[Angie Colacarro]

David,

Yes I would agree that our Data Warehouse Architect is comparable to a Data Engineer. As far as the Analytics Manager growing into an ACE Leader, I hope so seeing as I am the Analytics Manager currently. :) I do report to a director that has supported and continues to support the build out of the team. 

Without buy in from the Executive Team, this department would never have a chance. We started from the top and are slowly pushing our message (and our supporting BI Reports and dashboards) down through the organization.

——————————
[Angie] [Colacarro]
[Analytic Services Manager]
[ReliabilityFirst]
[Independence] [OH]
[2165030629]
——————————
——————————————-
Original Message:
Sent: 03-07-2023 12:47
From: David Pope
Subject: Do you have the right team members on your analytics center for excellence?

Angie, 

Thanks for reading and adding to the discussion.   I like how you shared the positions you have as well as the future ones you are hopting to add.   Glad to see we are fairly well aligned regarding roles/responsibilities. It looks to me as though your Manager of Analytics could grow into an ACE Leader role in the future as the team grows bigger and I’d say your Data Warehouse Architect would be what I called a Data Engineer.  

Regards,
David

——————————
David Pope
Senior Manager, US Energy
SAS
9192713197
——————————

Original Message:
Sent: 03-01-2023 11:36
From: Angie Colacarro
Subject: Do you have the right team members on your analytics center for excellence?

LIMITED DISCLOSURE

 

Our Analytic Services team was created in the summer of 2020. At the time, these were our roles:

 

1. Analytics Manager (working position that designs and implements the Data Warehouse with IT engagement).
2. Data Scientist (analyzes data through R, Python and SQL as well as builds dashboards and active BI reports through Power BI and Excel)
3. Business/Data Analyst (gathers requirements, tests DW implementations, builds dashboards and active BI reports through Power BI)

 

After approximately 2 years, we have added another role that is currently being filled by a contractor with hopes of hiring.

 

4. Data Warehouse Architect (took over design and implementation of the DW as well as being the main IT – Analytics liaison.

 

With the ever increasing role of data in our industry, we expect to be running at full capacity with 5 roles (an additional analyst) by the end of 2024.

 

 

Thanks,

 

Angie

 

Original Message:
Sent: 3/1/2023 11:00:00 AM
From: David Pope
Subject: RE: Do you have the right team members on your analytics center for excellence?

Joel – thank you for your interest, your summary, and your questions. 

The “Business Manager” role(s) could be within the ACE; however, more likely they would be more of a liaison, or at large member of ACE, whose primary role is leading a line of business that needs wants to use analytics to make their teams more successful.   This would make the organizational structure of the ACE a wheel and spoke type. In this case as the ACE grows you would most likely want to have a data scientist/analyst manager role(s) added in the ACE who would help guide the ACE sub-teams and act as the main contact/collaborator with all the “business managers” from lines of business.

As far as you question about a “data scientist” vs an “analytics engineer or Sr Data analyst” I’d argue we mean the same role/skills but are using different “labels”. 

Regards,
David

——————————
David Pope
Senior Manager, US Energy
SAS
9192713197

Original Message:
Sent: 02-27-2023 17:53
From: Joel Wasson
Subject: Do you have the right team members on your analytics center for excellence?

Thanks for raising this dialogue. Adding a framework for what I think is being discussed with some additional questions and comments. Basically you need a manager, functional lead and technical lead as a bare minimum. Increase the functional support roles first (Data/BI Analyst or Analytics Engineer), potentially including a change (Value Engineer) role, and ramp up the technical and specialty (LOB, Science) roles as the scale increases.

Thanks again.

