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
Speaker bios
2
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
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
Components in the data maturity landscape
5
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)
• 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
6
Master Data Management
7
Without: varying
lists of customers,
products, locations,
etc.
With: a global
taxonomy for
entities, categories
that matter for and
descriptive,
predictive analysis
Data
architecture,
federation
Data architecture, maturity
9
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
Data virtualization: pros and cons
10
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?
11
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
Thank you
12
This file is private and may contain confidential and proprietary information. If you have received this file in error, please notify us and remove it from
your system, and note that you must not copy, distribute or take any action in reliance on it. Any unauthorized use or disclosure of the contents of this
file is not permitted and may be unlawful. Io-Tahoe LLC, 111 Broadway, Suite 601, New York, NY 10006. www.io-tahoe.com
Io-Tahoe® is a registered trade mark of Centrica plc. © Io-Tahoe LLC 2018