Venture capital is high-risk financing that seeks high returns of 50% or more annually. It is best for businesses with heavy R&D needs, large market opportunities, or those requiring a lot of working capital like biotech, semiconductors, or Amazon. However, VC financing greatly dilutes the founder's ownership and gives investors control. It is a lengthy process that is not suitable for startups that are too early, small, or without barriers to entry. Alternative options include bootstrapping, self-financing, funding from friends and family, finding partners, or acquiring an existing business to avoid high dilution from venture capital.
This document discusses the role of users in the decision tree data mining process. Some key points:
1. Building decision trees is often viewed as an automatic process, but the document argues that users play an important role at various steps, including data preparation, choosing attribute selection criteria and pruning methods, and interpreting results.
2. There are many options for attribute selection criteria and pruning methods, and the best choice depends on factors like the certainty of the data and desired interpretability. Users must make choices at these steps.
3. Associated tasks like data cleaning, attribute encoding, and analyzing results are also important but often overlooked. These tasks require significant user input and influence the final results. The document aims to emphasize
The Microsoft Semantic Engine provides a unified platform for search, discovery, and insight across both structured and unstructured content. It uses a combination of technologies to develop a contextual understanding of digital information and allows users to blend different content types. The semantic engine consists of pluggable services for tasks like search, analysis, organization, and recommendation. It is designed to be scalable and extensible while also providing value out of the box with no learning curve.
world history.docx (19K) - Get Online Tutoring butest
The document contains 37 multiple choice questions about world history. The questions cover a wide range of topics including social conditions during the Renaissance, achievements of ancient civilizations like Greece and Rome, the development of early civilizations and agriculture, major religious and intellectual movements like the Protestant Reformation and Scientific Revolution, imperialism and colonialism, and the causes and consequences of the two World Wars. The questions test understanding of key historical periods, influential individuals, social and political systems, as well as economic and environmental factors that have shaped world history.
This document discusses the role of consistency controlled future generating models in strategic management. It argues that applying principles of combinatorics can automate the process of searching for the best model to forecast the future. However, defining the goal function for what constitutes the "best" model raises philosophical issues. The document also examines how consistency controlled modeling can help improve strategic decision making at both the social and enterprise levels, and discusses the role of the CIO in collecting and organizing the internal and external data needed to build such models for agricultural enterprises.
ATP Blog14 - Humichealth.Info- Medicinal Use of Humic Substances; series no.1atpcorporation
Dr. Richard Laub, a former university professor and current research scientist who is one of the leading experts in the world on Humic Acid, has been interviewed at his offices in Newport Beach, CA. The interview can be viewed by clicking a link and discusses Humic Acid's broad-spectrum anti-viral properties. The website provides information on Humic Acid's anti-viral power and other health benefits. It believes daily use of a purified Humic Acid supplement can provide health benefits and protections that are simply unobtainable from any other nutritional supplement.
Venture capital is high-risk financing that seeks high returns of 50% or more annually. It is best for businesses with heavy R&D needs, large market opportunities, or those requiring a lot of working capital like biotech, semiconductors, or Amazon. However, VC financing greatly dilutes the founder's ownership and gives investors control. It is a lengthy process that is not suitable for startups that are too early, small, or without barriers to entry. Alternative options include bootstrapping, self-financing, funding from friends and family, finding partners, or acquiring an existing business to avoid high dilution from venture capital.
This document discusses the role of users in the decision tree data mining process. Some key points:
1. Building decision trees is often viewed as an automatic process, but the document argues that users play an important role at various steps, including data preparation, choosing attribute selection criteria and pruning methods, and interpreting results.
2. There are many options for attribute selection criteria and pruning methods, and the best choice depends on factors like the certainty of the data and desired interpretability. Users must make choices at these steps.
