Describes Sapiens Data Science unique data strategy and use of the Snowflake data warehouse

1. Snowflake Office Hours
Architecting for success and scale
Larry Heminger, CTO
February 2019
© Copyright 2018-2019 Sapiens Data Science, Inc.
Wellbeing and Longevity Extended™

2. 2© Copyright 2019 Sapiens Data Science, Inc.
We are in the business of adding celebrations to our lives.
Welcome to
Wellbeing and Longevity Extended TM
We improve individual health
and create shared financial
value for individuals, families
and businesses.

3. Sapiens platform: The Big “JOIN” = The Big Challenge
Genomics Test Results
Polygenic and monogenic risk
Third Party Apps
Diet, activity, mental health,
habits, goals, device data
Unified View
Continuous Data
360 Sync
Ingestion
Survey Results
Health Risk Assessments,
PROMs (self-reported surveys)
EHR Medical Data
Consented, clinical vitals,
Rx, Lab Results
Business
Analytics
Unified 360 View
Signals
Health
outlook
+ Results to
share with
your doctor
Knowledge
Context to
Take Action
Next Step
Services
© Copyright 2019 Sapiens Data Science, Inc.
Business Services
Continuous
Glucose Monitor
Weight
and BMI
Blood Pressure
Food
Recognition
Fitness
Connected Devices
Biosensors, Wearables,
Smartphones
• Individual permissions
capture of third-party health
device and app data, EHR
records, and screening tests.
• Individual provisions device
and service connections.
• Individuals control who sees
what with secure data
sharing
• Data portability
• Incentives to
contribute data
Sapiens
Data Science
Platform
WEL™ score
Reference
World's largest, global
burden of disease
research, nutritional and
public databases, and
genomic datasets.Activity, Stress,
Mood, Sleep, HRV
* Branded mobile UiX
available for Customers
requiring user interface.
Participant data acquisition
enabled by agnostic device
(Apple Health, App garden,
Device Selections, CGM).
WEL ™ Solutions

4. 4
Use Case, Challenge Snowflake Solution
HIPAA and HITRUST CSF data security & privacy compliance
Enterprise for Sensitive Data Edition; AWS Private Link; SSO with Active
Directory integration
Low initial cost
Pay as you go subscription model; free trial/POC; charged for actual
compute usage, not volume of data stored vs other solutions
Minimal infrastructure and staff needed
DWaaS means no infrastructure; No initial need for dedicated DBA or
Data Engineering internal resources; Able to create and maintain initial
schema and systems myself
The Big “JOIN”: collect diverse health and fitness data,
formal medical records data; ability to extend to new data
elements with minimal effort
Use of semi-structured (variant) data types to reduce and nearly
eliminate schema maintenance; Snowpipe to ingest real-time data, with
minimal warehouse cost; Combination of traditional RDS + document
DB (e.g. Json) at the same time; Later: Kenesis
Ingest and query genomics data (big data)
Partnering with Snowflake todevelop genomics pipeline tonormalize many
genomics results formats toa common schema; Significant performance and
ease-of-use advantage over other solutions.
Reduce or eliminate need to move large amounts of data
around (desire to do away with ETLs)
Use real-time data feeds (Snowpipe, Kinesis) to populate data; use
parallel compute warehouse capability to run analytics at the same
time with no impact to performance; Use
Scale and performance
Leverage multiple virtual compute warehouses to remove performance
bottlenecks; built-in clustering, materialized views; optimize cost© Copyright 2018 Sapiens Data Science, Inc.
“As a relatively new start-
up in Health IT, I was
looking for a secure,
scalable and cost-effective
data warehouse solution
that I could implement
quickly.
Snowflake has enabled
Sapiens’ to develop our
MVP platform in short
order, while also solving for
longer term requirements
of data security, scale and
extreme flexibility at the
same time.”
© Copyright 2019 Sapiens Data Science, Inc.
Sapiens’ use cases, challenges, solutions
Why Snowflake?

5. 5
• The big “JOIN”
- Successfully using Snowpipe and STAGES for real-time ingestion of personal fitness and healthcare IoT devices
- Data driven schema using JSON documents and objects to store acquired data in variant columns
- Services integration with AWS Lambda on .NET.
• Compliance / HITRUST / Data Security
- Using Enterprise for Sensitive data from the beginning; Highest price tier, but optimizing usage
- Separated three environments to support DEV, QA and PROD with unique accounts and roles for each
- Separating PHI from non-PHI using multiple schemas, with unique roles and access rights
- Planned IT project for SSO integration with Active Directory in Q1
- Planning AWS Private Link connectivity for Q2
• Embedded Analytics
- Straight forward integration of Snowflake to multiple data analytics platforms (e.g. Tableau, Looker)
- PoC in progress, focusing on embedding of visualizations to our own web and mobile apps
• Genomics data
- Co-developing pipelines to convert genomics file formats to Snowflake native relational and variant fields
- Early demo’s show high performance using Snowflake materialized views and clustering
- Easy and straight-forward hand-off to Data Science pipelines
Successes so far
© Copyright 2019 Sapiens Data Science, Inc.

6. Q & A
© Copyright 2018 Sapiens Data Science, Inc.