What is data analytics and how it is used by large organizations to support strategic and organizational decisions.?
Read the full article to know more
https://www.datatobiz.com/blog/integrating-data-analytics-organizations-professional/
Analytics Isn’t Enough To Create A Data–Driven CultureaNumak & Company
The earned values are perhaps compatible with older technologies. As we believe big data and AI are extensions of analytical capabilities, the most common and most likely to succeed are those related to "advanced analytics and better decisions."
Marcus Baker: People Analytics at Scale
People Analytics Conference 2022 Winter
Website: https://pacamp.org
Youtube: https://www.youtube.com/channel/UCeHtPZ_ZLZ-nHFMUCXY81RQ
FB: https://www.facebook.com/pacamporg
Analytics Isn’t Enough To Create A Data–Driven CultureaNumak & Company
The earned values are perhaps compatible with older technologies. As we believe big data and AI are extensions of analytical capabilities, the most common and most likely to succeed are those related to "advanced analytics and better decisions."
Marcus Baker: People Analytics at Scale
People Analytics Conference 2022 Winter
Website: https://pacamp.org
Youtube: https://www.youtube.com/channel/UCeHtPZ_ZLZ-nHFMUCXY81RQ
FB: https://www.facebook.com/pacamporg
Attrition Expedition: Using AI to Chart a Course to Retain Call Center EmployeesCognizant
When The Hartford needed answers about reducing employee turnover, innovative AI-powered tools turned up surprising truths. Now the insurer is seeing results from using new strategies to enhance its culture.
People Analytics: Creating The Ultimate WorkforceCenterfor HCI
If you are a leader or manager in a large organization, you are probably familiar with these terms. But you may be unaware how your organization can benefit from people analytics and what it will take.
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...Denodo
Watch full webinar here: https://bit.ly/2KLc1dE
An organization’s effectiveness can only be as good as the understanding of their data. Hence it is important for both the frontline workers as well as the managers to be data literate, so that they can they understand how the business is functioning, decide if any changes need to be made, and quickly make decisions to realize better outcomes. However, successful data literacy requires stringent processes and an effective tool to operationalize them.
Listen to the our replay on the 10-steps to building a data-literate organization, and how data virtualization can help implement the underpinning processes.
Sense Corp and Denodo have partnered to combine state-of-the art professional services with the industry’s most advanced data virtualization platform to streamline data access in support of the most critical business needs.
Watch the replay to learn:
- The 10-steps to data literacy; what you can do to become a high performer.
- How to use data virtualization as the foundation to implementing data literacy processes.
- Examples of companies that have achieved high levels of data literacy.
Download the Sense Corp 10 Steps to Data Literacy eBook to learn more.
This is not your everyday data talk.
Through working deep inside the fastest growing SaaS startups in our space, we’ve studied the patterns, methods, and models for driving outsized results. The one common thread? How they use their data.
(How else would you grow from one marketer through to a $60M+ Series B just 12 months later?)
How do they make their data accessible, draw the right insights, set effective goals, prioritise and optimise processes, and automate ALL the (right) things.
So brace yourselves: we’re going to be navigating through AI, automation, “moving the needle”, and a minefield of other buzzwords to try to make sense of using your data for growth. But you’ll leave this talk with a simple framework and set of questions you can take and use right away.
This is not your everyday data talk.
Through working deep inside the fastest growing SaaS startups in our space, we’ve studied the patterns, methods, and models for driving outsized results. The one common thread? How they use their data.
(How else would you grow from one marketer through to a $60M+ Series B just 12 months later?)
How do they make their data accessible, draw the right insights, set effective goals, prioritise and optimise processes, and automate ALL the (right) things.
So brace yourselves: we’re going to be navigating through AI, automation, “moving the needle”, and a minefield of other buzzwords to try to make sense of using your data for growth. But you’ll leave this talk with a simple framework and set of questions you can take and use right away.
Transcript of a discussion on how those writing the next chapters of human resources and information technology interactions are finding common ground to significantly improve the modern employee experience.
Living in a data economy: Transforming the role of HRMartin Sutherland
In a data economy, wealth is defined by extracting value from good quality data. The challenge is how to ensure a sustainable source of good quality HR data and how to turn that data into a compelling story that engages business leaders and creates a competitive advantage through talent.
Google's guide to innovation: How to unlock strategy, resources and technologyrun_frictionless
Organizations are facing unprecedented change and challenges stemming from a confluence of natural and artificial conditions. These forces are driving many to rethink the tools and technologies they use, and the places they need to be, to grow, and to innovate.
https://runfrictionless.com/b2b-white-paper-service/
People analyticsdriving business performance with peop.docxLacieKlineeb
People analytics:
driving business
performance with
people data
in association with
REPORT
June 2018
Global research
Workday is a leading provider of enterprise cloud applications
for finance and human resources. Founded in 2005, Workday
delivers financial management, human capital management,
and analytics applications designed for the world’s largest
companies, educational institutions, and government
agencies. Organizations ranging from medium-sized
businesses to Fortune 50 enterprises have selected Workday.
