It is a fascinating, explosive time for enterprise analytics. It is from the position of analytics leadership that the mission will be executed and company leadership will emerge. The data professional is absolutely sitting on the performance of the company in this information economy and has an obligation to demonstrate the possibilities and originate the architecture, data, and projects that will deliver analytics. After all, no matter what business you’re in, you’re in the business of analytics. The coming years will be full of big changes in enterprise Data Architecture. William will kick off the Advanced Analytics 2020 series with a discussion of the trends winning organizations should build into their plans, expectations, vision, and awareness now. He’ll be going into 2020 and beyond, since the winners will have an eye on the long view for the source of competitive advantage that is data and analytics.

1. Trends in Enterprise
Advanced Analytics
Presented by: William McKnight
President, McKnight Consulting Group
williammcknight
www.mcknightcg.com
(214) 514-1444
#AdvAnalytics

2. William McKnight
President, McKnight Consulting Group
• Frequent keynote speaker and trainer internationally
• Consulted to Pfizer, Scotiabank, Fidelity, TD Ameritrade, Teva
Pharmaceuticals, Verizon, and many other Global 1000
companies
• Hundreds of articles, blogs and white papers in publication
• Focused on delivering business value and solving business
problems utilizing proven, streamlined approaches to
information management
• Former Database Engineer, Fortune 50 Information Technology
executive and Ernst&Young Entrepreneur of Year Finalist
• Owner/consultant: 2018 and 2017 Inc. 5000 strategy &
implementation consulting firm
• 30 years of information management and DBMS experience
2

3. A Foundation for Change

4. 1 in 2
customers integrate
insights/experiences
beyond Looker
2000+
Customers
5000+
Developers
1000+
Employees
Santa Cruz
San Francisco New YorkChicago
Boulder Tokyo
Dublin London
Empower
people with
the smarter
use of data

5. 1
https://emtemp.gcom.cloud/ngw/globalassets/en/information-technology/documents/trends/gartner-2019-cio-agenda-key-takeaways.pdf
Digital-fueled Growth is the Top
Investment Priority For Technology Leaders.1
Rebalance your technology portfolio toward digital transformation
Percent of respondents
increasing investment
Percent of respondents
decreasing investment
Cyber/information security 40%1%
Cloud services or solutions (Saas, Paa5, etc.) 33%2%
Core system improvements/transformation 31%10%
How to implement product-centric delivery by percentage of respondents
DigitalTransformation
Business Intelligence or data analytics solution 45%1%

6. 1
https://www.forrester.com/report/InsightsDriven+Businesses+Set+The+Pace+For+Global+Growth/-/E-RES130848
Insights-driven businesses harness
and implement digital insights
strategically and at scale to drive growth
and create differentiating experiences,
products, and services.1
7x Faster growth than global GDP
30% Growth or more using advanced analytics in a transformational way
2.3x More likely to succeed during disruption

7. Looker Data Platform
Governed metrics | Best-in-class APIs | In-database | Git version-control | Security | Cloud
Fully custom application
to 1M merchants for
granular drillable
analytics at scale
Productize self-serve
analytics at scale
Best-in-class in-app
analytics to compete
upmarket and achieve
net new growth
Monetize your data
to drive new growth
Build better data products
Data Lake
Smarter customer
acquisition with dynamic
AI-powered bid engine
Fully automate
optimization in real-time
Clean data for legacy
tools, ML/AI workflows
with governed
IT Services layer
Augment legacy tech
as you modernize
Infuse workflows with data
Fortune 50
Telecom
Modernize business intelligence
360-degree
understanding of
customers across all
channels: web, apps,
print, and more
Deliver best-in-class
Business Intelligence
Reduce churn with
automated alerts and
email follow ups for
success managers based
on customer health
Tailor data experiences
for any department

8. Technology Layers
Built on the cloud
strategy of your choice
In-database architecture
Semantic modeling layer
‘API-first’ extensibility

9. ©Looker2019.Confidential
Optimize
Performance
Database &
Transformation
Centralize Business Metrics with
Pre-Modeled or Custom Data Models
Governance
& Modeling
Explore &
Present
Looker Platform Architecture
Security /
Privacy/
Encryption
Modern Self-
service BI
Unlimited Data
Experiences
Validate & Track Changes to
Data Model
Analyze Usage &
User Behavior
Leverage powerful database
features
Support for 50+ Unique SQL Dialects
Flexible In-Database
Transformation
Write
Custom SQL
Optimize Query Performance
Secure Access to Your Data and Analytics
Data
Monetization
Near
Real-time
Alerts at Scale
Automated
Data
Delivery
Workflow
Integrations
Custom
Data Products
Manage
Content
Schedule
Reports
Ad-Hoc Analysis VisualizationDashboards
...
APIforData
SDKs,DeveloperCommunity,UIComponents

