Data scientists can model and transform data.
Data analysts can bring together
more datasets and enable deeper insights.
Data stewards can govern data and eliminate sprawl.
Business users can work directly with data,
uncovering and shaping the intelligence they
need to make critical decisions that drive innovation.
By breaking down every barrier and equipping
every data professional with access to every tool,
your organization creates intelligence faster.
Now your teams can all work
seamlessly from a single data foundation
in Microsoft Fabric with
consistency across all your analytics workloads.
AI powered features like Copilot,
help your teams connect data sources,
build Machine Learning models,
and visualize results at the speed of thought.
Intelligence securely flows to
the applications where people work,
helping them make better decisions
for transformative impact.
Persistent governance helps ensure compliance and
security when users access and collaborate with data.
Empower your teams,
unlock your data potential,
transform your organization.
Microsoft Fabric.
SWETHA MANNEPALLI: With that, we have come
full circle on
why every organization needs
a unified data foundation and how
Microsoft Fabric can help you achieve your data goals.
In addition to showcasing this unified solution,
we also want to help you
envision how Microsoft Fabric will support
your organization through every phase
of the data lifecycle journey.
To that end, we have identified four fundamental steps.
First, you will want to unify your data estate.
Next, you will build
analytic models based on your business needs.
Third, you'll imply data governance to
responsibly democratize
analytics across your organization.
Finally, you'll scale transformative analytics and
AI-powered applications to drive
innovation and competitive edge for your company.
Now let's dive deep into each of these areas,
starting with unifying your data estate.
We all know that deriving value from
data is top of mind for any organization.
With Microsoft Fabric,
you will unlock more potential
from your data sources and improve
analytics efficiency by moving away
from proprietary to open standards.
The stats show that 55 percent of companies have
manual approach to discovering
data within their own enterprise,
while 81 percent of the organizations have increased
their data and analytics
investments over the past two years.
The core principles here are simple.
To drive a unified data estate for analytics,
you need comprehensive and accurate data integration
with reliable data preparation.
Start streamlining data integration
with the lake first approach
and improve data quality and
consistency with no redundancies.
By doing this, you will increase
flexibility and scalability to meet
changing business needs instead of going back to
the drawing board whenever a new requirement comes up.
For data preparation, you will
simplify the process to reduce time
and errors empowering you to drive
more meaningful insights and
decision-making with intelligent transformations.
Now that we have seen the power of unifying data,
let's move on to our second pillar,
build fit-for-purpose analytics models.
Analytics models can be
the curated layer to serve your data warehouse needs,
or predictive models that inform
your future business strategy all
free off of your Lake First Data Foundation.
Build your fit-for-purpose analytics models,
establish a single source of truth by
building your models on the unified data foundation.
This will reduce the overhead and
risk of unnecessarily moving data,
helping achieve cost and performance efficiencies.
Start the paradigm shift by
incrementally modernizing towards a lake
first pattern that serves as
your foundation to build your data estate.
By doing this, you will eliminate data silos
to enable quicker access to
insights by data professionals.
This will enable you to optimize data estate for
complex queries and analysis
with semantic data science models.
This will create opportunities to leverage trend analysis
with historical data using
modern cognitive service integration.
So far, we have covered two pillars.
One focused on a unified data foundation with one lake,
and the second covering sophisticated data models.
Now let's explore the third pillar,
which is responsibly democratizing data and
analytics with the best in
category, governance and security.
Data governance is the glue that bridges the discovery of
data to the derived business value data represents.
Without data governance, you cannot
responsibility share data with the teams that need it.
If you do not responsibly democratize data,
you cannot accelerate data value creation.
Microsoft Fabric unlocks this critical capability so
you can operate with confidence
when sharing data and insights.
Data governance is a foundational pillar that fosters
a data culture by enabling
access to the right data for the right users.
When you automate data governance across the enterprise,
you can easily comply with regulations
like General Data Protection Regulation,
which is GDPR, HIPAA, and more.
