Everyone wants to capture the benefits of big data by making better data driven decision. We are inundated by analytical tools that deliver "insights" and process information quickly. Although often overlooked, creating a data driven culture is as important as finding the right tools to make data driven decisions. Organizations who skip this foundational element often find their investment in Data tools and personal don't yield the benefits that becoming Data Driven is supposed to unlock. In this talk you'll learn about why creating a Data Driven culture is vital to every organization and the starting point for ensuring your data strategy generates strong impact and ROI. Takeaways: What is a data driven culture? Where does it start? What happens when you implement tools (tableau, power BI, Machine Learning, etc) without first having a data driven culture Stages of a Data Driven Culture? How to get started? Your Instructor: Kevin Chapin is the Practice Director for Data and Analytics at Slalom Consulting. To see the full talk, click here: https://www.youtube.com/watch?v=7xNLgiK31Is

1. 1
Creating
a modern
culture
of data
Mike Lewis
Kevin Chaplin

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About your presenters
Mike Lewis
Business Advisory Services – Principal Consultant
Kevin Chaplin
Data & Analytics – Practice Director
Mike has 15+ years of global Organization
Effectiveness (OE) and Program/Project
Management experience across multiple
industries and business functions.
Passionate about the intersection of People
Transformation and Data & Analytics, he
consistently delivers exceptional results by
anchoring on his client’s business strategy to
drive desired business outcomes.
Kevin has 15+ years of experience leading
data programs to successful completions for a
variety of industries. 5 years ago, Kevin
created the North Chicago Tableau User
Group and later spoke at the Tableau
Conference. Kevin believes that data is
powerful, and that every person should have
the tools and knowledge to gain value from it.

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❑ Benefits of a data culture
❑ Customers with changing data strategy
❑ Slalom’s Modern Culture of Data
❑ Asks from Chicago clients
Today’s Goals

4. 4
A modern culture
of data is an environment
of experimentation,
empowerment, curiosity,
critical thinking, and
collaboration.
What is a
modern
culture
of data?

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F R O M
siloed
intuitive
risk-averse
Achieving this
environment
requires a shift in
how you work.
T O
collaborative
data-driven
experimental

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A successful shift can drive:
Disrupt your industry or
avoid being disrupted.
Anticipate your customers’
needs and connect deeply
with them.
Ask questions, experiment,
and uncover the unexpected.
Enable your organization to
be adaptive – not reactive.
Inspire your employees by
empowering them.
Drive rapid growth while
maintaining operational rigor.
Save time and money. What else could you do?
People Scale Efficiency Growth
Innovation Customer 360 New Opportunities Agility

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Case Study – Retail / REIT
Note: Above value chain represents an illustrative model of said industry
Traditional Value Chain
Retail REITs traditionally own and lease out their retail
asset inventory to major retailers who have traditionally
owned the shopper relationship
Strategic Data Disruption
Finding ways to improve the in-mall shopping
experience for shoppers to defend against the
threat of e-commerce
• Mall visit frequency
• Stores visited across mall visit
• Parking availability
• Product catalog
REIT / Mall Owner
Designer/Manufacturer
Retailer
Shoppers

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Leveraging Strategic Data – Restaurants
Note: Above value chain represents an illustrative model of said industry
Traditional Value Chain
Highly fragmented restaurant industry leaves gap in
gathering strategic data for customer behavior data across
various chains
Strategic Data Disruption
OpenTable generates strategic data by driving
reservations into point-of-sale systems in all
participating restaurants
• Restaurants visited
• Preferred cuisines
• Food ordering history
Farmer
Food Distributor
Restaurant
Customers

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A modern
culture of data
unlocks the
potential of your
organization.

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A modern
culture of data
is enabled by
five key
elements.

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Bold Vision
Chartaclearpath.
To build a successful modern culture of
data, you need to know where you are
going, how you’re getting there, and why
it’s important.
Defining a bold overarching vision aligned
to the overall corporate strategy -- and
supported by executive leadership -- will
allow the entire organization to share in a
unified sense of purpose.
Clearly articulating strategic and
operational objectives aligned across
multiple functional areas will further
emphasize collaboration and behavioral
change.