ANALYTICS TEAM PURPOSE	ANALYTICS TEAM MEMBERS	STAFFING (Min)	STAFFING (Recommended)	Comment	ROLE-SKILL SET
Team-Capability Management	ACE Leader (Analytics Director/Manager)	One (1)	One (1)+E3:E8		o Continuously advocates for and sells the value of analytics to the rest of the organization o Focuses on business value not the math o Working knowledge of analytics and analytics architecture
	Business Manager		One (1) x LOB	Are you saying these are in the ACE, or located in LOB or either?	o Responsible for a line of business o Wants the best information to help make business decisions o Domain expert on the related line of business
	Value Engineer (Change Manager)		One (1) – 2	Interesting idea- wish I had this role; Usually embed this function between all the other manager/functional roles with the expectation being the ability to tell the story of data. Would probably staff this support as a Data Analyst.	o Dedicated to analytic business & community development o Helps to make the overall impact of the entire ACE team more impactful and understood across the organization o Works closely with all ACE members to define the business value with proposed analytics work/projects o Changes algorithms into business value stories and graphics to make it easier for the ACE leader to communicate with internal stakeholders/decision makers
Solution & Data Management	Data Scientist (Analytics Engineer, ML Engineer)		~ One (1)	Would think an “Analytics Engineer” or Sr Data Analyst function would come before a Data Science who may not be needed	Artificial Intelligence-Advanced Analytics- Data & AI Model Focused: o Analytic expertise in at least one or more of these areas: predictive modeling, forecasting, optimization o Typically trained in statistics or data science and then learns programming o Broadens the use of analytics and drives more informed decision making across the organization
	Business Data Analyst (Citizen Data Scientist, Bus Intelligence Analyst, Visualization Specialist)	One (1)	One (1) to 4 Depends on demand	…usually the most positions once the ACE is proven and growing. Would staff this first with someone who knows how to functionally  work with data models	Data Model – Analytics – Business Intelligence Focused o Responsible for model validation and operationalizes analytics o Makes dashboards and reports that leverage analytics o May develop into a future data scientist (more likely roles evolve to Sr Analyst/Analytics Engineer)
Technology Management	Data Engineer (architect/platform/DevOps)	One (1)	One (1) to 2 Depends on demand	Increases with level of system build-out and also build out of functional / data teams	o Maintain IT control and governance of data while empowering data scientists and business users to have easy access to all the necessary data needed to solve business issues o Ensure the analytics environment is healthy and secure o Typically comes from a computer programming/IT background o Good knowledge of databases, SQL, and cloud technologies o Will serve as Data/Information Architecture and Platform Management  if these are not separate roles

——————————
Joel Wasson.
Manager Enterprise Data & Analytics
Hawaiian Electric

Original Message:
Sent: 02-27-2023 11:59
From: David Pope
Subject: Do you have the right team members on your analytics center for excellence?

Mark – thank you for reading and for your questions.  The business manager could be considered a liaison to the business unit or department for which the ACE is doing a use case; basically serves as the domain SME or “voice of your internal customer”.  

1. The “data architect” may be another role; however, I suggest this data architect “skill” could fall under the data engineer role.
2. I would prioritize these 3 postions: ACE Leader, a data engineer, and a data scientist.  If you are wondering why my reasons would be that first of all you need to have a leader for any group to be successful.  A data engineer is needed to ensure data can be accessed efficiently and to work with the data scientist to ensure the necessary analytics data preparations are done and automated.  A data scientist is needed to do the data science part.  The other roles could initially exist in other groups or a group until the business value has been proven and used to make the business case for expanding the ACE.
3. I would prioritize the different roles, along with my guidance on the number of each role based on my experience, as follows:
   1. ACE Leader – number of positions 1
   2. Data Scientist – varies but typically there are more of position V 
   3. Data Engineer – varies but typically 1 to work with/support 3 to 4 of postion II and those in position V
   4. Business Manager – 1 per line of business 
   5. Business Analyst/Citizen Data Scientist – usually the most positions once the ACE is proven and growing
   6. Value Engineer – 1 or 2 depending size of the ACE

——————————
David Pope
Senior Manager, US Energy
SAS
9192713197

Original Message:
Sent: 02-27-2023 10:52
From: Mark Getecha
Subject: Do you have the right team members on your analytics center for excellence?

Hi David,

 

Thanks for sharing that summary of titles and skill sets that you have found important to have within a core analytics team. The value engineer was a new role that I haven’t heard of but makes sense based on the description of their role. I am not sure I fully understand the purpose of the business manager.

 

I also have some follow up questions:

1. I noticed you didn’t include a data architect. Could you please let us know why?
2. For organizations that have limited resources and can only start with 3 out of the 6 positions, which 3 would you recommend?
3. For organizations that can fully staff an ACE, how would you prioritize the list?

