This presentation highlights the factors that are critical for the success of a Data Analytics initiative. Questions like how one should go about analyzing data and why data analytics initiatives go wrong are answered in this presentation.

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Critical Success Factors for
A Data Analytics Initiative
Jagadish Iyengar
VP & Head - Digital Transformation Services

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The search for insights… in an ocean of data.

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Why do analytics initiatives go wrong?
Data
Tools
Skills
Mindset
Sponsorship

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Why do analytics initiatives go wrong?
Data
Tools
Skills
Mindset
Sponsorship
Not starting is a real risk!

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A journey of a thousand miles begins with a single step
(Lao Tzu)

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Where do you begin? What are you looking for?

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Data Availability & Quality
Granularity?
Historical data?
“Negative” data?
…
Consistency?
Accuracy?
Completeness?
…
Availability Quality

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Data Availability & Quality
Granularity?
Historical data?
“Negative” data?
…
Consistency?
Quality?
Completeness?
…
Availability Quality

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Tools, Working environment To Manage the 3 V’s
• « Big » data
• Ingestion, Persistance, Processing
• On-premise vs cloud
• Stream processing
• Fast data
• Lambda architecture
• Structured versus unstructured
• Multimedia
• Semantic
Volume
Variety
Velocity

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Tools, Working environment To Manage the 3 V’s
Volume
Variety
Velocity
• « Big » data
• Ingestion, Persistance, Processing
• On-premise vs cloud
• Stream processing
• Fast data
• Lambda architecture
• Structured versus unstructured
• Multimedia
• Semantic

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Right combination of skills
Data
Engineering
Data
Science
Business
Domain

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Right combination of skills
Data
Engineering
Data
Science
Business
Domain
Partner

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Right combination of skills
Data
Engineering
Data
Science
Business
Domain
Partner

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Choose a picture!

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Path of Discovery, rarely a linear execution plan

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And there will be questions…
How much will it save us?

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Sponsorship is key!
How much will it save us?

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Bon Voyage!
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