Developing a Modern
Enterprise Data Strategy
Sai Venkatesh Attaluri
• Big Data
• Data Science
• Data Mining
• Data Marting
• Data Clusters
• Data Integrity
• Data Security
The list goes
The Big Mystery
• Big data and analytics have climbed to the top
of the corporate agenda.
• Together, they promise
–To transform the way companies do business
–Delivering the exceptional performance
–Assuring competitive differentiation
• But what is required to fully exploit data and
4 PRINCIPLES OF A SUCCESSFUL DATA
• How does a Data Generate Value?
• What are our Critical Data Assets?
• What is our Data Ecosystem?
• How do we Govern Data?
• Prioritize for highest business value when using
• Provide highly productive teams of data
scientists and engineers.
• Design with outcomes in mind.
• Be agile: deliver initial results quickly, then
adapt and iterate.
• Collaborate constantly with cross functional
Revealing The Mystery
• It requires three mutually supportive
1.Identify, Combine & Manage Multiple
Sources Of Data.
2.Capability to build Advanced Analytics
Models for Predicting And Optimizing
3.Management must possess the muscle to
transform the organization so that the data
and models actually yield better decisions.
MAKE SURE IT’S FLEXIBLE
• Technology moves incredibly fast, and
competitive landscapes are highly
• Your data strategy should be a living
document, revisited often and revised as
MAKE SURE IT’S ACTIONABLE
• If it isn’t clear how you’re going to
execute your strategy, then you don’t
have the right one.
• Must work within the realm of the
possible and practical.
Business Value Addition
Courtesy: Silicon Valley
Data Strategy Checklist
Courtesy: Silicon Valley
• A clear strategy for how to use data and
analytics to compete.
• What the data can do for you?
• How it can yield business results to the
• Which deployment of the right
technology and capabilities to be
Choose The Right Data
• Leaders should invest sufficient time and
energy in aligning managers across the
organization in support of the mission with a
clear vision of the desired business impact
–Model Building for Panoramic and Granular
–Discovering the Invisible
• Source Data Creatively
• What decisions could we make if we had all the information we
• What’s the least complex model that would improve our
• Get The Necessary IT Support by Build models that predict and
optimize business outcomes
– Business leaders can address short-term big-data needs by
working with CIOs to prioritize requirements.
– The most effective approach to building a model usually starts,
not with the data, but with identifying a business opportunity
and determining how the model can improve performance.
– Although advanced statistical methods indisputably make for
better models, statistics experts sometimes design models that
are too complex to be practical and may exhaust most
• Transform your company’s capabilities
– Manage Resistance
– Resistance arises due to a mismatch between an organization’s
existing culture and capabilities and emerging tactics to exploit
– Provide a clear blueprint for realizing business goals
– Avoid Complex Tools designed for experts rather provide simpler
ones for the frontlines.
– Bottom line: using big data requires thoughtful organizational
change, and three areas of action can get you there.
• Develop business-relevant analytics that can be put to use
– By necessity, terabytes of data and sophisticated modelling are
required to sharpen marketing, risk management, and
Transforming Information into
Knowledge Focus on a specific process as a
Create common business language
across the enterprise.
Embed that language in tools,
systems and processes to create
new business capabilities and
Create governance and change
management programs to
leverage these capabilities in day-
to-day work processes.
Apply accepted practices to
unstructured content processes to
promote better information
Measure the information mgmt
Measure business impact of new
Repeat on a department by
• Embed analytics in simple tools for the front lines
– Separate the statistics experts and software
developers from the managers who use the data-
– Bottom line: To give frontline managers intuitive
tools and interfaces that help them with their
• Develop capabilities to exploit big data
• Adjusting cultures and mind-sets typically requires a
multifaceted approach that includes training, role
modelling by leaders, and incentives and metrics to
• Executives should act now to implement big data and
• Rather than undertaking massive change, executives
should concentrate on targeted efforts to source data,
build models, and transform the organizational
• Such efforts help maintain flexibility. That’s essential,
since the information itself—along with the
technology for managing and analyzing it—will
continue to grow and change, yielding new