3. Associated tasks like data cleaning, attribute encoding, and analyzing results are also important but often overlooked. These tasks require significant user input and influence the final results. The document aims to emphasize
The Microsoft Semantic Engine provides a unified platform for search, discovery, and insight across both structured and unstructured content. It uses a combination of technologies to develop a contextual understanding of digital information and allows users to blend different content types. The semantic engine consists of pluggable services for tasks like search, analysis, organization, and recommendation. It is designed to be scalable and extensible while also providing value out of the box with no learning curve.
world history.docx (19K) - Get Online Tutoring butest
The document contains 37 multiple choice questions about world history. The questions cover a wide range of topics including social conditions during the Renaissance, achievements of ancient civilizations like Greece and Rome, the development of early civilizations and agriculture, major religious and intellectual movements like the Protestant Reformation and Scientific Revolution, imperialism and colonialism, and the causes and consequences of the two World Wars. The questions test understanding of key historical periods, influential individuals, social and political systems, as well as economic and environmental factors that have shaped world history.
This document discusses the role of consistency controlled future generating models in strategic management. It argues that applying principles of combinatorics can automate the process of searching for the best model to forecast the future. However, defining the goal function for what constitutes the "best" model raises philosophical issues. The document also examines how consistency controlled modeling can help improve strategic decision making at both the social and enterprise levels, and discusses the role of the CIO in collecting and organizing the internal and external data needed to build such models for agricultural enterprises.
ATP Blog14 - Humichealth.Info- Medicinal Use of Humic Substances; series no.1atpcorporation
Dr. Richard Laub, a former university professor and current research scientist who is one of the leading experts in the world on Humic Acid, has been interviewed at his offices in Newport Beach, CA. The interview can be viewed by clicking a link and discusses Humic Acid's broad-spectrum anti-viral properties. The website provides information on Humic Acid's anti-viral power and other health benefits. It believes daily use of a purified Humic Acid supplement can provide health benefits and protections that are simply unobtainable from any other nutritional supplement.
This document summarizes the ICOM project which researched computational intelligence, its principles, and applications. The project developed and implemented neural, symbolic, and hybrid systems including theory refinement systems, ANN compilers, genetic algorithms, and applications in various domains. Key developments included the CIL2P system which combines logic programming and neural networks, and rule extraction methods to explain neural network decisions. The combinatorial neural model was also investigated as a way to integrate neural and symbolic processing for classification tasks.
Desney S. Tan is a researcher at Microsoft Research who works on human-computer interaction and physiological computing. He received his PhD from Carnegie Mellon University in 2004. His research interests include machine learning, visualization, mobile computing, sensors, and evaluation techniques for improving healthcare and digital experiences. He has published extensively in top conferences and journals and holds several awards for his research contributions.
The document provides biographies of several individuals who work for the Canadian Mental Health Association (CMHA) in different regions of Canada. It summarizes their educational backgrounds, roles, areas of expertise, and contact information. They work in areas such as mental health promotion, education, crisis intervention, and managing various CMHA programs and services.
What s an Event ? How Ontologies and Linguistic Semantics ...butest
This document discusses challenges for machine learning models of event extraction. It summarizes different approaches to modeling events, from simple relations to complex hierarchical decompositions. It notes challenges like associating ontologies with textual realizations, learning connectivity criteria for event relations, and developing formal frameworks that can handle the representational richness of events while remaining tractable. Clinical and biological event examples are also briefly discussed.
The document summarizes the Micromouse competition where autonomous robots must navigate through a maze to reach the center. It discusses the multi-year involvement of the UCSD team, the educational benefits for students, and progress made in redesigning their robot. Key skills developed include circuit design, PCB layout, programming, and maze solving algorithms. While their robot hardware is mostly complete, software work remains to be done in motor control and maze navigation algorithms. Funding from IEEE was received but additional support is being requested to continue the project.
The document outlines the development of an app called Tearn Up created by Princeton students to address the lack of opportunities at Princeton for learning practical skills from other students. It discusses initial inspiration and challenges faced such as time constraints and lack of incentives. An alpha prototype was successful but faced issues with scheduling classes and ensuring follow through. Further updates included expanding connectivity and credibility through a teaching community with quality control. Feedback was positive about casual skill sharing and looking for ways to recruit more users and teachers through student groups and events. The goal is to continue growing the program and find successors to run it.
