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What is
SharePoint?
John Doe
14 octobre 2017
#SPSParis
Merci pour votre soutien
An initiative to healthcare
analytics with Office 365
& PowerBI
Long Flight
6 hours
7 hours
About Me
• Nearly 10 years experiences
focused on Microsoft Stack.
• Solution Architect, Microsoft – FPT
Asia Pacific - Si...
• The Wave of Digital Transformation Today
• Digital Transformation Landscape in Healthcare
• Business Intelligence for Ho...
Your Home
I used to be addicted to social. Did you?
Your Country
Your Workplace
Your Shopping
Ana Airline (JP) Self-Service
Baggage
Would you like to be safer
with intelligent car?
Digital disruption is real
Largest accommodation
provider owns no real estate
Most popular media owner
creates no content
...
Are we accidentially becoming a victim in digital world?
Healthcare Digital
Transformation
Healthcare’s Digital Transformation
• Healthcare Digital Transformation is
not just a technology.
• Healthcare Digital Tra...
Four key digital themes for healthcare
Smart Care
Smart care will improve patient outcomes
and lower the cost of healthcar...
What is Healthcare Analytics?
“Health care analytics is a term used to describe the healthcare
analysis activities that ca...
Data-Driven Healthcare
• Make data to be meaningful for
• Descriptive analytics (describing what
has happened).
• Predicti...
Some cases with initiative of analytics
• Projecting expected volume of patients
• Estimation or prediction of patient vol...
Why Power BI for the hospital?
1. Similar experience with Excel
2. Microsoft eco-system
3. Easy to design a visual dashboa...
Other seen benefits….
• Fast deployment with a hybrid solution, ease of
maintenance and 99.9% uptime SLA
• Live connection...
Data sources Power BI service
SaaS solutions
e.g. Marketo, Salesforce, GitHub,
Google analytics
On-premises data
e.g. Anal...
Power BI REST APIsPower BI Desktop
Prepare Explore ShareReport
0110001
00010110
Data sources
SaaS solutions
e.g. Marketo, ...
Faster time to solution and ease of
management
 Power BI is a Software as a Service (SaaS) BI solution
o No need to setup...
Built-in connectivity to all of
your data
 Lowered IT investment in ETL infrastructure
 Data from your organization
o Co...
Create organizational content packs for
your org
IT challenges
Management of BI
systems
Variety of data sources
Managing d...
Get instant value from your cloud
data sources
 No need to build connectors or develop
data extraction processes for your...
Consume structured/unstructured data using
other Azure services
IT challenges
Management of BI
systems
Variety of data sou...
Live connectivity to your on-premises dataIT challenges
Management of BI
systems
Variety of data sources
Managing data in ...
Connect to data from your filesIT challenges
Management of BI
systems
Variety of data sources
Managing data in the
cloud
I...
Keep your data where it is and connect
securely
 Realize the benefits of a SaaS-based BI
solution without moving your dat...
Open APIs for integration of your
applications
 Programmatically access Power BI
resources (datasets, tables)
 Use the R...
Keep your data current
 Real-time dashboards
o using the Power BI REST API or
o with built-in Azure Stream Analytics inte...
Scheduled refresh with Power BI
Personal Gateway
 Personal Gateway empowers the business
analyst to securely and easily r...
Easy to use and drive adoption
 Easy to use
o For end users: intuitive and interactive
dashboards and reports
o For BI an...
Power BI Architecture
Connect live to your on-premises data
Share report via SharePoint Online
• Embed HTML source code to
general SharePoint Web Part
• Modern Page supports Power BI...
Data Analytics with R in Power BI
• Support R programming with R
chart in Power BI Desktop.
• Support R-powered custom
vis...
Power BI Security Consideration
• Power BI is added to Microsoft
Trust Center which complies
which HIPPA and HITECH Act
(U...
Key takeaways
• Greater visibility on patient data, physician and nurse performance,
medical population and station.
• Mon...
Demo
Additional References
• Microsoft Case Study: https://powerbi.microsoft.com/en-
us/blog/power-bi-is-changing-the-way-healt...
Thank you, for your for #SPSParis
Twitter @nnthuan
Email: thuan@outlook.com
An initiative to healthcare analytics with office 365 and power bi spsparis2017
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An initiative to healthcare analytics with office 365 and power bi spsparis2017

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Today data is a valuable asset in every organization, especially in healthcare industry. For example, with data about number of patients by location, hospital shall have the ability to offer more services to take care of them rapidly by building more medical stataion. Or with doctor's workload you know how to start hiring more human resources to balance the workload. With Office 365 - a digital workplace platform and PowerBI - a business intelligence and analytics on Microsoft Cloud service, let's have a look at how the digital transformation is initiated for healthcare industry.

