WELCOME Data Analytics Industry Day VADM Brian Brown Commander, - - PowerPoint PPT Presentation

Data Analytics Industry Day

WELCOME

VADM Brian Brown

Commander, Naval Information Forces

United States Fleet Forces

Our Strategic Environment

Urgency to deliver the Navy the Nation Needs Lethal, Agile, Ready

• Maritime Era of Great Power Competition – China and Russia
• Must still contend with Iran, North Korea,

Violent Extremists

• Technology and Pace of Technology –

Stressing Info Environs

• Dynamic Spectrum of Conflict

National Security Strategy National Defense Strategy Navy Strategy Distributed Maritime Operations

United States Fleet Forces

5

A key component of the Distributed Maritime Operations concept, Navy Information Warfare delivers lethality and decisive warfare advantage through assured command and control, battlespace awareness, and integrated fires.

Information Warfare in Distributed Maritime Ops

Integration Maneuver Distribution

DMO

Assured C2 Battlespace Awareness Integrated Fires

United States Fleet Forces

6

Information Warfare Antisubmarine Warfare Mine Warfare Air Defense Antisurface Warfare Expeditionary Warfare Strike Ballistic Missile Defense Ops Safety

IW Capabilities Across Warfare Areas

IW Capability Pillars

Information Architecture  Assured C2 Information Content  Battlespace Awareness Information Effects  Integrated Fires

IW capabilities are part of every kill chain across all domains (even Mother Nature’s)

IW “owns” IW “impacts”

Human Influenced Physical

Battlespace Awareness

IFC

United States Fleet Forces

IW TYCOM

C5I Campaign Plan Metrics

• Mr. Rich Voter

C5I Wholeness Campaign Plan Lead, NAVIFOR

United States Fleet Forces

Goal: Improve readiness of the Navy’s Command, Control, Communications, Computers, Combat Systems and Intelligence (C5I) capabilities

C5I Wholeness Campaign Plan

Metrics will underpin the Campaign Plan

Ensure product and capability wholeness

FOCUS AREA 2

Capability Wholeness

Establish enduring command relationships and governance framework

FOCUS AREA 3

Structural Readiness

Improve C5I system delivery and maintenance; Increase system availability (Ao)

FOCUS AREA 1

Operational Readiness Deliver 100% operational and configured & tested systems Maintain systems operational. Ensure timely and effective response to system casualties Design, Material, Documentation, Personnel and Training

• Reduce variance, complexity, obsolescence and orphans
• Improve supply readiness
• Improve technical documentation and procedures
• Improve operator proficiency to employ capabilities

Clearly define command relationships with formal ownership & alignment of C5I processes and events Establish the enduring metrics processes to enable gap & barrier identification, root cause analysis and solution development

United States Fleet Forces

• Following the Navy’s Performance to Plan (P2P)

methodology ‒ Input and Output Metrics ‒ Focus on outcome ‒ Determine cause-and-effect relationship

Metrics Approach

Data Source Examples Schedules System testing results Trouble tickets & equipment casualty reports Spare parts Manpower Training

United States Fleet Forces

If we achieve: ‒ rigorous and successful post-maintenance / modernization testing, ‒ higher levels of personnel readiness, and ‒ a disciplined approach to sustaining/verifying C5I system operability we will see higher level of C5I readiness throughout the training, deployment and sustainment phases of the operating cycle.

The Hypothesis we are Seeking to Prove

The data analytics will prove or disprove the hypothesis

Optimized Fleet Response Plan (OFRP) for deploying Navy groups

United States Fleet Forces

• Authoritative data sources
• Data access
• Data quality
• Seeking MOEs and not just MOPs
• Achieving sufficient fidelity to

understand cause-and-effect

• Ensuring a well understood baseline

before looking for correlation

Data Analytic Challenges

United States Fleet Forces

Where Are We?