Ansattes individuelle krav til valgfrihet har endret måten vi jobber på. Jobben utføres uavhengig av tid og sted. Ansatte ønsker selv å bestemme hvilke PC-er og mobile enheter de skal bruke i jobb og privat sammenheng. Arbeidsgiver skal tilrettelegge for høy tilgjengelighet av bedriftens systemer. Sikkerheten settes på prøve. Bedriften må tilpasse sine rutiner for hele livssyklusløpet; anskaffelser, implementering, support, drift og vedlikehold, forvaltning, finansiering og miljømessig avhending.
This document summarizes the ICOM project which researched computational intelligence, its principles, and applications. The project developed and implemented neural, symbolic, and hybrid systems including theory refinement systems, ANN compilers, genetic algorithms, and applications in various domains. Key developments included the CIL2P system which combines logic programming and neural networks, and rule extraction methods to explain neural network decisions. The combinatorial neural model was also investigated as a way to integrate neural and symbolic processing for classification tasks.
Desney S. Tan is a researcher at Microsoft Research who works on human-computer interaction and physiological computing. He received his PhD from Carnegie Mellon University in 2004. His research interests include machine learning, visualization, mobile computing, sensors, and evaluation techniques for improving healthcare and digital experiences. He has published extensively in top conferences and journals and holds several awards for his research contributions.
The document provides biographies of several individuals who work for the Canadian Mental Health Association (CMHA) in different regions of Canada. It summarizes their educational backgrounds, roles, areas of expertise, and contact information. They work in areas such as mental health promotion, education, crisis intervention, and managing various CMHA programs and services.
What s an Event ? How Ontologies and Linguistic Semantics ...butest
This document discusses challenges for machine learning models of event extraction. It summarizes different approaches to modeling events, from simple relations to complex hierarchical decompositions. It notes challenges like associating ontologies with textual realizations, learning connectivity criteria for event relations, and developing formal frameworks that can handle the representational richness of events while remaining tractable. Clinical and biological event examples are also briefly discussed.
The document summarizes the Micromouse competition where autonomous robots must navigate through a maze to reach the center. It discusses the multi-year involvement of the UCSD team, the educational benefits for students, and progress made in redesigning their robot. Key skills developed include circuit design, PCB layout, programming, and maze solving algorithms. While their robot hardware is mostly complete, software work remains to be done in motor control and maze navigation algorithms. Funding from IEEE was received but additional support is being requested to continue the project.
The document outlines the development of an app called Tearn Up created by Princeton students to address the lack of opportunities at Princeton for learning practical skills from other students. It discusses initial inspiration and challenges faced such as time constraints and lack of incentives. An alpha prototype was successful but faced issues with scheduling classes and ensuring follow through. Further updates included expanding connectivity and credibility through a teaching community with quality control. Feedback was positive about casual skill sharing and looking for ways to recruit more users and teachers through student groups and events. The goal is to continue growing the program and find successors to run it.
Ansattes individuelle krav til valgfrihet har endret måten vi jobber på. Jobben utføres uavhengig av tid og sted. Ansatte ønsker selv å bestemme hvilke PC-er og mobile enheter de skal bruke i jobb og privat sammenheng. Arbeidsgiver skal tilrettelegge for høy tilgjengelighet av bedriftens systemer. Sikkerheten settes på prøve. Bedriften må tilpasse sine rutiner for hele livssyklusløpet; anskaffelser, implementering, support, drift og vedlikehold, forvaltning, finansiering og miljømessig avhending.
1. Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
IT OFFSHORING
- Patrick Tahiri -
2. Kort om meg
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
IT Service Management – ITIL
15 years experience in IT Operations & Consulting
Team Leadership & Coaching
IT Offshoring & Virtual Team
Cross-cultural Communication
Project & Change Management
3. Hva er IT Offshoring ?
Når et firma flytter en eller flere av sine IT relaterte
forretningsprosesser eller IT aktiviteter i et annet land.
Forskjellen mellom offshoring og nearshoring er at ved
nearshoring, utføres driftstjenestene i et land som er
geografisk, politisk, juridisk og kulturelt nærliggende
kunden selv.
IT Offshoring
IT Nearshoring
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
4. Hvorfor IT Offshoring ?
Driverne for å globalisere
IT leveransene
Kundenes krav og forpliktelser kan ikke bli tilfreds med kun Norsk ressurser alene – behov
for å øke konkurranseevner og skalerbarhet for å sikre tilstrekkelig leveranser.
