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OUTCOME + AUDIENCE CENTRIC ANALYTICS THE NEXT PERFORMANCE FRONTIER Keynote: Michael R Hoffman, Client x Client [email protected] Twitter: mrhoffman Phone: 908.542.1134

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

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The solution to 20 yrs of failed BI implementations, 8-24% user adoption and wasting end users and management's time and money. Analytics and BI investment continues to be top of Gartner, Info week, Forrester companies to-do lists, but BI fails to deliver - until now. Read and comment on Outcome + Audience Centric BI designed to ensure knowledge worker and enterprise performance enhancement.

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Page 1: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

OUTCOME + AUDIENCE CENTRIC ANALYTICS

THE NEXT PERFORMANCE FRONTIER

Keynote:Michael R Hoffman, Client x [email protected]: mrhoffmanPhone: 908.542.1134

Page 2: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

ANALYTICS TRANSFORMATION

1970s and 80s | Mainframe Greenbar Reports

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

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

Today | O+ A Analytics

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Page 3: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

Everyone Has BI & BA

4.

1

Big Data Growth

8x0Analytics Failure Rate

70

Information Complexity

85percent of end users dissatisfied with BI projects

percent of managers citing burden to decision making is complexity of tools, data, methods

Data growth due to social, machine to machine, web and data od data

mean number of BI systems per company

TODAY’S CHALLENGES

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Page 4: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

IMAGINE IF…

YOU COULD ACHIEVE THESE BENEFITS:

REDUCED COSTS FLEXIBILITY

MORE MOBILITY

EASY TO IMPLEMENTAGILITY

HIGHLY AUTOMATED

END USERPRODUCTIVI

TY

WITH AN ANALYTICS SOLUTION THAT IS:

EFFICIENTUSER

CENTRICOUTCOMEFOCUSED

SCALABLE AND ELASTIC

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Page 5: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

OUTCOME + AUDIENCE CENTRIC = POWER

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Page 6: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

O + A ANALYTICS IS…

A NEW APPROACH

DELIVERS HIGHEST VALUE IN SHORTEST TIME

BUILT ON YOUR INVESTMENTS

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Page 7: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

O+A DELIVERS ON ANALYTICS PROMISE

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Page 8: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

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

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Page 9: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

BEST SOLUTION FOR BUSINESS & IT

…grow revenue?

…meet user/exec demand for mobile BI?

…improve end user experience & satisfaction?

How can I…

BusinessObjectives

Innovation

Top line growth

Operational Excellence

Reduce costs

Resources and IT Assets

Gain market share

…Legacy Claims Database

Home Claims System

Business Partner Claims System

AutoClaims System

LifeInsuranceClaims

Big DataCustomer Database

Operations Systems

Business Partner System

Finance System

HR Systems

…reduce BI cost and cost per question?

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Page 10: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

CLIENTxCLIENT, Proprietary

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

WHY OUTCOME CENTRIC?

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Page 11: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

WHY OUTCOME CENTRIC?

AnalyticsWhat’s the best that can happen?

What will happen next?

What if these trends continue?

Why is this happening?

What actions are needed?

Where exactly is the problem?

How many, how often, where?

What happened?

Co

mp

etit

ive

Ad

van

tag

e

Degree of Intelligence

Outcome?

Decision Optimization

Predictive Analytics

Forecasting

Statistical models

Alerts

Query/drill down

Ad hoc reports

Standard reports

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Page 12: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

WHY OUTCOME CENTRIC?

O+A DELIVERS RESULTS

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Page 13: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

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

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Page 14: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

AUDIENCE CENTRIC USER PROFILES DETERMINE DELIVERY SCOPE*

40% Reporting Aware

10% Hands On Deep Analytics

20% Reporting Engaged

30% Voice Activated

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

*Analytic Asset Inventory DeliverableCopyright ClientXClient contact [email protected] Twitter: mrhoffman

Page 15: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

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.

*Analytic Asset Inventory Deliverable

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

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Page 16: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

DESIGN BASED ON AUDIENCE & OUTCOME

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Page 17: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

WHY MOBILE – WHY AUDIENCE CENTRIC

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Page 18: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

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.

CLIENTXCLIENT OUTCOME + AUDIENCE SCOPES & DELIVERS MOBILE

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Page 19: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

Rule # 4We don’t pay attention to boring things.

