how knowledge management and big data multiply the impact of ci

The Intelligence Collaborativehttp://IntelCollab.com #IntelCollab

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How Knowledge Management and Big Data Multiply the

Impact of CI

A Complimentary Webinar from Aurora WDC

12:00 Noon Eastern /// Wednesday 14 December 2016

~ featuring ~

Scott Leeb Derek Johnson


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Scott Leeb

Scott Leeb is the Engagement Director for the Iknow, LLC. Over the past 15 years, he has created, managed and grown the global business intelligence programs at four Fortune 500 companies (Prudential Retirement, The McGraw-Hill Companies, KPMG and Ingram Micro) and a leading international philanthropy (The Rockefeller Foundation). In 2011 he served as President of SCIP. He is currently on the faculty of the University of Johannesburg.

Scott has spoken in Europe, Asia, Africa, Australia, North and South America on a wide range of topics including competitive intelligence, business intelligence, market intelligence, strategy and knowledge management. He began his career as a senior intelligence analyst for the US Army, specializing in East Asian political-military affairs. Scott holds MAs from The Australian National University and Columbia University, a BA from Yale University and a language certificate from Beijing University.

Email: [email protected]

The Intelligence Collaborative is the online learning and networking community powered by Aurora WDC, our clients, partners and other friends and dedicated to exploring how to apply intelligence methods to solve real-world business problems.

Apply for a free 30-day trial membership at http://IntelCollab.com or learn more about Aurora WDC at http://AuroraWDC.com.


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Copyright © 2016 by Iknow LLC. Company confidential materials. Do not copy or distribute.

Golden Age of Competitive Intelligence


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Agenda

What is Big Data and why is it important

Role of knowledge management in Big Data

Critical Role of the competitive intelligence (CI) function

How to position the CI function for greater success


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A Definition(s) Extremely large data sets that may be analyzed computationally to reveal patterns,

trends, and associations, especially relating to human behavior and interactions.

Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information.

Big data is a collection of data from traditional and digital sources inside and outside your company that represents a source for ongoing discovery and analysis.

Big data is a buzzword meaning a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques.

What is Big Data


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What is Big Data

Perhaps it is defined by statistics Data is growing faster than ever before and by the year 2020, about 1.7

megabytes of new information will be created every second for every human being on the planet

More data has been created in the past two years than in the entire previous history of the human race.

50 million tweets per day (Twitter), 20 hours of video uploaded every minute (YouTube) and 2.9 million emails sent every second

At the moment, less than 0.5% of all data is ever analyzed and used


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What is Big Data

Perhaps it is defined by dimensions



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Big Data @ Work


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Key Benefits of Big Data

Big Data enables organizations to leverage both conventional and unconventional data points (such as unstructured text) - information that was previously ignored because there was no reasonable way to process it.

The result is:

1. New decision making

2. Better decision making

3. New products and services


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Knowledge Management Optimizes Big Data

Integrate and organize big data

Knowledge Management helps organizations derive greater value from Big Data



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Knowledge Management Optimizes Big Data

Provides efficient classification tools to augment human tagging

Sheer volume of data requires and organization schema

Enhances findability and navigation

Data validation

Taxonomy and Metadata


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Putting the Pieces Together

Competitive Intelligence serves a critical role in “Sense making” of Big Data

BIG DATA

KM

CI


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How Do We Ride the Big Data Wave?


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Best Practices for “Riding the Wave”

Promote data discipline

Increase vigilance

Expand our skill set

Encourage outreach

Think differently

Five essential activities for success:


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Promote Data Discipline

Bad DataData

ManagementSystem

BadDecisions

Right DataData

ManagementSystem

GoodDecisions

At the core of Big Data is right data


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Increase Vigilance

:

Need to constantly monitor the technological landscape for tools that address the many dimensions of big data:

Sources (traditional/non-traditional; primary/secondary)

Tools (visualization, predictive analytics, reporting, NLP)

Computational capabilities (exascale computing)

Modelling techniques (schema creation, semantic metadata)

Organizations need to dedicate resources to monitor and respond to the changing environment


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Big Data Landscape


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Expand Our Skill Set

:

Solving big data problems requires people with new skill sets:


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Develop the Right Skills


CI professionals have many of these skill sets:The Intelligence Cycle

Metrics and measurement Software savvy Sensitivity analysis

Dissemination

Collection

Planning and Directions

Analysis and Production

KITs

Intelligence Users and Decision Makers

Information Storage and Processing

Data warehousing OLAP ETL

Multi source Coding/programming Data cleansing

Media savvy Multi platform Culturally sensitive

Linguistics Statistics Data mining


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Encourage OutreachLeveraging data often means working across functions like IT,

engineering, finance, research and development

President

Strategy

Market Research

Business Intelligence

Engineering

NPD

Central Lab

Information Technology

Hardware

Software

Finance

Purchasing

Risk Management

R&D

Research

Design



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Think Differently

People need to change their mindset to take advantage of Big Data opportunities:

Questions raised

Patterns uncovered

Correlations observed

Insights gained

Problems solved


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Best Practices for “Riding the Wave”

Promote data discipline

Increase vigilance

Expand our skill set

Encourage outreach

Think differently

Five essential activities for success:


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Questions


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Thank you! Now how about a little Q&A?

Email: [email protected]: www.iknow.us

The Intelligence Collaborative is the online learning and networking community powered by Aurora WDC, our clients, partners and other friends and dedicated to exploring how to apply intelligence methods to solve real-world business problems.

Apply for a free 30-day trial membership at http://IntelCollab.com or learn more about Aurora WDC at http://AuroraWDC.com. See you next time!