Insights and thoughts on the rise of the crowdfunding market - keynote Martijn Arets
MVP Cloud OS Week: Data Insights Keynote
-
Upload
csmyth501 -
Category
Technology
-
view
128 -
download
1
description
Transcript of MVP Cloud OS Week: Data Insights Keynote
How do I provision
and scale my LOB
Apps on demand?
How do I optimize my
fleet based on weather
and traffic patterns?
What’s the social
sentiment for my
brand of products?Can I enable my
workforce to work
where they want
on their device?
How do I better
predict future
outcomes?
CUSTOMER
SERVICE PROVIDER
WINDOWS AZURE
1CONSISTENT
PLATFORM
Business Transformation
Integration
PortalsBusiness & Clinical
Intelligence, Big Data
Simplify Processes to Deliver Benefits
Ascribe Consulting
Quality and Accreditation• Microsoft Gold Partner
– Business Intelligence
– Information Worker (SharePoint)
– Advanced Infrastructure
– Security Solutions
• Microsoft Partner of the Year Finalist 2011 – Business Intelligence
• Microsoft Partner of the Year Winner 2012 – Healthcare
• EHI Award Winner - 'Best use of IT to improve patient safety’
• Microsoft Healthcare Services Ready
– The only Healthcare specialist with this accreditation in the UK
• ISO9001 Quality Assurance with TickIT certification
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
USER STORIESMedical and Operational Use Cases
All content is commercial in confidence and bound by NDA
what do we stop doing because it doesn’t work?
how do we prove safety, quality and cost-effectiveness?
what underlying trends in consumption of services do we need to address?
where do other agency, personal and social care pressures impact health services?
how do I charge for and cost the scale and complexity of services that I provide?
All content is commercial in confidence and bound by NDA
1. Identify alcohol and substance misuse A&E attendances2. Note the diagnostic intervention sought3. Note the mode of arrival in advance of recording for statutory reporting purposes4. Note the incident location relating to the ambulance call5. Profile the incident using the notes captured by the ambulance crew and on
handover to Hospital6. Link this unstructured data back to structured data7. Note volume of ECGs and other diagnostic tests ordered and check they have been
fulfilled8. Analyse the blockages in the A&E lean process based upon markers of process
blockages in notes9. Cost activity at point of intervention10. Identify self-harming patients11. Assess the impact of support teams and programmes designed to cut cost and
improve services12. Assess suicide risk and take action13. Explain the likely causes of key performance standards breaches14. Assess whether my patients were treated with dignity and respect15. deploy a platform that is configurable to deal with RTAs, Sports injuries, perform
MEWS, Glasgow Coma Scores and other things
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
HEALTHPLAZA DEMONSTRATIONHow does it work?
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
All content is commercial in confidence and bound by NDA
Unstructured Data Dimens ions
Alcohol
Word Analytics
Busy
Drugs
Self Harm
Diagnostic Intervention (Intervention)
Sport
Absconded
Acuity
Bariatric
Body
BP - Blood Pressure
Cause
Condition
Department
GCS
Keyword - Catch all for history
Medication
Outcome
Third Party (Who attended with)
Patient Dignity
Pulse
RTC/RTC
SATS
Self Harm
Ward
Measures
Pe
rio
d A
rriv
al T
o D
isch
arge
Is 4
hr
Tria
ge B
reac
h
Tota
l Tr
iage
Wai
t P
eri
od
Att
en
dan
ce C
ou
nt
Tria
ge W
ait
Pe
rio
d M
ins
Die
d w
ith
in 3
0 d
ays
MR
I C
ou
nt
Xra
y C
ou
nt
ECG
Co
un
t
CT
Co
un
t
MR
I U
nst
ruct
ure
d C
ou
nt
Dimensions
Discharge Destination X X X X X X X X X X X
X X X X X X X X X X X
Disposal Method X X X X X X X X X X X
Source Of Referral X X X X X X X X X X X
Time (Arrival Time) X X X X X X X X X X X
Time (Discharged Time) X X X X X X X X X X X
Arrival Mode X X X X X X X X X X X
Patient X X X X X X X X X X X
Date (Discharged Date) X X X X X X X X X X X
Date (Leftdept Date) X X X X X X X X X X X
Age Group X X X X X X X X X X X
Diagnosis (First Diagnosis) X X X X X X X X X X X
Junk X X X X X X X X X X X
AE Length Of Stay (Triage X X X X X X X X X X X
Complaint X X X X X X X X X X X
Date (Arrival Date) X X X X X X X X X X X
Hospital X X X X X X X X X X X
Died Days After Leaving X X X X X X X X X X X
Structured to Unstructured
All content is commercial in confidence and bound by NDA
MEC Global
Media investment and management
#1 Media investment organisation - GroupM
#3 MEC Digital Media Agency - e-consultancy
ONLINE ADVERTISING
INDUSTRY POV
“Our experience is that marketing is becoming much
more data-driven. Clients want simplified use of the data,
and they want it to be brought together in one place. Most
digital campaigns are driven by these data and people want
dashboards with real-time data – this is critical.”
