Conquering Data Complexity with Investigative Analysis

J.D. Stanley, Victoria Blaylock, Russ Caldwell

Conquering Data Complexity with Investigative Analysis

2 © 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential

Market Evolution J.D. Stanley Director of Strategy and Integrated Solutions, Cisco Data & Analytics Group


Data Platform, Integration, Prep and Management

Process Integration and Workflow

Energy and Asset Optimization

Real-time Streaming at the Edge

Analytics to Support Architectures Analytics to Support Vertical Industries

Energy Management

Compliance/ Configuration Management Data Prep ServiceGrid

Data Virtualization

Asset Management

Tidal Enterprise Scheduler

Collaboration Analytics

Network Analytics

Contact Center Analytics

Connected Streaming Analytics

Location Analytics

Service Provider Analytics

Cisco Data and Analytics Group Portfolio


Data Analytics Enterprise Market Trends 1-2 years from mainstream adoption

Portability (BYoA)

Tool, Stack, & Vendor Integration

Big Data Analytical Ecosystem Architecture

Data Preparation & Data Discovery

LOB Usability


Analytics

Data Refinery

Data Management

Infrastructure

ERP CRM TXT IMG

Services

Data Scientists

Tech & Pro Services

System Integration

DAG Focus Discussion for Today

Structured Unstructured Data Sources

Bare Metal Storage, Networking, Compute

Traditional Databases (RDBMS) Data Warehouses (DWH) Hadoop NoSQL / NewSQL Streaming /

in-memory DBs

Integration / ETL Event processing Quality Indexing/Search/

Messaging Metadata Mgmt

Applications

Business Intelligence (BI) Real Time Visualization

Operational Intelligence (OI)

Graph Analytics

Consulting Services

Surveillance Targeted ads Customer retention Risk assessment Demand response Cyber Security

Focus Areas

Deep Learning

Subscriber/ SP Analytics

Infra-as-a-Service

Machine Learning


Cisco’s Emerging Approach Victoria Blaylock Program Manager for Strategic Initiatives, Cisco Data & Analytics Group


Data Scientists

“I spend up to 80% of my time prepping massive amounts of data rather than analyzing it.”

Business Analysts “It’s complicated and time-

consuming to move from data analysis to business outcomes.”

IT Managers

Cisco is Addressing Key Business Challenges

“I’m in the weeds with requests from data scientists and analysts to access data for their needs.”


Cisco Analytics Workbench

Analytics Workbench

Data Virtualization

Pattern Analytics

Data Preparation


Connected Streaming Analytics

Connected Analytics

Self-service suite of tools that serves as a framework for investigative analysis and data refinery

Helps overcome complexity of disparate data Allows data scientists, business analysts, and IT stakeholders to use data for their specific needs Integrates with your current analytic environments


Merge

Refine

Distributed Edge Analytics

Big Data & Analytics Platforms

Cisco’s Platform Modules

Customer & Partner Inputs

Cisco Analytics Workbench Workflow

Enterprise Sources

External Sources

Cisco Infrastructure Sources

Analytics-based Patterns &

Relationships

Data Prep & Refinement

Virtual and Physical Access

Enhanced & Derived Data View Catalog

•  Connected Analytics •  Streaming Analytics

•  Data Virtualization (with Cisco Scan)

•  Data Preparation •  Pattern Analytics •  Business Directory

•  Data Virtualization •  Business Directory

•  Connected Analytics



Integration with Emcien Russ Caldwell Chief Technology Officer, Emcien


Merge

Refine

Distributed Edge Analytics

Big Data & Analytics Platforms

Cisco’s Platform Modules

Customer & Partner Inputs

Cisco Analytics Workbench Workflow

Enterprise Sources

External Sources

Cisco Infrastructure Sources

Analytics-based Patterns &

Relationships

Data Prep & Refinement

Virtual and Physical Access

Enhanced & Derived Data View Catalog

•  Connected Analytics •  Streaming Analytics

•  Data Virtualization (with Cisco Scan)

•  Data Preparation •  Pattern Analytics •  Business Directory

•  Data Virtualization •  Business Directory

•  Connected Analytics



Introducing Cisco Scan and Cisco Pattern Analytics Understand quality & potential of any dataset

Data

Explore

Assess Data with Scan

Analyze

Extract Patterns & Insights

Predict

Predict Future Outcomes

•  Discover if data has valuable connections and relationships •  Extract patterns or signatures of activity to provide insights •  Make real-time predictions with historical patterns of activity


Explore: Discover Relationships within Your Data

•  Reveals which columns are correlated •  Suggests ways to maximize predictability of each column


Explore: Predictive Business Directory Module Providing automated data assessments for all data views

< >

Network Traffic Data

Human Resources

Customer Activity & Weather

Cisco Business Directory

1.

2.

3.

•  All Data Virtualization views automatically scanned

•  Business users see the quality and predictability for all data views

•  Powerful new metadata unique to Cisco Data Virtualization & Business Directory

•  Discover connections across multiple data views


Analyze: Extract Patterns Related to an Outcome

•  Detailed patterns of activity are converted to IF/THEN rules for users or real-time predictions

•  Automated extraction of rules means you get to the answers quickly

•  Use in real-time predictions or with existing statistical models


Predict: Make Predictions for Desired Outcome

•  Makes predictions using rules detected during analysis

•  Each prediction includes: •  The winning outcome •  The top reasons “why”

it was chosen •  Scores for all the other

possible outcomes


•  Reduce the analytics barrier for everyone

•  Explore and know your data

•  Discover patterns of activity within complex data

•  Make predictions on streaming or static data

Key Benefits

Data

Explore

Assess Data with Scan

Analyze

Extract Patterns & Insights

Predict

Predict Future Outcomes


Thank You!

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