Thanks

 

Mark Getecha | Business Intelligence Lead

Western Area Power Administration | Headquarters, CIO

(O) 480.352.3591 | getecha[at]wapa.gov

 

 

Original Message:
Sent: 2/27/2023 8:30:00 AM
From: David Pope
Subject: Do you have the right team members on your analytics center for excellence?

We all know at this point to be successful at implementing analytics you need more than data scientists. Having advised organizations over all industries how to setup their own analytics center of excellence (ACE) I’ve shared this list of team members and their skill sets in a variety of presentations, papers, and even a book.   As such here is a short summary of titles and their skill sets which I’ve found is important to have within your core analytics team to help it be successful across an entire organization.   

• ACE Leader 
  • Continuously advocates for and sells the value of analytics to the rest of the organization
  • Focuses on business value not the math
  • Working knowledge of analytics and analytics architecture
• Business Manager
  • Responsible for a line of business
  • Wants the best information to help make business decisions
  • Domain expert on the related line of business
• Data Engineer
  • Maintain IT control and governance of data while empowering data scientists and business users to have easy access to all the necessary data needed to solve business issues 
  • Ensure the analytics environment is healthy and secure
  • Typically comes from a computer programming/IT background
  • Good knowledge of databases, SQL, and cloud technologies
• Data Scientist
  • Analytic expertise in at least one or more of these areas: predictive modeling, forecasting, optimization
  • Typically trained in statistics or data science and then learns programming 
  • Broadens the use of analytics and drives more informed decision making across the organization
• Business analyst/citizen data science
  • Responsible for model validation and operationalizes analytics 
  • Makes dashboards and reports that leverage analytics 
  • May develop into a future data scientist
• Value Engineer 
  • Dedicated to analytic business development
  • Helps to make the overall impact of the entire ACE team more impactful and understood across the organization
  • Works closely with all ACE members to define the business value with proposed analytics work/projects
  • Changes algorithms into business value stories and graphics to make it easier for the ACE leader to communicate with internal stakeholders/decision makers

What do you think of these roles?   Were any of them a surprise or new to you?  Did I miss a role that you have at your organization?  I hope this summary of the roles and responsibilities for a success ACE proves useful and helps to generate some productive conversations. 

——————————
David Pope
Senior Manager, US Energy
SAS
9192713197
——————————

[David Pope]

Angie, 

Thanks for reading and adding to the discussion.   I like how you shared the positions you have as well as the future ones you are hopting to add.   Glad to see we are fairly well aligned regarding roles/responsibilities. It looks to me as though your Manager of Analytics could grow into an ACE Leader role in the future as the team grows bigger and I’d say your Data Warehouse Architect would be what I called a Data Engineer.  

Regards,
David

——————————
David Pope
Senior Manager, US Energy
SAS
9192713197
——————————
——————————————-
Original Message:
Sent: 03-01-2023 11:36
From: Angie Colacarro
Subject: Do you have the right team members on your analytics center for excellence?

LIMITED DISCLOSURE

 

Our Analytic Services team was created in the summer of 2020. At the time, these were our roles:

 

1. Analytics Manager (working position that designs and implements the Data Warehouse with IT engagement).
2. Data Scientist (analyzes data through R, Python and SQL as well as builds dashboards and active BI reports through Power BI and Excel)
3. Business/Data Analyst (gathers requirements, tests DW implementations, builds dashboards and active BI reports through Power BI)

 

After approximately 2 years, we have added another role that is currently being filled by a contractor with hopes of hiring.

 

4. Data Warehouse Architect (took over design and implementation of the DW as well as being the main IT – Analytics liaison.

 

With the ever increasing role of data in our industry, we expect to be running at full capacity with 5 roles (an additional analyst) by the end of 2024.

 

 

Thanks,

 

Angie

 

Original Message:
Sent: 3/1/2023 11:00:00 AM
From: David Pope
Subject: RE: Do you have the right team members on your analytics center for excellence?

Joel – thank you for your interest, your summary, and your questions. 

The “Business Manager” role(s) could be within the ACE; however, more likely they would be more of a liaison, or at large member of ACE, whose primary role is leading a line of business that needs wants to use analytics to make their teams more successful.   This would make the organizational structure of the ACE a wheel and spoke type. In this case as the ACE grows you would most likely want to have a data scientist/analyst manager role(s) added in the ACE who would help guide the ACE sub-teams and act as the main contact/collaborator with all the “business managers” from lines of business.

