Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

OUTCOME +
AUDIENCE
CENTRIC
ANALYTICS

THE NEXT
PERFORMANCE Keynote:
Michael R Hoffman, Client x Client
FRONTIER mrhoffman@clientxclient.com
Twitter: mrhoffman
Phone: 908.542.1134

ANALYTICS TRANSFORMATION

Today | O+ A Analytics

2000s | Web, Dashboards, Self
Service BI, BI Platforms

1990s | Client / Server , Desktop, Proprietary
Analytic Solutions (Silos)

1970s and 80s | Mainframe Greenbar Reports

Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman

TODAY’S CHALLENGES

Everyone Has BI & BA Big Data Growth

4.1 8x
mean number of BI Data growth due to
systems per social, machine to
company machine, web and
data od data

0
Analytics Failure Rate Information Complexity

70 85
percent of managers
percent of end users
citing burden to
dissatisfied with BI
decision making is
projects
complexity of
tools, data, methods


IMAGINE IF…
YOU COULD ACHIEVE THESE BENEFITS:

REDUCED MORE HIGHLY EASY TO END USER
COSTS FLEXIBILITY AGILITY MOBILITY AUTOMATED IMPLEMENT PRODUCTIVITY

WITH AN ANALYTICS SOLUTION THAT IS:

OUTCOME USER SCALABLE
EFFICIENT
FOCUSED CENTRIC AND ELASTIC


OUTCOME + AUDIENCE CENTRIC =
POWER


O + A ANALYTICS IS…

A NEW APPROACH

DELIVERS HIGHEST VALUE IN SHORTEST TIME

BUILT ON YOUR INVESTMENTS


O+A DELIVERS ON ANALYTICS PROMISE


ANCHOR IN 4 DIFFERENTIATORS

• Outcome Centric – analytics monetized by related
change in outcome: Risk $, Opportunity $, Innovation $

• Audience Centric – Support Individual‟s Information &
Learning Consumption Profiles & Role

• Manage Analytics as Content – Borrow from Apple‟s
Consumer (Audience) Centric Ecosystem to Model Self
Optimizing Analytics Infrastructure

• Leverage Social, Knowledge Management and Design
Thinking


BEST SOLUTION FOR BUSINESS & IT

Gain
Business Top line Operational Reduce market
Innovation
growth Excellence costs share
Objectives

How can I…
…grow revenue?

…meet user/exec demand for mobile BI?

…improve end user experience & satisfaction?

…reduce BI cost and cost per question?

Legacy Life
Resources Customer AutoFinance Operations
Home Claims Business Partner
Business Partner
Claims
Database System
Claims System Systems
System
HR Systems
Insurance
System
Claims System …Big Data
and IT Assets Database Claims


WHY OUTCOME CENTRIC?

By 2014, fewer than 30% of BI initiatives
will align analytic metrics completely with
enterprise business drivers.

Organizations often develop and deploy hindsighted-
oriented metrics and/or query applications focusing on
metrics that users may find interesting, but that don’t
represent the operational or strategic controls used to
facilitate business performance.

Gartner

CLIENTxCLIENT, Proprietary



Analytics
Decision Optimization What’s the best that can happen?
Predictive Analytics What will happen next?
Competitive Advantage

Forecasting What if these trends continue?
Statistical models Why is this happening?

Alerts What actions are needed?
Query/drill down Where exactly is the problem?
Ad hoc reports How many, how often, where?
Standard reports What happened? Outcome?
Degree of Intelligence

O+A DELIVERS RESULTS


ANALYTICS HAS AN AUDIENCE PROBLEM – 8-24%
ADOPTION…
NEED FOR AUDIENCE CENTRIC ANALYTICS


AUDIENCE CENTRIC USER PROFILES
DETERMINE DELIVERY SCOPE*
How you communicate your results to decision makers is just
as important, if not more so, than getting the results
themselves Tom Davenport – Babson College

10% Hands On
Deep Analytics
20% Reporting
Engaged

30% Voice
Activated
40% Reporting
Aware

Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman*Analytic Asset Inventory Deliverable

TO ENSURE ANALYTICS USE AND
RELEVENCE, YOU MUST DELIVER PER END
USER’S LEARNING STYLE
Visual - needs to see text, diagrams, flow
charts, demonstrations.

Auditory - needs to hear, either to listen or to participate
in discussions.

Tactile/Kinesthetic - needs to write, to touch, to do, to
move, to build.

Reflective - needs to think through before doing.

Social - prefers to study with other people.

Solitary - prefers to study alone.

AUDIENCE CENTRIC ANALYTICS FACTORS LEARNING STYLE*
About learning styles: http://gatortracks.pbworks.com/f/social+media.pdf *Analytic Asset Inventory Deliverable

DESIGN BASED ON
AUDIENCE & OUTCOME


WHY MOBILE – WHY AUDIENCE CENTRIC


CLIENTXCLIENT OUTCOME + AUDIENCE
SCOPES & DELIVERS MOBILE
At a recent Aberdeen briefing by Andrew
Borg, the subject of mobile app advantages
surfaced. Survey data taken from 240
enterprises suggest that [overall], the use of
mobile apps designed specifically to help
employees get their work done, increased
productivity by 45%. …

But the kicker in Aberdeen‟s study revealed
that business intelligence data is twice as
likely to be used by enterprise workers if
they’re simply offered a means to access the
data through a mobile device.

