hybrid analytics in healthcare: leveraging power bi and office 365 to make smarter business...
DESCRIPTION
As organizations realize the cost savings and scalability benefits of hybrid environments, the focus turns to implementing an analytics platform in these new environments. On-premises vs. cloud is the big choice, but how are some companies leveraging the best of both worlds? Perficient and UnityPoint Health discussed the benefits of Power BI and Office 365, and how one technology-savvy healthcare provider is leveraging its hybrid environment of Power BI, Excel-enabled dashboards and SharePoint 2013.TRANSCRIPT
Hybrid Analytics in Healthcare: Leveraging Power BI
and Office 365 to Make Smarter Business Decisions
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Perficient is a leading information technology consulting firm serving clients throughout
North America.
We help clients implement business-driven technology solutions that integrate business
processes, improve worker productivity, increase customer loyalty and create a more agile
enterprise to better respond to new business opportunities.
About Perficient
3
• Founded in 1997
• Public, NASDAQ: PRFT
• 2013 revenue $373 million
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Columbus, Dallas, Denver, Detroit, Fairfax, Houston,
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California, Oxford (UK), Philadelphia, Southern California,
St. Louis, Toronto, Washington, D.C.
• Global delivery centers in China and India
• >2,200 colleagues
• Dedicated solution practices
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Perficient Profile
BUSINESS SOLUTIONS
Business Intelligence
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Enterprise Performance Management
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National Service ProviderPerficient is a top Microsoft National Service Provider (NSP), one of only 34 elite
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Microsoft Partner Advisory Councils: SharePoint, Office 365 and Unified
Communications.
Solution AreasPerficient is a leader in delivering solutions with Office 365, Azure, SharePoint,
Business Intelligence, social business solutions including Yammer, as well as Lync,
Dynamics CRM and Sitecore.
National Healthcare Practice
Experts in Consumer-Driven Healthcare Technology
HEALTH PLAN PROVIDER
Connected
Health
Business Intelligence
and Analytics
Interoperability
& Integration
Information
Exchange
Regulatory
Compliance
Solutions & Services
CONSUMERS
Glo
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ters
/Off
sh
ore
De
live
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Do
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Select Clients
Speakers
Duane Schafer
Director
Microsoft BI Practice
Perficient
Steven Gregor
Technical Consultant
Perficient
Heidi Rozmiarek
Assistant Director
IT Development
Meriter | UnityPoint Health
What I’ll cover:
• Architectural Components & Functions
• Architecture Options
• On Premises, Hybrid, Cloud
• Delivery Considerations
Architectural Components - Core Functions
• Structured / Unstructured Data
• Staging / Permanent Storage
• Integration Services• MDM / Quality
Services• ODS / DW Structures• Enterprise Business
Key creation• Metadata Storage• Security
• (BISM) Semantic / Abstraction Layer
• KPI Creation• Aggregations• Hierarchies• Business Rules• Data Refresh /
Storage modes• Metadata Creation /
Consumption• Security
• Portal Services• Traditional / Self-
service Reporting• Dashboards /
Scorecards• Data Discovery• Internal / External
Users• Information
Segmentation• Metadata
Consumption• Security
Data Architecture Analytics Delivery
Core Technologies – On Premises
SQL Server• DBMS (DBMS
Services)• SSIS (Integration
Services)• MDS / DQS (MDM /
Quality Services)
SQL Server• SSAS (Analytic
Services)• Disk-based vs In-
memory processing• Multidimensional• Tabular• Power Pivot
• SSRS (Reporting Services)
SharePoint• BI Center / Admin• Delivery Services
• Excel Connectivity• Power Pivot
Gallery• BISM Connectors