Kutte kostnader
Øke tilgang til kompetanse – større/sikrere ressurstilgang
Kapasitet, Skalerbarhet og fleksibilitet (time to market)
Kvalitet
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
5. Hva kan offshores ?
Approximately 70% of the IT Services surrounding the operation of a data center can be executed in
some type of remote manner ! (Gartner)
Daglig drift – ikke «synlig» for kundene
Incident og Problem Management
System drift 24/7
Akuttsituasjon, vakt og overtid
Kapasitet (prosjekt)
Support/Støtte
CSI: forbedringstiltak, Performance analysis/tuning
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
6. IT Offshoring alternativer
Egen
Hybrid
Ekstern – IT Offshore leverandør
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
7. IT Offshoring leveranse modeller
Integrert
Semi-integrert
Dedikert
Miks av
onshore/offshore
ressurser
Alle kunder
Egnet forBeskrivelse
Onshore PM/ressurser
Som bruker offshore ressurser
Kunder med spesielle AD/AM behov
- onshore ressurser i front -
Dedikert kunde team
Kunder med høy grad av AD/AM
kontroll behov/krav
Direkte
Kun offshore ressurser
Onshore ressurser er ikke involvert
Kunder med høy fokus på kostnad &
Lav nærhetskrav
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
8. Tjeneste migrering – tilnærming/metodikk
Stabilisering
Tett oppfølgings- og
overvåkingsperiode
Prosess og ytelse evaluering
Leveranse evaluering og KPIer
Handover møter
Harmonisering og forbedringer
(CSI): Operative justeringer og
forbedringer
Audit og oppdateringer
Transisjon
Intensiv jobb og
opplæringsperiode
Kontoer og åpninger
Tester/QA
Migrate processes global & Tests
Go – No/Go meetings
Migrer til den global
leveransemodellen
Forberedelser/Plan
Innsamling & Oppdatering
Prosessbeskrivelse og analyse
AS-IS
Rammeverk: definer prosesser
og løsninger TO-BE – for global
leveranse
WI/Runbooks (metodikker)
Roller, ansvar, eierskap
Design transisjonsplan
Information (Internt & Eksternt)
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
9. IT Offshoring – Transisjonsløp
1 – Ledelse godkjenner offshoring
Dokumentasjon
Migrering
Stabilisering
1
2 – Forberedelser, omfang, design, transisjonsretningslinjer
2
3 – Ledelse godkjenner transisjonsretningslinjer
3
4.1 – Start dokumentasjon gjennomgang og tilpasninger (driftsdok, org., prosesser, rutiner, roller, ansvar)
4.2 – Offshore management onshore: organisasjon og prosess opplæring – «hvordan gjøre ting»
4
5 – Start offshore infrastruktur: kontor, tilgang, verktøy
5
6 – Start staffing offshore
6 7
7 – Migreringen
8
8 – Start stabilisering og oppfølging
9 – fortjeneste realisering
9
August September Oktober November DesemberJuli Januar Februar Mars
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
10. Forventede Prestasjoner
• Bruk av globale ressurser reduserer kostnader.
• Frigjøring av dyktige konsulenter onshore.
• Mer tid for strategiske aktiviteter som krever høy
grad av kundeinteraksjon, kundenærhet.
• Redusering av overtid, vakt/standby kostnader
onshore.
• Økt kapasitet for innovasjon og nye tjenester.
Konkurransedyktighet
• Tid for proaktiv oppfølging av kundene.
• Kapasitet for proaktive tekniske aktiviteter.
• Kapasitet for overvåking og trendanalyse. Reduser
antall incidenter.
• Robusthet og overlapp av kompetanse.
• Reaksjonsevne.
