Transcript Magnify Search - Information Builders

providing business intelligence for the mobile user with
WEBFOCUS MOBILE
Copyright 2011, Information Builders. Slide 1
Driving WebFOCUS Mobile
“Mobile BI has the potential to significantly expand the population of BI
users to include a much more mainstream audience … By 2013, 33% of BI
functionality will be consumed via handheld devices."
- Gartner, Jan. 2011
Copyright 2011, Information Builders. Slide 2
Any Device, Any Form Factor, Any OS Platform
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WebFOCUS Mobile Strategy:
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Device independent BI solutions
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Develop once, run from anywhere
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Highly interactive, device exploitive Web
Apps with built in analytic capabilities
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Embed BI Web Apps in custom applications
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Common BI security framework
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Read and write access
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No additional hardware, software required
WebFOCUS Mobile Components:
 Mobile Favorites (portal)
 Mobile Faves (os app)
 Active Technologies
 WebFOCUS Maintain
 …and more (e.g.: Self-Service access)
Copyright 2011, Information Builders. Slide 3
Mobile Favorites Portal for Any Mobile Device
 Simple and intuitive access
of WebFOCUS content on
any device
 Administrator or user driven
content assignment
 One click content
designation for access on
mobile devices
 Leverage WebFOCUS
secured access
 Deliver Guided Ad Hoc
 Deliver AHTML, HTML,
PDF, Excel, etc.
Copyright 2011, Information Builders. Slide 4
Mobile Faves Hybrid App for Apple Devices
 Native consumption of WebFOCUS Content
 Extends Mobile Favorites portal (normal “pull”)
 Email Attachments (“Open-in” prompt)
 Subscribed reporting (automatic “push”)
 Easily access online and offline content (1-2-tap)
 Allows saving, emailing, and cataloging BI content
Copyright 2011, Information Builders. Slide 5
Active Technology Web Apps
 Ease of Use
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Single-tap UI paradigm **new
Full gesture & screen rotation support **new
Embedded data analysis and visualization
Full offline data interactivity
 Ease of Development
 Dynamic device detection
 Build once, fit in any device
 Industry Standard
 Send data with 128-bit encryption
 Web Apps technology **new
 iPhone App-like UI **new
 Available in HTML or Flash **new
Active Technology Web App Gesturing
Scrolling
Paging
Freezing
WebFOCUS Maintain for User Input
 Transactional
updates and
write-back data
entry
 Encourage
collaboration
and on-demand
input
 Support for ECommerce
Copyright 2011, Information Builders. Slide 8
Across Mixed Devices
Copyright 2010, Information Builders. Slide 9
Availability - Release
 Mobile Favorites – Available in WebFOCUS 7.6.4 and higher
 Web based reports are web compatible including Active Technology
(without enhanced Active Technology features)
 WebFOCUS Pro Portal – New Fee Schedule Item
 Bundles WebFOCUS, Mobile Favorites, and Active Technologies
 WebFOCUS 7.7.03 – Available Now
 Contains Latest Active Technology with support for HTML 5,
gesturing, and Flash-or-HTML5 rendering
 Mobile Faves app available now in App Store
 Free download
 Requires a license for WebFOCUS Mobile Favorites to work with your
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own WebFOCUS Server
WF release 7702M (without enhanced Active Technology features)
Copyright 2011, Information Builders. Slide 10
Demo: Mobility Independence
Instant access to business intelligence
MAGNIFY SEARCH
Copyright 2010, Information Builders. Slide 12
Single Access Point To All Applications and Databases
Anyone
Single Point of Information Access
Business
Analysts
Multiple Application Interfaces
IT
Mainframe
Data
Application
Mainframe
Mainframe Application Data
Copyright 2010, Information Builders. Slide 13
Convergence of BI and Search: Developing simple but
powerful applications for information inquiries
Information Inquiries
(1)
(2)
Search for
customer account
Search for vendor
transaction
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Key word
query
Numbers
query
Search
BI
(3)
(4)
Get account
balances
Get all transactions
exceeding $ X.xx
Leverage the strengths of each technology
Leverage hardware and software
Simplify development, maintenance & deployment
Offer better and more complete user experience
Copyright 2010, Information Builders. Slide 14
Magnify: Introduction
What is a search result?
Copyright 2010, Information Builders. Slide 16
How The Magnify Platform Works
Transform Content
into Searchable
Information
1
2
3
The Magnify Process
• Capture content in real time as
information is added or edited.
• Catalog content with a search
engine index using tags to
categorize, secure, rank and
present results stored.
• Cost effective and highly
scalable solution leveraging
open source Lucene.
Enterprise Content
• Business intelligence reports
presenting various ways to view
found content.
Search Request
Magnify Results
Report Request
WF Report
• Clustered indexes keep search
within one application as more
information becomes available.
