trends in data analytics - from database to analyst
TRANSCRIPT
The First Step in Information Management
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Trends in Data Analytics: From Database to AnalystDecember 7, 2017
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
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
www.firstsanfranciscopartners.com
PEOPLE
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”
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
www.firstsanfranciscopartners.com
TECHNOLOGY
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
TECHNOLOGYDATABASE
TECHNOLOGY
BLOCKCHAIN
PREDICTIVEANALYTICS’
INTERNET OFTHINGS
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
TECHNOLOGYAI/MACHINE
LEARNING
DATA LAKE
COGNITIVE
TECHNOLOGIES
LEARNING
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
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
www.firstsanfranciscopartners.com
DATA
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 morerigorous 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
DATADATA
SOURCES
REGULATIONS
SMART
INTERNET OFTHINGS
DATA
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
www.firstsanfranciscopartners.com
PROCESS
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
DIGITALTRANSFORMATION
INNOVATION
DATAMONETIZATION
DATAGOVERNANCE
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
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
Abili
ty to
rise
to th
e Ch
alle
nge
PEOPLE (CULTURE)
TECHNOLOGIES
PROCESS
Severity of Challenges
DATA
© 2017 First San Francisco Partners www.firstsanfranciscopartners.com
Questions?
© 2017 First San Francisco Partners www.firstsanfranciscopartners.com
MONTHLY SERIES
Thank you for being here today!Please join our next webinar on Thursday, January 4,
Keys to Creating an Analytics-Driven Culture.
John Ladley @[email protected]
Kelle O’Neal @[email protected]