10. ©Looker2019.Confidential
Modern Self-
service BI
Data
Monetization
Near
Real-time
Alerts at Scale
Automated
Data
Delivery
Workflow
Integrations
Custom
Data Products
APIforData
SDKs,DeveloperCommunity,UIComponents
Optimize
Performance
Centralize Business Metrics with
Pre-Modeled or Custom Data Models
Governance
& Modeling
Explore &
Present
Looker Platform Architecture
Security /
Privacy/
Encryption
Unlimited Data
Experiences
Validate & Track Changes to
Data Model
Analyze Usage &
User Behavior
Leverage powerful database
features
Write
custom SQL
Optimize Query Performance
Secure Access to Your Data and Analytics
Content
Management
Scheduled
Reports
Ad-Hoc Analysis VisualizationDashboards
...
Database &
Transformation
Support for 50+ Unique SQL Dialects
Flexible In-Database
Transformation
✓ Maximize value of tech investments by augmenting your existing stack
✓ Increase agility and minimize security and regulatory risk by delivering
trusted insights without ingesting data into 3rd party tools
✓ Upgrade underlying technologies as needs change by separating
business logic from data engineering
This lets you:

11. ©Looker2019.Confidential
Modern Self-
service BI
Data
Monetization
Near
Real-time
Alerts at Scale
Automated
Data
Delivery
Workflow
Integrations
Custom
Data Products
Optimize
Performance
Database &
Transformation
Centralize Business Metrics with
Pre-Modeled or Custom Data Models
Governance
& Modeling
Explore &
Present
Looker Platform Architecture
Security /
Privacy/
Encryption
Unlimited Data
Experiences
Validate & Track Changes to
Data Model
Analyze Usage &
User Behavior
Leverage powerful database
features
Support for 50+ Unique SQL Dialects
Flexible In-Database
Transformation
Write
custom SQL
Optimize Query Performance
Secure Access to Your Data and Analytics
Content
Management
Scheduled
Reports
Ad-Hoc Analysis VisualizationDashboards
...
APIforData
SDKs,DeveloperCommunity,UIComponents
✓ Monetize data with valuable products for your customers
✓ Supply governed data at scale across IT services teams, data
applications and operational workflows
✓ Streamline and automate workflows across departments and
externally
This lets you:

12. ©Looker2019.Confidential
Optimize
Performance
Database &
Transformation
Centralize Business Metrics with
Pre-Modeled or Custom Data Models
Governance
& Modeling
Explore &
Present
Looker Platform Architecture
Security /
Privacy/
Encryption
Unlimited Data
Experiences
Validate & Track Changes to
Data Model
Analyze Usage &
User Behavior
Leverage powerful database
features
Support for 50+ Unique SQL Dialects
Flexible In-Database
Transformation
Write
Custom SQL
Optimize Query Performance
Secure Access to Your Data and Analytics
Manage
Content
Schedule
Reports
Ad-Hoc Analysis VisualizationDashboards
...
APIforData
SDKs,DeveloperCommunity,UIComponents
Modern Self-
service BI
Data
Monetization
Near
Real-time
Alerts at Scale
Automated
Data
Delivery
Workflow
Integrations
Custom
Data Products

13. ©Looker2019.ConfidentialEmbeddedAnalytics

14. Resources: https://info.looker.com/
Blog: https://looker.com/blog
Upcoming Events: https://looker.com/events
Request a personal demo: https://looker.com/demo
Email us: hello@looker.com
Thank You!

15. Trends in Enterprise
Advanced Analytics
Presented by: William McKnight
President, McKnight Consulting Group
williammcknight
www.mcknightcg.com
(214) 514-1444
#AdvAnalytics

16. McKnight Consulting Group Offerings
Strategy
Training
Strategy
 Trusted Advisor
 Action Plans
 Roadmaps
 Tool Selections
 Program Management
Training
 Classes
 Workshops
Implementation
 Data/Data Warehousing/Business
Intelligence/Analytics
 Master Data Management
 Governance/Quality
 Big Data
Implementation
3

17. Why Are Trends Important?

18. “Beyond the Mountain is
another mountain.”