Magnify Search: New Features
 Search Based Application
 facet category counts and spell checking
 available in various languages
 query score percentage
 updated tabular feature set
 Development
 file type auto-detection
 open office and archives
 expose file properties
 Security and Administration
 optimize memory usage and performance
 content analysis and organization
 collection security
Magnify Quick Feed: Create Magnify Applications Easily
 Challenge
 Building Search Based Applications (SBA) required specialized skills mainly
information architecture
 Not many people have this skill
 Realization: Building Search Based Applications is no different than building reports
 Magnify category fields equal BY fields in WebFOCUS
 Searchable content equal PRINT fields in WebFOCUS
 New Feature: FORMAT MAGNIFY
 Transforms raw data into search content
 Create reports in Developer Studio
 Change format to Magnify …. AND YOU ARE DONE!
Magnify Search Application Use Cases
Magnify Demonstration
Copyright 2011, Information Builders. Slide 21
predicting the future could make an impact on the bottom line
RSTAT PREDICTIVE
ANALYTICS
Copyright 2010, Information Builders. Slide 22
Business Dilemma
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Send catalogs to 300k prospects
Cost: $100 per catalog
Average Profit per response is $250 (hypothetically)
Response: a little over 29% of prospects receiving catalog
Under these conditions, a catalog campaign will not be profitable - with
a little math, actually lose $8.25million.
Copyright 2007, Information Builders. Slide 23
Impact…
• Target 20% of most likely responders
based on model output.
• Likely to make $9million profit
• A realized gain $17.25 million
Copyright 2007, Information Builders. Slide 24
What is Predictive Analytics?
Predictive Analytics (PA) helps one to…
 Discover/understand what’s going on
 Predict what’s going to happen
 Improve overall decision making
 Improve business processes
 Create a competitive edge!
Predictive Analytics IS a key business process…
 Learning from experience
 User-centric, interactive
 Leverages analysis technologies and computing power
 An information-based approach to decision making
 Results are mainly used in a forward-looking style
Predictive Analytics vs. Business Intelligence
Business Intelligence
Predictive Analytics
 User driven
 Data driven
 Rear view
 Forward view
 Manual methods
 Automated methods
 All attributes needed
 Only key attributes needed
 Reportable info
 Actionable info
 Experience-driven
 Data-driven
Copyright 2007, Information Builders. Slide 26
Predictive Modeling and Scoring Applications
Definition of Predictive Modeling:
Predictive modeling is a process that:
(1) takes as an input historical data,
(2) evaluates it statistically,
(3) creates as an output, a mathematical formula or a set of rules,
(4) which can be applied to a new record or a new set of records
(5) to calculate a score (the prediction) for each record.
The score/prediction can be used in any report to facilitate decision making.
Definition of Scoring Application:
A scoring application integrates the created model (#3 above) into workflow
application that provides the UI for users to extract data or pass records to the
model and return the results into a report or a process flow.
WebFOCUS RStat
 Single BI and Predictive
Analytics Environment
 Re-use metadata and
queries
 Perform data manipulation
and sampling
 Build scoring applications
 Based on R-Project
 Open source
 Maintained by world wide
consortium of universities,
scientists, government
funded research
organizations, statisticians
 Over 2000 packages
 RStat is a GUI to R
 Intuitive guided approach
to modeling
 Simple model evaluation
 Intended both for business
analysts and advanced
modelers
Business Value:
By binding predictive analytics with WebFOCUS you can
embed high probability directions, scores and expected
outcomes into frontline operational processes, improving
returns.
Copyright 2007, Information Builders. Slide 29
Building Predictive Applications
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Development is done in a fully integrated BI and Predictive Analytics
Environment
Copyright 2007, Information Builders. Slide 30
WebFOCUS RStat Comprehensive List of Analytic Models
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Supervised modeling for classification and prediction: A target
(dependent) variable and a training set are required to build the model.
• Decision Trees
• Boosting (Ada Boost - algorithm)
• randomForests (the algorithm name is
the same)
• Regression – Linear, GLM, Logistic,
Poisson and Multinomial
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Unsupervised modeling for classification only: Classification is
generated directly on the original data, without building a model first,
i.e., dependent variables and training data are not required.
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• Association Rules (apropri algorithm for
Market Basket analysis)
• Support Vector Machines
• Neural Networks (FeedForward Neural
Network model)
• Survival Analysis – Cox PH and
Parametric
Clustering – both K-means and Hierarchical clustering
Association Rules
Hypothesis Testing: T-Tests, Variance tests.
