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Copyright © 2016, Saama Technologies
Journey to Analytics in the CloudOctober 5, 2016
2Copyright © 2016, Saama Technologies | Confidential 2Copyright © 2016, Saama Technologies 2Copyright © 2016, Saama Technologies
SpeakersAlan Byers, MotoristsAs AVP of Data Analytics, Alan Byers is responsible for strategic Enterprise Data Management combined with tactical development of data solutions that support Analytics and systems integration. Alan is focused on reducing the company’s time-to-information from being measured in days, weeks, or even months down to seconds by using an Agile BI approach that provides quick delivery of data services and self-service analytics. He believes that effective use of data assets by combining wisdom and advanced analytics methodologies is a key driver for success in the insurance industry during the digital [email protected]
Skip Shaw, SaamaAs Regional Director of Saama's eastern region, Skip Shaw is responsible for the sales and delivery of Big Data solutions to Fortune 500 companies. Prior to joining Saama in 2016, Shaw was a Director of Sales at Oracle where he was responsible for driving strategy for core technology solutions. Before that, he spent 15 years at Microsoft in various sales roles where he helped customers develop solutions focused on business intelligence, advanced analytics, and data management. [email protected] @saamatechinc
3Copyright © 2016, Saama Technologies | Confidential 3Copyright © 2016, Saama Technologies 3Copyright © 2016, Saama Technologies
Believe the Hype…
4Copyright © 2016, Saama Technologies | Confidential 4Copyright © 2016, Saama Technologies 4Copyright © 2016, Saama Technologies
The “Right Now” Disruption
Weather Patterns
Connected World
Safer Driving Ecosystem
Safety FirstEco Friendly, Shared EconomyAutonomous Vehicles
Wearables, More Informed, More
Connected
Smart / Connected Homes
5Copyright © 2016, Saama Technologies | Confidential 5Copyright © 2016, Saama Technologies 5Copyright © 2016, Saama Technologies
The “Right Now” Disruption
• Peer-to-Peer• Emerging Business ModelsChannel Disruption
• Digital customer experience• Connected auto, home and self• The Internet Of “Me”
Digitization
• Traditional models disrupted• Innovation by partnering with
“technology” companies; VC fundingChange in Eco
System
• Predictive and automated• Customer 360 viewsEmbracing Big Data
6Copyright © 2016, Saama Technologies | Confidential 6Copyright © 2016, Saama Technologies
How do we Use all this Data in the Disruptive Era?
Leading companies are moving towards consolidated data management Introduction of an enterprise data hub built on open-source Apache Hadoop provides a cost-effective way for insurers to aggregate and store ALL their data, in any format, in a highly secure environment Users can access rich data sources, blend and analyze data from any source, in any amount, detect patterns, model risk and gain valuable real-time insights that deliver resultsCloud makes deployment easier, infrastructure more scalable, and enables self-service analytics
7Copyright © 2016, Saama Technologies | Confidential 7Copyright © 2016, Saama Technologies
It’s a Cloud Era
Deployment in the cloud report saving 20% to 60% over on-premises infrastructure costUp to 85% of new data is unstructured; competitive advantage mandates use of real-time advanced analyticsScalability and Elasticity – Accelerate the analysis by scaling nodes rapidly to run workloads in minutes rather than hours or days on a few nodesSelf-Service Analytics Platform – Provision flexi advanced analytics tools designed for a varied skill levels Simplified deployment – Minimize costs by provisioning resources on demand in minutes
https://ncmedia.azureedge.net/ncmedia/2016/05/The_Forrester_Wave__Big_D.pdf
7
8Copyright © 2016, Saama Technologies | Confidential 8Copyright © 2016, Saama Technologies
Inefficiencies in Commodity Infrastructure
8TIME
IT C
APAC
ITY
Actual Load
Allocated IT-
capacities
“Waste“ of capacities
“Under-supply“ of capacities
Fixed cost of IT-capacities
Load Forecast
Barrier forinnovations
Source: Microsoft Cloud Continuum Presentation
9Copyright © 2016, Saama Technologies | Confidential 9Copyright © 2016, Saama Technologies
Source: Forrester Wave™: Big Data Hadoop Cloud, Q1 2016
10Copyright © 2016, Saama Technologies | Confidential 10Copyright © 2016, Saama Technologies 10Copyright © 2016, Saama Technologies
Hybrid Compatibility
HDInsight in AzureHadoop On Premises
Name= Sarah Pnid=123456
123456 4712
11Copyright © 2016, Saama Technologies | Confidential 11Copyright © 2016, Saama Technologies
The Situation
In early 2014, Motorists Insurance Group with under $1b in Net Written Premiums and operation in 20+ states had a few business challenges:
– Aging systems run by an aging workforce– Reduced customer loyalty + pricing pressures– Many operational data sources: DB2, VSAM, IMS, SQL, documents, and others– Needed to analyze new types of data: clickstream, social media, and telematics– No single version of truth: KPIs were inconsistent, information for decision-making was unreliable– Integration of data from new affiliate companies with their own systems and structures– Needed real-time analysis, that required processing of massive amounts of data faster – Need of scalable, integrated, secure data in a cost effective way
Motorists wanted to embark on a transformation program to consolidate and modernize its existing IT systems, which support core Insurance processes – Policy Admin, Claims, and
Billing but was faced with some questions/decisions about its data ecosystem
12Copyright © 2016, Saama Technologies | Confidential 12Copyright © 2016, Saama Technologies 12Copyright © 2016, Saama Technologies | Confidential
Data Warehouse Ecosystem Features
New Affiliate Data
3rd Party Data
Social Media, UBI,
Clickstream, ...