Sir Martin Sorrell
CHANGING LANDSCAPE
•US Digital budgets steadily increasing, expected to reach near TV levels by 2016 (Source: eMarketer)
•Event level tracking datasets will increase from 4PB to 10PB−(From 12,400,000,000,000 to 31,000,000,000,000 rows of data) *
0
10
20
30
40
50
60
70
80
2012 2013 2014 2015 2016
Sp
en
d (
bil
lio
ns)
Online
Newspaper
Magazine
TV
Source: eMarketer
National debt of Ukraine
CHANGING LANDSCAPE
• Traditional media budgets will remain constant; however the means to serve those ads is no longer “traditional”
• Digital magazine ads will be interactive. − Could rotate creative based on device usage patterns
• Out of home (OOH) ads could be changed depending on daypart, geo demographics, current events, etc.
CHANGING LANDSCAPE
• The tablet/laptop as a second screen will allow for a deeper immersive experience for the consumer− Digital ad could be served allowing viewers additional product
information for a recent TV product
• The way to achieve this is through data, specifically, real time access to data
CHANGING CONSUMER
http://www.youtube.com/watch?v=heSudg-tfIk
PDW SCENARIO - ATTRIBUTIONBUSINESS GOAL: • Measure the true impact of media activity on campaign objectives and ROI
TECHNICAL NEEDS:
• Data from multiple publishers (Google/DoubleClick, MS Advertising/Atlas, etc.)
• Daily FTP downloads and in some cases intra-day through APIs.
• Typical analysis tools – SAS, R, SSAS, Excel/PowerPivot
CHALLENGESSPEED: • From data acquisition to availability for analytics
PEOPLE:
• Skills
SCALE:
• Physical storage
BAKE OFFD
ata
load PDW
SQL
PDW
SQLAtt
rib
uti
on
re
po
rt
+35%
Great
Cost
Skills (operational /
Db
Great
Specialised
Ultra Big data
Next Gen
Data Ownership
Fast Track
Great
Scale
PDW2 impact?
CONSIDERATIONS
DELIVERED
UNDER 12 MONTHS:
• Product which is now running on 5 “significant” clients
REVENUE:
• Incremental revenue, projected ROI on investment 18 months
THINKING:
• Changed established thinking / supported new
• Moved us up a gear in a key strategic area
WHAT NEXT ?
Enhanced
PDW query
engineData Scientists
BI Users
DB Admins
Regular
T-SQLResults
Structured data
Traditional schema-based DW
applications
PDW V2
Social
Apps
Sensor
& RFID
Mobile
Apps
Web
Apps
Unstructured data
HadoopPolybase
LESSONS LEARNT
EXPERTS:
• Saves time and money in the long run
REALISTIC:
• Start small
PLAN:
• Vendors, both tin and consultancy - time
•
•
•
•
•
•