IBM Digital Analytics Next Gen UI/UX

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• IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion.

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Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.

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Improving The User Experience

There’s one key to our future growth:

the client experience

- Ginni Rometty

This is not a user experience…


…this is a user experience


Understand

• Design + Product Management + Development Collaboration• Hills frame the problem and identify opportunities for enhancing the user

experience.

Explore

• Ideation to shift thinking for prioritization of design and engineering scenarios.• Define concepts.

Prototype

• Harden concepts into artifacts to be evaluated and refined into final user interfaces.• Helps to focus the team around core concepts and gain rapid feedback.

Evaluate

• Checkpoint for feedback review with usability tests, sponsor users. Continued feedback cycles for regular iterations.

IBM Design Thinking: Prototyping

IBM Customer Experience Solutions Platform Direction

12 May 20158

Next Generation Digital Analytics

• IBM Design Thinking driven UI/UX update

Journey Analytics

• New service focused on aggregate and individual views of omni-channel customer engagement

Tealeaf on Cloud

• Complete deployment of Tealeaf but as SaaS

Customer Analytics Platform in the Cloud

• Universal Behavior Exchange

• “Analytics Inside”

Improved Usability

Improved Performance

Responsive Design

Unified Digital Analytics

User Experience: Next Generation Digital Analytics

Project Goals:

Theme 1: Improved Usability


Improved Usability: Dynamic Report Building Workflow


Improved Usability: Data Visualization


Improved Usability: Custom Metric Calculator


Improved Usability: Workspaces

Theme 2: Improved Performance

User Experience: Next Generation Digital Analytics UI

Improved Performance:

Simplify & Streamline Navigation More efficient chart / graph widgets

1 2

Move from Flash based UI to HTML 5 with responsive

design

3


Improved Performance: Iterative report development

Refresh report view when:

- Metrics are added / removed

- Breakouts are modified

- Visualizations changed

Theme 3: Responsive Design


Responsive Design: Move from Flash based UI to HTML 5

Theme 4: Unified Digital Analytics


Unified Digital Analytics: Best Practice + Ad Hoc Reporting in one UI

ONEUI

View Best Practices Reports

Create a custom ad-hoc report

Report on real-time metrics with

enhanced visualizations

Perform deeper analysis directly

from Best Practice Reports

Manage common interface for all

digital marketing activities

Benchmark competitive data

within Best Practices and Ad-

Hoc Reports

Unified Digital Analytics: Unify the disparate services and disjointed UI‟s that

span the Digital Analytics suite


New Backend Data Architecture

User Experience: Next Generation Data Architecture

Remove Digital Analytics Limits

Improved Report Query Performance

Unify Digital Analytics & Explore

Project Goals:

Theme 1: Remove Reporting Limits


Remove Limits: Elimination of Explore Credits


Remove Limits: Alleviate restrictions on date ranges for report queries

Theme 2: Improved Query Performance


Improved Queries: Client managed job queue

• Set relative job priority & reorder current job queue

• Automatic disablement of un-used reports

Theme 3:Unify Analytics & Explore

Unified Backend: Best Practice + Ad Hoc Reports from one system



Data Architecture: Unified Backend

1. Consistent Data Retention Policy

• Allow as much data retention as each client requires

• Support back processing for the entirety of the client‟s data retention policy

• All report types support extended historic ad hoc analysis

• Increased duration for any „one-time‟ ad hoc report query

2. Support expanded set of data joins (i.e., ‘breakout’ combinations)

• ex. combine product view w/ product shop and order information

• “or” joins across segment criteria types

IBM Digital Analytics Beta Rollout

Rolling Beta Release Targets: both in terms of clients & functionality*

“Preview” <view; workspace; build hills>

Sponsor Clients Beta 1.0: <Preview + DA report hills>

Sponsor + Beta Test Clients

Beta 2.0: <Beta 1.0 + segment hills>

Select Clients + Business Partners

Beta 3.0 <Beta 2.0 + Best Practice Hills>

Select ClientsGeneral BetaAll Clients

Dec 2014

Mar 2015

June 2015

Apr 2015

May 2015

* All target dates and content are subject to change

Next Generation Digital Analytics Beta Rollout

IBM Digital Analytics Next Gen UI/UX

Presentations & Public Speaking

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