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Proprietary + Confidential
Make Data
Work
for You
Uncover how your business can save
money and find new revenue streams
Proprietary + Confidential
Welcome!
Monisha Deshpande
Global Director, Solution
Value Advisors
Google Cloud
Joyeeta Banerjee
Head - Data Analytics
Solution Value Advisory
Google Cloud
Proprietary + Confidential
Today’s Agenda
Welcome!
Closing the data value gap critical for success
How to accelerate business outcomes
Getting started
Q&A and Closing
Proprietary + Confidential
Make Data Work for You 4
Table of Contents
Download our latest eBook
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
Proprietary + Confidential
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
Proprietary + Confidential
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
Proprietary + Confidential
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
Proprietary + Confidential
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
Proprietary + Confidential
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
Proprietary + Confidential
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
Proprietary + Confidential
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
Proprietary + Confidential
Proprietary + Confidential
Q&A
Proprietary + Confidential
Thank you
Download the report:
Request a demo: cloud.google.com/contact

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Make Data Work for You

  • 1. Proprietary + Confidential Make Data Work for You Uncover how your business can save money and find new revenue streams
  • 2. Proprietary + Confidential Welcome! Monisha Deshpande Global Director, Solution Value Advisors Google Cloud Joyeeta Banerjee Head - Data Analytics Solution Value Advisory Google Cloud
  • 3. Proprietary + Confidential Today’s Agenda Welcome! Closing the data value gap critical for success How to accelerate business outcomes Getting started Q&A and Closing
  • 4. Proprietary + Confidential Make Data Work for You 4 Table of Contents Download our latest eBook 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
  • 5. Proprietary + Confidential Closing the data value gap ensures competitive advantage
  • 6. 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
  • 7. Proprietary + Confidential 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
  • 8. Proprietary + Confidential 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?
  • 9. Proprietary + Confidential 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
  • 10. Proprietary + Confidential 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 Proprietary + Confidential 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
  • 11. Proprietary + Confidential Google Data Cloud accelerates business outcomes
  • 12. Proprietary + Confidential 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.
  • 13. Proprietary + Confidential 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.
  • 14. Proprietary + Confidential 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
  • 15. Proprietary + Confidential 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
  • 16. Proprietary + Confidential Next Steps, we will meet you where you are
  • 17. Proprietary + Confidential 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
  • 18. Proprietary + Confidential 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
  • 19. Proprietary + Confidential 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
  • 21. Proprietary + Confidential Thank you Download the report: Request a demo: cloud.google.com/contact