Keynote from Anthony Saxby, Microsoft UK, SQL Server Product Manager

2. 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?

3. CUSTOMER
SERVICE
PROVIDER
WINDOWS
AZURE
1CONSISTENT
PLATFORM

6. Business
Transformation
Integration
Portals
Business & Clinical
Intelligence, Big Data
Simplify Processes
to Deliver Benefits
Ascribe Consulting

7. 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

9. All content is commercial in confidence and bound by NDA

10. All content is commercial in confidence and bound by NDA

11. All content is commercial in confidence and bound by NDA

12. All content is commercial in confidence and bound by NDA

13. All content is commercial in confidence and bound by NDA

14. All content is commercial in confidence and bound by NDA

15. USER STORIES
Medical and Operational Use Cases
All content is commercial in confidence and bound by NDA

16. 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

17. 1. Identify alcohol and substance misuse A&E attendances
2. Note the diagnostic intervention sought
3. Note the mode of arrival in advance of recording for statutory reporting purposes
4. Note the incident location relating to the ambulance call
5. Profile the incident using the notes captured by the ambulance crew and on
handover to Hospital
6. Link this unstructured data back to structured data
7. Note volume of ECGs and other diagnostic tests ordered and check they have been
fulfilled
8. Analyse the blockages in the A&E lean process based upon markers of process
blockages in notes
9. Cost activity at point of intervention
10. Identify self-harming patients
11. Assess the impact of support teams and programmes designed to cut cost and
improve services
12. Assess suicide risk and take action
13. Explain the likely causes of key performance standards breaches
14. Assess whether my patients were treated with dignity and respect
15. 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

18. All content is commercial in confidence and bound by NDA

19. All content is commercial in confidence and bound by NDA

20. All content is commercial in confidence and bound by NDA

21. All content is commercial in confidence and bound by NDA

22. All content is commercial in confidence and bound by NDA

23. HEALTHPLAZA DEMONSTRATION
How does it work?
All content is commercial in confidence and bound by NDA

24. All content is commercial in confidence and bound by NDA

25. All content is commercial in confidence and bound by NDA

26. All content is commercial in confidence and bound by NDA

27. All content is commercial in confidence and bound by NDA

28. Unstructured Data Dimensions
Alcohol
Word Analytics
Busy
Drugs
SelfHarm
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
SelfHarm
Ward
Measures
PeriodArrivalToDischarge
Is4hrTriageBreach
TotalTriageWaitPeriod
AttendanceCount
TriageWaitPeriodMins
Diedwithin30days
MRICount
XrayCount
ECGCount
CTCount
MRIUnstructuredCount
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 OfReferral 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
AELength OfStay (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

29. MEC Global
Media investment and management
#1 Media investment organisation - GroupM
#3 MEC Digital Media Agency - e-consultancy

30. ONLINE ADVERTISING

31. 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

32. 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
Spend(billions)
Online
Newspaper
Magazine
TV
Source: eMarketer
National debt of Ukraine

33. 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.

34. 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

35. CHANGING CONSUMER
http://www.youtube.com/watch?v=heSudg-tfIk

36. PDW SCENARIO - ATTRIBUTION
BUSINESS 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

37. CHALLENGES
SPEED:
• From data acquisition to availability for analytics
PEOPLE:
• Skills
SCALE:
• Physical storage

38. BAKE OFF
Dataload
PDW
SQL
PDW
SQL
Attribution
report
+35%

39. Great
Cost
Skills (operational /
Db
Great
Specialised
Ultra Big data
Next Gen
Data Ownership
FastTrack
Great
Scale
PDW2 impact?
CONSIDERATIONS

40. 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

41. WHAT NEXT ?
Enhanced
PDW query
engine
Data Scientists
BI Users
DB Admins
Regular
T-SQL
Results
Structured data
Traditional schema-based DW
applications
PDW V2
Social
Apps
Sensor
& RFID
Mobile
Apps
Web
Apps
Unstructured data
HadoopPolybase

42. LESSONS LEARNT
EXPERTS:
• Saves time and money in the long run
REALISTIC:
• Start small
PLAN:
• Vendors, both tin and consultancy - time

44. •
•
•
•
•
•