ISG Playbook
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CCSQ Data Camp
Purpose: The CCSQ Data Camps are multi-session, multi-day events focused on educating the CCSQ Data & Analytics user community featuring technical experts and special guests from various LOBs and ADOs. SAS Viya/CDR users are welcome to attend and automatically receive the invitation to these calls.
The recordings from previous Data Camps can be found in the section below. Slide decks or transcripts from the sessions are available upon request.
This year’s theme was “Growing CCSQ Enterprise Analytics - Learning to Walk Before We Run”, as our session speakers provided guidance and perspective on how data analysts, scientists, and support staff can learn to excel in the foundations of data management and analytics before we move to more advanced capabilities in the future.
The Q&A answers from the sessions can be found here on Confluence.
Agenda for Day One:
| Time | Session Title | Speaker(s) | Session Summary | Recording |
|---|---|---|---|---|
| 12:30 - 12:55pm ET | CCSQ Camp Kick Off | Michelle Schreiber (CMS) Rachel Dodge (Tantus Technologies) | Join this session to be introduced to our CCSQ Data Camp theme and sessions. CCSQ Leadership will provide opening thoughts to provide us perspective before our CCSQ Data Camp begins. | |
| 1:00 - 1:55pm ET | Welcome from CCSQ Leadership: CCSQ’s Vision and the Role of Data | Lee Fleisher, MD (CCSQ) Kurt Herzer, MD, PhD (CCSQ) | Data is foundational to CCSQ’s programs and policies, operational performance, and our approach for improving beneficiary outcomes. We will discuss CCSQ’s vision, how data is central to achieving that vision, and the role of data warehouse models, data governance, and accessible analytics—all topics that will be highlighted in greater detail during this year's Data Camp. As one of the largest components of CMS, CCSQ plays an important role in advancing the agency's data modernization efforts. This session will include time for Q&A with Data Camp participants. | |
| 2:00 - 2:55pm ET | CCSQ Data & Analytics: SAS Viya Overview | Pete Grivas (CVP) | During this session, we will provide a high-level overview of the technical details of SAS Viya, Hive, and AWS and how they work together. We’ll also cover some of the commonly used system macros which are available and designed to improve the SAS Viya user experience. The presentation will wrap up by covering some SAS Viya best practices as well as a demo so you can see these practices put into action. | |
| 3:00 - 3:55pm ET | An Overview of CMS Master Data Management (MDM) & MDM Provider Data Product Offerings | Sandhya Chitturi (NPSS) | This training covers an overview of the CMS Master Data Management (MDM) Program and CMS MDM Provider data product offerings. An in-depth deep dive into the MDM Comprehensive PMI/SPP and MDM PMI/SPP NPI Profile data products will be given. The presenter will walk through how to query the MDM PMI/SPP and MDM NPI Profile tables for several use cases. | |
| 4:00 - 4:55pm ET | CCSQ Data & Analytics: Zeppelin Overview | Sri Akula (CVP) Sam Rau (CVP) | During this session, we will provide a high-level overview of Zeppelin, an open-source notebook used for data analytics. After going through the basics, we will go more in depth about the languages and interpreters users can make use of while in the platform. Following a discussion about best practices within the Zeppelin platform, the presentation will also include a walkthrough of sample notebooks that make use of interpreters (JDBC, Python) currently available to users. |
Agenda for Day Two:
| Time | Session Title | Speaker(s) | Session Summary | Recording |
|---|---|---|---|---|
| 12:30 - 1:25pm ET | Q&A with CCSQ Leadership | CCSQ Leadership | Join this session to ask multiple leads from CCSQ your questions concerning the CCSQ Data & Analytics efforts, as well as CCSQ-wide vision and goals. | |
| 1:30 - 2:25pm ET | QuickSight Overview: QuickSight BI Tool to Help the CCSQ Enterprise | Sarah Davis (SemanticBits) Emily Zavinski (SemanticBits) Beth Stevens (Telligen) | This session will showcase what QuickSight is, how QuickSight has been used to help solve CCSQ business needs, and how to get access to start using QuickSight today. | |
