Pool Data - Sched Data: Best Practices and ... -private -and -hybrid-cloud ... Business usage of...
Transcript of Pool Data - Sched Data: Best Practices and ... -private -and -hybrid-cloud ... Business usage of...
2/18/2018
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Pool Data: Best Practices and Practical Considerations
RYAN DRAUGHN, DIRECTOR OF INFORMATION TECHNOLOGY
NLC MUTUAL INSURANCE COMPANY
NLC Mutual Insurance Company 660 Capitol Street NW Suite 450 Washington, DC 20001
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NLC Mutual Insurance Company 660 Capitol Street NW Suite 450 Washington, DC 20001
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Do you have the “Moneyball”
Mindset at your pool?
Agenda ◦ Leveraging Data and Technology – Best Practices
◦ Changing how decisions are made
◦ Driving operational efficiencies
◦ Giving you a competitive edge
◦ Technology trends & new advances that is making it all possible
◦ How consumerization of tech is driving the industry
◦ Cloud computing and Data Warehousing
◦ Data Transformation Technology and Massively Parallel Processing (MPP)
◦ Intuitive Business Intelligence (BI) tools and software
◦ Practical Considerations
◦ Utilizing information to take action
◦ Knowledge and managing expectations
◦ Generational workforce changing – Opportunities inside your company and to your customers
◦ Security & Governance Concerns
◦ Examples and Demonstration
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https://powerbi.microsoft.com/en-us/partner-showcase/bistech-safety-risk-and-compliance/
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https://powerbi.microsoft.com/en-us/partner-showcase/bistech-safety-risk-and-compliance/
NLC Mutual Insurance Company 660 Capitol Street NW Suite 450 Washington, DC 20001
Leveraging Data and Technology – Best Practices
◦ Changing how decisions are made
◦ Making data available directly to the decision makers or consumers of data.
◦ Providing “what if?” scenarios and an iterative process instead of static reporting.
◦ Driving operational efficiencies
◦ Utilizing geocoding to graphically display information.
◦ Modern tools allow non-technical staff to utilize BI.
◦ Helps eliminate IT bottlenecks and strain.
◦ Quicker and more direct analysis. Removes need to translate what is needed.
◦ Giving you a competitive edge
◦ Insights into data you have on your insureds is extremely powerful.
◦ Pricing on actual data versus industry benchmarks.
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Technology Trends &
New advances that is making it all possible
◦How consumerization of tech is driving the industry
◦ Internet of Things (IOT), Telematics, etc.
◦Cloud computing and Data Warehousing
◦Data Aggregation and Transformation Technologies
◦“Big data”, Distributed Computing, Massively Parallel Processing (MPP)
◦ Intuitive Business Intelligence (BI) tools and software
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“ ”
Source: Gartner IT Glossary http://www.gartner.com/it-glossary/internet-of-things/
The network of physical
objects that contain
embedded technology to
communicate and interact
with their internal states or
the external environment.
Tracking Driver Movements via GPS/Blackbox
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https://www.confused.com/car-insurance/black-box/telematics-explained
Your location How long you have been
driving for How fast you accelerate How harsh or smooth your
braking is Your cornering
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Changing how decisions are made
“Carriers may no longer need to compete on price; they instead may be able to assess the risk of individual customers based on their actual behaviors”
“Additionally, commercial insurance increasingly will be able to focus on providing customized, flexible products and value-added services that involve working with the clients to proactively avoid or reduce losses and manage risks.”
– PriceWaterhouseCoopers
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Law enforcement agencies are investing in IoT technologies that act as force multipliers
Drones Gunshot Detection
Camera Systems
License Plate Readers
Smart Weapons /
Holsters
IoT in Public Safety
IOT Considerations for Pools
• Data Storage – Massive amounts of information collected – How are you equipped to store?
• Data Security – Information coming from non-traditional means – Who will have access? How will you protect any sensitive information?
• Data Protection – Essential information may now become part of business operations – How will you ensure it is categorized and prioritized in your Disaster Recovery plans.
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The Cloud plays a big role • Provide massive economies of scale to drive down data storage costs. • Many have developed PRIVATE cloud offerings that:
• Enable data to not be co-mingled with other organizations. • Meets individual customer demands for retrieval practices. • Adheres to specialized compliance or regulatory demands (PII,HIPAA,PCI) • Ensure storage inside of continental US.
• Allow for specialized service providers to develop software platforms built on their data storage foundation.
Public Clouds
A public cloud is one in which the services and infrastructure are provided off-site over the Internet. These clouds offer the greatest level of efficiency in shared resources; however, they are also more vulnerable than private clouds.
Ex. Gmail, Dropbox, SaaS Applications
Source: http://www.dummies.com/programming/networking/comparing-public-private-and-hybrid-cloud-computing-options/
Private Clouds
A private cloud is one in which the services and infrastructure are maintained on a private network. These clouds offer the greatest level of security and control, but they require the company to still purchase and maintain all the software and infrastructure, which reduces the cost savings.
