Becoming a cognitive business is a journey, not a destination. A cognitive analytics culture is not something you can just buy or install. Although the right technology is crucial, its true value arises when the organizational mindset changes. Many organizations have learned to embrace analytics, but embracing cognitive is another step entirely, and it’s one that may be even more challenging. However, the possibilities are endless and the potential rewards make it worthwhile.
Be Digital or Die - Predictive Analytics for Digital TransformationFintricity
A look at leveraging big data and predictive analytics for digital transformation. This deck was presented at the Predictive Analytics & Innovation Summit in London. 10th May 2016, by Alpesh Doshi, Founder of Fintricity.
Be Digital or Die - Predictive Analytics for Digital TransformationFintricity
A look at leveraging big data and predictive analytics for digital transformation. This deck was presented at the Predictive Analytics & Innovation Summit in London. 10th May 2016, by Alpesh Doshi, Founder of Fintricity.
360 metadata - crucial for digital marketing - framework for youHeimo Hänninen
Digital Marketing requires high quality metadata about: your consumers, your products, product data and marketing content, your partners, your sales activities and pricing, to mention a few. Linked Open Data (LOD) and semantic technologies are robust, yet flexible way of merging and managing metadata for marketing from different sources. With LOD you can also realize Enterprise Linked Data in wider scope.
Gramener is always on the lookout for talent who like to work with numbers and aspire to be the Algorithm Translators.
This deck is presented to cohorts at IIM's and other B School as part of Gramener company overview session.
How Human Resources processes are improved by Advanced Analytics and Big DataCapgemini
Internal mobility, recruitment, career development, life balance : Big Data and Analytics provide new insights for HR processes. Discover the innovative solution developed by Capgemini and IBM to support companies of all sizes in the optimal management
of these challenges. This new approach is leveraged by natural language processing, machine learning and data visualization. The solution helps executives to streamline HR processes, save time and reduce costs. Presented at IBM Insight 2015.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
2013 Data Governance Professionals Organization (DGPO) Digital River WebinarDeepak Bhaskar, MBA, BSEE
Hosted by the Data Governance Professionals Organzation (DGPO) for webinar attendees. Successful Data Governance at Digital River. 2013 DGIQ Data Governance Best Practice Award: Finalist
How to make data-driven interactive PowerPoint presentations for operationsGramener
Interactive data-driven presentations are a new way of presenting data. They allow the presenter and the audience to engage actively and drill into the data within PowerPoint.
Author: S. Anand - CEO, Gramener
Check out the full webinar on the topic: https://info.gramener.com/interactive-powerpoint-for-operations
Your business has systems producing data. You need to get and analyse that data and report it to the right people at the right time so they can act on it. Maybe you also need to scale up your current BI, reduce costs and eliminate system bottlenecks. One thing is sure: Business Intelligence is now essential to company decision-making, it drives every business.
Some topics covered:
3 Fundamental barriers to BI.
BI Wins: Top 8 results we see from great BI.
Making your ROI case: Know your audience.
11 BI Goals to consider.
"If Business Intelligence distribution is the lifeblood of an enterprise, its absence is the equivalent of strangulation. It’s not just about producing the right stuff. It’s about getting that stuff to the right person at the right time."
Building an Effective & Extensible Data & Analytics Operating ModelCognizant
Building an effective and scalable operating model requires a strong basis in data and analytics management. Creating such an operating model is a step-by-step process, as outlined here.
Embracing Digital Technology: A New Strategic ImperativeCapgemini
New research from Capgemini Consulting and MIT Sloan Management Review reveals why organizations are struggling to drive Digital Transformation and the need for C-level leadership.
The study – involving over 1,500 executives in 106 countries – reveals that while the potential opportunity of Digital Transformation is absolutely clear, the journey to get there is not.
Modern Marketing Model (M3) - 1 year onEconsultancy
A 12-month timeline of Econsultancy's Modern Marketing Model (M3) which fuses digital and classic marketing into one future-facing framework. M3 informs marketing’s remit, the required competencies and organisational design to define marketing in the digital age
Slide deck from a webinar presented by Earley Information Science on "MDM - The Key to Successful Customer Experience Management." Featured speaker is EIS Director of Delivery Services, Tim Barnes.
