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Make Data
Work
for You
Uncover how your business can save
money and find new revenue streams

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Welcome!
Monisha Deshpande
Global Director, Solution
Value Advisors
Google Cloud
Joyeeta Banerjee
Head - Data Analytics
Solution Value Advisory
Google Cloud

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Today’s Agenda
Welcome!
Closing the data value gap critical for success
How to accelerate business outcomes
Getting started
Q&A and Closing

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Make Data Work for You 4
Table of Contents
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8 Ways to Reduce Expenses and Boost Revenue
Improve efficiencies in
logistics and supply chains
Speed up document-based
workflows
Cut contact center costs Automate operations
for IT management
01 02 03 04
05 06 07 08
Optimize sales and
marketing programs
Turn data sets into
monetizable assets
Boost cross-sell and upsell
with AI
Enhance and scale digital
experiences

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Closing the data value gap
ensures competitive advantage

The data value gap has continued to expand
181ZB
expected by 2025
- STATISTA, FEB 2022
More data silos
More complexity
Low productivity
Increasing costs
More security risk
Unclear business KPIs
Lack of data governance
Limited availability
- HBR, 2021
68%
unable to realize tangible &
measurable Value from Data

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Companies that use big data see an
average profit increase of 8%
They also see a 10% reduction in costs,
on average
Data value gap leads to a business performance gap
Zippia, 26 stunning big data statistics [2023]:
Market size, trends and facts (by Abby McCain)
Jan. 16, 2023. here

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Data leaders are seeking answers to their strategic and operational questions
Have I made the right investments in my data foundation?
How do I position myself to leverage AI/ML use cases to drive change with data?
How can we make our data more accessible and usable for different teams and functions?
How can we better leverage our data to drive business value outcomes?
How can we effectively govern and secure access to our data across the organization?

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Staying Ahead of the Curve Productivity & Empowerment Coordination and Collaboration
Integrating new technology can be
costly and challenging for
organizations with limited IT
resources
Poor tooling and data quality means
users spend more time organizing and
validating data than extracting insights
Effective data governance requires
collaboration across departments
and stakeholders with varying
priorities.
The business performance gap is due to three main areas across
your data platform…
Process
People
Technology
Among Fortune 1000 executives, 95%
cited cultural factors as blocking big
data adoption, compared with just 5%
citing technology.3
Data scientists spend about 45% of
their time on data preparation
tasks, including loading and
cleaning data
Only 27% of business executives say
its company's Big Data initiatives are
profitable.1
Source: (1) 30+ Incredible Big Data Statistics (2023), Dec 2022 (2) Data Prep Still Dominates Data
Scientists’ Time, Survey Finds, July 2020 (3) Data Governance Statistics 2023, Jan 2023

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Understanding your business objectives and defining your data
strategy captures the highest ROI
Collect and
Publish
Store and
Process
Analyse and
Activate
Governance, Security, Multi-Cloud
Data Culture
Creating the Foundations of Data Driven Enterprise
Business Objectives
Data Strategy fuels Revenue Growth
AI powered
outcomes
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What are their business objectives over the next 12 months?
What role will data play towards the growth and transformation of your organization?
Data
Producers
Data
Consumers
Tech optimization People productivity
Operational effectiveness

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Google Data Cloud accelerates
business outcomes

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Tech Optimization
Have I made the right investments in my data foundation?
Eliminate redundant
technology licenses
and subscription
fees
Scale for peak loads
while eliminating the
need for capacity
planning
Reduce infrastructure
cost and optimize
storage and compute
costs
30% reduction in costs.
Simplifies content and people discovery by
using a personalized content feed on its
mobile app home page.
Using a Cloud Spanner database, ShareChat
migrated from a NoSQL database to a
relational database which reduced costs by
30%.
When its traffic grew by 500%, ShareChat
managed to scale horizontally with zero lines
of code change.
Launched its Moj video app, and within a
week, it rolled out the app to another region
flawlessly.

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Enhanced Operational Effectiveness
How can we best utilize new technologies, such as AI/ML, to extract insights from
our data?
Reduce supply chain
disruptions with
increased supply chain
visibility
Improve marketing
effectiveness through
personalization
Cut Contact Center
Costs
50%
As more of its business moved online, Marks &
Spencer needed to modernize its call handling
With Google Cloud Contact Center AI, callers
could say what they needed in everyday
language rather than choosing an option
Dialogflow helped deliver lifelike, natural
customer experiences with virtual agents
AI-powered conversational speech recognition
accurately routed 92% of calls to the right
destination
volume of calls to
stores reduced.

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People Powered Productivity
How can we make our data more accessible and usable for different teams?
Reduce operational
costs of managing
legacy data platforms
Speed up Document
Based Workflows
Enable self-service
analytics to drive process
efficiencies
60%
Lowered the total
cost of ownership
for procure-to-pay
processing by up to
250%
Provides procure-to-pay services to small and
medium-size businesses in 15 European
countries
Requires the company to handle nearly 350
million invoices, receipts, and other documents
a year
Needed automation to help its customers
transition from paper-heavy processes to
digital ones
Turned to Google Cloud Document AI for a
cost-effective way to extract data from
documents in more than 200 languages
Boosted data
accuracy by

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Revenue Growth
How can we better understand and leverage our data to drive business value?
Reduce Customer
Churn
Acquire net new
customers & drive
cross-sell or upsell for
existing customers
Net New Revenue
streams via data
monetization
+60%
The company partly
attributes an increase
of more than 60% in
ecommerce revenue
during the pandemic to
this personalization.
To retain leadership, Carrefour wanted
to strengthen its omnichannel
experience
Transitioned to Google’s data cloud
and developed a new platform called
Darwin
Enabled data scientists to securely
access enormous amounts of data in a
structured way within minutes.
Build smarter models for customer
behavior and a personalized
recommendation engine for
ecommerce

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Next Steps, we will meet you
where you are

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Let us meet you where you are on your Data Journey
Let’s start with your goal..
Optimize your
operations with
custom AI models
Create feedback
loops and AIOPs
Optimize core data
systems, migrate legacy
data warehouses/
datalakes
Enrich Data Foundations
with additional data
sources
Allow end users and data
scientists data insights
across data types &
formats
Create data unification
across on-prem or other
clouds; migrate
Modern Marketing
Analytics or Supply Chain
Transparency
Prepare to create a
single view of dat
across multiple cloud
environments
Enable data sharing
across organization and
with partners
Implement cost controls
and reporting to improve
cost predictability
Deliver insights
at speed and scale
Foster a culture of
data-driven innovation
Launch new data
monetization products
Secure the Data
Foundation & create
strong data governance
Start with
your
business
priority
Build for the AI
frontier
Build the foundation,
optimize current
spend, mitigate risks
Deliver business
value across LoBs /
drive revenue
Empower end users &
drive productivity
across the platform

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Developing the financial business case
Savings from elimination of
on-premise costs today relative
to future state GCP costs
Productivity savings across
personnel re-deployed to higher
value work with a focus on data
engineers, data scientists, data
analysts and consultants
Revenue acceleration leveraging
critical analytics use cases
prioritized across business units
due to GCP’s data platform
Revenue loss avoidance from
planned and unplanned outages
and security breaches
Total cost of ownership Staff productivity
Operational resiliency
Business agility

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Identify a strategic starting point
01
02
03
Bring your data together in one place and
organize it
Implement AI by creating models that address
your priorities
04
05
Build operational frameworks for ongoing
work with data
Partner with the CFO and finance teams
How to get started using data
to cut costs and drive revenue.
Make Data Work for You 19
Get started

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Q&A

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Thank you
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