You will start gaining insights into
sensitive data and analytics across your data estate.
Responsible data democratization makes
data easily discoverable and
with the right access control,
you will enable right users
to consume the right levels of information.
It will enable you to provide near
real time responses that business changes.
Aligned teams with a single unified source of truth,
enable secure
democratized insights across your organization.
Leverage a powerful solution
with flexibility in costs and
usage by enabling better
decision-making for transformative impact.
Integrate your services with an open,
secure and governed foundation
with all the goodness you have seen
so far in terms of how
Microsoft Fabric can support your ambitions to unify,
scale, and manage your data estate
in the era of AI, time is now.
In summary, by leveraging Microsoft Fabric,
your teams will be better
aligned by no longer needing to piece
together various data analytics
and business intelligence solutions.
Establishing a center of enablement for every user
will help you democratize
your insights and achieve faster timed value.
Plus, you won't have to worry about
sacrificing the integrity of your data estate,
because Microsoft Fabric comes
equipped with built-in security,
governance and compliance capabilities,
giving you peace of mind as you grow and scale.
Throughout this journey to public preview,
we have collaborated closely with customers
and partners taking into account feedback and learning.
We have the pleasure of having a few of
them share their excitement with all of us today.
CORY MOORE: We've been
using these Microsoft platforms
for several years now.
Now with Microsoft Fabric being able to utilize all of
those various services within
a single user interface that's very intuitive,
it's very clean, it's got
the familiarity of PowerBI in it as well,
which is easy for us to adopt.
Microsoft Fabric provides some opportunities for us
to improve our governance processes.
GEORGE RASCO: Microsoft Fabric elevates
our process by reducing the time to delivery,
by removing overhead, by
utilizing multiple desks per services.
By consolidating
the necessary data provisioning transformation,
modeling, analysis services into one UI,
Microsoft Fabric
meaningfully impacts focuses data storage,
engineering and analytics groups,
since all of these workflows can now be done with
the same UI for faster delivery of insights.
GUIDO SICURO: Our customers priorities
are heavily interrelated with data,
and a lot of those organizations are really
struggling with managing their data effectively.
Fabric has the benefit of reducing data integration tasks
and unifying hybrid and multi-Cloud data estates.
We're very excited to work with
Microsoft on combining these capabilities with
our KPMG 1 data platform to help
our customers accelerate their data potential.
ALAN GROGAN: For the sites
, this is bringing
a single enterprise grade foundation that
will underpin the customer use cases across AI,
machine learning and analytical domains.
Microsoft Fabric will help out on that,
elevate customer conversations to a more strategic level.
We have a Lofar expanded tool kit
to address customer challenges.
JITESH GHAI: Informatica
is excited to be
the design partner of Microsoft Fabric.
Working extremely closely with the Microsoft team,
Informatica's Intelligent Data Management Clouds
integrated with
the Microsoft Fabric experience will address
critical customer challenges
across enterprise data management,
data quality, data integration,
data governance, data catalog,
and data privacy, real-time,
ELT change data capture,
replication into the open and govern
one lake into the delta Parquet format is game-changing.
ANIL NAGARAJ: PWC need a lot of programs
involving redefining
business processes for our customers,
supporting some very critical launches
and demonstrators as well.
These programs run under a very tight timeline.
With one lake, the implementation becomes very simple.
By avoiding multiple data hops,
we enable a data platform build much
quicker and deliver insights
to business much faster as well.
The province wide data governance
is another key aspect that
reduces the risk from
the overall analytic platform by itself.
Further infusion of generative AI
into Microsoft Fabric is going to be a game changer.
SWETHA MANNEPALLI: I hope you are ready to
embark on this journey with us.
Start by visiting
the Microsoft Fabric website and sign up for
your free trial or by reaching
out to a Microsoft representative.
Thank you for tuning in today and
have a great time learning more at Build.