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CCSQ D&A HOME | Communications Calls | Community of Practice | CCSQ Data & Analytics Data Camp | QNET Analytics Distro ListArchive




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CCSQ Data & Analytics Communications Calls

Purpose: The Communications Calls are bi-weekly informational calls held by the Data & Analytics Modernization Team, designed to provide users with system updates, general announcements, and training demos. These calls will continue throughout 2021. All SAS Viya/CDR users are welcome to attend and automatically receive the invitation to these calls. 

The Communication Calls are held on a bi-weekly basis, normally occurring every other Thursday beginning at 1:00pm ET. Please note that the invitations to these calls are sent the week before the event, to ensure we include all new users on the invitation. Please look at the upcoming calls below and save the date in your calendar. 

This page provides an archive of the presentation, meeting materials, recording, and Q&A from each communications call. 

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idCommunications Calls


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title2021

01/21/21 Best Practices Review with Hive

02/04/21 Comprehensive Training Plan & New Macros

02/18/21 – Best Practices and New Macros

03/04/21 – SAS Viya & CDR Architecture Best Practices

03/18/21 – BIC Data - DVA's Perspective 

04/01/21 Best Practices and New Macros 

04/15/21

04/29/21

05/13/21

06/10/21

06/24/21

07/08/21

07/22/21

08/05/21

08/19/21

09/02/21

09/16/21

09/30/21

10/14/21

10/28/21

11/18/21

12/02/21

12/16/21


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title2020

01/09/20 – Accessing SAS Viya and Connecting to Datasets

01/23/20Data Roadmap and SAS Viya Demo

01/30/20SAS Viya Query Builder Demo

02/06/20SAS Viya Scheduling Jobs & Finding, Uploading, and Saving Data in 5.2

02/20/20Answering Your Questions

03/05/20How to Use Claims Data by Using a Claims Extract and Visual Analytics

03/17/20Replacements of Proc Sort and Best Practices

04/02/20Best Practices for Using the System

04/16/20Best Practices Review & Hive Preview

04/30/20SAS 9.4 vs. Viya (CAS)

05/14/20Global Macros and Efficient Use of Claims Data

05/28/20Best Practices for Using the System

06/18/20Viya Best Practices and Tips

07/02/20Changes to Claims Data Part A, B, & D

07/16/20CSAT Overview

07/30/20Best Practices Review

08/13/20Overview of BIC Data

08/27/20Best Practices Review

09/10/20QIES HelpDesk and Best Practices Review

09/24/20HCQAR R&A Transition Experience

10/08/20Recommended SAS E-Learning and Best Practices

10/22/20SAS Visual Analytics Series Part One & Troubleshooting SAS Viya

11/05/20HQR Interim Data Access & SAS Visual Analytics Series Part Two

11/19/20DUA Mapping

12/03/20SAS Visual Analytics Series Part Three

12/17/20SAS Visual Analytics Series Part Four


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title2019

11/07/19 – Centralized Data Repository & Transitioning to SAS Viya

11/20/19SAS Viya Go-Live

12/05/19SAS Viya Demonstration

12/12/19SAS Viya Visual Analytics

12/19/19SAS Viya Tips & Confluence Walkthrough


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title10/03/19 - Life of a Claim

Topic: Life of a Claim

Date & Time: Thursday, October 3, 2019, 1-2pm

Presenters: Todd Schaefer and Kathleen Berg

Location: CMS C-115

Materials:


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title09/05/19 - Robotic Process Automation & CCSQ Claims Data Requirements Gathering

Topic: Robotic Process Automation & CCSQ Claims Data Requirements Gathering

Date & Time: Thursday, September 5, 2019, 1-2pm

Presenters: CMS & Guidehouse LLC

Location: CMS S2-20-01

Materials:


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title08/06/19 - CCSQ Quality Data - What It Is

Topic: CCSQ Quality Data - What It Is

Date & Time: Tuesday, August 6, 2019, 1-2pm

Presenters: Indre Goble, ISG & Ryan Webb, Index Analytics

Location: CMS C-111

Materials:


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title07/02/19 - CCSQ Data & Analytics Modernization Efforts

Topic: HCQIS Data & Analytics Modernization Efforts

Date & Time: Tuesday, July 2, 2019, 1-2pm

Presenters: Indre Goble, ISG

Location: CMS C-111

Materials:


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title06/04/19 - Welcome & Introduction to the COP

Topic: Welcome & Introduction to the COP

Date & Time: Tuesday, June 4, 2019, 1-2pm

Presenters: ISG, Cupic Chan, Tom Wolfe

Location: CMS C-111

Materials:




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titleWe want to hear from you!

Please take a few minutes to share feedback on a previous meeting and provide suggestions for future sessions.

Email us at HCQIS_Data@hcqis.org.


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