agile data strategy and lean execution

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Why there are so many problems with streamlining data strategy ? What are the major problems ? How do you solve them ? Using an approach based on Agile and Lean Concepts to achieve the goal of actionable data & analytics

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Agile Data Strategy and Lean Execution

Mario Faria

mario.faria@cdo-inc.com @mariofaria

http://www.cdo-inc.com/

Aug 22nd 2014

Agile data strategy and lean execution

August 22, 2014

Moderator: Mario Faria Chief Data Officer, CDO Inc. mario.faria@cdo-inc.com Antanina Kapchonava Project Director, Data Driven Business antanina@datadrivenbiz.com

Participants

Vik Manchanda Chief Information Officer

Mario Faria Chief Data Officer

Mike Jennings Senior Director

Enterprise Data Architecture

mario.faria@cdo-­‐‑inc.com @mariofaria  

h0p://www.cdo-­‐‑inc.com  

•  One of the first Chief Data Officers in the world leading teams focused in Analytics, Data Monetization, Data Quality, Data Governance, Operations and Business Architecture

•  Currently he is the head of CDO, Inc., advising

companies on how to cross the “data & analytics chasm”

•  Worked as a CDO for ServiceSource and Boa

Vista (Equifax) •  Worked for IBM, Accenture and Microsoft,

leading projects related to BI, DW, CRM, Supply Chain, Web Development and Management Consulting

•  His motto is : "If you do not treat people, technology and data as economic assets, they will become liabilities“

Mario Faria Chief Data Officer

Mario Faria

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How to transform data assets into competitive insights, that will drive business decisions and actions, using people,

processes and technologies ?

Mario Faria

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On data and analytics

•  Many problems with streamlining a data strategy •  Major concerns with data management •  How you can overcome the issues •  What we have learned from the data journey

Mario Faria

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The Manifesto for Agile Software Development

•  Individuals and interactions over processes and tools

•  Working software over comprehensive documentation

•  Customer collaboration over contract negotiation

•  Responding to change over following a plan

Mario Faria

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Source : Leading Strategic Initiatives (www.leadingstrategicinitiatives.com)

Mario Faria

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Data, Information, Analytics, Business Intelligence and Performance Management

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The Data Value Chain

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Mario Faria

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The Deming Model : Production Viewed as a System

Mario Faria

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Toyota Production System

Implementing Data Management

Best Practices based on the Lean Principles that came from the

Toyota Manufacturing Process

Mario Faria

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Chief Data Officer (focused on data

management)

Chief Digital Officer (focused on digital

transformation)

Chief Analytics Officer (focused on decision

management initiatives)

The ultimate leader who creates and executes digital, data and analytics strategies

to drive business value Copyright: Mario Faria 2014

The Chief Data / Analytics / Digital Officer roles

How  did  some    

organiza/ons  change  to  a  data  driven  culture  ?  

Mario Faria

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Executive Support

How  AIG  and  Walgreens  implemented  some    of  these  changes  

Michael Jennings : Bio

©2014 Walgreen Co. All rights reserved. Confidential and proprietary information. All rights reserved.

Enterprise Data Strategy Brief 22 August 2014 Mike Jennings

Walgreens Company Overview

Data Opportunities Challenges to Fully Leveraging Data

Defining Enterprise Data Strategy

Why do we need this strategy? Enterprise Data Strategy will help:

Data Strategy Depends on Enterprise Data Management

Data Strategy Depends on Data Governance & Stewardship

Data Strategy Depends on Master Data & Reference Data

Data Strategy Depends on Data Quality

Data Strategy Depends on Enterprise Data Models & Data Integration

Data Strategy Depends on Leveraging Industry & National Standards

SAVE THE DATE!

CDO EXECUTIVE FORUM 2014

NOVEMBER 12, 2014 - NEW YORK, NEW YORKER HOTEL

CUTTING-EDGE RECOMMENDATIONS ON HOW TO:

•  Mobilize your C-suite and prepare your organization for a new data-driven culture •  Translate your enterprise data assets into intelligence by reconsidering your approach to

information management processes •  Reach the consensus between the IT and business units to attain organizational efficiency

and eliminate the dangers of siloed data •  Get a granular view of your data: use analytics to separate clutter from meaningful

information and boost your company’s profitability •  Deliver highly actionable data through enhanced data management and analytics

initiatives

Find out more at: http://www.datadrivenbiz.com/cdoforum/index.php

Call 201-204-1674 or email antanina@datadrivenbiz.com

Register today with discount code WEBINAR0819 and save additional $100

RUTGERS UNIVERSITY, NJ B.A. – Computer Science

COLUMBIA UNIVERSITY, NY

CTA Diploma

UCLA, CA Executive IT & Business Integration

Coaching

Vik Manchanda Chief Information Officer

Affiliations: •  SIPA •  TiE •  No Kid Goes Hungry •  American Cancer Society

AIG Life and A&H Houston, 2012 – Present Senior Vice President, Chief Information Officer AIG Advisor Group Houston, 2009 – 2010 Sr. Consultant ACE Group, LTD. Houston, 2008 – 2009 Executive Vice President, Chief Architect & Data Officer AIG Global Services New York, 2005 – 2008 Vice President, Chief Strategy & Administration Officer AAIG Retirement Services Los Angeles, 2001 – 2005 Vice President, Senior Information Officer AIG Domestic Brokerage Group New York & INDIA, 1996 – 2001 Assistant Vice President, Information Services Group Bear Stearns, Inc.; New York, 1989 – 1996 Lehman Brothers; Citi Group; Suburban Propane; AT&T

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•  Get Facts @ the right time and the right place."

•  Use Facts everytime making crucial business decisions."

•  Preserve Facts."

Winning with Data!

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Big Data Practice

Our approach reverse that ratio offering maximum business value in Revenue generation, Operational efficiency and Compliance

Business Intelligence

Data Mining

OAP

BPR Benchmarking

Data Warehousing

Analytics

Reporting

Traditionally 75% of effort spent in data aggregation and transformation yields 25% in benefits

Big Data

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Three Good Winning Examples:

ü  At AIG, we use data gathered from physical exam and blood results and pass them through a model jointly created along with John Hopkins University to predict mortality rates and based upon that we underwrite insured, resulting in significant reduction in claims & increase in net profits.

ü  At Ace, we created a model to apply to the insured to predict their risk level and accordingly either underwrote them with appropriate rate class or denied coverage. Same model was used to detect fraudulent claims.

ü  At AIG, we are using a combination of mobile and data strategy to converge distribution channels such that each agent is able to offer multiple lines of businesses to the customers, as opposed to traditionally just creating leads for the other lines of business. Further we are creating incentives for cross-selling and upselling that are visibly working.

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•  Link Compensation to Targets"

•  Create Commission Transparency"

•  Allow Margin Control at Point of Sale"

•  Stricter Compliance and Governance"

•  Yield Higher Revenues""

Incent The Right Behavior

Debate  

Participants

Vik Manchanda Chief Information Officer

Mario Faria Chief Data Officer

Mike Jennings Senior Director

Enterprise Data Architecture

Q&A  

Participants

Vik Manchanda Chief Information Officer

Mario Faria Chief Data Officer

Mike Jennings Senior Director

Enterprise Data Architecture

Conclusions  

Agile Data Strategy and Lean Execution

Mario Faria

mario.faria@cdo-inc.com @mariofaria

http://www.cdo-inc.com/

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