Predictive analytic models are not new within many analytical organizations. However, the use of predictive analytics is growing rapidly. Data-driven decision-making initiatives are compelling more and more enterprises to move their analytics efforts beyond the basics. Enterprises must go from measurement and reporting to predictions and decision management. With ever-increasing amounts of historical data ready for mining, the right predictive analytic models can help an enterprise understand future behavior – adherence to medical prescriptions, increased or decreased spending, loan repayment, and more. By driving better decision-making, such insights can be transformative. Join us as we look into best-practices for building a predictive enterprise, technology tips for using and implementing predictive analytics tools, and guidelines for building predictive models.
These slides--based on the webinar hosted by leading IT analyst firm Enterprise Management Associates (EMA) and Digitate--provide insights into the impact of machine learning on managing workload automation.
The Big Trends in Business Intelligence Competency CentersSAP Analytics
Slides by SAP Evangelist Timo Elliott on trends in business intelligence (BI) competency centers, presented at SAPinsider #BI2016 and #HANA2016 in Las Vegas.
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive eraIBM Analytics
What does it take to drive Innovation in the Cognitive Era? Bob Picciano, Senior Vice President IBM Analytics and Inderpal Bhandari, Global Chief Data Officer, IBM gave this presentation to the CDOs and data professionals in attendance at the IBM Chief Data Officer Strategy Summit in Fall of 2016.
Learn more about the role of CDO: http://ibm.co/2cXasXy
360 metadata - crucial for digital marketing - framework for youHeimo Hänninen
Digital Marketing requires high quality metadata about: your consumers, your products, product data and marketing content, your partners, your sales activities and pricing, to mention a few. Linked Open Data (LOD) and semantic technologies are robust, yet flexible way of merging and managing metadata for marketing from different sources. With LOD you can also realize Enterprise Linked Data in wider scope.
Gramener is always on the lookout for talent who like to work with numbers and aspire to be the Algorithm Translators.
This deck is presented to cohorts at IIM's and other B School as part of Gramener company overview session.
How Human Resources processes are improved by Advanced Analytics and Big DataCapgemini
Internal mobility, recruitment, career development, life balance : Big Data and Analytics provide new insights for HR processes. Discover the innovative solution developed by Capgemini and IBM to support companies of all sizes in the optimal management
of these challenges. This new approach is leveraged by natural language processing, machine learning and data visualization. The solution helps executives to streamline HR processes, save time and reduce costs. Presented at IBM Insight 2015.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
2013 Data Governance Professionals Organization (DGPO) Digital River WebinarDeepak Bhaskar, MBA, BSEE
Hosted by the Data Governance Professionals Organzation (DGPO) for webinar attendees. Successful Data Governance at Digital River. 2013 DGIQ Data Governance Best Practice Award: Finalist
How to make data-driven interactive PowerPoint presentations for operationsGramener
Interactive data-driven presentations are a new way of presenting data. They allow the presenter and the audience to engage actively and drill into the data within PowerPoint.
Author: S. Anand - CEO, Gramener
Check out the full webinar on the topic: https://info.gramener.com/interactive-powerpoint-for-operations
Your business has systems producing data. You need to get and analyse that data and report it to the right people at the right time so they can act on it. Maybe you also need to scale up your current BI, reduce costs and eliminate system bottlenecks. One thing is sure: Business Intelligence is now essential to company decision-making, it drives every business.
Some topics covered:
3 Fundamental barriers to BI.
BI Wins: Top 8 results we see from great BI.
Making your ROI case: Know your audience.
11 BI Goals to consider.
"If Business Intelligence distribution is the lifeblood of an enterprise, its absence is the equivalent of strangulation. It’s not just about producing the right stuff. It’s about getting that stuff to the right person at the right time."
Building an Effective & Extensible Data & Analytics Operating ModelCognizant
Building an effective and scalable operating model requires a strong basis in data and analytics management. Creating such an operating model is a step-by-step process, as outlined here.
Embracing Digital Technology: A New Strategic ImperativeCapgemini
New research from Capgemini Consulting and MIT Sloan Management Review reveals why organizations are struggling to drive Digital Transformation and the need for C-level leadership.