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  • Microsoft Power BI for Healthcare Industry Data Visualization. Power BI provides Hawk Eye View of Insights from hidden data sources to Healthcare providers that are required to minimize costs, maximize revenue, improve patient service, abide regulatory compliances. https://goo.gl/WF3R2Z
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An initiative to healthcare analytics with office 365 and power bi spsparis2017

  1. 1. What is SharePoint? John Doe 14 octobre 2017 #SPSParis
  2. 2. Merci pour votre soutien
  3. 3. An initiative to healthcare analytics with Office 365 & PowerBI
  4. 4. Long Flight 6 hours 7 hours
  5. 5. About Me • Nearly 10 years experiences focused on Microsoft Stack. • Solution Architect, Microsoft – FPT Asia Pacific - Singapore • 7 years of Microsoft MVP • Blog at http://thuansoldier.net • Twitter at @nnthuan • Email at thuan@outlook.com
  6. 6. • The Wave of Digital Transformation Today • Digital Transformation Landscape in Healthcare • Business Intelligence for Hospital Management • Power BI Introduction • Collaborative Workforce with Power BI and Office 365 Agenda
  7. 7. Your Home
  8. 8. I used to be addicted to social. Did you?
  9. 9. Your Country
  10. 10. Your Workplace
  11. 11. Your Shopping
  12. 12. Ana Airline (JP) Self-Service Baggage
  13. 13. Would you like to be safer with intelligent car?
  14. 14. Digital disruption is real Largest accommodation provider owns no real estate Most popular media owner creates no content World’s largest taxi company owns no taxi World’s most valuable retailer has no inventory …and more
  15. 15. Are we accidentially becoming a victim in digital world?
  16. 16. Healthcare Digital Transformation
  17. 17. Healthcare’s Digital Transformation • Healthcare Digital Transformation is not just a technology. • Healthcare Digital Transformation is much of business intelligence and data-driven analytics for patient history, clinical medicine, physician performance, EHR, EMR… and more. • Healthcare Digital Transformation starts by extracting existing data into actionable insights. • Patient and Data-Driven are key drivers to the transformation
  18. 18. Four key digital themes for healthcare Smart Care Smart care will improve patient outcomes and lower the cost of healthcare through the use of precision medicine, robotics and medical printing Care anywhere Care anywhere will see healthcare move closer to the home, through advances in the connected home and virtual care, which will also help broaden access, especially in maturing economies Empowered care Empowered care, through the development of “living services”, will enable citizens to take a more active role in managing their own well-being and healthcare Intelligent health enterprise Intelligent health enterprise will provide data-driven solutions that enable healthcare workers and their enterprises to maximize their efficiency and allow patient health to be monitored more effectively in real time.
  19. 19. What is Healthcare Analytics? “Health care analytics is a term used to describe the healthcare analysis activities that can be undertaken as a result of data collected from four areas within healthcare; claims and cost data, pharmaceutical and research and development (R&D) data, clinical data (collected from electronic medical records (EHRs)), and patient behavior and sentiment data (patient behaviors and preferences, (retail purchases e.g. data captured in running stores)” - Wikipedia
  20. 20. Data-Driven Healthcare • Make data to be meaningful for • Descriptive analytics (describing what has happened). • Predictive analytics (predicting what will happen) • Prescriptive analytics (determining what to do about it)
  21. 21. Some cases with initiative of analytics • Projecting expected volume of patients • Estimation or prediction of patient volume • Patient wait time for consulting • In-queue time for the emergency room • Performance Analysis • Automated monitoring of Employees (doctor, nurse, paramedics..) • Number of completed cases…. • Predicting staffing need • Heathcare Operation • Hospital Revenue • Case Staticstic and Report • Offer better patient experience • Personalized experiences • Easy syncing with their own mobile devices • Remote access and homecare
  22. 22. Why Power BI for the hospital? 1. Similar experience with Excel 2. Microsoft eco-system 3. Easy to design a visual dashboard (clinical, hospital revenue, patient, physician doctor…..) 4. Data transformation is simplified 5. Collaborative dashboard among physician, nurse and executives.
