the future of benefits technology: architecting the cloud

1 © 2015 Benefi+ocus.com, Inc. All Rights Reserved

The Future of Benefi+ocus Technology: ArchitecCng the Cloud

Don Taylor, CTO | @dontaylorsc

© 2015 Benefi+ocus.com, Inc. All Rights Reserved 2

1.  Architecture Discussion with Fred Robinson, Chief Architect

2.  History of Storage, Databases, File Systems and Networks

3.  Benefi+ocus Data Cloud

4.  Benefi+ocus AnalyCcs, Profile & PersonalizaCon


FRED ROBINSON Chief Architect


HISTORY OF STORAGE, DATABASES, FILE SYSTEMS & NETWORKS


1950–60 1970 1980 1990 2000 2010

Storage

First 5MB HD Floppy Disk 2.52 GB HD Zip Drive & DVD First TB HD Helium filled 10TB HD

Databases CODASYL & IMS

RelaConal Databases

Object Oriented Databases

Client/Server Pla+orms

XML & NoSQL Databases New SQL Databases

File Systems

BASIC CP/M & QDOS

(FAT) MS-‐DOS & OS/2 NTFS & DFS GFS & HDFS Amazon S3

Networking

SABRE Online 2 Mainframes CBBS Usenet

Netscape InformaCon Highway

Facebook & Social Media

3.5 Billion Searches Per Day


Big Data •  Unwieldy data -‐ Peta-‐Bytes (250 bytes; 1024 terabytes, or 1 million gigabytes) •  Structured & unstructured data •  Exceeds convenConal methods for: -  Storing -  Processing -  Backing up -  ImporCng & ExporCng -  SupporCng heterogeneous data

•  Requires new technical & scienCfic skills


2013 2014

90% of data today was created in the last 2 years


Structured Data

Census Spreadsheet

Payroll or HRIS database tables

Claims data warehouse

Unstructured Data


Structured data alone leads to an incomplete picture…


Structured data with all other data leads to a complete picture…


Data Cloud Pulling it all together

•  Structured & Unstructured •  Easy ReplicaCon •  Simple API •  Huge Amounts of Data

New SQL

API

RelaConal

Map Reduce

No SQL

Distributed File System


BENEFITFOCUS DATA CLOUD Leveraging the Data Cloud


Data Science BenefiXocus

Storage

PredicCve Model

Processing

VisualizaCon

The Benefi+ocus Pla+orm


HDFS

Storage

Dev/ Consumer/ ElecCon

QA/ Consumer/ Personal

Dev/ Consumer/ Personal

QA/ Consumer/ ElecCon

Client User

AcCve MQ Consumer Shopping

Channel Sink

Channel Sink

Channel Sink

Channel Sink

Source

Source

Agent/Dev/Consumer

Agent/QA/Consumer

Flume Backup Server (Clone of Above) Flume Failover Process

JMS

APACHE FLUME SERVER

Tx History

Personal

Survey

OfferStart

Eligibility

Recommend

Guided Shop Q&A

Plan Compare

ElecCons


Map Reduce

Machine Learning

PMML Co

mpliant Engine

API

VisualizaCon

Databases

Decision Support

Formula

Spreadsheet

LogisCc Regression Neural Networks Naive Bayes

PredicZve Model


Input: Unstructured Data

PPO:1

PPO:1

PPO:1

PPO:1

PPO:1

PPO:1

PPO:1

PPO:1

PPO:1

PPO:1

PPO:10

HDHP:1

HDHP:1

HDHP:1

HDHP:1

HDHP:1

HDHP:1

HDHP:1 HDHP:7

PPO HDHP

PPO

PPO

PPO PPO

PPO

PPO HDHP

HDHP HDHP HDHP

HDHP HDHP PPO

PPO PPO HMO

HMO HMO

MAP

MAP

REDUCE

REDUCE

Output Data Sort & Count

Processing

VisualizaZon


Data Access Layer

Services Router Enterprise Services

eEnrollment eSales eBilling eExchange Marketplace CommunicaCon Portal

AP

Business Logic Methods

Developers Brokers 3rd Party Members Consumers Admins

Portals

NaZve Device Apps Mobile

(phones, tablets, watches)

Content Managem

ent

Meta Data Arch

Branding

JS Dust

HTML5 CSS

Android iOS

Responsive

Batch In

Batch Out Java

Camel Drools

Mock Services

Java

Content, Workflow, Branding and Rules

Business, MDD, Meta and UI

OLAP Document RelaConal File System

High Availability

JSON

Consumers

Real Time In

Real Time Out

The BenefiXocus PlaXorm


BENEFITFOCUS ANALYTICS, PROFILE & PERSONALIZATION


Core AnalyZcs Health Plan Budget vs. Actual Spend Enrollment Counts Cost by Benefit Type Per Employee Cost Trend Per Employee Cost vs. Benchmark Drug Cost by Category In-‐Network UClizaCon Percentage Claimant Cost DistribuCon Top 5 Episode Categories PrevenCve Screening ParCcipaCon Aggregate Biometric Results Chronic CondiCon Care Compliance



Advanced AnalyZcs

Financial & Benchmark Analysis Detailed Analysis

Clinical & Risk Management Trend Analysis

PrescripCon Analysis Eligibility Analysis

Member Based Analysis Flexible Query Tool



Advanced AnalyZcs





BenefiXocus Profile

Demographic informaCon management

PersonalizaCon Preferences Privacy preferences, disclosures

and consent Consumer-‐provided data SubscripCon sepngs Personal data sources



Advanced AnalyZcs





BenefiXocus Profile

Demographic informaCon management

PersonalizaCon Preferences Privacy preferences, disclosures

and consent Consumer-‐provided data SubscripCon sepngs Personal data sources

Personalized User Experience

Personalized eligibility content

Scenario-‐based modeling RecommendaCon engines PredicCve health analyCcs

Financial wellbeing personalized goals

Personalized coordinaCon of partner ecosystem data

and interacCons


The Next 5 Octobers

Hadoop, Eligibility, Claims,

Core & Advanced AnalyCcs

Social Media, Web Trends, Benefi+ocus

Profile

Bio Metrics, Log Data,

Benefi+ocus PredicCve Modeling Language

Benefi+ocus VisualizaCon

Toolkit, Benefi+ocus Data

Cloud API

Advanced PersonalizaCon, RecommendaCon

Engine

2015 2016 2017 2018 2019

200 TB 400 TB 750 TB 2 PB 4 PB

the future of benefits technology: architecting the cloud

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