Transformations: Rescales, Impute, Remap, and Cleanup
Descriptive statistic: Summary statistics, distributions, correlations,
principal components
Model evaluation: Error Matrix, Risk chart, Lift chart, ROC Curve,
Precision and Sensitivity charts
Law Enforcement Applications of PA
 Crime predictions
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Enhance resource allocation to minimize crime
occurrences
Minimize costs by deploying resources more
effectively
Provide actionable, predictive information to the front
lines
Increase officer safety
Application Use Cases of Predictive Analytics
Financial Services
Retail
Telecommunications
Higher Education
Gaming / Hospitality
Healthcare
Insurance
Government
Manufacturing
Horizontal Applications of Predictive Analytics
 Marketing / CRM
 Promotional targeting
 Customer segmentation
 Improve response rates
 Cross and up-selling
 Customer retention
 Reduce campaign costs
 Customer acquisition
Fraud / Risk
 Fraud detection
 Fraud prevention
 Credit risk
 Patient outcomes
 Claims analysis
Process improvement
 Quality improvement
 Warranty analysis
 Time to failure
 Resource allocation
 Demand forecasting
Demo: Create Scoring Application
Trends
How do you use Business Intelligence?
Technology Priorities
Business intelligence applications
1
Enterprise applications (ERP, CRM, others)
2
Servers and storage technologies
3
Legacy modernization, upgrade,
or enhancement
4
Technical infrastructure
5
Security technologies
6
7
73% of organizations
do not use BI as a
competitive
differentiator
Collaboration technologies
8
44% of organizations do
Document management not use BI for strategic
9
Service-oriented architecture (decision-making
SOA)
& business applications (SOBA)
10
Source: Forrester Research, Global BI and Data Management Study
Trends
Is your Business Intelligence application easy to use?
Technology Priorities
Business intelligence applications
1
Enterprise applications (ERP, CRM, others)
2
Servers and storage technologies
3
Legacy modernization, upgrade,
or enhancement
4
Technical infrastructure
5
Security technologies
6
Networking, voice, and68%
data
7 do
of organizations
not find their BI
Collaboration technologies
8
applications easy to
Document management
9
use
Service-oriented architecture (SOA)
& business applications (SOBA)
10
Source: Forrester Research, Global BI and Data Management Study
Core Philosophy: Continuous Innovation & Capability
Expansion to Support Business & People Growth Over Time
Copyright 2007, Information Builders. Slide 39
WebFOCUS
77xx, 8 and
Beyond
Copyright 2007, Information Builders. Slide 40
WebFOCUS Roadmap
Release Schedule & Related Initiatives
 Release 7.7.03 – GA now!
 Features formerly planned for Release 8 accelerated
due to customer demand and competitive market
conditions
 Release 7.7.04 – December, 2011
 Release 8 – Beta now, Release December 2011
 WebFOCUS Enable, RStat, and Performance Management
Framework on flexible, independent release tracks
 New ATS Strategic Support Services team – 100%
focused on Premium Support customers
Copyright 2007, Information Builders. Slide 41
InfoAssist
Empowering the Power User
Copyright 2007, Information Builders. Slide 42
InfoAssist
End-User Created Interactive Dashboards
Copyright 2007, Information Builders. Slide 43
InfoAssist
End-User Created Interactive Dashboards
Copyright 2007, Information Builders. Slide 44
InfoAssist
Interactive PDF
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Portable
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Printable
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User Friendly
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Green
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Design Savings
Copyright 2007, Information Builders. Slide 45
InfoAssist
Analytic Dimensional Slicers
Copyright 2007, Information Builders. Slide 46
InfoAssist: InfoMini
Power User Custom Interactive Content & Gadgets
Copyright 2007, Information Builders. Slide 47
InfoAssist
Cube Data Analysis Enhancements
Copyright 2007, Information Builders. Slide 48
InfoAssist
Cube Data Analysis Enhancements
Copyright 2007, Information Builders. Slide 49
InfoAssist Driven New Features in Core Engine
Multi-Fact Star Schema For Analytic Ad Hoc
Shipments
Fact Table
YR
CATEGORY
Promotions
Fact Table
Sales
Fact Table
QTR
Geography
BI Portal
Operational Information Empowerment
Copyright 2007, Information Builders. Slide 51
New Business Intelligence Portal
An Information Engagement Platform
 i-Google like End User
engagement experience
 Built with Rich Internet
Application approach
 Consistent ribbon-style
navigation for both building
new portal views and userbased personalization
 Flexible, component based
approach to development
and content customization
Copyright 2007, Information Builders. Slide 52
Copyright 2007, Information Builders. Slide 53
BI Portal
End User Portal Content Customization
Copyright 2007, Information Builders. Slide 54
BI Portal
Development of Portal Views
Copyright 2007, Information Builders. Slide 55
BI Portal
Development of Portal Views
Copyright 2007, Information Builders. Slide 56
BI Portal
Development of Portal Views
Copyright 2007, Information Builders. Slide 57
Thank You