19. We Are in the Business of Data
 Our information is exploding
 Our business is real-time, all the time
 Our information differentiates us from our
competitors
 Our information quality impacts our clients, our
Associates, and our shareholders
 Our information is used and reused; information
usage drives data value
 Information is a key business asset

20. Data Maturity is Highly Correlated to Business
Success
Data
Maturity
Business
Success
7

21. Maturity Modeling
• Should give a sense of priority
• You Can’t Skip Levels – in any category
• Maturity Levels tend to move in harmony
• Midsize and smaller companies can +1
• All must be at Level 3 (some need to be at 4) this year
• Momentum is paramount!

22. Raise the Foundation of Your
Company
Raise the Foundation of Your
Company

23. The Money Tree Doesn’t Exist
Hitch your Architecture and Maturity Efforts to an
Application Budget
10

24. Data Professional Success Measurement
User Satisfaction
Business ROI and
growth instigated
Data Maturity
(Long-term User Sat
and Bus ROI)
Misc.

25. Last Year’s Trends
• Sensible Divisions of Analytic Platforms
• Cloud Storage overtakes HDFS
• Multi-Cloud Becomes the Norm
• 2019: The Year of Master Data Management
• Data Virtualization Provides the Enterprise Data Fabric
• 2019: The Year of the Graph
• Stream Processing Begins to supplant ETL
• Data’s New Highest Use Will Be Training AI Algorithms
• Data Visualization Footprint Escalates
• Self-Service Takes Off
• Chief Data Officer Goes Mainstream
• Organizations Acknowledge Chief Information Architect/Chief Analytics Officer
• Data Science Pioneers Lock in
• Acknowledgement of the need for data deployments to be near the business unit in organization
charts
• Reduction in the challenges posed by internal grist and resistance to change
• Analytics Skills Go Into the Operational Environment
• Operational Big Data Platform Selection to see more SQL, less NoSQL
• A New Dataset: Bio Data
12

26. Top Trends in Enterprise Analytics for
2020 and Beyond

27. Data Takes Steps to the Balance Sheet
• The six biggest companies by market
capitalization are Apple, Amazon, Alphabet,
Google, Microsoft and Facebook
• Rules
– Internally-Created Asset
– A corresponding cost for acquiring or building this
asset
– Depreciation Cycle
– Utilized in a similar manner across companies

28. Explosion in Sensor-Based Time-Series Data
• 5G and IoT Driving AI
• Sensor-based Data Sources Expand
• Time Series Data Explosion
– Data for each point in time
– The data collectively represents how a
system/process/behavior changes over time
– Scale and usability of time series data

29. • Natural Language Inputs
• AI Voice Assistants
• Google-Like
• Chatboxes
• Future: Brain-Computer Interfaces
Business Intelligence Interfaces
Upheavel

30. • Automated Data Discovery
• Auto-generated pipelines based on global
experiences
• Joins by data
ETL will be Nearly Automated

31. Leveraging Cloud Object Storage for Data Lakes
• More Achievable separate compute and storage architecture
• Compute resources (Map/Reduce, Hive, Spark, etc.) can be taken
down, scaled up or out, or interchanged without data movement
• Storage can be centralized, but compute can be distributed
• Major players have mechanism to ensure consistency to achieve
ACID-like compliance for remote data changes
• Some vendors also have remote data replication to ensure
redundancy and recovery
• Most of the query execution is processing time, and not data
transport, so if cloud compute and storage are in the same cloud
vendor region, performance is hardly impacted
18

32. • Embedded Databases at the edge
• AI baked into the chips
• New applications and use cases
More Edge AI

33. AI is disruptive
Data is the Foundation
Data’s New Highest Use Will Be Training AI
Algorithms

34. • Will help reduce bias in the algorithms
• Data-first application development
• Reduction in Lazy AI
• Transparency part of compliance
regulations
Explainable AI

35. • Data analytics stack goes Kubernetes for
both open source and commercial
• Winners go from thought to POC quickly
• Serverlessness
Kubernetes and Containers

36. Hybrid Databases
• Hybrid transaction/analytical processing (HTAP),
translytical, or hybrid operational analytic
processing (HOAP)
• Combination row-based for transactions and
column-based for analytics
• Can process both orders and machine learning
models simultaneously with fast performance
and reduced complexity
23

37.  There’s more maturity
in moving imperfectly
than in merely
perfectly defining the
shortcomings
 Build credibility
 Don’t be afraid to fail
 Don’t talk yourself out
of having a new
beginning
Have an open mind
No plateaus are
comfortable for long
That resistance is not
about making
progress, it’s the
journey

38. Second Thursday of Every
Month, at 2:00 ET
Presented by: William McKnight
President, McKnight Consulting Group
www.mcknightcg.com (214) 514-1444
#AdvAnalytics