Tibco streaming analytics overview and roadmap

This document (including, without limitation, any product roadmap or statement of direction data) illustrates the planned testing, release and availability dates for TIBCO products and services. It is for informational purposes only
and its contents are subject to change without notice. © Copyright 2000-2017 TIBCO Software Inc. All rights reserved. TIBCO Proprietary Information.
TIBCO Streaming Analytics
Lou Bajuk-Yorgan
Sr. Director, Product Management,
Streaming and Advanced Analytics

DISCLAIMER
During the course of this presentation, TIBCO or its representatives may make forward-looking statements regarding future events,
TIBCO’s future results or our future financial performance. Although we believe that the expectations reflected in the forward-looking
statements contained in this presentation are reasonable, these expectations or any of the forward-looking statements could prove to
be incorrect and actual results or financial performance could differ materially from those stated herein.
TIBCO could experience factors that could cause actual results or financial performance to differ materially from those contained in
any forward-looking statement made in connection with this presentation. TIBCO does not undertake to update any forward-looking
statements that may be made from time to time or on its behalf.
This document (including, without limitation, any product roadmap or statement of direction data) illustrates the planned testing,
release and availability dates for TIBCO products and services. This document is provided for informational purposes only and its
contents are subject to change without notice. TIBCO makes no warranties, express or implied, in or relating to this document or any
information in it, including, without limitation, that the information is error-free or meets any conditions of merchantability or fitness for a
particular purpose. This document may not be reproduced or transmitted in any form or by any means without our prior written
permission.
The material provided is for informational purposes only, and should not be relied on in making a purchasing decision. The
information is not a commitment, promise or legal obligation to deliver any material, code, or functionality. The development, release,
and timing of any features or functionality described for our products remains at our sole discretion.

People &
Processes
Data &
Systems
APIs
Visual
Analytics
Streaming
Analytics
Predictive
Analytics

AUGMENT INTELLIGENCE
Visual
Analytics
Streaming
Analytics
Predictive
Analytics
Model business and system behavior
using data big and small
Deliver recommendation driven insight
to business and operations
Sense and take action in the right moment to
improve business outcomes

Traditional Data Processing
• Data is collected from a variety of
sources, and placed in a persistent
store.
– Relational database.
– NoSQL store.
– Hadoop environment.
• Analytical processes are executed
against the stored data to detect
opportunities or threats.
• Actions are identified, delivered,
and executed across various
business channels.
Store
Analyze
Act

Traditional Data Processing: Challenges
Store
Analyze
Act
• Introduces too much “decision
latency” into the business.
• Responses are delivered “after-the-
fact”.
• Maximum value of the identified
situation is lost.
– Cross-sell / up-sell opportunities are
lost, impending equipment failure is
missed, business processes are slow
to respond and lack timely context.
• Decisions are made on old and stale
data.

Event Value Decreases Over Time
Value
Time
• Events are often most
valuable “close to” the
point of collection.
• As time passes, events
tend to lose their value.
• The ability to proactively
identify “threats” or
“opportunities” will typically
decrease.
• Real-time capability is
needed to maximize event
value.

Streaming Analytics
• Events are analyzed and processed in
real-time as they are generated.
• At the edge and in the data center.
• Decisions are timely, contextual, and
based on fresh data.
• Decision latency is eliminated, resulting
in:
Superior Customer Experience
Operational Excellence
Instant Awareness and Timely Decisions
Act &
Monitor
Analyze
Store

BATCH ANALYSIS REAL-TIME ANALYSIS
PROCESS ZONE STRATEGIC TACTICAL OPERATIONS EXECUTION
TIME INCREMENT
Quarters/
Years
Months/
Quarters
Hours/
Days/Weeks
Seconds/
Minutes
Evolution of Analytics

Evolution of Predictive Analytics
Insight Discovery
• TIBCO Spotfire
• R, TERR®, Python
• H2O, Matlab, SAS, KNIME
Insight Execution
• PFA, PMML
• POJOs
• Proprietary formats (SAS, TIBCO, ...)
Insight Execution Services
• Microservice with containers
• Devops / Data Science handshake

Evolution of Streaming Analytics
Complex Event
Processing
~ 2000 - 2010
FSI, Transportation
and Logistics, Retail,
Airlines, Telco,
Manufacturing
Event
Processing
~ 2011 - 2014
Big Data as DW,
open source as
toolkit.
Clickstream, Social.
Convergence of
Streaming and
Analytics
~ 2017+
IoT, Insight
Platform
Streaming
Analytics
~ 2015+
Big Data & open
source as platform,
IoT, Cloud, Self-
Service, Sensor,
Telemetry, ML & AI,
revisit old use cases.