Rule # 10Vision trumps all other senses.

AUDIENCE CENTRIC ANALYTICS MUST BE MANAGED AS CONTENT

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Page 20: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

CONSUMER ORIENTED ANALYTICS INFORMATION ARCHITECTURE

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

• Browse Content• Play Content• Rate Content

• Browse Content• Play Content• Rate Content• Alter Content• Add Content

• Find Content• Buy Content• Buy Applications• Subscribe to Content

Acquire

ManageInteract

System

• Delete Content• Make Playlists• Stream Content• Burn CDs• Etc.

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Page 21: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

CLIENT X CLIENT OUTCOME + AUDIENCE ANALYTICS INFORMATION ARCHITECTURE

Focus On Knowledge Worker Preferences & Value

Interact AcquireSubscribe

• “ My Goals” Status

• Any-Screen Access

• Mobile (BYOD)• Rate & Review• Simulations• Calc’s & Tools• What If’s• Decision

Support• BPM, CRM, CEM• Performance

Management• ‘Like’ & ‘Share’

Create

• “Favorites”• “Like”• Alerts• My Dashboards• My Report Views• “Search”• “People like

you…”• My Playlist• My Schedule• Distribute

• Search• Sensors• Subject Areas• Performance

Libraries• What’s Popular• Collaboration• Monetize

Assets• Algo & Model

Libraries• Knowledge

Management• Governance &

Compliance• Asset Inventory

• Information Integration

• ETL and Data Warehousing/Marts

• Big Data• App Development• Data Quality• Predictive Models• Organic Models• Cloud: SAAS,

PAAS• Sensors • Reporting• Video• Gamification

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Page 22: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

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

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Page 23: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

CLIENT X CLIENT’S ANALYTICS ASSET INVENTORY

BusinessObjectives

Innovation

Top line growth

Operational excellence

Reduce costs

Analytic Assets

Gain market share

…Legacy Claims Database

Home Claims System

Business Partner Claims System

AutoClaims System

LifeInsuranceClaims

Schematic of enterprise analytics processes, data & systems

Monetizes each analytic asset

Catalogs and monetizes analytic assets

Rationalizes analytics investments

Foundation for knowledge

AlertBusiness Rule in

BPM

Weekly Report

Customer Segment

Score

Derived Data Risk Score

Exec Dashboard

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Page 24: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

ANALYTICS ASSET INVENTORY PROFILES AUDIENCE ANALYTICS PREFERENCES & ROLES

*Analytic Asset Inventory DeliverableCopyright ClientXClient contact [email protected] Twitter: mrhoffman

Page 25: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

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

$ C

ost

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

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Page 26: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

Audie

nce

Sati

sfact

ion (

Avg. End U

ser

Sco

re)

Strategic ValueBubbles 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

ANALYTICS SATISFACTION VS VALUE

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Page 27: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

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

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Page 28: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

PRODUCT DESCRIPTION: BI/BA/REPORTING MATURITY PROFILE

• Maturity/Capability Scorecard• Suggestions and Recommendations:

− High value BI / BA / Reporting initiatives− Future BI / BA / BA capability upgrades− Analytic use cases

BI / BA / Reporting Maturity Assessment Deliverables

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Page 29: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

WHY BASELINE THE CURRENT BI ECO-SYSTEM?

A few benefits: • Helps appraise current BI spend.• Foundation for integration of emerging

technologies.• Enhances communication between IT,

business units, and centers of excellence.

• Basis for Analytics Information Architecture Roadmap & Reference Architecture

The primary purpose of the Analytic Asset Inventory is to order and analyze complex BI / BA / Reporting eco-systems.

Business Analytics

Cloud, Big Data, Mobile,

BYODInformation

Insights

Information Integration and Mgmt.

Data Governance

Systems IntegrationArchitecture

Business Analytics Insights

Business Process Opt.