As far as you question about a “data scientist” vs an “analytics engineer or Sr Data analyst” I’d argue we mean the same role/skills but are using different “labels”. 

Regards,
David

——————————
David Pope
Senior Manager, US Energy
SAS
9192713197
——————————

Original Message:
Sent: 02-27-2023 17:53
From: Joel Wasson
Subject: Do you have the right team members on your analytics center for excellence?

Thanks for raising this dialogue. Adding a framework for what I think is being discussed with some additional questions and comments. Basically you need a manager, functional lead and technical lead as a bare minimum. Increase the functional support roles first (Data/BI Analyst or Analytics Engineer), potentially including a change (Value Engineer) role, and ramp up the technical and specialty (LOB, Science) roles as the scale increases.

Thanks again.

ANALYTICS TEAM PURPOSE	ANALYTICS TEAM MEMBERS	STAFFING (Min)	STAFFING (Recommended)	Comment	ROLE-SKILL SET
Team-Capability Management	ACE Leader (Analytics Director/Manager)	One (1)	One (1)+E3:E8		o Continuously advocates for and sells the value of analytics to the rest of the organization o Focuses on business value not the math o Working knowledge of analytics and analytics architecture
	Business Manager		One (1) x LOB	Are you saying these are in the ACE, or located in LOB or either?	o Responsible for a line of business o Wants the best information to help make business decisions o Domain expert on the related line of business
	Value Engineer (Change Manager)		One (1) – 2	Interesting idea- wish I had this role; Usually embed this function between all the other manager/functional roles with the expectation being the ability to tell the story of data. Would probably staff this support as a Data Analyst.	o Dedicated to analytic business & community development o Helps to make the overall impact of the entire ACE team more impactful and understood across the organization o Works closely with all ACE members to define the business value with proposed analytics work/projects o Changes algorithms into business value stories and graphics to make it easier for the ACE leader to communicate with internal stakeholders/decision makers
Solution & Data Management	Data Scientist (Analytics Engineer, ML Engineer)		~ One (1)	Would think an “Analytics Engineer” or Sr Data Analyst function would come before a Data Science who may not be needed	Artificial Intelligence-Advanced Analytics- Data & AI Model Focused: o Analytic expertise in at least one or more of these areas: predictive modeling, forecasting, optimization o Typically trained in statistics or data science and then learns programming o Broadens the use of analytics and drives more informed decision making across the organization
	Business Data Analyst (Citizen Data Scientist, Bus Intelligence Analyst, Visualization Specialist)	One (1)	One (1) to 4 Depends on demand	…usually the most positions once the ACE is proven and growing. Would staff this first with someone who knows how to functionally  work with data models	Data Model – Analytics – Business Intelligence Focused o Responsible for model validation and operationalizes analytics o Makes dashboards and reports that leverage analytics o May develop into a future data scientist (more likely roles evolve to Sr Analyst/Analytics Engineer)
Technology Management	Data Engineer (architect/platform/DevOps)	One (1)	One (1) to 2 Depends on demand	Increases with level of system build-out and also build out of functional / data teams	o Maintain IT control and governance of data while empowering data scientists and business users to have easy access to all the necessary data needed to solve business issues o Ensure the analytics environment is healthy and secure o Typically comes from a computer programming/IT background o Good knowledge of databases, SQL, and cloud technologies o Will serve as Data/Information Architecture and Platform Management  if these are not separate roles

——————————
Joel Wasson.
Manager Enterprise Data & Analytics
Hawaiian Electric

Original Message:
Sent: 02-27-2023 11:59
From: David Pope
Subject: Do you have the right team members on your analytics center for excellence?

Mark – thank you for reading and for your questions.  The business manager could be considered a liaison to the business unit or department for which the ACE is doing a use case; basically serves as the domain SME or “voice of your internal customer”.  

