3. That’s me: William Visterin
• Editor in chief Smart Business Strategies
• B2B Manager at Minoc Business Press
(smartbiz.be)
• Keynote speaker Business Meets IT
(businessmeetsit.be)
• Business Technology analyst
• Freelance business & IT journalist
(De Tijd, Vacature, Jobat, CFO Magazine,…)
8. Cloud computing
5 characteristics
• On-demand self-service: individuals can set
themselves up without needing anyone‟s help;
• Ubiquitous network access: available through
standard Internet-enabled devices;
• Location independent resource pooling: demands
are balanced across a common infrastructure with no
particular resource assigned to any individual user;
• Rapid elasticity: consumers can increase or decrease
capacity at will;
• Pay per use: consumers are charged fees based on
their usage of a combination of computing power,
bandwidth use and/or storage
9. Use of Cloud Computing in Belgium
35%
Source: Smart Business Strategies & ZDNet.be, N = 400
Source: Computer Profile, N = 3,000
11. Research: Cloud in Belgium
Wat zijn voor u de grootste voordelen van cloud computing?
• Maintenance: minder (of geen) onderhoud
• Security: beveiliging is beter
• Always on: toepassing altijd bereikbaar
• Scalable & flexibility: u kan snel aanpassen
• Price: het is goedkoper
Bron: Smart Business Strategies Datacenter & ZDNet, 240
12. Research: Cloud in Belgium
Wat zijn voor u de grootste voordelen van cloud computing?
• Maintenance: 21%
• Security: 8%
• Always on: 47%
• Scalable & flexibility: 19%
• Price: 5%
Bron: Smart Business Strategies Datacenter & ZDNet, 240
26. Personal Computing Evolution
SOURCES: Asymco.com, Public Filings, Morgan Stanley Research,
Gartner, IDC
The PC/Web Era
The Post-PC Era
The Mobile-
First Era
28. Research: Users
46
9
18
27
Gebruik jij je privé-smartphone op
je werk?
Nee, ik gebruik geen
smartphone
Ja, en onze IT-afdeling
ondersteunt hem
Jawel, maar ik krijg
hiervoor geen
support van IT
Nee, ik heb een
smartphone van de
zaak
Bron: ZDNet, 2013, N=181
34. Evolution of Big Data
2000: Wal-Mart
200 terabytes (= 200.000 gigabyte)
2013: An average company
(> 1000 emp.)
200 terabytes (= 200.000 gigabyte)
35. x 15= Growth digital universe
Next 7 years
From 3 zettabytes
(= 3 billion terabyte)
To > 40 zettabytes (in 2020)
The best (biggest) is yet to come…
38. Big Data
• Verzamelingen van gegevens die met
de gangbare hardware of software niet
meer te hanteren zijn.
• Opslaan en raadplegen van data, maar
ook verwerken, verplaatsen,
analyseren en weergeven.
• Zowel om gestructureerde gegevens
(bvb. in databanken) maar ook
ongestructureerde (Word, Excel,…).
39. 3 V’s in Big Data
1. Volume (hoeveelheid). Hoe meer
data, des te beter of nauwkeuriger
2. Velocity (snelheid). De snelheid
waarmee data gegenereerd wordt
3. Variety (diversiteit). Grote diversiteit
van redelijk losstaande data die
gecombineerd moeten worden
48. Beschikt u in uw organisatie over een
datacenter (of serverruimte)?
Ja, in ons
bedrijf zelf;
63%Neen, wij
gebruiken
extern
datacenter, 1
3%
Zowel eigen
datacenter
als extern;
(50/50)
24%
Smart Business Strategies, ZDNet, 2012, N=361
56. Most popular BI tool = Excel
Does your company analyse data?
->Yes, with Excel: 38%
->Yes, with a BI tool: 32%
->No: 12%
->No Idea: 18%
Source: ZDNet / Smart Business Strategies, N = 150
57. Role of BI in your organisation?
1.) Rapportering
2.) Corporate performance management
3.) Planning, budgettering & forecasting
4.) OLAP (online analytical processing )
5.) Datamining
Bron: BI Community, 2010
58. Growth of BI in Belgium (between 2006-2012)
40%
Source: Computer Profile, N = 3.600
62. 1. Consolidation
• Market consolidation
• Consolidation in applications (ERP, BI,…)
• Consolidation in BI (business
intelligence – analytical intelligence)
Magic Quadrant for Business Intelligence and
Analytics Platforms
66. What department uses BI?
1.) Financial department 80%
2.) CFO 75%
3.) Board & CEO 59%
4.) Business Controlling 51%
5.) COO & Operations 49%
6.) Sales 46%
7.) CIO 39%
8.) Market Research 31%
9.) IT department 30%
10.) BI unit 20%
Bron: MarketCap, 2010
67. 2. Self Service & Agile
• BI op niveau waar beslissing genomen
moet worden: zakelijke gebruikers
• “Typisch BI-project = al snel 17 weken
vooraleer beslissingsnemer resultaat
merkt. Via data & business discovery kan
al op 1 week.”
• Projecten beginnen op kleinere schaal,
maar kunnen flink doorgroeien.
69. 3. Visualization
• Het menselijk brein verwerkt visuele
informatie 60.000 keer sneller dan tekst.
• In de lijn van „data discovery‟: focus op
zeer interactieve en grafische
gebruikersinterfaces.
• Visual is dé trend in de BI-markt
- MicroStrategy improved Visual Insight.
- SAP launched Visual Intelligence.
- SAS launched Visual Analytics.
- Microsoft bolstered PowerPivot with Power View
- Qlikview acquired NComVA
72. BI Trend 4. Mobile
• Studie CFO Magazine: 1 op 4 Belgische CFO‟s
gebruikt iPad voor de uitoefening van job.
• Analytic content to mobile devices in
publishing/interactive mode (with mobile
client's location awareness.)
• Technieken als „in memory‟: data direct
stockeren in interne geheugen (mobiel) toestel.
• Gebruiker alle dimensies onderzoeken, en dit
met heel snelle responstijden.
75. Heaven is…
- where the police are British,
- the chefs Italian,
- the mechanics German,
- the lovers Brazilian,
- and… it's all organized by the
Swiss.
77. Hell is…
- where the police are German,
- the chefs British,
- the mechanics Italian
- the lovers Swiss,
- and… it's all organized by the
Brazilians.
There are 3 implications in the Post-PC eraThe 1st is choice computing – applications and devices are chosen by users, not IT, the user becomes the center of the IT universeThe 2nd is the disaggregation of data – while data centers are consolidating across multiple organizations, the data itself is becoming disaggregated. Most users have on average between 3-7 devices and information gets replicated across these devices; data can live in the cloud or on premise. As a result there is a need in the marketplace for a consistent set of policies applied to data, regardless of its location or the device upon which it resides.The 3rd is around emerging roles in the Post-PC era, all focused on enhancing the experience and productivity of the New Users. There is the New Developer who will use new tools and techniques available to enhance the New User experience. There is the Cloud Architect who will ensure information can be made available anywhere and at any time. There is the Data Scientist who makes sure the right set of information is made available to the right user and the right time. These three implications have profound implications to the architecture, technologies and best practices used by organizations as the Post-PC era becomes more and more a part of our daily lives.