Good when data privacy and security are crucial.
Source: http://www.dummies.com/programming/networking/comparing-public-private-and-hybrid-cloud-computing-options/
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Hybrid Clouds
A hybrid cloud includes a variety of public and private options with multiple providers. By spreading things out over a hybrid cloud, you keep each aspect at your business in the most efficient environment possible. The downside is that you have to keep track of multiple different security platforms and ensure that all aspects of your business can communicate with each other.
Your company wants to use a SaaS application but is concerned about security. Your SaaS vendor can create a private cloud just for your company inside their firewall.
Source: http://www.dummies.com/programming/networking/comparing-public-private-and-hybrid-cloud-computing-options/
Landscape in 2018: Business usage of SaaS, Hosted and Cloud Solutions is commonplace
• Google Docs
• Office365
• Azure/Onedrive
• Amazon Web Services
Major Vendors will continue to push customers to their SaaS offerings
Claims and Policy Management Application Vendors are no exception
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Intersection of Big Data and “Cloud” As datasets grow, they need to be managed and stored somewhere. Your data should be:
◦ Economical
◦ Meet Compliancy Regulations
◦ Prevent Unauthorized Access
◦ Accessible for Fast Retrieval/Backup
◦ Optimized for Analytics
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The evolution of cloud data storage and online big data tools now provide a mechanism to
capitalize on our valued data.
Beyond the Cloud Many industry experts are predicting machine learning, serverless
environments, and a focus on data will be the “future” of cloud computing over the next several years.
Eric Schmidt, CEO of Google states, “the amount of innovation we will see in the next five years will exceed all the innovation we’ve seen in all prior years. Schmidt went on to make a few more predictions:
The platform is not the end, it is the bottom. Machine learning is on top and will be the technology that will drive the transformation.
NoOps will become mainstream. Serverless architectures will be the next wave of computing.
http://www.forbes.com/sites/mikekavis/2016/03/25/google-provides-a-glimpse-into-the-future-of-cloud-computing/#5b2753f5529f
Practical Considerations
◦Utilizing information to take action
◦Knowledge and managing expectations
◦Generational workforce changing – Opportunities inside your company and to your customers
◦Data Security & Privacy Concerns
◦Regulations and Model Laws
◦Having a True Data Governance Model
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Data Analytics & Reporting Spectrum
Drive EFFICIENCIES to better serve your members
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Marketing to Members
Pricing
New Products/Coverages
Claims Management
Why it Matters
Claim Notes
Interactions
Internet of Things
Social Media
Machine Learning
Geographical Analysis
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Potential Benefits & Uses of Data
Pools need it to be successful and relevant to
their members
Need it to continue to be successful and relevant to
your customers
Allows for ability to make better decisions – Board
and Staff
The industry is moving (or has moved) in this
direction – we need to keep up!
Technology is evolving (constantly and quickly)
• We can’t even begin to imagine the possibilities of what might be available to us in even 3-5
years.
New and Innovative way to spot trends and apply
strategic measures
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Practical Governance Models for Success
Executive Sponsors (President & Executives) • Accountability in driving business results • Help Identify Initiatives and Sharing Insights
Data Providers/Facilitators (Staff members/IT) • Establishing the upload mechanism of data • Awareness and understanding how the data is organized
Major Domo (Department Entusiasts/Power Users/Evangelists) • Primary key to fully leveraging BI Tools. They serve as trusted resource in
analytical development, data aggregations, and communicating to boards or other groups as needed.
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Examples and Case Studies
◦ Overview of NLC Mutual Data Initiative ◦ Insights and Lessons Learned ◦ Changing the Conversation by visualizing your data ◦ Collaboration and Partnerships ◦ Driving ACTION not just supplying charts/reports ◦ Current and Immediate Future
◦Artificial Intelligence ◦Deep Learning ◦Predictive Modeling
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VLCT Loss Cause Word Cloud – Prioritized by Claim Count
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669
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VLCT Loss Cause Word Cloud – Prioritized by Loss Amount
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$8,334,885
$1,781,747
$4,451,102
How it Works
MS SQL Server
Documents
Sovereign State A
Oracle DB Documents
Sovereign State B
Documents
Sovereign State C
Mainframe
Backup
Sovereign State A Sovereign State B Sovereign State C
Aggregated Dataset
NLC-Mutual Data Warehouse
Backup
Copy Backup
Backup
Copy Full
Backup
Migrated Data
Migrated Data
Migrated Data
NLC-Mutual Team Access
Pool Staff: Ability to Analyze/Visualize
own data
Reports/Analytics
View Aggregated Data Reports/Analytics
ETL Process: Data is Extracted, Transformed and Loaded per
particular Analytical Need
NORMALIZED DATA
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Normalizing Data to a Common Schema
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Demonstration
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