Decision Support,

Performance Mgmt. KPIs

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Page 30: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

WHY ANALYTICS ASSET INVENTORY

Technology (IT)

• Baseline for transition to next generation analytics architecture design driven by:− Elevated end user

expectations− Next generation BI tools− Big data − BYOD− Mobile − Cloud

• Bring order to current analytics portfolio, reduce reactive and ad-hoc requests

• Assess value of current analytics platform(s)/eco-system, identify areas to lower costs and increase efficiencies

• Improve end user satisfaction

• Baseline maturity assessment for transition to:− Business process

Management (embedded BI)

− Replacing legacy reports− Analytics as content− Collaboration

• Improve end user satisfaction

• Bring order to & rationalize current analytics portfolio, reduce reactive and ad-hoc requests, reduce duplication of effort

• Assert leadership role by clearly understanding current state as baseline for roadmap to future state vision

• Pinpoint areas to create competitive advantage

• Broaden audience benefiting through advanced analytics to grow overall performance

• Assess value of current analytics to business outcomes

• Improve end user satisfaction

• Reduce exposure to performance surprises

• Reduce analytic cycle time

• Improve analytics usability and applicability

Top reasons our client’s request Analytics Assets InventoryLine of

Business/DepartmentBI/BA Centers of

Excellence

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Page 31: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

PRODUCT DESCRIPTION – ANALYTICS CATALOG AND TAXONOMY

• Company’s Analytics Catalog

• Analytics Taxonomy• Standard and custom

reports available

Catalog and Taxonomy Deliverables:

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Page 32: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

HOW YOU COMMUNICATE YOUR RESULTS TO DECISION MAKERS IS JUST AS IMPORTANT, IF NOT MORE SO, THAN GETTING THE

RESULTS THEMSELVESTom Davenport – Babson College

Product Description: End User Consumption Profile

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Page 33: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

ANALYTICS ASSET INVENTORY PROVIDESFRAMEWORK FOR NEXT GENERATION ANALYTICS TECHNICAL & RESOURCE DESIGN

TraditionalAnalytics

In-Line/Analytics – Pre-Compute Continuous Testing

Off-Line Analytic Projects

BYOD, SocialC-Sourcing

Predictive Scenarios

Reporting

Enabling TrendsBig Data Approaches

Social/BYOD Access

Hyper Analytics Integration

Microsoft & Google Breakthroughs

R

In-Memory Analysis

Columnar database

Cloud Analytic Services

What Happened?

Why Did it Happen?

What Could Happen?

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

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Page 34: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

O+A ANALYTICS VISION

BUSINESS INTELLIGENCE

ENTERPRISE CONTENT

MANAGEMENTCOLLABORATION ENTERPRISE

SEARCH

Best Analytics Experience Across PC, Phone, and Browser

On-premises

Online

Analytics on Your Terms

UNIFIED COMMUNICATION

S

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Page 35: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

OUTCOME +AUDIENCEANALYTICS

DEPTH & BREADTH OF SOLUTIONS

END TO ENDCAPABILITY

ACCESS TO SKILLS

FUTURE PROOF

SERVICES

VENDOR AGNOSTIC

(INTEGRATION)

DATAMANAGEMENT

EXPERTISE

ANALYTICSMANAGEMENT

INNOVATION

Why CLIENTxCLIENT?

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Page 36: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

DELIVERING 0+A ANALYTICS AS A SERVICE

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Page 37: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

WHAT CONSTITUTES O+A SERVICES?

CONSULTANTS & STAFFINGELASTICITY & EFFICIENCY

0+A ANALYTICSAS A SERVICE

O+A BIG DATA & CLOUD AS A SERVICE

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Page 38: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

WHAT CONSTITUTES O+A ANALYTICS?

SOFTWAREAS A SERVICE

PLATFORMAS A SERVICE

INFRASTRUCTUREAS A SERVICE

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Page 39: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

IS OUTCOME + AUDIENCE ANALYTICS READY FOR YOU?

SOUND INFORMATION ARCHITECTURE?

DESIGNED TO QUICKLY ANSWER USERS “NEXT” QUESTION?

CAN USERS NAVIGATE SOLUTION?

WILL O + A WORK WITH MY APPLICATIONS?

MEETS IT AND BUSINESS OBJECTIVES?

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Page 40: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

OUTCOME + AUDIENCE ANALYTICS PRINCIPLES

CONFIDENTIALITY

INTEGRITY

INNOVATION

ACCOUNTABILITY

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Page 41: Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

OUTCOME +AUDIENCE ANALYTICS

Q & A

CONTACT: MICHAEL HOFFMAN @908.542.1134 OR [email protected]