AUDIENCE CENTRIC ANALYTICS
MUST BE MANAGED AS CONTENT

Rule # 4
We don‟t pay attention to boring things.

Rule # 10
Vision trumps all other senses.


CONSUMER ORIENTED ANALYTICS
INFORMATION ARCHITECTURE

CxC’s Outcome + Audience Centric Analytics Delivery System
Borrows from Apple’s Successful Model
System

• Browse Content • Browse Content • Delete Content • Find Content
• Play Content • Play Content • Make Playlists • Buy Content
• Rate Content • Rate Content • Stream Content • Buy Applications
• Alter Content • Burn CDs • Subscribe to Content
• Add Content • Etc.


CLIENT X CLIENT OUTCOME + AUDIENCE
ANALYTICS INFORMATION ARCHITECTURE
Focus On Knowledge Worker Preferences & Value

Interact Subscribe Acquire Create
• “ My Goals” Status • “Favorites” • Search • Information
• Any-Screen Access • “Like” • Sensors Integration
• Mobile (BYOD) • Alerts • Subject Areas • ETL and Data
• Rate & Review • My Dashboards • Performance Warehousing/Marts
• Simulations • My Report Views Libraries • Big Data
• Calc‟s & Tools • “Search” • What‟s Popular • App Development
• What If‟s • “People like you…” • Collaboration • Data Quality
• Decision Support • My Playlist • Monetize Assets • Predictive Models
• BPM, CRM, CEM • My Schedule • Algo & Model • Organic Models
• Performance • Distribute Libraries • Cloud: SAAS, PAAS
Management • Knowledge • Sensors
• „Like‟ & „Share‟ Management • Reporting
• Governance & • Video
Compliance • Gamification
• Asset Inventory


O + A ANALYTICS REQUIRES TALENT MIX

“To meet the explosion in channels, devices
and touchpoints, build a team that blends
skills in analysis, programming and user
experience.”

• Forrester


CLIENT X CLIENT’S ANALYTICS ASSET INVENTORY

Gain
Business Top line Operational Reduce market
Innovation
growth excellence costs share
Objectives

 Schematic of enterprise
analytics
processes, data &
systems
 Monetizes each
analytic asset
 Catalogs and
monetizes analytic
assets
 Rationalizes analytics
investments
 Foundation for
knowledge Legacy Life
Analytic Assets Business Auto
Derived Data Home Claims Exec Business Partner
Customer
Claims
Rule in BPM Claims System
Risk Score
Weekly Report Insurance
System Dashboard Claims System
Segment Score … Alert
Database Claims


ANALYTICS ASSET INVENTORY PROFILES
AUDIENCE ANALYTICS PREFERENCES & ROLES

Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman *Analytic Asset Inventory Deliverable

ANALYTIC ASSET INVENTORY REPORTING: EXAMINE ANALYTICS FOR ROI
AND STRATEGIC VALUE
$ Cost

Strategic Value Bubbles represent company‟s individual analytic
assets: reports, dashboard, algorithms, derived data
(i.e. segmentation, NPV, EBIDTA), subscription data;
etc. cataloged in Analytic Asset Inventory


ANALYTICS SATISFACTION VS VALUE

Audience Satisfaction (Avg. End User Score)

Strategic Value
Bubbles represent company‟s individual analytic assets:
reports, dashboard, algorithms, derived data (i.e.
segmentation, NPV, EBIDTA), subscription data; etc. Bubble size = cost; cataloged
in Analytic Asset Inventory


PRODUCT DESCRIPTION: ANALYTICS OF
ANALYTICS

Analytics of Analytics Deliverables

Deliverable Purpose
Domain Scorecard Measure of BI/BA readiness
Return on Analytics Measure of costs and strategic
value
Operational Efficiency Analysis Measure of process automation,
delivery, scheduling efficiency
Satisfaction Index Measure of end user satisfaction,
KPIs
Applied Analytics Gap Analysis Insights into desired outcomes
IT Asset Topography Inventory of technical architecture
Custom Reports


PRODUCT DESCRIPTION: BI/BA/REPORTING
MATURITY PROFILE

BI / BA / Reporting Maturity Assessment Deliverables
• Maturity/Capability Scorecard
• Suggestions and Recommendations:
− High value BI / BA / Reporting initiatives
− Future BI / BA / BA capability upgrades
− Analytic use cases


WHY BASELINE THE CURRENT BI
ECO-SYSTEM?
The primary purpose of the Analytic Asset Inventory is to order and
analyze complex BI / BA / Reporting eco-systems.