  23. 23. Other seen benefits…. • Fast deployment with a hybrid solution, ease of maintenance and 99.9% uptime SLA • Live connection to your data sources, on-premises and in the cloud • Keep healthcare & patient data secure, use groups to manage access and sharing. • Integrated with familiar Microsoft products, utilizes infrastructure, scale and availability in Azure & Office 365 • Open APIs for integration and new scenarios, e.g. real-time insights from IoT connected devices. • Content delivery (dashboards, report, models) for ease of consumption across hospital
  24. 24. Data sources Power BI service SaaS solutions e.g. Marketo, Salesforce, GitHub, Google analytics On-premises data e.g. Analysis Services Custom content packs Corporate data sources or external data services Azure services Azure SQL, Stream Analytics… Excel files Workbook data / data models Power BI Desktop files Data from files, databases, Azure, and other sources Data refresh Visualizations Live dashboards Content packs Sharing & collaborationNatural language query Reports Datasets01001 10101 Overview of Power BI
  25. 25. Power BI REST APIsPower BI Desktop Prepare Explore ShareReport 0110001 00010110 Data sources SaaS solutions e.g. Marketo, Salesforce, GitHub, Google analytics On-premises data e.g. Analysis Services Custom content packs Corporate data sources or external data services Azure services Azure SQL, Stream Analytics… Excel files Workbook data / data models Power BI Desktop files Data from files, databases, Azure, and other sources Power BI service Data refresh Visualizations Live dashboards Content packs Sharing & collaborationNatural language query Reports Datasets01001 10101
  26. 26. Faster time to solution and ease of management  Power BI is a Software as a Service (SaaS) BI solution o No need to setup your own hardware o 99.9% uptime SLA o Grows with your needs for number of users and data volumes o Ease of maintenance with automatic updates  Realize the benefits of a SaaS-based BI solution without moving your data to the cloud  More time to focus on business needs and creating better solutions for end users IT challenges Management of BI systems Variety of data sources Managing data in the cloud Integration with existing environment Keeping data current Ease of use and adoption
  27. 27. Built-in connectivity to all of your data  Lowered IT investment in ETL infrastructure  Data from your organization o Content published by others in your org (organizational content packs)  Data from services o SaaS services that you already use o Office 365 for Admin reporting  Data from files o Import data from Excel or Power BI Desktop  Big data and more o Azure data services, e.g. HDI, ASA, AML etc. o On-premises data sources, e.g. SSAS IT challenges Management of BI systems Variety of data sources Managing data in the cloud Integration with existing environment Keeping data current Ease of use and adoption
  28. 28. Create organizational content packs for your org IT challenges Management of BI systems Variety of data sources Managing data in the cloud Integration with existing environment Keeping data current Ease of use and adoption  IT works with the business analysts to create content packs for your organization  Content packs include o pre-built dashboards o reports o pre-defined data models o embedded queries  IT can focus on providing authoritative datasets to analysts and end users, instead of developing reports Your organizational content pack here Global Sales
  29. 29. Get instant value from your cloud data sources  No need to build connectors or develop data extraction processes for your SaaS solutions  Business can quickly start with solution- specific content packs which include o pre-configured dashboards o reports o data models o embedded queries  Users can explore data with fast data processing  Automatic data refresh is built-in IT challenges Management of BI systems Variety of data sources Managing data in the cloud Integration with existing environment Keeping data current Ease of use and adoption
  30. 30. Consume structured/unstructured data using other Azure services IT challenges Management of BI systems Variety of data sources Managing data in the cloud Integration with existing environment Keeping data current Ease of use and adoption  Connect directly to data from Azure services, including o Azure SQL Database o Azure SQL Database Auditing o Azure Stream Analytics o Azure SQL Data Warehouse  Integration with Azure HDInsight along with its components including SPARK  Push live, streaming data from Azure Stream Analytics with built-in destination for Power BI for real-time dashboards at any scale  Integration with other Azure services will open up new scenarios, without writing thousands of lines of code Additional Azure service integration planned Azure Stream Analytics SQL Azure Additional Azure service integration planned
  31. 31. Live connectivity to your on-premises dataIT challenges Management of BI systems Variety of data sources Managing data in the cloud Integration with existing environment Keeping data current Ease of use and adoption Live Power BI dashboards and reports Cloud On-premises SQL Server Analysis Services Live Query  Connect live to your existing on-premises data, including SQL Server Analysis Services o You can keep your data on-premises and enable BI analysts / end users to create Power BI reports o Connect to and refresh data securely via Azure Service Bus (SSL encrypted connection) o Service Bus only uses an outbound port, it does not require an inbound port to be opened on the on-premises firewall
  32. 32. Connect to data from your filesIT challenges Management of BI systems Variety of data sources Managing data in the cloud Integration with existing environment Keeping data current Ease of use and adoption  Use an Excel workbook (2007-2013) as a dataset for your dashboards and reports  Upload Excel workbooks from o your computer o OneDrive for Business or Personal  Any changes to a workbook on OneDrive appear automatically in the dashboards and reports  Get data and reports from your Power BI Desktop files