1. The “data architect” may be another role; however, I suggest this data architect “skill” could fall under the data engineer role.
2. I would prioritize these 3 postions: ACE Leader, a data engineer, and a data scientist.  If you are wondering why my reasons would be that first of all you need to have a leader for any group to be successful.  A data engineer is needed to ensure data can be accessed efficiently and to work with the data scientist to ensure the necessary analytics data preparations are done and automated.  A data scientist is needed to do the data science part.  The other roles could initially exist in other groups or a group until the business value has been proven and used to make the business case for expanding the ACE.
3. I would prioritize the different roles, along with my guidance on the number of each role based on my experience, as follows:
   1. ACE Leader – number of positions 1
   2. Data Scientist – varies but typically there are more of position V 
   3. Data Engineer – varies but typically 1 to work with/support 3 to 4 of postion II and those in position V
   4. Business Manager – 1 per line of business 
   5. Business Analyst/Citizen Data Scientist – usually the most positions once the ACE is proven and growing
   6. Value Engineer – 1 or 2 depending size of the ACE

——————————
David Pope
Senior Manager, US Energy
SAS
9192713197

Original Message:
Sent: 02-27-2023 10:52
From: Mark Getecha
Subject: Do you have the right team members on your analytics center for excellence?

Hi David,

 

Thanks for sharing that summary of titles and skill sets that you have found important to have within a core analytics team. The value engineer was a new role that I haven’t heard of but makes sense based on the description of their role. I am not sure I fully understand the purpose of the business manager.

 

I also have some follow up questions:

1. I noticed you didn’t include a data architect. Could you please let us know why?
2. For organizations that have limited resources and can only start with 3 out of the 6 positions, which 3 would you recommend?
3. For organizations that can fully staff an ACE, how would you prioritize the list?

Thanks

 

Mark Getecha | Business Intelligence Lead

Western Area Power Administration | Headquarters, CIO

(O) 480.352.3591 | getecha[at]wapa.gov

 

 

Original Message:
Sent: 2/27/2023 8:30:00 AM
From: David Pope
Subject: Do you have the right team members on your analytics center for excellence?

We all know at this point to be successful at implementing analytics you need more than data scientists. Having advised organizations over all industries how to setup their own analytics center of excellence (ACE) I’ve shared this list of team members and their skill sets in a variety of presentations, papers, and even a book.   As such here is a short summary of titles and their skill sets which I’ve found is important to have within your core analytics team to help it be successful across an entire organization.   

• ACE Leader 
  • Continuously advocates for and sells the value of analytics to the rest of the organization
  • Focuses on business value not the math
  • Working knowledge of analytics and analytics architecture
• Business Manager
  • Responsible for a line of business
  • Wants the best information to help make business decisions
  • Domain expert on the related line of business
• Data Engineer
  • Maintain IT control and governance of data while empowering data scientists and business users to have easy access to all the necessary data needed to solve business issues 
  • Ensure the analytics environment is healthy and secure
  • Typically comes from a computer programming/IT background
  • Good knowledge of databases, SQL, and cloud technologies
• Data Scientist
  • Analytic expertise in at least one or more of these areas: predictive modeling, forecasting, optimization
  • Typically trained in statistics or data science and then learns programming 
  • Broadens the use of analytics and drives more informed decision making across the organization
• Business analyst/citizen data science
  • Responsible for model validation and operationalizes analytics 
  • Makes dashboards and reports that leverage analytics 
  • May develop into a future data scientist
• Value Engineer 
  • Dedicated to analytic business development
  • Helps to make the overall impact of the entire ACE team more impactful and understood across the organization
  • Works closely with all ACE members to define the business value with proposed analytics work/projects
  • Changes algorithms into business value stories and graphics to make it easier for the ACE leader to communicate with internal stakeholders/decision makers

What do you think of these roles?   Were any of them a surprise or new to you?  Did I miss a role that you have at your organization?  I hope this summary of the roles and responsibilities for a success ACE proves useful and helps to generate some productive conversations. 

——————————
David Pope
Senior Manager, US Energy
SAS
9192713197
——————————

[Kevin Praet (Adm)]

Hello Enterprise Analytics Community Members,

I hope all is well! We are one week away from our March (2023) Enterprise Analytics Community Conversation and want to get you excited about the session taking place. On Thursday, March 23rd at 1:00 PM CT, we’ll be joined by the following speakers who will be leading panel themed discussion around the topic, “Doing Analytics in the Cloud (Part 2).”