Source: Best Practices for a Data Driven Organization by CNA

We are mostly here In a few areas we are here We want to get here

C5I Campaign Plan Metrics

Questions / Discussion

Government Panel

Data Analytics Impact on Information Warfare Operations

Keynote ~ RAVEN

CAPT Al Lopez

Program Manager

Naval Information Warfare Systems Command

DISTRIBUTION STATEMENT

“Readiness & Analytics Visualization Environment” (RAVEN)

13 August 2019

Presented to: Data Analytics Industry Day Presented by: CAPT Al Lopez Program Manager, Fleet Readiness Directorate & APEO Readiness

FLEET READINESS DIRECTORATE

DISTRIBUTION STATEMENT A: Approved for public release. Distribution is unlimited (08 AUGUST 2019)

A Personal Data Discovery

A Candy Conundrum

LIMITATIONS

• Difficult to gain new

insights

• Limited or no analysis
• Time Late
• Conclusion: Stoplights were

merely the beginning…

Today’s Solution = Visualization + Statistics + Machine Learning

Collect data Develop Health Indicator (platform, system, etc.) “Stoplights Chart”

Traditional Dashboards

 How do we anticipate (and prevent) CASREP

spikes based on historical averages by OFRP events?

 How do Manning and Training trends correlate

with readiness and CASREPs?

 Which trends are occurring across data sources

that might point to a bigger issue?

 Is there a recurrent source of issues to the Fleet?

Some Questions To Answer

Statement D: Distribution authorized to DoD and U.S. DoD contractors only. Other requests shall be referred to COMSPAWAR or the cognizant SPAWAR code.

Platform Drill Down

Drill down to platform level will provide insight into correlations between schedule (WebSked) and specific CASREP/ SOVT issues, durations and resolution plans Data is fictional. Actual data available via SIPRNet

Statement D: Distribution authorized to DoD and U.S. DoD contractors only. Other requests shall be referred to COMSPAWAR or the cognizant SPAWAR code.

Statement D: Distribution authorized to DoD and U.S. DoD contractors only. Other requests shall be referred to COMSPAWAR or the cognizant SPAWAR code.

What is RAVEN..

Getting left of the Readiness problem…using data we already have

• Automating real time data feeds from ~30 sources
• Facilitates analysis, visualization and data

provisioning

• Identifies problem areas and trends to enable

data-driven decision-making and proactive measures

Basic Architecture

• DISA hosted SIPR data lake
• Connections to complementary data

environments & virtualization

• 27 Initial Data sources

Data Layer

• Visualize & interact with data using

Tableau

• Standard & customizable views

Visualization Layer

• Data science languages, libraries, & tools
• Enables predictive analytics & machine

learning

Data Science Layer

Logical Data Lakes NOT Warehouses Best of Breed Analytics Needed for IW Enterprise (PEO C4I)

 Dashboards are incomplete without analysis  RAVEN will empower data science novices AND experts

to contribute knowledge through analysis

 Accumulated knowledge is nothing less than mineable

wisdom

RAVEN – Project Assumptions

Family of Systems

▼ LOG Family of Systems

authoritative data access

▼ N4 ▼ NAVWAR, FRD, C4I

PMWs, ISEAs, Fleet Commands CSG/ARGs, TYCOMs

▼ Cyber Situational

Awareness

▼ FCC/C10F, CPF ▼ MOC/NOC/Watchfloor

Users

▼ IWE and C4I Readiness ▼ NAVWAR, PEO C4I,

NAVIFOR, USFFC, CPF

▼ NAVWAR, FRD, C4I

PMWs, ISEAs, Fleet Commands CSG/ARGs, TYCOMs

PURPOSE STAKE- HOLDERS USERS KEY DATA SETS NCSA RAVEN

VRAM* HBSS* CASREPs* ISEA DSRs DGSIT C20IX NCDOC/ENMS Ticketing Terrestrial Transport (DISA) SOVT/SOT ITSM * NCSA will provide data for overlapping data sets IPS/IDS FLTMPS Streaming Tactical Data Links

NOBLE IDE

NOSS NOME NAMS R-Supply FSM3 ROM3 BCS-LMAIS OOMA OIMA OMMS-NG MFOM

The Road Before Us

NAVWAR NAVIFOR PEO C4I PACFLT Fleet Forces

Information Assurance Data Aggregation Experiment Go Fast Involve Users

Industry Opportunities

ALGORITHMS

Classification Forecasting …using Navy data sets Predictive Text Mining

Q & A

Industry Panel

How Industry can Best Support IW Operations with Data Analytics

Engagement Opportunity

Data Analytics Industry Day Closing Remarks