IT AND PROCUREMENT:
OPPORTUNITIES AND IMPLEMENTATION OF
NEW ANALYTICS TECHNOLOGIES FOR
BIGDATA
Ivan Gruer MBA23 Candidate
...
AGENDA (MENU)
Ivan Gruer MBA23 Candidate - MIB School of Management
1. Aperitif (2 slides):
OVERVIEW
2. Main Course 1 (2 s...
Content
(words)
Context
(NW)
SEO
…SEARCH ENGINE OPTIMIZATION (SEO)
Ivan Gruer MBA23 Candidate - MIB School of Management
“...
FACTS
OVERVIEW(1/2): WHY BIGDATA?
Ivan Gruer MBA23 Candidate - MIB School of Management
Source: McKinsey Global
Institute ...
OVERVIEW(2/2): OBJECTIVES
Ivan Gruer MBA23 Candidate - MIB School of Management
THE QUESTION: which are opportunities and ...
METHODOLOGY(1/2): RESEARCH
Ivan Gruer MBA23 Candidate - MIB School of Management
RESEARCH: books, articles (HBR, MIT, MGI,...
METHODOLOGY(2/2): AN INVENTED CASE
STUDY FOR A REAL BUSINESS ISSUE
Ivan Gruer MBA23 Candidate - MIB School of Management
F...
Ivan Gruer MBA23 Candidate - MIB School of Management
RESULTS (1/1)
1) IT VENDOR PROCUREMENT:
Business Intelligence, Analy...
Ivan Gruer MBA23 Candidate - MIB School of Management
BUSINESS IMPLICATIONS (1/1)
Will See…
1) Double Side of IT: efficien...
Ivan Gruer MBA23 Candidate - MIB School of Management
THANK YOU!!!
Research
purpose (IT)
Others'
objectives
(WE)
Author's
...
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IT and Procurement: Opportunities and Implementation of New Analytics Technologies for BigData

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Presentation of the Final Dissertation, Master in Business Administration at MIB School of Management

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IT and Procurement: Opportunities and Implementation of New Analytics Technologies for BigData

  1. 1. IT AND PROCUREMENT: OPPORTUNITIES AND IMPLEMENTATION OF NEW ANALYTICS TECHNOLOGIES FOR BIGDATA Ivan Gruer MBA23 Candidate MIB School of Management
  2. 2. AGENDA (MENU) Ivan Gruer MBA23 Candidate - MIB School of Management 1. Aperitif (2 slides): OVERVIEW 2. Main Course 1 (2 slides): METHODOLOGY 3. Main Course 2 (1 slide): RESULTS 4. Side orders (1 slides): BUSINESS IMPLICATIONS 5. Desserts: QUESTION TIME …before Enjoying the Meal, a «STARTER» TIP!
  3. 3. Content (words) Context (NW) SEO …SEARCH ENGINE OPTIMIZATION (SEO) Ivan Gruer MBA23 Candidate - MIB School of Management “Semantic” SEO TIP Where IS the PROBLEM: CONTENT or CONTEXT? CANDIDATE? Where IS…? ADVs Banners …A GOOGLE SEARCH: MIB? A CASE
  4. 4. FACTS OVERVIEW(1/2): WHY BIGDATA? Ivan Gruer MBA23 Candidate - MIB School of Management Source: McKinsey Global Institute – “Bigdata the next frontier for innovation, competition and productivity” … BIGDATA: Top Mislead Tech Buzzword 2013! M&A
  5. 5. OVERVIEW(2/2): OBJECTIVES Ivan Gruer MBA23 Candidate - MIB School of Management THE QUESTION: which are opportunities and threats of unlocking the value behind “bigdata” thanks to new IT technology improvements? Research purpose (IT) Others' objectives (WE) Author's objectives (I) OBJECTIVES: IT(facts): • clarify buzzword BIGDATA • Procurement (research, new trends) • IT and Procurement: IT vendor selection (KPIs) I(author): • new knowledgecompetence (procurement, supply chain,…) • leverage expertise (IT) to provide something useful and original (ideas for a start up?!?) WE(others): • a methodology for companies to fix specific problems (IT complexity, innovations,…) • Stimulate new researches, ideas, courses,… “Shot” a Convergence!
  6. 6. METHODOLOGY(1/2): RESEARCH Ivan Gruer MBA23 Candidate - MIB School of Management RESEARCH: books, articles (HBR, MIT, MGI, BCG, Gartner,…), blogs and… … engagement with experts! SEO & Semantic AuthorExpert Data Scientist 1° BigData influencer Who am I? “Semantic” SEO SEO = CONTENT + CONTEXT ASSUMPTION: NO BIASES
  7. 7. METHODOLOGY(2/2): AN INVENTED CASE STUDY FOR A REAL BUSINESS ISSUE Ivan Gruer MBA23 Candidate - MIB School of Management FAKE REVIEWS, NEGATIVE SEO,… OR ? Validation HOW?  User ID Card  Card Reader, RFID, Magnetic Band (smartphone) Review Data Base 3 1 2 NEW DATA AVAILABLE: RECEIPT (ID, Position, Time) How to Gain Value From DATA? 4
  8. 8. Ivan Gruer MBA23 Candidate - MIB School of Management RESULTS (1/1) 1) IT VENDOR PROCUREMENT: Business Intelligence, Analytics,… Which IT VendorSolution to Chose? BIGDATA (KPIs) SOURCES INFORMATION THEORY STATISTIC MACHINE LEARNING PSYCHO LOGY 2) BigData Opportunities Selection: A Revised Methodology… Why NOT NPD? NEEDS BigData (IT) PUGH Matrix QFD Matrix KJ Method New Product Development 1 2
  9. 9. Ivan Gruer MBA23 Candidate - MIB School of Management BUSINESS IMPLICATIONS (1/1) Will See… 1) Double Side of IT: efficiency, complexity, Change Management, IT Innovations… TO Disrupt OR TO BE Disrupted? 2) How to Innovate with BIGDATA?  Is BIGDATA Only a Question of «Predictions»?  What about BIGDATA for Value Creation? 3) Will NPD Applied to BIGDATA work?
  10. 10. Ivan Gruer MBA23 Candidate - MIB School of Management THANK YOU!!! Research purpose (IT) Others' objectives (WE) Author's objectives (I) OR TURNITIN Originality Report: 3% At Least it’s Original… …Unless Data and Algorithm of TURNITIN are Slanted!
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