– Alex Preston, Sr. Manager, Analytics Platform (Entergy)

– Jerry Casarella, Director of Analytics Infrastructure and Solutions (PSEG)

– Norv Clontz, Director, Data Science & Innovation (Duke Energy)

– Kimberly Sorrell, Director Information Management Office (Southern Company)

– Dan Smilowitz, Head of Enterprise Data & Analytics (Consolidated Edison)

Session Description:

Many utilities are moving to the cloud and “doing analytics in the cloud”, which has led to many questions that members would like to discuss with one another. Join us for part two of this three-part panel discussion series where YOU, members of the Enterprise Analytics Community, helped us hone in on the specific focus areas you want to discuss on this topic.

The Enterprise Analytics Community Leadership Team put together a poll that helped us focus this discussion. Through this poll, the members of this community submitted their top three focus areas of “doing analytics in the cloud” and a massive list of questions they wanted to disucss with other UAI utility members. The information submitted through this poll helped guide us to a discussion about the beginning stages (part 1), intermediate stages (part 2) and advanced stages (part 3) of “doing analytics in the cloud”.

Ultimately, we hope you will hear about the different approaches of “doing analytics in the cloud”, including best practices and lessons learned.

Speaker: Alex Preston, Sr. Manager, Analytics Platform (Entergy)

Alex Preston is Entergy’s Sr Mgr over their Analytics Platform within their Business Data & Insight group. He is currently helping lead Entergy’s cloud journey to replace their data lake with all new cloud-based tools. Alex has been with Entergy for 15 years and held roles across the organization in Finance, Supply Chain, Continuous Improvement, and IT. 

Speaker: Jerry Casarella, Director of Analytics Infrastructure and Solutions (PSEG)

Jerry Casarella is a husband and father of 2 and currently, the Director of Analytics Architecture and Solution at NJ’s largest utility company, PSE&G, where he has also worked as an Enterprise Architect on a variety of large-scale IT projects in various business domains: Smart Operations, Grid Modernization, Customer Operations, Renewable Energy Services, Power Generation. He is currently responsible for shaping the analytics architecture strategy and oversees the planning and execution of all data architecture activities, including coordinating and directing the design, development, and implementation of data analytics solutions. Jerry works closely with business area executives to align business strategies with analytics technology plans and corresponding data governance programs.

Speaker: Norv Clontz, Director, Data Science & Innovation (Duke Energy)

Norv Clontz is the Director of Data Science Innovation at Duke Energy, where he is responsible for leading advanced analytics initiatives and developing internal competency in emerging areas such as deep learning for video & image analytics and natural language processing. His previous experience at the utility includes roles in Grid Solutions, Customer Insights, Telecoms, Customer PMO, and Natural Gas. Prior to joining Duke Energy, Norv led the business analytics practice at a management and IT consulting firm.

Speaker: Kimberly Sorrell, Director Information Management Office (Southern Company)

Kim Sorrell has been in technology for over 25 years, having begun as a software developer prior to becoming a data architect and leading broad enterprise efforts.  She has worked in multiple industries including Oil & Gas, Manufacturing, and Insurance in addition to the Utilities space.  As a leader over the past decade, her passion is driving change and efficiency from effective use of data through governance, analytics, and artificial intelligence.  She enjoys continuously learning about the art of the possible and received a Master’s in Machine Learning from Georgia Tech in 2021.  

Speaker: Dan Smilowitz, Head of Enterprise Data & Analytics (Consolidated Edison)

Dan is a utility data & analytics leader proficient in developing strategies to deliver business value through analytics products. Dan has a passion for building diverse teams and executive stakeholder management to boost data fluency. 

______________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Thursday, March 23rd at 1:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 03-01-2023 15:30
From: Kevin Praet
Subject: Upcoming March (2023) Community Conversation

Hello Enterprise Analytics Community Members,

I hope all is well! With March just kicking off, I wanted to reach out and get you excited for our March (2023) Enterprise Analytics Community Conversation. On Thursday, March 23 at 1:00 PM CT we’ll be joined by the following speakers who will be leading a panel themed discussion around, “Part 2: Doing Analytics in the Cloud“

– Alex Preston, Sr. Manager, Analytics Platform (Entergy)

– Jerry Casarella, Director of Analytics Infrastructure and Solutions (PSEG)

– Andy Kapp, Lead Enterprise Architecture (Evergy)

– Norv Clontz, Director, Data Science & Innovation (Duke Energy)

– Kimberly Sorrell, Director Information Management Office (Southern Company)

– Dan Smilowitz, Head of Enterprise Data & Analytics (Consolidated Edison)

I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————