January 23, 2013

Big Data for CFO’s How to increase financial performance by improving predictability and visibility

January 23, 2013

Sponsored By:

MEDIA/ ENTERTAINMENT

Viewers / advertising effectiveness

COMMUNICATIONS

Location-based advertising

EDUCATION & RESEARCH

Experiment sensor analysis

CONSUMER PACKAGED GOODS

Sentiment analysis of what’s hot, problems

HEALTH CARE

Patient sensors, monitoring, EHRs

Quality of care

LIFE SCIENCES

Clinical trials

Genomics

HIGH TECHNOLOGY / INDUSTRIAL MFG.

Mfg quality

Warranty analysis

OIL & GAS

Drilling exploration sensor analysis

FINANCIAL SERVICES

Risk & portfolio analysis

AUTOMOTIVE

Auto sensors reporting location, problems

RETAIL

Consumer sentiment

Optimized sales & marketing

LAW ENFORCEMENT & DEFENSE

Threat analysis - social media monitoring, photo analysis

TRAVEL & TRANSPORTATION

Sensor analysis for optimal traffic flows

Customer sentiment

UTILITIES

Smart Meter analysis

Big Data Fills Out the Complete Picture

ON-LINE SERVICES / SOCIAL MEDIA

People & career matching

Web-site optimization

Challenged by: Data Volume, Velocity, Variety in finding Value

Typical Production Deployment with Big Data

Data Discovery Engine

Hadoop (Big Data) Distributed File System

Website Logs & Data NoSQL DB

Sensors

Data Warehouse BI Tools and Dashboards

Real-Time Recommendation

Engine

Persistent Data Store for All Data of Value

Semi-structured & unstructured data

Recommend Location & User Profile

Big Data for CFOs

Speed Pipeline

Reduce Costs

Intelligent Value

Intelligent Value Creation

Action Pattern

Interpretation

Business

Activity Sensor/Data

Mind

The

Gap

Neural ID delivers pattern based solutions for unstructured data to Health Sciences (Intelligent Waveform Service)

Supports Oracle, Postgres

Intelligent Waveform Solution (Big Data solution for Life Sciences/Healthcare)

Biosignals (Sensor Data Warehouse)

Patterns Database

Run Analysis (Multi-experiment)

Train/Configure (Machine Learning)

Dashboard (Electronic Lab Notebook)

Formats: MEA, DSI, CSV, EDF Applications: Cardiology and Neurology Drug Discovery Pre-clinical

Outcomes:

+ Accelerated learning

+ Data completeness

+ 5X reduction in “Time to Analysis”

+ Better resource utilization

+ Increased capacity

Salesforce.com Solutions

The Data Say…This is Going to be Big

• Everyone’s asking about it

• Many hope to monetize it

Average worldwide

traffic of "big data"

Size Matters…But So Does Significance • It’s cheap to create big data ‘islands’…

…with little actual value compared to their cost

• Strategic ‘big data’ comes from

– Identification of what’s useful

– Accessibility of high volumes from multiple sources

– Processes for acting on insights

– Integration with applications: The defining strength of Force.com

Informatica

• It’s Not A New Problem – “Time is lost, confusion results and money is spent.”

(1917 complaint about the telephone) – ‘volume, velocity, variety’ (Gartner) – beyond scientific computing

• Bigger Tools – Hadoop (Facebook / Cloudera) – Informatica

• Improving Algorithms & Visualizations

Big Data: Achieving Understanding

Gyula Sziraczky Founder, President

Data Fragmentation - Aggregation

Data Fragmentation - Aggregation

Operational/Clinical

Focuses on Internal Operations

(e.g.. Financial, Clinical Performance)

Infrastructure

Focuses on Securing, Connecting and

Speeding up Healthcare related

Information (e.g.. Platform, Software,

Reporting)

GOAL: Transaction

Enable the exchange/Deliver of

critical information to accomplish

discrete tasks

GOAL: Knowledge Provide New, Timely

Sensitive Information for

Decision Making

GOAL: Communication

Enable Dialogue or Information

Dissemination

GOAL: Integration

Unify Services, Products and

Players to Form a Whole

Solution

Health

Care Quality

Quality - Learning HealthCare

Accurate, Meaningful and Timely Reporting

Analysis - Quality and Efficiency

Understanding a patient's individual risks

will lead to more effective, more timely, and

less costly process of care.

identify the outliers BEFORE they become outliers