The study – involving over 1,500 executives in 106 countries – reveals that while the potential opportunity of Digital Transformation is absolutely clear, the journey to get there is not.
Modern Marketing Model (M3) - 1 year onEconsultancy
A 12-month timeline of Econsultancy's Modern Marketing Model (M3) which fuses digital and classic marketing into one future-facing framework. M3 informs marketing’s remit, the required competencies and organisational design to define marketing in the digital age
Slide deck from a webinar presented by Earley Information Science on "MDM - The Key to Successful Customer Experience Management." Featured speaker is EIS Director of Delivery Services, Tim Barnes.
Predictive analytic models are not new within many analytical organizations. However, the use of predictive analytics is growing rapidly. Data-driven decision-making initiatives are compelling more and more enterprises to move their analytics efforts beyond the basics. Enterprises must go from measurement and reporting to predictions and decision management. With ever-increasing amounts of historical data ready for mining, the right predictive analytic models can help an enterprise understand future behavior – adherence to medical prescriptions, increased or decreased spending, loan repayment, and more. By driving better decision-making, such insights can be transformative. Join us as we look into best-practices for building a predictive enterprise, technology tips for using and implementing predictive analytics tools, and guidelines for building predictive models.
These slides--based on the webinar hosted by leading IT analyst firm Enterprise Management Associates (EMA) and Digitate--provide insights into the impact of machine learning on managing workload automation.
The Big Trends in Business Intelligence Competency CentersSAP Analytics
Slides by SAP Evangelist Timo Elliott on trends in business intelligence (BI) competency centers, presented at SAPinsider #BI2016 and #HANA2016 in Las Vegas.
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive eraIBM Analytics
What does it take to drive Innovation in the Cognitive Era? Bob Picciano, Senior Vice President IBM Analytics and Inderpal Bhandari, Global Chief Data Officer, IBM gave this presentation to the CDOs and data professionals in attendance at the IBM Chief Data Officer Strategy Summit in Fall of 2016.
Learn more about the role of CDO: http://ibm.co/2cXasXy
The Intelligent Enterprise: How Companies are Using Cognitive Computing to Dr...Susanne Hupfer, Ph.D.
Presented by Susanne Hupfer and Nancy Pearson at IBM World of Watson Conference, Oct. 2016.
Wondering how and why forward-thinking businesses are already adopting cognitive computing and artificial intelligence technologies? Curious about the top business challenges organizations are tackling with cognitive computing? The "IBM Cognitive Study," which surveyed 600 leaders and decision-makers from around the world, provides answers to these questions and more. About 70% of decision-makers say that cognitive computing is extremely important to their business strategy and success. Learn how smart companies are becoming cognitive businesses, and how they're already driving tangible results and ROI.
How much time do you spend mashing up web analytics data vs. looking for data insights? Your Analytics Site automates the data extraction form multiple marketing channels, including WebTrends, Google Analytics, Twitter, YouTube, Slideshare and Flickr with more be added. Each dashboard is customized to satisfy each clients specific business needs. What you get, one cohesive, actionable and visually interactive reporting mechanism for your all your analytics.
We have decided to go for a special issue on “The 10 Most Booming SaaS Solution Providers 2018”. It will walk you through a list of companies which have proved their substance with their innovatory services. On the Cover of the issue, we have featured Socialbakers, ‘One And All’ SaaS Solution Provider for all digital marketing queries.
IBM Cognos Social Media Analytic Solution - G A InfoMartGA InfoMart Ltd
IBM Cognos Social Media Analytic Solution helps you to analyse the voice of your customer on any user generated content like blog, forum, Facebook Page...etc, so you could easy identify:
1. Who the key influencer - some review/blog writer got 3000 page view in a day, can you leverage him?
2. What's the evolving topic - what's mostly mentioned topic while the user discussing your product/services?
3. what's the best time and best channel to release news?
Check more details in the slide and you will know how to unveil the hidden gems!
