Ensuring Technical Readiness For Copilot in Microsoft 365
Fashion Dashboard
1. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER
Fashion
#DASHBOARD
How are you doing in [local] SOCIAL MEDIA?
STEPHANALBER@GMAIL.COM // @FRANCI_DE
2. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER
5 things you might do wrong
in [local] social media
// Engage Your are not able to engage people taking and sharing pictures or your products?
// Present Your shop-windows are not interesting?
// #Teach Your customers are not using hashtags?
// Convert People check in but don’t take pictures or tweet about you?
// Influence You don’t have fashion influencers talking about brand?
STEPHANALBER@GMAIL.COM // @FRANCI_DE
3. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER
You can’t manage
what you don’t measure
STEPHANALBER@GMAIL.COM // @FRANCI_DE
4. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER
The metrics
Hashtag/ Location +
Location
Keyword Keywords
based
based combined
Amount of
Amount of Measure
Quantity Pictures/
Mentions Engagement
Checkins
Review Negative vs. In-store /
Quality single Positive shop-window
Pictures Mentions Analysis
STEPHANALBER@GMAIL.COM // @FRANCI_DE
5. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER
Select your locations
STEPHANALBER@GMAIL.COM // @FRANCI_DE
11. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER
H&M
Possible issue: Entrance hall is not
practical / interesting for pic sharing
many small items, few unique/large items
STEPHANALBER@GMAIL.COM // @FRANCI_DE
12. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER
Case study
PRADA gets 4.4x more
shared pictures per checkins
than H&M
STEPHANALBER@GMAIL.COM // @FRANCI_DE
13. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER
Utilization
- Competitive benchmarking
- Measure influence of local,
nationwide & global campaigns
- Analyze store layouts
- Get customer perspective
- Identify store hours/days peaks
- Compare (store) locations
- Research tool for fashion journalists
- etc.
STEPHANALBER@GMAIL.COM // @FRANCI_DE
14. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER
More stats to come
- Compare brands/stores nationwide
- Compare cities
- Find influencers
- Include likes in stats
- Compare with Foursquare data
- Analize hashtags
- Connect with Foursquare pages (managed loca-
tions)
STEPHANALBER@GMAIL.COM // @FRANCI_DE
15. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER
Target audience
- Stores / retail chains
- Fashion magazines / journalists
- Brands / Designers
Business model
Software as a service
- monthly fee (based on feature set)
- indiviual analysis
STEPHANALBER@GMAIL.COM // @FRANCI_DE
16. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER
Project SWOT Analysis
Helpful Harmful
Internal Strengths: Weaknesses:
- Tech Experience (10+ years) - 1st Start-Up in US
- Fast build - New to Fashion
- Network / Infrastructure Industry
(Noise Marketing)
- Start-Up Experience
- Innovative: Competetive Benchmarking
External Opportunities: Threats:
- More sources to come - Depends on sources /
(Pinterest) APIs
- Spin-Off to other markets
- Trend: SocialLocalMobile
- Fast revenue
- Diverse types of clients
STEPHANALBER@GMAIL.COM // @FRANCI_DE
17. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER
About me: STEPHAN ALBER
DEVELOPER & ENTREPRENEUR
international experience
STEPHANALBER@GMAIL.COM // @FRANCI_DE
18. FASHION DASHBOARD DECODED FASHION HACKATHON // NYC 02/02/2013 - STEPHAN ALBER
About me: STEPHAN ALBER
DEVELOPER & ENTREPRENEUR
BACHELOR OF SCIENCE: Online Media
interdisciplinary skills - technology, economics, design
ENTREPRENEUR
2001-2008 // Social Network / Event Guide [DE]
2010-2012 // Social Media / Web Engineering [DE/CH/AT/FR/US]
EMPLOYEE
2007-2009 // Developer [DE]
2012-2013 // Developer [US]
STEPHANALBER@GMAIL.COM // @FRANCI_DE