  33. 33. Keep your data where it is and connect securely  Realize the benefits of a SaaS-based BI solution without moving your data to the cloud  Everything in the service is encrypted - Power BI uses HTTPS for all traffic  For on-premise sources, e.g. SSAS, role-based and row-level data security is applied  Data remains on-premise, only query is stored in Power BI  Power BI requires valid accounts that meet the requirements of the specific data source. Please see table for authentication methods IT challenges Management of BI systems Variety of data sources Managing data in the cloud Integration with existing environment Keeping data current Ease of use and adoption Authentication method Select data sources that use this method Basic SQL Azure, Marketo, ODATA Feed Account key Blob store. Table store, HDInsight OAuth Salesforce, Google Analytics, ODATA Feed Marketplace key Azure Marketplace Anonymous ODATA Feed, Web Data authentication methods
  34. 34. Open APIs for integration of your applications  Programmatically access Power BI resources (datasets, tables)  Use the REST API to push data directly from your application into Power BI  Uncover real-time insights from devices, sensors and applications  Secure access to Power BI service using Azure Active Directory and OAuth 2.0 authentication IT challenges Management of BI systems Variety of data sources Managing data in the cloud Integration with existing environment Keeping data current Ease of use and adoption Power BI SaaS Service Power BI User Account Your Service or Application Push Data Component Push Content Component Datasets Reports Dashboards
  35. 35. Keep your data current  Real-time dashboards o using the Power BI REST API or o with built-in Azure Stream Analytics integration  Live connectivity o data is queried as user interacts with dashboard or report o to existing on-premise sources, e.g. Analysis Services, with auto-refresh o to Azure SQL Database with auto-refresh  Automatic or scheduled refreshes o Regardless of where data lives o SaaS data sources (automatic) o Schedule refreshes for on-premise data sources with Personal Gateway IT challenges Management of BI systems Variety of data sources Managing data in the cloud Integration with existing environment Keeping data current Ease of use and adoption Data refresh architecture Live query Popular SaaS Solutions Live dashboards and reports Dynamics Marketing Power BI SQL Server Analysis Services (SSAS) Secure Credential Store
  36. 36. Scheduled refresh with Power BI Personal Gateway  Personal Gateway empowers the business analyst to securely and easily refresh on-premise data  No help from IT required to setup Personal Gateway (on local machine) or schedule refreshes  With the Power BI Desktop or Excel and the Personal Gateway, data from a wide range of on-premises sources can be imported and kept it up-to-date IT challenges Management of BI systems Variety of data sources Managing data in the cloud Integration with existing environment Keeping data current Ease of use and adoption
  37. 37. Easy to use and drive adoption  Easy to use o For end users: intuitive and interactive dashboards and reports o For BI analysts: familiar tools to create data models and reports o For IT: getting data from SaaS and other data sources and management of users/access  Easy to share o Easily share dashboards and reports across your organization IT challenges Management of BI systems Variety of data sources Managing data in the cloud Integration with existing environment Keeping data current Ease of use and adoption
  38. 38. Power BI Architecture
  39. 39. Connect live to your on-premises data
  40. 40. Share report via SharePoint Online • Embed HTML source code to general SharePoint Web Part • Modern Page supports Power BI (preview) Web part • Use Power BI JavaScript API (https://microsoft.github.io/PowerB I-JavaScript/). • Permission is still controlled by Power BI • Require Power BI Pro license
  41. 41. Data Analytics with R in Power BI • Support R programming with R chart in Power BI Desktop. • Support R-powered custom visual(e.g., timer series forecasting chart) (http://app.powerbi.com/visuals) • Python Script is not supported.
  42. 42. Power BI Security Consideration • Power BI is added to Microsoft Trust Center which complies which HIPPA and HITECH Act (USA). • Power BI uses Azure Active Directory (AAD) to authenticate users. • Data is stored in Azure BLOB and Azure SQL Database. • Power BI Desktop Privacy • Look for Power BI Security Whitepaper for more details
  43. 43. Key takeaways • Greater visibility on patient data, physician and nurse performance, medical population and station. • Monitor hospital and healthcare quality indicators. • Visual report of cases (location, type of case….) • Integrate with multiple data sources from healthcare systems (e.g. EMR, EHR, PHR….) • Initiative to healthcare data analytics and data science (e.g. using R to model data…) • First step to exploring data and step up to data science with Microsoft Stack (Azure ML, Azure Data Factory, Azure SQL Data Warehouse, Azure HD Insight).
  44. 44. Demo
  45. 45. Additional References • Microsoft Case Study: https://powerbi.microsoft.com/en- us/blog/power-bi-is-changing-the-way-health-services-are- provided/ • Power BI Custom Visualization: https://powerbi.microsoft.com/en- us/documentation/powerbi-custom-visuals-office-store/ • Synoptic Designer for Power BI: https://synoptic.design/ • Sample: http://community.powerbi.com/t5/Data-Stories- Gallery/Healthcare-Customer-Analytics-with-Power-BI/td-p/20109 • Forum: https://community.powerbi.com/t5/Forums/ct-p/Forums
  46. 46. Thank you, for your for #SPSParis Twitter @nnthuan Email: thuan@outlook.com

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