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Access & Transparency
Buildintegrateddataandflexible,scalablesystems.
A true data-driven culture is built on a
modern technology foundation that
provides easy access to data and
tools.
With a scalable and integrated
architecture and infrastructure, siloes
are removed and data is available to
everyone.
Flexible, user-friendly systems allow
users to be agile and nimble in their
analyses, reaching data-driven
decisions at the speed of business.

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Guardianship
Establishtrustindata,tools,andpractices.
Data guardianship ensures that the use,
ownership, and maintenance of data is
safe, secure, compliant and ethical.
With good guardianship, the organization
follows data compliance policies and
regulations and proactively plans,
adheres to forthcoming legal regulations,
and across the organization it is well
known that the legal use of data does not
equate to the ethical use of data.
People are confident in their use and
interpretation of data, believing that the
data is trustworthy, reliable, and of high
quality.

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Data Literacy
Developthemindsetandskillsthatdriveaction.
Data literacy ensures that people
have a fundamental understanding of
data, how to analyze it, and how to
use it to make decisions and take
action—at all levels and in all
processes and parts of their
business.
People feel empowered to uncover
insights, ask questions, think
critically, and challenge conclusions
with data and experimentation.

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Ways of working
Embedinsightsinbehaviorsandoperations.
An operating model and organizational
structure with processes, roles and
responsibilities that support the
organization’s bold vision will ensure that
data and analytics are embedded into
day-to-day operations, planning, and
decision-making.
Leadership and champions incentivize an
analytical mindset and enable data-driven
behaviors. The continuous development
of new data skills and resources through
recruiting, learning, and training is always
a top priority.

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Modern Culture of Data Framework
MCoD is a comprehensive framework spanning strategy, people, process, and technology to deliver value from data
Unlock the Power of DataBold Vision Ways of
Working
WHY
Access &
Transparency
(See the data)
Data Literacy
(Use the data)
Guardianship
(Trust the data)
• Aligned Strategy
• Value Case
• Success Metrics
• Operating Model
• Organizational
Structure
• Modern Delivery
Model
• Enabled Self-
Service
• Intake & Demand
• Data Integration &
Engineering
• Flexible & Scalable
Systems
• Tools & Technology
• Reference
Architecture
• Data Ownership &
Governance
• Data Management
• Data Quality
• Data Sharing &
Ethics
• Data Compliance &
Ethics
• Data Savvy Skillset
• Adoption & Change
• Experimentation
• User Experience
• Data-Driven Decisions
• Analytics &
Understanding
HOW WHAT

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Through our discussions with clients on their challenges in reaching a Modern Culture of Data, we have observed that
many face a common set of challenges.
What We Are Hearing
Bold Vision
How do we establish enterprise alignment
on our strategic vision?
How do we quantify and gain agreement on
the business value created by our data-
focused efforts?
Ways of Working
How do we stand up an enterprise-wide
Global Data Office to establish data
culture?
How do we build the trust and partnership
between IT and the Business?
Access &
Transparency
How do we achieve a single source of
truth for our data?
How do we best enable self-service
reporting for the business?
Guardianship
How do we ensure regulatory compliance?
How do we get ahead of anticipated
regulatory changes (e.g., CCPA)?
How do we improve our organization’s trust
and data quality for our data and reports
shared with our people, c-suite, clients?
Data Literacy
How do we upskill our organization for our
data literacy needs?
How do we encourage data-driven
decision-making across the organization?

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Chicago Client Conversations
DVP, Business Analytics & Information
Management
How do we stand up an Enterprise-wide
Global Data Office to establish a data
culture at our company?
• Five Pillars of MCoD
• Centralized vs. Distributed Ownership
(Operating Model)
Clients across all industries and all business functions are asking for help in different ways
Sr. Director Data & Analytics
Responsible for data migration to the
cloud
How do we instill data-driven decision-
making across the organization? How do
we establish Data Office/IT/Business
partnerships that deliver value?
• Five Pillars of MCoD
• Alignment on Data Strategy; Org
Structure and Key Roles; Data
Governance
Retail Client Life Sciences Client

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Thank you