Office (Excel)• Power Query• Power Pivot• Power View• Power Map
Data Architecture Analytics Delivery
Core Technologies – Hybrid
SQL Server• DBMS (DBMS
Services)• SSIS (Integration
Services)• MDS / DQS (MDM /
Quality Services)
SQL Server• SSAS (Analytic
Services)• Disk-based vs In-
memory processing• Multidimensional• Tabular• Power Pivot
• SSRS (Reporting Services)
SharePoint Online• PowerBI Sites / Admin
(BI Center)• Delivery Services
• Excel Connectivity• Data Management
GatewayOffice 365 (PowerBI & Excel)• Power Tools• Q&A (Natural
Language Processing)• Power View
Forecasting
Data Architecture Analytics Delivery
Core Technologies – Cloud
SQL Server (Azure VM)• DBMS (DBMS
Services)• SSIS (Integration
Services)• MDS / DQS (MDM /
Quality Services)
SQL Server (Azure VM)• SSAS (Analytic
Services)• Disk-based vs In-
memory processing• Multidimensional• Tabular• Power Pivot
• SSRS (Reporting Services)
SharePoint Online• Power BI Sites / Admin
(BI Center)• Delivery Services
• Excel Connectivity• Data Management
GatewayOffice 365 (Power BI & Excel)• Power Tools• Q&A (Natural
Language Processing)• Power View
Forecasting
Data Architecture Analytics Delivery
*Note – SQL 2014 DW Edition in Azure is an option here
Big Data Technologies – On Premises
Analytic Platform System • PDW
• Structured Data• MPP Architecture• Petabyte Scale
• HDInsight• Unstructured Data• Parallelism across
commodity HW• Based on Apache
Hadoop
SQL Server• SSAS (Analytic
Services)• Disk-based vs In-
memory processing• Multidimensional• Tabular• Power Pivot
• SSRS (Reporting Services)
SharePoint• BI Center / Admin• Delivery Services
• Excel Connectivity• Power Pivot
Gallery• BISM Connectors
Office (Excel)• Power Query• Power Pivot• Power View• Power Map
Data Architecture Analytics Delivery
PolyBase for distributed queries
Big Data Technologies – Hybrid
Analytic Platform System • PDW
• Structured Data• MPP Architecture• Petabyte Scale
SQL Server• SSAS (Analytic
Services)• Disk-based vs In-
memory processing• Multidimensional• Tabular• Power Pivot
• SSRS (Reporting Services)
SharePoint Online• Power BI Sites / Admin
(BI Center)• Delivery Services
• Excel Connectivity• Data Management
GatewayOffice 365 (Power BI & Excel)• Power Tools• Q&A (Natural
Language Processing)• Power View
Forecasting
Data Architecture Analytics Delivery
• HDInsight (Azure)• Unstructured Data• Parallelism across
commodity HW• Based on Apache
Hadoop
PolyBase for distributed queries
Big Data Technologies – Cloud
Analytic Platform System • PDW
• Structured Data• MPP Architecture• Petabyte Scale
SQL Server (Azure VM)• SSAS (Analytic
Services)• Disk-based vs In-
memory processing• Multidimensional• Tabular• Power Pivot
• SSRS (Reporting Services)
SharePoint Online• Power BI Sites / Admin
(BI Center)• Delivery Services
• Excel Connectivity• Data Management
GatewayOffice 365 (Power BI & Excel)• Power Tools• Q&A (Natural
Language Processing)• Power View
Forecasting
Data Architecture Analytics Delivery
• HDInsight (Azure)• Unstructured Data• Parallelism across
commodity HW• Based on Apache
Hadoop
PolyBase for distributed queries
Segment users based on technical abilities
Delivery Considerations
Delivery Considerations
Introduce technologies according to their capabilities
Power BI Overview
What I’ll cover:
• Introduce Power BI
• Overview of features
• Security and Data Management Gateways
• Live demo of various components
• Conclusion
Power BI:
• Is an analytical component of Microsoft Office 365 cloud service
• Can be thought of as a cloud-based alternative to the familiar “BI Center” that exists in typical on-premises SharePoint farms
• Provides self-service business intelligence tools that integrate very closely with Excel
Introducing Power BI
Features and abilities:
• Allows users to tap into enterprise source data that is stored either on premises or in the cloud, for example using the Azure service
• Clean, transform and merge data with built in tools such as Power Query
• Model your data using Power Pivot
• Create relationships between source tables, ex. from a DW
• Build custom measures using business friendly DAX language
