The document discusses the importance of building a data-driven culture within organizations, emphasizing data as a strategic asset akin to capital. It highlights various types of data and the necessity for executives to understand data science to harness its full potential in decision-making. Key takeaways include the integration of data into all company processes and the growing need for leadership that can leverage data effectively.

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Building a Data Driven Culture in Your
Organization

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Leveraging the full potential of
your Data Assets

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Data is a strategic asset
Data is the new form of capital

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Structured Unstructured
Semi Structured Quasi-Structured
• Data having
a defined
data model,
format, and
structure
• Textual data files
with irregular
patterns that can
be formatted with
effort and
software tools
• Data that has
no inherent
structure and is
usually stored
as different
types of files
Data – it’s not just for data scientists!
• Textual data
files with an
apparent
pattern,
enabling
analysis
“The future belongs to those who can capture all this data,
and derive meaning from it”

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Accuracy
Timeliness
Usage
Relevance Ease / Speed of Access
Cost
Security
Compliance / Risk
Privacy / Ethics
The 4 W’s

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The Data Lifecycle
Source: Harvard Business School Online, Forbes

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“A day in the not-too-distant future when data will be an asset reported and
accounted for in a company’s balance sheet and reflected in its market cap. This
means that every CEO must be as strategic about acquiring, growing, refining,
safeguarding and deploying their data as they are with their human, financial and
intellectual capital.”
Accenture Global Data & Applied Intelligence
Source: Accenture Research

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Data-driven Organization

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“Being a data-driven organization means culturally
treating dataas a strategic asset and then building
capabilities to put that asset to use not just for big
decisions but also for everyday action on the frontline.”
We are a multi-disciplinary team on the journey of data-
driven business transformation …
We employ state-of-the-art Artificial Intelligence and
Machine Learning (AI/ML) techniques … to harness the
power of data and solve our most challenging business
problems.
The key is to unlock the trapped value in Data.

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Data embedded in every decision,
interaction, and process
Data is processed and delivered in
real time
Flexible data stores enable integrated,
ready-to-use data
Data as a product !
Data science function is
expanded to generate value
What it means to be “data-driven” is rapidly evolving …
Source: McKinsey Insights – The Data-Driven Enterprise of 2025

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Key Takeaways

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At a conceptual level, nothing in the data science domain
is out of reach for any executive’s understanding ...
Source: Harvard Business Review, Forrester Market Insights
The world needs more data science, but it needs business leaders who
understand the potential of data science even more.
Keep in mind that there is no magic!

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