A few benefits:
• Helps appraise current BI spend. Cloud, Big
Data, Mobile, BYOD

• Foundation for integration of emerging Decision
Support, Performance Information Insights
Mgmt. KPIs

technologies.
• Enhances communication between
IT, business units, and centers of
excellence.
Business Process Opt.

Business Information Integration
and Mgmt.

• Basis for Analytics Information Analytics
Architecture Roadmap & Reference
Architecture Business Analytics
Insights
Data Governance

Architecture Systems Integration


WHY ANALYTICS ASSET INVENTORY

Top reasons our client’s request Analytics Assets Inventory
Technology (IT) Line of Business/Department BI/BA Centers of Excellence
• Baseline for transition to next • Pinpoint areas to create • Baseline maturity assessment for
generation analytics architecture competitive advantage transition to:
design driven by: − Business process Management
− Elevated end user expectations • Broaden audience benefiting (embedded BI)
− Next generation BI tools through advanced analytics to − Replacing legacy reports
− Big data grow overall performance − Analytics as content
− BYOD − Collaboration
− Mobile • Assess value of current analytics
− Cloud to business outcomes • Improve end user satisfaction

• Bring order to current analytics • Improve end user satisfaction • Bring order to & rationalize
portfolio, reduce reactive and ad- current analytics portfolio, reduce
hoc requests • Reduce exposure to reactive and ad-hoc
performance surprises requests, reduce duplication of
• Assess value of current analytics effort
platform(s)/eco-system, identify • Reduce analytic cycle time
areas to lower costs and increase • Assert leadership role by clearly
efficiencies • Improve analytics usability and understanding current state as
applicability baseline for roadmap to future
• Improve end user satisfaction state vision


PRODUCT DESCRIPTION – ANALYTICS
CATALOG AND TAXONOMY

Catalog and Taxonomy
Deliverables:
• Company‟s Analytics
Catalog
• Analytics Taxonomy
• Standard and custom
reports available


Product Description: End User Consumption Profile

HOW YOU COMMUNICATE YOUR
RESULTS TO DECISION MAKERS IS
JUST AS IMPORTANT, IF NOT MORE
SO, THAN GETTING THE RESULTS
THEMSELVES
Tom Davenport – Babson College


ANALYTICS ASSET INVENTORY PROVIDES
FRAMEWORK FOR NEXT GENERATION
ANALYTICS TECHNICAL & RESOURCE DESIGN
What Why Did it What Could In-Line/Analytics –
Happened? Happen? Happen?
Pre-Compute
Continuous Testing
Enabling Trends
Big Data Approaches
Social/BYOD Access BYOD, Social
Traditional
Hyper Analytics Integration C-Sourcing
Analytics
Microsoft & Google Breakthroughs
R Reporting
In-Memory Analysis
Off-Line Analytic Projects
Columnar database
Cloud Analytic Services Predictive
Scenarios

Through 2013, 20% of organizations will have the skills and
maturity necessary to fully exploit next generation analytics

O+A ANALYTICS VISION

Best Analytics Experience Across
PC, Phone, and Browser Analytics on Your Terms

Online

On-premises

ENTERPRISE
UNIFIED BUSINESS ENTERPRISE
CONTENT COLLABORATION
COMMUNICATIONS INTELLIGENCE SEARCH
MANAGEMENT


Why CLIENTxCLIENT?

DEPTH &
BREADTH OF
SOLUTIONS
ANALYTICS
MANAGEMENT END TO END
INNOVATION CAPABILITY

OUTCOME +
AUDIENCE
DATA ANALYTICS
MANAGEMENT ACCESS TO
EXPERTISE SKILLS

VENDOR
FUTURE
AGNOSTIC
PROOF
(INTEGRATION)
SERVICES


DELIVERING 0+A
ANALYTICS AS A
SERVICE


WHAT CONSTITUTES O+A SERVICES?

CONSULTANTS & STAFFING
ELASTICITY & EFFICIENCY

0+A ANALYTICS
AS A SERVICE

O+A BIG DATA & CLOUD
AS A SERVICE


WHAT CONSTITUTES O+A ANALYTICS?

SOFTWARE
AS A SERVICE

PLATFORM
AS A SERVICE

INFRASTRUCTURE
AS A SERVICE


IS OUTCOME + AUDIENCE ANALYTICS
READY FOR YOU?

SOUND INFORMATION ARCHITECTURE?

DESIGNED TO QUICKLY ANSWER USERS
“NEXT” QUESTION?

MEETS IT AND BUSINESS OBJECTIVES?

CAN USERS NAVIGATE SOLUTION?

WILL O + A WORK WITH MY APPLICATIONS?


OUTCOME + AUDIENCE ANALYTICS
PRINCIPLES

CONFIDENTIALITY

INTEGRITY

INNOVATION

ACCOUNTABILITY


OUTCOME +
AUDIENCE
ANALYTICS
Q&A
CONTACT: MICHAEL HOFFMAN
@908.542.1134 OR
MRHOFFMAN@CLIENTXCLIENT.COM

Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

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