Kvalitet
Økt vekst
Nye markeder
Innovasjon
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
12. India & Ukraina – kunnskapsbasert økonomi
INDIAUKRAINA
En av verdens største utdanningssystem
311 Universiteter – mer enn 15 6000 skoler
3 millioner nyutdannede (graduates) hvert år
200k ingeniører – 300k tekniker – 150k R&D profesjonelle / år
315 Universiteter – Kyiv ~ 70 Universiteter.
Eldst Universitet fundert i 1632
Veldig sterk teknisk utdanningstradisjon – matematiker/Ingeniører
60% nyutdannede i matematikk, fysikk og IT – 40% Sovjet forskning
1% verdensbefolkning – 6% verdens matematiker, fysiker
~ 30 000 nyutdannede IT ingeniører / år
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
13. India – Utfordringer og Risiko
Tidsbegrep Uenighet
Prioriteter
Språk/Engelsk: uttalelse & betydning
Kvalitetssyn
Kontakt person
kan endres ofte
Kompetanse variasjon
& uforutsigbarhet
Direkte kommunikasjon
når et problem oppstår
IPR
Forskjellige arbeidsmiljøet
og prosesser/metoder
Forskjellige
hierarki syn
Tidssoner
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
14. India – Trender
Kostnader øker
På vei opp i verdikjeden
Dirkete mot skandinaviaskunder
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
15. Ukraina – Utfordringer og Risiko
Korrupsjon Rettssystemet
Lov/Standard for datapersonvern Datatilsynet
Brain drain Politisk og juridisk stabilitet
IPR
Forskjellige arbeidsmiljøet
og prosesser/metoder
Kommunikasjon Hierarki
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
16. Ukraina & India
Bedre på ingeniør-type IT systemer – OS/Nettverk/Server/MW
Ekspertise – høy verdisett – status
Konsulentene våger på individnivå å utfordre kunden / Initiativer
Nærhet – Lokasjon – Tidssone (EET) – Produktivitet
Kulturell nærhet – Vestlig orientert
Bedre SAP og Microsoft kompetanser (tilgang)
Lavere lønnsnivå generelt – høyre overhead
UKRAINAINDIA
Press for å stige i hierarkiet – Manager gir mer status
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
17. Forutsetning for å lykkes med offshoring
Forankres i Ledelsen
Bli kjent med din
offshore partner
Kommunikasjon
Sett sammen teamet og
klare spilleregler
Ta hensyn til kultur
Definer tidlig WI/Runbooks, prosesser, organisasjon, eierskap, og ansvar
Lær om forretningskultur
Respekter – Tålmodighet Insentiver – opplæring
Reis ofte – Inviter ofte – Bli kjent med arbeidsmiljø
FØLGE OPP!
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
"Vinnerens forbannelse" - Problemer øker med sterkere fokus på lav pris
Tahiri.no
18. IT Offshore Manager – rolle
FØLGE OPP !
Keep track
Synk
Relasjonsbygging – Fasilitator/Mekler/Coach
Øke produktivitet CSI & Redusere TCE
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
19. IT Offshoring – en trussel ?
JA… og NEI
Utfordring: IT bransjen er global – sånn er det bare!
Kreativitet, design og arkitektur Fleksibilitet, kultur, lavere turnover – kontinuitet
Scrum Skreddersydde løsninger, lokal marked kjennskap krever nærhet
IT-bransjen bare går samme vei som annen industri
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
20. IT Offshoring – en nødvendighet ?
Kunnskapsindustrien/IKT
I omsetning Norges tredje største næring
Driver 25% av veksten
Gir andre næringer konkurransekraft og
offentlig sektor effektivitet – kutter kostnader
og gir borgerne bedre tjenester.
Mangler på arbeidskraft Strategisk betydning
– økonomisk, vekst/ytelse, samfunn
Offshoring er et godt alternativ! Nødvendighet…
Opprettholde konkurranseevne
Kunnskapsindustri ytelse
Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
21. Kort om meg – Offshoring? – Hvorfor? – Hva kan offshores? – Alternativer – Leveranse modeller – Tjeneste migrering – Transisjonsløp – Forventede Prestasjoner – Offshore Landene
kunnskapsbasert økonomi – IN Utfordringer og Risiko – IN Trender – UA Utfordringer og Risiko – Ukraina & India – Forutsetninger – IT Offshore Manager – Trussel? – Nødvendighet? – Spørsmål
Tahiri.no
Takk !
Spørsmål ?