Thanks for the videos! Management Information Systems. http://toptenmba.com
See full list of MIS Videos: https://www.youtube.com/watch?v=51uGOkJrqD8&list=PLRYuVYJhTowQx144mVepzY_ZEL5-frcBh
Free MIS Ebooks 2016: https://drive.google.com/drive/u/1/folders/0ByL8IO2RG9cVZDZ6QWhiWVI0bms
Free Case Study Guides and Suggested Answers:http://www.topten.edu.vn/mba-cases/54-mba-management-information-systems
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Management Information Systems,
Popular MIS cases,
MIS,
Lectures,
Case study,
MIS Case study,
MIS Lectures,
MBA MIS course,
Management Information Systems lectures,
MIS lectures,
What is Management Information Systems,
Understanding Management Information System,
Overview of Management Information Systems,
MIS Movies,
business intelligence,
SCM, CRM, ERP,
building information systems,
clouds,
knowledge management,
IS development,
e-government,
Industry 4.0,
mobile commerce,
toptenmba,
local commerce,
social commerce,
emarketing,
has gone Google,
digital marketing,
laudon,
what is electronic commerce,
overview of ecommerce,
ecommerce lectures,
ecommerce case study,
IT Project management,
Agile methodology,
Waterfall,
IS Management,
IS Security,
Social media,
Managing Global Systems,
Managing IT Projects,
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bai giang HTTT,
bai giang HTTTQL,
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5 Must Haves for Launching a Successful Mobile ProductRobert Woo
Why do so many mobile app launches fail? How can you make sure your app succeeds from day one? Rocket Farm Studios and TechCXO hosted a joint event that taught Boston executives the right way to launch their mobile products.
Analytics in Action: Embedded Analytics, EverywhereAggregage
What's the next big trend in analytics software and applications? You've probably used it without even knowing: embedded reporting and analytics. Software development teams more often now are embedding 3rd party analytics solutions into their products and applications to let them focus on other core areas of their software. They also want to provide what their users ask for: reporting and analytics from within the context of the applications they are already using. Dean Yao will talk you through powerful strategies and best practices in embedded reporting, dashboards and analytics that will add value to your products and applications while giving you an analytics partner you can rely on. Empower users with better data presentation and exploration for deeper insights into their data.
Analytics in Action: Embedded Analytics, EverywhereHannah Flynn
What's the next big trend in analytics software and applications? You've probably used it without even knowing: embedded reporting and analytics. Software development teams more often now are embedding 3rd party analytics solutions into their products and applications to let them focus on other core areas of their software. They also want to provide what their users ask for: reporting and analytics from within the context of the applications they are already using.
Dean Yao will talk you through powerful strategies and best practices in embedded reporting, dashboards and analytics that will add value to your products and applications while giving you an analytics partner you can rely on. Empower users with better data presentation and exploration for deeper insights into their data.
Introduction to Predictive Analytics with IBM SPSS. Predictive analytics helps organizations use their data to make better decisions by allowing them to draw reliable, data-driven conclusions about current conditions and future events.
Predictive analytics encompasses a variety of techniques such as Statistics, Game theory and Data mining to do this analysis,
and make these predictions.
So by deploying predictive analytics, organizations are addressing their business issues proactively to get the best outcomes.
The Data Economy: 2016 Horizonwatch Trend BriefBill Chamberlin
The slides provide a quick overview of the Data Economy trend. The slides provide summary information, a list of trends to watch and links to additional resources
Data lineage is a regulatory and internal requirement with potential to deliver significant operational and business benefits, but financial institutions can find it difficult to implement and complex to maintain as systems and regulatory requirements themselves, change quickly. The importance of understanding where the true source of the data is coming from, where the data flows to and what has changed cannot be overstated. The webinar defines data lineage and discuss implementation through the eyes of those that have implemented and sustained successful lineage solutions with significant benefits.
Listen to the webinar to find out about:
- Data management for data lineage
- Winning buy-in for projects
- Best practice implementation
- Operational and business benefits
- Expert practitioner advice
OpenNTF - From Donation to Contribution - ICS.UG 2016ICS User Group
• Who we are and where we came from
• Donation is nice but..
Contribution is better
• What is a perfect Open Source Project
• How does OpenNTF support you
7 Ways to Maximize ROI on your Digital Experience InvestementGlenn Kline
This is a presentation I gave for Perficient at IBM Amplify 2017 on 7 ways to maximize your ROI on your IBM Digital Experience / WebSphere Portal and Web Content Management investment.
