How are the tools and skills needed for data analytics changing? Why has there been an expansion of the databases used in data analytics to the new class of NoSQL to handle the volumes, variety, and velocity of big data. What are the new roles in big data analytics and why have they come about? This presentation will answer these questions and more through a discussion of: New technologies to handle Big Data volumes – scalability The rise of NoSQL databases – graph, document, key value, columnar New technologies to handle Big Data velocity – in-memory, streaming, etc. New roles in data analytics – Data Scientists, Data Engineers

1. The First Step in Information Management
looker.com
Produced by:
MONTHLY SERIES
In partnership with:
Trends in Data Analytics: From Database to Analyst
December 7, 2017

2. Trends We’ll Explore Today
 People
− Cultural challenges
− New roles in data analytics
 Technology
− New technologies to handle Big Data volumes and velocity
− Rise of NoSQL databases
 Data
− Monetization opportunities
− Regulations and restrictions
 Process
− Data-driven organizations
− Mandatory data governance
 Key Takeaways and Q&A
pg 2© 2017 First San Francisco Partners www.firstsanfranciscopartners.com

3. Polling Questions
How do you stay current on trends and industry news?
 Search the internet
 Subscribe to technology channels and/or publications
 Dial in to webinars and/or attend conferences
 Rely on an internal department and/or colleagues
 Reactively look for information when issues or questions arise
 All the above
pg 3© 2017 First San Francisco Partners www.firstsanfranciscopartners.com

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PEOPLE

5. What’s Trending: PEOPLE
will remain the number one obstacle to successful
analytics, governance, Big Data and data monetization.
as part of culture – and specifically training in “being
data-driven” – will be a core requirement for
organizational leadership.
of the CDO (be that Digital, Data or both) and the Chief
Analytics Officer, will need to be clarified.
and a good RACI/RASCI chart will be critical
requirements as roles and functions evolve.
pg 5© 2017 First San Francisco Partners www.firstsanfranciscopartners.com
PEOPLE
CULTURE
TRAINING
ROLES/
TITLES
“PEOPLE
PLAN”

6. How to Ride the PEOPLE Trends
 Plan on revisiting your organizational charts –
maybe a few times.
 Prepare the organization for evolving roles
and new job descriptions.
 Work to improve IT/Business collaboration.
 Of course, prepare a good plan for sustaining
your Big Data program and related data
governance.
pg 6© 2017 First San Francisco Partners www.firstsanfranciscopartners.com

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TECHNOLOGY

8. What’s Trending: TECHNOLOGY
will require an open mind to leverage
innovations such as graph technology.
will continue to expand, so it needs to be explored
and evaluated as a possible architectural component
and profit-driver.
evolution as a mainstream enterprise capability will
continue to grow significantly.
and lowering latencies will require more throughput
and need for speed.
pg 8© 2017 First San Francisco Partners www.firstsanfranciscopartners.com
TECHNOLOGY
DATABASE
TECHNOLOGY
BLOCKCHAIN
PREDICTIVE
ANALYTICS’
INTERNET OF
THINGS

9. What’s Trending: TECHNOLOGY
will require further understanding of
more mainstream considerations.
management tools will evolve, and you may need to
consider switching your current approach.
will enter the vocabulary of enterprise architects.
will swing back to be more general and less
purpose-built overall.
pg 9© 2017 First San Francisco Partners www.firstsanfranciscopartners.com
TECHNOLOGY
AI/MACHINE
LEARNING
DATA LAKE
COGNITIVE
TECHNOLOGIES
LEARNING

10. How to Ride the TECHNOLOGY Trends
 Look into and experiment with graph
database technology. This will be a vital
element of metadata tools.
 Prepare for Edge Computing if you are
doing Internet of Things.
 Get smarter about Blockchain, even if
there may not be an obvious use for it in
your organization.
pg 10© 2017 First San Francisco Partners www.firstsanfranciscopartners.com

11. How to Ride the TECHNOLOGY Trends
 Track, monitor and learn about data lake
and other Big Data technology.
 Get serious about how low your latency
requirements are and be honest. You may
need to make a shift in your current
technology strategy.
 Make sure you understand what AI and
machine learning really mean – and, like
latencies, make sure you clearly define what
is needed.
pg 11© 2017 First San Francisco Partners www.firstsanfranciscopartners.com

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DATA

13. What’s Trending: DATA
will grow with demand in the market as
more organizations monetize their data.
will expand (e.g. GDPR, ePrivacy) and require a more
rigorous understanding of your data landscape.
and actionable data will become the new focus as
organizations do less with Big Data for data’s sake.
will have a tremendous impact on Big Data sources
and volumes.
pg 13© 2017 First San Francisco Partners www.firstsanfranciscopartners.com
DATA
DATA
SOURCES
REGULATIONS
SMART
INTERNET OF
THINGS
DATA

14. How to Ride the DATA Trends
 If monetizing data as a revenue source, implement
“product management” practices.
 In considering new data sources, make sure you have
clear policies and governance over external data
procurement and storage. Review all cloud storage
agreements.
 The regulatory activity will make the need for a
documented data landscape inevitable. If you don’t
know what data you have or where it lives, get
started.
 Start to think of Smart Data. Consider your overall
data strategy and use the entire data portfolio to be
smart.
pg 14© 2017 First San Francisco Partners www.firstsanfranciscopartners.com

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PROCESS

16. What’s Trending: PROCESS
and “being data-driven” will become less of an option.
is shifting to efficiency and sustainability, amid a highly
dynamic product landscape.
will require new business processes to manage data products,
data-centric internal programs and data supply chains.
is becoming even more of a requirement at leading
organizations.
pg 16© 2017 First San Francisco Partners www.firstsanfranciscopartners.com
PROCESS
DIGITAL
TRANSFORMATION
INNOVATION
DATA
MONETIZATION
DATA
GOVERNANCE

17. How to Ride the PROCESS Trends
 Define and build “being data-driven” into
planning processes such as annual planning,
budgeting, resourcing, etc.
 Be flexible with your product procurement to
leverage the dynamic market.
 Put your process-design hat on.
 Recognize the need to adapt data governance to
be more agile/targeted to support ever-changing
business and industry requirements.
pg 17© 2017 First San Francisco Partners www.firstsanfranciscopartners.com

18. Key Take Aways
 People issues are still the main challenge.
 Technology acquisition and optimization
will require diligence and flexibility.
 Internal and external-facing processes
and products will continue to evolve.
 Data sources, quantities and velocities
will all contribute to the need for
specificity of your true requirements
for speed and latency.
18
AbilitytorisetotheChallenge
PEOPLE (CULTURE)
TECHNOLOGIES
PROCESS
Severity of Challenges
DATA
© 2017 First San Francisco Partners www.firstsanfranciscopartners.com

19. Questions?
© 2017 First San Francisco Partners www.firstsanfranciscopartners.com
MONTHLY SERIES

20. Thank you for being here today!
Please join our next webinar on Thursday, January 4,
Keys to Creating an Analytics-Driven Culture.
John Ladley @jladley
john@firstsanfranciscopartners.com
Kelle O’Neal @kellezoneal
kelle@firstsanfranciscopartners.com