WebFOCUS Now and the Road Ahead

Jim McDermott – Technical Manager, East

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WebFOCUS Now and the Road Ahead

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Analytics and Business Intelligence Market Change

BusinessDriven

Self-service AugmentedAI and Machine

learning

IT-drivenBI

3-5 Years Ago

Augmented Analytics:“an approach that automates insights using machine learning and natural-language generation

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WebFOCUS Now and the Road Ahead

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Analytics and Business Intelligence Market Change

Today

BusinessDriven

Self-service

AugmentedAI and Machine

learning

IT-drivenBI

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WebFOCUS Now and the Road Ahead

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How we see WebFOCUS evolving

• Blended Self-service and Enterprise

• Enhanced Collaboration and Augmented Analytics

• Advanced analytics and Machine-learning Hub

Today

2019-2020

Next 3 Years

BusinessDriven

Self-service AugmentedAI and Machine

learning

IT-drivenBI

2-3 Years from now

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WebFOCUS Now and The Road AheadRoadmap Concentration

UX/UI and Tools Transformation Enabling rapid development and collaboration on analytic content and apps by business users

WebFOCUS Designer: Home, Data, Content, Pages, Portals

Integration with 3rd party Statistical Languages and Machine-Learning functions R, Python, Tensor Flow, Watson

Integration to leverage data science experience

Pre-packaged modules for citizen data scientists

Advancements in Search-based extensions and Collaborative Analytics InfoSearch is a unique “bottom up” approach to analytics

“If you know the data you can find the analysis”

Next steps is to extend search with knowledge of All content, data and metadata

Reduces duplication, powers suggestion engine, enables cross domain searches

Intelligent Objects – Automatic recognition of related content

Advanced Collaboration – Notifications & Augmented Analytics Content Ranking

Notifications - “3 New Dashboards available”

Suggestions – People who ran that also ran this

A.k.a. augmented analytics

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WebFOCUS Designer Overview

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WebFOCUS Designer - Overview and Vision

8205 October 2018 – Designer Release

Single Integrated Web-base Tool Data Management/Preparation Content Design Page/Portal Design

WebFOCUS Designer Components Home Page Data Preparation Content Design Page Design Portal Design

Transformation and Modernization

Integration with Statistical Engines

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Machine Learning and Artificial Intelligence

WebFOCUS Now and The Road Ahead

Analytics Integration for Data Scientists – New Adapters Explanation

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Legacy Big Data Social Desktop Cloud

Data AccessData Integration

Visualize, Report from the analytic output file

Provide input file to 3rd

party analytic scripts

Prepare data on the back end

ComplimentaryAnalyticTechnologies

Output

Input

• Data Science• R, Python, JS

• Watson, API.ai, Tensor Flow

WebFOCUS Portal

Clustering, Correlation, Probability Distributions, Machine Learning, etc.

With 3rd Party Language and Machine-Learning Integration you can:

• Leverage the work of data scientists to add advanced analytics to WebFOCUS applications (e.g. Predict, Forecast, Cluster, etc.)

• Leverage pre-built “machine-learning” modules from libraries like Tensor Flow to add AI functionality to your apps (e.g. Facial Recognition image recognition)

• Use powerful data manipulation capabilities of “purpose-built” languages to scrape unstructured data for nuggets of information. (Sentiment, Phone Numbers, etc.)

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WebFOCUS Now and The Road Ahead

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Sidebar: Rstat vs Rserve and Python Adapters

Rserve and Python Adapters

Requires configuration of a data adapter for R or Python program Program written by knowledgeable programmer Adapter configured via web interface

Programs (scripts) can do anything developer desires Providing it:

Accepts input data set Expects output data set

With additional Rows (forecast) Additional columns (score or prediction)

Results in a function in the “User Function” Library

Rstat

Desktop interface

Does not require R programming

Companion to App Studio

Model and train using point and click interface Must leverage provided predefined models (e.g.

Decision tree, Neural Network, etc.)

Result - Exports to compiled C function in “User Function” library

Search-based Extensions and Intelligent Application Objects

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Intelligent ApplicationObjects

WebFOCUS Now and The Road Ahead

8203 April 2018

Intelligent Application Objects Simplified Development Automatic Filtering Re-Usable Objects/Content Drill to Anywhere From Anywhere

Ask WebFOCUS (a.k.a. – InfoSearch) Integrating Search – Bottom Up Search Type Ahead Index Voice Search (a little later)

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Collaborative Analytics and Development

Portals

InfoAppSearch

Navigation/Drilldown

Content

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WebFOCUS Now and The Road Ahead

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Traditional

Data

Metadata

Content (Reports, Dashboards, InfoApps) Data

Metadata

Content (Reports, Dashboards, InfoApps)• Traditional entry in BI• Top - Down• Know your BI App• Login• Navigate to BI Asset

• InfoSearch entry to BI• Bottom - Up• Know your Data• Data relates to metadata• Metadata to BI Assets

Challenges of Top/Down• Too Many Reports and Dashboards• Propagation of similar or same content

Traditional Access to BI Assets vs InfoSearch

InfoSearch

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WebFOCUS Now and The Road Ahead

“Type Ahead” index asks user to select qualified relationship of the data element

The “Panasonic” that I am looking for is a brand

Then only reports referring to brands will be returned

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Speak or use “type ahead” Index to “research” data

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WebFOCUS Now and The Road Ahead

Greatly simplified UI for Visualizing Data Mobile friendly

Understands and suggest what you might also want to know

Describes in Narrative Text the important insights

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Insights – Visualize, Listen and Understand

Enhanced Collaboration and Augmented Analytics

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WebFOCUS Now and the Road AheadEnhanced Collaboration and Augmented Analytics

What’s new

Trending

Following

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WebFOCUS Now and the Road AheadEnhanced Collaboration and Augmented Analytics

Following

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WebFOCUS Designer

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Collaborative Features – Similar/Same and Related Content List (using InfoSearch)

As you build content

• Turn on Similar/Related

• To see if similar or related content already exists

• Similar means:• Common: Columns,

Measures, Type –Report, Chart Format

• Related means:• Other content you

can drill to

Similar

Related

Similar helps you reduce redundancy and accelerate development.

Related educates the analyst/developer about other content that might show what they are researching in more detail.

Demo

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Questions?