Similar to World of Watson 2016: Journey to Cognitive Excellence - Harness the Force of a Strong Analytics Foundation (20)
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
2. World of Watson 20162 #ibmwow ibm.com/wow
With you today are…
Analytics leaders who want to share and discuss how a strong analytics
foundation will help propel organizations into the cognitive era.
JULIE SEVERANCE
Global Leader
Analytics Strategy & Initiatives
IBM
BRIAN GREEN
Manager
BI & Performance Management
BCBS Tennessee
MARK LACK
Director
Cognitive Analytics
Mueller, Inc.
KAY VANDEVANTER
Technical Leader
Analytics
The Boeing Company
3. World of Watson 20163 #ibmwow ibm.com/wow
Leaders must capitalize on all the foundational
work they’ve done to deploy data and analytics.
Becoming a Cognitive Business is a journey,
not a destination
4. World of Watson 20164 #ibmwow ibm.com/wow
Cognitive
understand, reason, learn
Descriptive
discover, report, analyze
• Puts data and insight to work
• Offer new services, reach new buyers
• Reinvent and Outthink competitors
Predictive
Predict, decide, act
Volume (data at rest)
Velocity (data in motion)
Variety (many forms of data)
Veracity (data in doubt)
Prescriptive
Prescribe, optimal, next best action
What are the characteristics of a
Cognitive Business?
5. World of Watson 20165 #ibmwow ibm.com/wow
Possibilities are endless when evolving analytics
ruled based systems to cognitive learning systems
analyze user activity to
support or automate tasks
→ rule based
understand user activity
and its context to offer
insights (cognitions),
solutions or active
assistance
→ learning
6. #ibmwow ibm.com/wowWorld of Watson 2016
Analytics Cognitive
Addresses predefined
problems
Addresses ambiguous
problems
Provides accurate and
definitive answers
Provides answers with a level of
confidence or a margin of error
Handles information with
known semantics
Handles information without
explicitly knowing semantics
Interacts in formal digital
means (e.g. commands,
screens) with humans
Interacts in natural language
with humans
Analytics creates a value continuum for cognitive
Analytics’ data-driven approach + cognitive computing’s knowledge driven approach
solve different elements of business problems – together delivers greater value
#ibmwow ibm.com/wow7 World of Watson 2016
7. #ibmwow ibm.com/wowWorld of Watson 2016
Resulting in increased expertise and productivity
8
People could
accomplish one task at
a time
Cognitive computing
enables rapid
augmentation and
expansion of human
capability and skills
Cognitive
CAPABILITY
Digital
TIME
Pre-digital
Digital computing enables
people to multitask
efficiently, and connect
globally
#ibmwow ibm.com/wowWorld of Watson 2016
8. #ibmwow ibm.com/wowWorld of Watson 20168
Many organization have challenges in
achieving excellence
Skills, lack of data governance, and internal organizational resistance
are the top three challenges perceived by the organizations
Source: IBM Institute for Business Value Cognitive Computing Survey (Q24) 2015 Cross- Industry dataWorld of Watson 2016
9. #ibmwow ibm.com/wowWorld of Watson 20169
Strategy/Value: How do you
define value to get stakeholder
buy-in while folding in new
capabilities without to much
disruption?
People/Process: How do you lay
the foundation to develop new
specialized cognitive business
skills and IT technical skills?
Technology: How do you manage
the change and learn to implement
and manage cognitive technology
capabilities?
PEOPLE & PROCESS
STRATEGY & VALUE
TECHNOLOGY
World of Watson 2016
Panel: Journey to a Cognitive Excellence
10. #ibmwow ibm.com/wowWorld of Watson 201610
“
”
What’s the cost of not being a Cognitive business?
The biggest threat
is not my current
competitors but the
ones that I don’t
know about yet.
Mark Lack, Director of Cognitive Analytics
Mueller, Inc.
11. #ibmwow ibm.com/wowWorld of Watson 201611
“
”
What’s the cost of not being a Cognitive business?
Kay Vandevanter, Analytics Technical Lead
The Boeing Company
Being cognitive is key to driving
competition advantage in the global
aerospace marketplace.