Guidewire
Analytics Engines
Data Warehouse
Data Lake
Agg
rega
tion, Q
uerie
s, S
ervi
ces,
Bus
ines
s Lo
gic
Dashboards
Scorecards
API Integration
Embedded Analytics
Data Feeds
Ad-hoc Analysis
PrescriptiveModels
PredictiveModels
Report Subscriptions Self-service
Discovery, Self-service
Dat
a R
efin
ery -
Dat
a M
anag
emen
t and
Gov
erna
nce
• Fast data ingest• Agile data refinery• Data discovery• Searchable
information catalog• Rapid solution
delivery• Multi-stage data
governance• Workload-optimized
architecture• Distributed
architecture• Data as a Service
13Copyright © 2016, Saama Technologies | Confidential 13Copyright © 2016, Saama Technologies 13Copyright © 2016, Saama Technologies
Which Road to Take?
On-premise
IaaS or PaaS
14Copyright © 2016, Saama Technologies | Confidential 14Copyright © 2016, Saama Technologies 14Copyright © 2016, Saama Technologies
Radical Shifts in Cloud Strategy
On-Prem• Comfortable• Cloud-leary
culture• Simpler
security• Appears less
expensive
IaaS• On-prem
hardware config not aligned with IT principles
• Better elasticity
• Leverage existing relationships
On-prem• Still comfy• Simpler
security management
• PaaS looks expensive
PaaS POC• Elastic• Price
differential smaller
• DR delivered
• Reduced corporate datacenter dependency
15Copyright © 2016, Saama Technologies | Confidential 15Copyright © 2016, Saama Technologies
Outstanding Questions
– Bandwidth and connectivity requirements to be determined– Analytics leading the charge to the cloud with internal data; will need
to refine cloud data management principles and practices– Audit and security teams need "warm and fuzzy" feeling– Validate that we can maintain portability of solutions - different
providers or in-house– Refine understanding of cost forecasts based on real-world
implementation through POC– Identify needed changes in development practices and team skill sets
16Copyright © 2016, Saama Technologies | Confidential 16Copyright © 2016, Saama Technologies
Lessons Learned
– Partner with trusted external resources to help guide you– Begin evaluating "production" platform options very early– Collect and document real-world business use cases early to help
refine infrastructure needs– Partner with the right people inside the organization as you begin
evaluating options– Know the company's current cloud appetite and understand the
changing tides
17Copyright © 2016, Saama Technologies | Confidential 17Copyright © 2016, Saama Technologies
Key Takeaways
Companies that unlock the value within their data will establish a competitive advantageLeveraging the Cloud can provide operational efficiencies but not without proper due diligenceCreating the right team is critical to success
– Business– IT– External Partners
18Copyright © 2016, Saama Technologies | Confidential 18Copyright © 2016, Saama Technologies 18Copyright © 2016, Saama Technologies
The Existing Analytics Model is Overwhelmed
Today
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
40,000
20,000
30,000IOT
Users Devices
Unstructured
TransactionalDigital
Industrialization
Big Data
Social
50xGrowth in datafrom 2010 to 2020Source: IDC
Machine to Machine
TOO SLOWTime to create a customanalytic solution
shorter
longer
NOT ENOUGH SPECIFICITY
19Copyright © 2016, Saama Technologies | Confidential 19Copyright © 2016, Saama Technologies 19Copyright © 2016, Saama Technologies
About Saama
5000+Engagements
900+Employees
50+Global 250
3000+Algorithms
1Purpose
Accelerating Business Outcomes using Data Driven Insights