Insight Action

Insight Action
MONITOR
PREDICT
ACT
DECIDE
MODEL
ACCESS
ANALYZE
WRANGLE
TIBCO Insight Platform

Streaming Analytics Overview

TIBCO Streaming Analytics Summary
TIBCO® Live Datamart Accelerators: Enable
common use cases
▪ BusinessEvents: Rules, Caching,
Entity relationships and state
▪ StreamBase: Visual IDE,
Streaming Analytics, 150+
Connectivity points, Cloud
Enabled
▪ Unified Suite
▪ Predictive analytics
 Real-time datamart, continuous
query and aggregation
 LiveView Web: Modern web
client, real-time graphics, alerts,
actions
 Leverages SB runtime and 150+
Streaming Data Connectors
 Enterprise, IOT, Spark
Integration
 Pre-packaged production-quality
solution templates
 Streaming Analytics focused,
leverages Predictive Analytics
 Extensible GUIs
 Extensible business logic
 Connectivity
$
TIBCO® BusinessEvents &
TIBCO® StreamBase

TIBCO BusinessEvents
Build Event-Driven Apps with Ease and Speed
Developer Highlights
• Integrated development environment
• Graphic editors and model-driven environment
• Non-linearity in the form of declarative rules
Business User Highlights
• Defining and implementing rules and logic in a web browser
• Decision tables and rule templates
Runtime Highlights
• Multi-protocol channel support
• Event-driven rule evaluation and execution
• Stateful for reasoning across time and space
• Multiple deployment topology options
• Horizontal scalability
• Memory management strategies
• Data grid security
• Cross Datacenter ReplicationTIBCO® BusinessEvents
Studio

TIBCO StreamBase
Build Streaming Analytics Apps with Ease and Speed
Developer Highlights
• Eclipse-based IDE
• Visual programming language
• Integrating predictive models via TERR/R, PMML, H2O, SparkML
• Data connectivity with numerous integration points
• Defining and implementing rules and logic in a web
browser
Runtime Highlights
• Immense throughput at extremely low latencies
• Big Data and IoT connectivity
• Enterprise Ready – Distributed Shared Memory
provides High Availability, Fault Tolerance
• Cloud Enabled
TIBCO® StreamBase Studio
UI

TIBCO Live Datamart
Provide Insight and Instant Command and Control
• On-the-fly action on detected opportunities and threats
• Interacting with live data: ad-hoc queries, alerts
• Live drill down with preferred visualizations
• Multiple client options: desktop, web, custom UIs
TIBCOTM LiveView Server Highlights
• Ultra-fast, continuous querying
• IoT ready: OSI PI, MQTT, …
• Connectivity via sensors, GPS, and others
TIBCOTM LiveView Web

Zero install, streaming ready
WebSockets-powered HTML5
Highcharts-powered visualizations
display your data as it changes
Real-time Visualizations
Fine-tune your experience by
authoring or downloading from the
community exchange JavaScript
extensions to TIBCO LiveView Web
JavaScript Plug-ins
TIBCO LiveView Web

TIBCO Solution Accelerators
Intelligent Equipment
Accelerator
Accelerator for
Apache SPARK
Connected Vehicle
Accelerator
Learn Faster, Innovate Faster
FX Dealing Accelerator, Smart Inventory Accelerator, Energy
Drilling, etc…

What we’ve been up to ... (in production today)
DevOps
APIs,
CI/CD
StreamBase®
TIBCO Business Events
High
Availability
Artifact
Management
(Rules)
Accelerators
Cloud Deployment
AWSTM, PCF,
Docker®
Predictive:
TERR, PMML,
H2O, SparkML
Flexible
Data Grid
Deployments
Customization
APIs
Cross Data
Center
Replication
Ease of use
Web
Studio
Accelerators Visualizations
via TIBCO
LiveView
IOT
Integration
Docker