• Construct hierarchies and KPIs
• Leverage in-memory engine for query speed optimization
• Perform automated data refreshes from your source data
Overview of Power BI Features
More Features:
• Visualize and explore your data using Power View
• Can be developed by IT and/or “self-service” data discovery tool
• Drag and drop simplified development
• Visualization layer that runs on top of a MD data source, such as a Power Pivot Model
Overview of Power BI Features
Additional miscellaneous functionality:
• Q&A natural query language searches
• Ex: “Total revenue by year for the state of Florida”
• Power View statistical model forecasting
• Power Map
• Visualize geospatial data layered onto Bing maps
Overview of Power BI Features
Security:
• Security model is similar to traditional SharePoint
• Secure your sites and content using SP groups and users
• Can be integrated with your existing active directory to manage credentials
Data Management Gateways:
• Provides the ability to perform automatic data refreshes
• Client side DMG agent used to expose your enterprise data to Power BI
• Tool is installed on DB server, and registered in Office 365 Admin Center
Security and Data Management Gateways
Live Demo of Power BI
To wrap up, Power BI is:
• An analytical component of Office 365
• Intended to be business user friendly and unlock self-service capabilities
Introducing Heidi Rozmiarek from UnityPoint Health
• She will be describing how her team has successfully leveraged certain Microsoft Power Tools
Thank you for your time today!
Steven Gregor, Technical Consultant
Power BI Overview Conclusion
UnityPoint Health
Architecting a Successful Analytics Infrastructure
Who Is UnityPoint Health?
At a GlanceUnityPoint Health
13th
$3.7Billion
28,676TOTAL EMPLOYEES
$4.5 MillionYEARLY PATIENT VISITS
154,717ADMISSIONS
LARGEST NONPROFITHEALTH SYSTEM
TOTAL PROJECTED ANNUAL REVENUE
3,707/3,069LICENSED/STAFFED BEDS
The Simple Question
• It starts with a simple question...
“How many patients are visiting Clinic X per year?”
• And a follow-on question…
“Where do the patients that visit Clinic X live?”
• And another…
“Of the patients visiting clinic x, how many live in City A?”
• And another, slowly growing in complexity…
“Of those patients that live in city a, how many see Provider B?
The Simple Gets Complex
Until the answer requires aggregating, cleansing, and deciphering a
complex web of information.
Complex Questions, Simple Solutions
• The questions are complex, but the solutions don’t have to be.
• Guiding Principles for Tool Selection:
– Leverage existing investments where
possible
– Use tools users are familiar with to
empower self-service
– Maintain tight integration between systems
– Choose tools that are easily deployed
– Deliver cost effective solutions
• The Choice:
Microsoft Business Intelligence Platform
Architecting the Solution
Internal Data Stores
External Data Feeds
Collect Discover Share
Cloud Data
Collecting & Cleansing the Data
PowerQuery
Modeling the Data
PowerPivot
Modeling the Data
PowerPivot
Modeling the Data
PowerPivot
Visualizing & Reporting the Answer
PowerMap & PowerView
Visualizing & Reporting the Answer
PowerView & Excel Dashboards
Visualizing & Reporting the Answer
Visualizing & Reporting the Answer
Architecting the Future
Moving to a hybrid on-premises/cloud solution (Q4 2014 – 2015)
Key Takeaways
• Power BI transforms Excel
– PowerQuery allows for data acquisition & cleansing
– PowerPivot enables data modeling & cube development
– PowerView & PowerMap fuel advanced visualization
• Power BI & SSRS transform SharePoint into an analytics hub
– Sharing of PowerPivot data models
– Sharing of PowerView dashboards
– SSRS running in SharePoint integrated mode allows reports to sit alongside dashboards
• End user adoption is rapid
– Familiarity of Excel & SharePoint allows quick ramp up
– Analyst layer of the organization will flourish
– Build an environment that can “grow with you”
The Connected Healthcare Enterprisebit.ly/1wlOzQm
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