| 2:30 - 3:25pm ET | Bringing Data Together for CCSQ Analytic Use | Joshua Phillips (SemanticBits) | This session will discuss how to take the next step in moving towards 'Data as a Product' and how to leverage the CCSQ Data Warehouse and Data Marts in bringing data together for analytic use in CCSQ. | |
| 3:30 - 4:15pm ET | iQIES Data Overview | Thomas Kress (CMS) Joshua Phillips (SemanticBits) | iQIES/QBIC users are welcome to join this session in order to learn more about the iQIES use case and data. | |
| 4:20 - 4:50pm ET | Feedback Analysis Solution (FAS): Enabling Enterprise Artificial Intelligence (AI) and Machine Learning (ML) | Christina Schilstra (Explore Digits) Nikhil Nirhale (Explore Digits) | Join this session for an overview of Natural Language Processing and its future possibilities. During this session, you will learn more about its use case, lessons learned, how this applies as an enterprise solution, and much more! | |
| 4:50 - 5:00pm ET | Closing Thoughts from CCSQ Leadership | Ken Howard (CMS) | You are welcome to join us for closing thoughts provided by CCSQ leadership as we reflect on the sessions and themes discussed during this year's CCSQ Data Camp. |
Agenda for Day One:
| CCSQ Camp Kick Off | Brent Weaver (CMS) Ken Howard (CMS) | Are you wondering about the SAS Viya environment and how all of the components interact? During this session, we will provide an overview of the technical details of SAS Viya, Hive, and AWS and how they work together. | Presentation Recording |
CCSQ Data & Analytics Environment Overview | Pete Grivas (CVP) | Are you wondering about the SAS Viya environment and how all of the components interact? During this session, we will provide an overview of the technical details of SAS Viya, Hive, and AWS and how they work together. | Presentation Recording |
CDR Data Overview | Curtis Smith (CVP) Manpreet Khural (CVP) | This session will cover the relationships between the key data sources in the CDR. We will discuss how data works in the CDR, touch on claims, provider, and beneficiary data, and how these sources relate to other CCSQ data sources like iQIES, HQR, and EQRS. | Presentation Recording |
| SAS Viya Visual Analytics Overview | Lee Herman (SAS) | SAS Visual Analytics provides a complete platform for analytics visualization. Interactive, self-service BI and reporting capabilities are combined with out-of-the-box advanced analytics so everyone can discover insights from any size and type of data, including text. | Passcode: ZG@56s@T |
Hive SQL In-Depth | Pete Grivas (CVP) | Take a deeper dive into execution plans, how Hive works behind the scenes with partitions, and why explicit SQL is recommended over implicit SQL. | Passcode: ZG@56s@T |
Agenda for Day Two:
| Session Title | Speaker(s) | Session Summary | Recording |
|---|---|---|---|
Special One-Hour Q&A | Brent Weaver (CMS) Ken Howard (CMS) Indre Goble (CMS) | Do you have questions related to the modernization efforts at ISG? Attend this open forum to have your questions answered! | Presentation Recording |
SAS Troubleshooting Tips & Tricks | Brendon Salatino (SAS) | Learn how to troubleshoot common issues in SAS Viya. SAS logging options and importing data will be covered as well as how to break your code into manageable components for testing. | Presentation Recording |
SQL Optimization Techniques | Pete Grivas (CVP) | During this presentation, we’ll cover user-submitted code before and after optimization, and the approach we took to improving its performance; all with the goal of sharing how other users of CDR can do the same. | Presentation Recording |
| Hive & CAS Working Together | Chris Coley | CAS provides an in-memory solution to running SAS Programs while Hive provides a distributed approach to accessing large quantities of data. This session will cover the best way to integrate Hive and CAS, using each in a way that plays to their respective strengths. | Passcode: nJk4u#cg |
The Future of CAP | Pete Grivas (CVP) | The CAP architecture is designed to abstract compute services from data. This extensible architecture allows multiple tools to access the data and allows end users to leverage the tools they are most comfortable with to perform their analyses. We will cover the future of CAP with a focus on future data science tools. | Passcode: nJk4u#cg |
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