Key Analytics Interoperability Points
Spotfire to TIBCO
LiveView data
connector
Self-service snapshots
Alternative connection to big
data persistence, as loaded
from StreamBase
Streambase to Spotfire
Automation Services
operator
Remotely call Spotfire engine
Parameterized analytic tasks
Create event-driven content
TERR Engine &
Statistics Services
Unique, high performance
engine for R
Embedded in Spotfire® &
StreamBase, TIBCO
Business Events
TIBCO LiveView
dashboard mashup
Plug streaming dashboards
into analytic apps
Data driven alerts with
actions
Visual
Analytics
Predictive
Analytics
Persistence
Mart / Grid
Visual
Analytics
Streaming
Analytics
Visual
Analytics
Streaming
Analytics
Command
& Control

Use Cases

Optimize
Pricing Prevent
Fraud
Smart cross-sell
offers
Real-Time
inventory
Management
Optimize
Routes
Deliver proactive
customer service
Predict impending
equipment failure
Anticipate
and handle
disruptions
Analytic AppsS
© Copyright 2000-2017 TIBCO Software Inc.

Request from Website Targeted Analytics Offer to Website
Customer Data
Product Data
Real-Time Customer Interactions / Offers
Login: Customer Propensity
No Login: Product Association

Real-Time Customer Interactions / Offers
No Login = No Customer History => Offer based on Product Association
Sarah Login = Sarah’s Customer History => Offer based on Propensity Model scored for Sarah

Use Case Example: Manufacturing Optimization
• Problem
• Producing defective,
unreliable or poor performing
product.
• Shorter lifecycles  faster new
product ramps.
• Value
• Increase Yield / % Good
product
• Reduce Defects & Rework
• Improve Reliability
• Use Cases
• Quality Monitors and
Dashboards
• Root Cause Analyses
Root Cause:
Machine
Effects
Monitor Product
Quality KPIs and flag
outliers.

Use Case Example: Retail / Real-Time Inventory
• Problem:
• Lack of visibility into inventory levels across all
channels.
• Difficulty allowing shoppers to buy anywhere, fulfill
from anywhere, and return anywhere.
• Difficulty identifying the best fulfillment locations.
• Value:
• Increased customer satisfaction.
• Reduction in excess inventory.
• Improved inventory visibility across all channels.
• Use Cases:
• “Order Online, Pick-up In Store”
• Beacons / Contextual Offers
• Endless Aisle
• Personalized Shopping Experience

Fraud Applications
Anti-Money Laundering
▪ Identify / trace unknown and suspect transactions across
context e.g. business lines and geographies
▪ Set thresholds, define segments and automate alert scoring
▪ Comply with OCC guidelines
Credit Card Fraud
▪ Identify fraudulent transactions by vendor, location
▪ Highlight patterns, context and identify root cause
Regulatory Compliance
▪ Identify violations, patterns
▪ Expose a clear methodology and workflow
© Copyright 2000-2016 TIBCO Software Inc.

• FSI: Algorithmic pricing and execution, foreign exchange (FX) trading, market data
management
• Retail: In-store promotions, campaign optimization, real-time inventory tracking, fraud
detection
• Entertainment: Zero-latency betting, decision support over concurrent games, online
fraud and phishing detection
• Telecommunication and Networking: Real-time SLA management, network monitoring and
protection, fraud detection
• Transportation and Logistics: Flight operations, train-to-shore communication, passenger
experience management, parcel tracking, route optimization
• Energy: Production, fuel exploration, predictive equipment maintenance Manufacturing:
Process optimization, order-to-inventory management, supply chain monitoring
• Healthcare: Patient flow monitoring, bed inventory management, procedure optimization,
real-time disease detection
• IoT: Airline operations, locomotive operations, connected cars, smart homes
More Use Cases

StreamBase®
TIBCO Business Events
Model
Deployment
and
Governance
Easier
TIBCO LiveView/
Spotfire Mashup
More Predictive
Model Options (PFA)
DevOps
APIs,
CI/CD
Accelerators Streamlined
Visualizations
via TIBCO LiveView
What’s next ... (not necessarily this order)
6-18mo
Streaming
Data
in Spotfire
Web-based
Workflow
Authoring
Accelerators
Extensibility
and
APIs
Tighter
Ecosystem
Integration
Cloud
Deployments
Artifact
Management

Summary

Tibco streaming analytics overview and roadmap

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