Data Maturity · Data maturity is business-focused 3 focused on the data 70-80% Most business...

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William McKnight President, McKnight Consulting Group With host Andrew Brust Market Strategy Advisor, Io-Tahoe CEO, Blue Badge Insights Data Maturity Evaluate it, achieve it and evolve it

Transcript of Data Maturity · Data maturity is business-focused 3 focused on the data 70-80% Most business...

Page 1: Data Maturity · Data maturity is business-focused 3 focused on the data 70-80% Most business initiatives are Yet, most businesses lack data literacy and maturity

William McKnight

President, McKnight Consulting Group

With host Andrew Brust

Market Strategy Advisor, Io-Tahoe

CEO, Blue Badge Insights

Data MaturityEvaluate it, achieve it and evolve it

Page 2: Data Maturity · Data maturity is business-focused 3 focused on the data 70-80% Most business initiatives are Yet, most businesses lack data literacy and maturity

Speaker bios

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William McKnight

• President, McKnight Consulting Group

• Analyst, Author, Speaker

• Alumnus of IBM, Visa International, Anthem

Andrew Brust

• Covers Big Data and analytics for ZDNet

• Strategy Advisor to Io-Tahoe

• Data-focused tech career started in 1985

Page 3: Data Maturity · Data maturity is business-focused 3 focused on the data 70-80% Most business initiatives are Yet, most businesses lack data literacy and maturity

Data maturity is business-focused

3

focused on the data

70-80% Most business initiatives are

Yet, most

businesses lack

data literacy and

maturity

Page 4: Data Maturity · Data maturity is business-focused 3 focused on the data 70-80% Most business initiatives are Yet, most businesses lack data literacy and maturity

Data maturity:

pieces of the

puzzle

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Components in the data maturity landscape

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Data Warehouse

Most important

Drives DW/BI/Analytics

improvement

Provides value because

it’s solid, “consensus” data

Supports big data

initiatives

Push to applications

Push to Warehouse

Push to Lake

MDM Hub

Use Hadoop?

Use Spark?

Or just cloud object store?

Data Lake(s)

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• It’s not just the tools workflow

• AI/ML-driven data work still needs the business input

Data governance process

CatalogSecurity Glossaries Business Input:

• Roles

• Business rules

• Data quality rules

• Sourcing rules

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Master Data Management

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Without: varying

lists of customers,

products, locations,

etc.

With: a global

taxonomy for

entities, categories

that matter for and

descriptive,

predictive analysis

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Data

architecture,

federation

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Data architecture, maturity

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Data Architecture

• Data stores, how they’re related, what goes where

• Data marts, streaming, columnar, GPU, NoSQL

What mature orgs do well:

• Data integration

• Data virtualization

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Data virtualization: pros and cons

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Coordinated

Relational and Data Lake

Avoids data movement,

duplication

Respects data hierarchy

Siloed

Different data in different places,

using different technology stacks

Will it impede self-service?

Will it make insights more

elusive?

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Disclaimer: Gartner does not endorse any vendor, product or service

depicted in its research publications, and does not advise technology users

to select only those vendors with the highest ratings or other designation.

Gartner research publications consist of the opinions of Gartner's research

organization and should not be construed as statements of fact. Gartner

disclaims all warranties, expressed or implied, with respect to this research,

including any warranties of merchantability or fitness for a particular purpose.

Gartner Cool Vendor

Io-Tahoe named Cool

Vendor in Data

Management, 2017

Published: 28 April 2017 ID: G00326775

2017

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Thank you

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Page 13: Data Maturity · Data maturity is business-focused 3 focused on the data 70-80% Most business initiatives are Yet, most businesses lack data literacy and maturity

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