12. #ibmwow ibm.com/wowWorld of Watson 201612
“
”
What’s the cost of not being a Cognitive business?
Brian Green, Manager BI & Performance Management
BCBS of Tennessee
We can’t meet the demands of our
members and clients if we’re not
using all of the resources and data
available to us. Being Cognitive
creates better patient outcomes.
13. #ibmwow ibm.com/wowWorld of Watson 201613
How to tackle challenges? Align foundational
strategies
PEOPLE & PROCESSSTRATEGY & VALUE TECHNOLOGY
Source: 5 Keys to Business Analytics Success Book, Publisher MC Press On-line
14. #ibmwow ibm.com/wowWorld of Watson 201614
STEP 1:
Novice
• Inflexible
• Spreadsheets
• Extracts
• Manual
Intervention
• Static Reports
• No governance
Builder
STEP 2:
• Departmental
• Task automation
• Silo’d data, KPIs
• Some standards
• Some self-service
• Emerging CoEs
• Minimal governance
STEP 3:
Leader
• Cross-functional
• Applied analytics
• Aligned data, KPIs
• Trusted information
• Common standards
• Full self-service
• Aligned CoEs
• Formal governance
• Emerging cognitive
STEP 4:
Master
• Enterprise aligned
• Executive Sponsor
• Highly collaborative
• 360 degree insights
• Analytics-driven
culture
• Strong analytics
program &
governance
• Embedded cognitive
Manual, slow, error prone,
cumbersome, fragmented data
quality concerns
Automated, instant, accurate,
seamless, converged Data
governance is in place
Increase AQ maturity and embed cognitive
Source: 5 Keys to Business Analytics Success Book, Publisher MC Press On-line
15. #ibmwow ibm.com/wowWorld of Watson 201615
Organizational design matters
Source: 5 Keys to Business Analytics Success Book, Publisher MC Press On-line
16. #ibmwow ibm.com/wowWorld of Watson 201616
Lay the foundation Manage the changeDefine the value1 2 3
Find the right
opportunities for
cognitive
Define the value
proposition and chart
a course for cognitive
Be realistic about
value realization
Invest in specialist
human talent and skill
development
Build and ensure a
quality data and
analytics corpus
Measure maturity,
readiness, consider
impacts, business
processes, and policy
requirements.
Ensure executive
involvement along
the cognitive
journey
Communicate the
cognitive vision at
all levels
Continue to raise
maturity at every
level.
Success factors: Journey to Cognitive Excellence
18. #ibmwow ibm.com/wowWorld of Watson 201618
“Designers… don’t try to search
for a solution until they have
determined the real problem, and
even then, instead of solving that
problem, they stop to consider a
wide range of potential solutions.
Only then will they finally converge
upontheirproposal.Thisprocessis
calleddesignthinking.”
— Don Norman17 World of Watson 2016
Consider using IBM ‘Design Thinking’
19. #ibmwow ibm.com/wowWorld of Watson 201619
5 Keys to Business Analytics Program Success Book
This book is a great starting point and offers a lot of valuable information on
strategy to build a success analytics program. Co-written with IBM and some of
our top strategic clients. The hardcopy book is also available on Amazon for
purchase.
Design Thinking Offerings
This content provides more details on the IBM Design Thinking approach and
methodology. Includes links to various offerings around hosting an IBM Design
workshop.
DataFirst Method Offerings
This content provides details on IBM’s newly launched methodology around how
to get the most use and value from data. Includes links to various offerings based
upon need.
Resources to learn more
22. #ibmwow ibm.com/wowWorld of Watson 2016
Please note IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice and
at IBM’s sole discretion.
Information regarding potential future products is intended to outline our general product direction and it should
not be relied on in making a purchasing decision.
The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to
deliver any material, code or functionality. Information about potential future products may not be incorporated into
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The development, release, and timing of any future features or functionality described for our products remains at
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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.
21 World of Watson 2016
24. #ibmwow ibm.com/wowWorld of Watson 2016
Notices and
disclaimers
continued
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23 World of Watson 2016
Editor's Notes
Welcome to the Journey to Cognitive Excellence: Harness the Force of a Strong Analytics Foundation Panel Discussion.
