trends in data analytics - from database to analyst

The First Step in Information Management

looker.com

Produced by:

MONTHLY SERIES

In partnership with:

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


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.


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.



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.


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.


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.


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.



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.


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.



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.


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.


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

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]