I am Julie Severance a Global Leader in IBM Analytics Strategy and Initiatives Office. I have global accountability leading and managing data and analytics strategic advisory council initiatives and partnerships with innovative thought leaders and digital disruptors – to collaborate jointly to validate and pioneer future solutions; methodologies and best practice that will help to empower organizations to re-invent and outthink in the digital economy.
I am delighted to be here today as your moderator which we hope will be a very free discussion on how to achieve cognitive excellence with some of the leading people that are at the forefront of evolving their advanced analytics capabilities making it a reality in each of their respective organizations and industries.
I am going to go ahead and do a quick introduction – Over here we have Mark Mueller, Director of Cognitive Analytics at Mueller in Inc., then Kay Vandevanter, Analytics Technical Leader at the Boeing Company and Brian Green, Manager for BI & Performance Management at BCBS of Tennessee.
I also want to pass on that the members of our panel are all co-authors or visiting thors of the “5 Keys to Business Analytics Program Success” book which provided thought leadership, best practices and the tools required to create a successful Business Analytics Program - which is based off the experience of leading organizations like that of our panel members that display analytics excellence.
How I want to start is to get some sort of bigger picture -- First I want to state that becoming a Cognitive business is a journey,not a destination.
So IBM, we are know to do a lot of research -- and according to a recent IBM Institute of Business Value survey - almost three-quarters of more than 6,000 organizations have the data and analytics capabilities needed to start their cognitive journey…
Although the right technology is crucial, its true value arises when the organizational mindset changes -- because a cognitive analytics culture is not something you can just buy or install. Many organizations have learned to embrace their data and analytics foundations, but embracing cognitive is another step entirely, and it’s one that may be even more challenging.
Key points here are:
In the mature space (e.g BI), differentiation is based on ease of use and context/role specific solutions
In the active space, can also differentiate on data size and solution speed/accuracy
In the emerging space around cogntive.
However, the possibilities are endless and the potential rewards make it worthwhile. It’s important to understand that analytics and cognitive technologies are fundamentally different.
Analytics is a ruled-based system that applies predetermined algorithms to vast amounts of data. It requires you to know what you’re looking for, and how to ask in a way the system can understand. By contrast, a cognitive system can learn, and can interact with people using natural language. That means an unprecedented flexibility and agility: you can ask the system what you want, and it can figure out new and better ways of interpreting data and reaching goals.
In other words, you no longer have to tell the computer system exactly what to do.
And our research shows us – to excel you have to recognize the importance of building a strong foundation that embraces all forms of data and advanced analytic capabilities. And when you introduce cognitive capabilities into the organization, the possibilities are endless. While analytics handles the structured data, cognitive can dive into unstructured elements such as texts, pictures, blogs, social media and more. Taken together, cognitive and analytics can address different business needs, and can see the same data from different perspectives, bringing greater insights than either individual technology.
Develop, define and align your organization’s cognitive business strategy with user needs and experiences, tackling challenges and solving problems to delivery your future cognitive capabilities and ensure success.
Organizational design – like a President’s Cabinet – that consists of skilled experts in IT and the business who manage a business analytics program across the enterprise with focus on foundational strategies that address how to measure and build use cases that show value, empowering people, process and technology.
With the emergence of the CDO and CAO role the design will help that leader get buy from key stakeholders across the business. It will also allow execution for strategies around data, analytics and cognitive computing and measure of value to the business.
While the capabilities and limits of computing continue to evolve, many of the fundamental success factors never change. How these systems are implemented and how users interact with them is fundamentally different than traditional input/output systems. It is often a challenge for organizations to understand this fact and determine how to best apply this capability in their organization. Our interviews with SMEs that have implemented cognitive computing solutions in pioneering organizations have revealed three key factors critical to a successful cognitive computing implementation.
1. Define the value
2. Prepare the foundation
3. Manage the change
WHERE ARE YOU ON YOUR JOURNEY? HOW WILL YOU GET STARTED? OR HAVE YOU ALREADY STARTED AND HAVING CHALLENGES?
Where do you start your own journey to solve the problems you’re facing down today yet in entirely new ways?
The possibilities can seem endless, so narrow your focus. Not every problem you have is a cognitive problem to solve.