The CIPD is the professional body for HR and people
development. The not-for-profit organisation champions
better work and working lives and has been setting the
benchmark for excellence in people and organisation
development for more than 100 years. It has more than
145,000 members across the world, provides thought
leadership through independent research on the world of
work, and offers professional training and accreditation for
those working in HR and learning and development.
People analytics: driving business performance with people data
1
1
Report
People analytics: driving business
performance with people data
Contents
Foreword from the CIPD 2
Foreword from Workday 3
Introduction 4
People analytics: enabling data-driven insights 5
Purpose of the study: key questions 9
Findings 10
Discussion 35
Recommendations 37
Conclusion 38
References 38
Appendix: Methodology notes 42
Endnotes 47
Acknowledgements
This report was written by Edward Houghton, Senior Research Adviser: Human Capital
and Governance, and Melanie Green, Research Associate, at the CIPD.
We’d like to thank Tasha Rathour, Ian Neale and the team at YouGov for their help in
designing and running the survey instrument, as well as a number of experts for their
insights and guidance, including Andy Charlwood, Max Blumberg, Eugene Burke and
Andrew Marritt.
We’d also like to thank Workday for their ongoing interest in this important agenda.
Without their support, this research would not have been possible.
People analytics: driving business performance with people data
2 Foreword from the CIPD
1 Foreword from the CIPD
Data and technology are at the very forefront of innovation in HR as they are in so many
parts of business today. As many organisations modernise and incorporate data and
technology into their workforce practices, we see many new opportunities emerging to
use people data to better understand who our workforce are, how they work, and what
work means to them. Insights from people data offer the opportunity to change the way
workforce decisions are made in organisations, from those driven by instinct or habit
alone to those which are evidence-based and focused on developing long-term, positive
outcomes. Even the most basic people data itself holds considerable potential value to
organisations when used correctly, as we are seeing through the recent insights from
gender pay gap reporti.
For us, it is crucial that you can put your talents to use here at Findwise. We therefore sincerely hope that you feel encouraged to act independently and bravely, and that you come to work each day filled with joy and anticipation. We gladly walk this talk. Because without you and your fellow talents, this company would not exist – let alone thrive.
You are Findwise.
Gaining Digital Business Strategic View Across More Data Gives AmeriPride Cul...Dana Gardner
Transcript of a discussion on how improved data allows for more types of work in an improved organization to become even more intelligent, and to find new efficiencies and benefits.
Digital Leadership Series : Shawn O'Neal Capgemini
Shawn O’Neal is VP of Global Marketing Data and Analytics at Unilever, part of the Consumer & Marketing Insights (CMI) team, and he leads the company’s Global People Data Program.
The ultimate objective of the program is to enable 1 billion relationships through digital data analysis and new ways of
connecting with people.
In his 12 years at Unilever, Shawn has worked across a range of roles in customer development
and consumer & marketing insights, with a particular focus on strategy, analysis, and the optimal use of information for
decision-making.
Top 5 Travel Analytics Solutions Companies.pptxKavika Roy
Data analytics has a crucial role in the ever-changing travel industry. It helps businesses stay at the top of the game while increasing ROI. Here, we’ll discuss the top travel analytics solutions provider to partner with in the US market.
Transforming Hotel Data Analytics with a Resilient Datawarehouse.pptxKavika Roy
The travel and hospitality industry is evolving through the adoption of data analytics and BI solutions. This is done by modernizing the hotel data analytics infrastructure. Here, we’ll discuss the ways to build a resilient data warehouse and the role of analytics in the industry.
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Attrition Expedition: Using AI to Chart a Course to Retain Call Center EmployeesCognizant
When The Hartford needed answers about reducing employee turnover, innovative AI-powered tools turned up surprising truths. Now the insurer is seeing results from using new strategies to enhance its culture.
People Analytics: Creating The Ultimate WorkforceCenterfor HCI
If you are a leader or manager in a large organization, you are probably familiar with these terms. But you may be unaware how your organization can benefit from people analytics and what it will take.
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...Denodo
Watch full webinar here: https://bit.ly/2KLc1dE
An organization’s effectiveness can only be as good as the understanding of their data. Hence it is important for both the frontline workers as well as the managers to be data literate, so that they can they understand how the business is functioning, decide if any changes need to be made, and quickly make decisions to realize better outcomes. However, successful data literacy requires stringent processes and an effective tool to operationalize them.
Listen to the our replay on the 10-steps to building a data-literate organization, and how data virtualization can help implement the underpinning processes.
Sense Corp and Denodo have partnered to combine state-of-the art professional services with the industry’s most advanced data virtualization platform to streamline data access in support of the most critical business needs.
Watch the replay to learn:
- The 10-steps to data literacy; what you can do to become a high performer.
- How to use data virtualization as the foundation to implementing data literacy processes.
- Examples of companies that have achieved high levels of data literacy.
Download the Sense Corp 10 Steps to Data Literacy eBook to learn more.
This is not your everyday data talk.
Through working deep inside the fastest growing SaaS startups in our space, we’ve studied the patterns, methods, and models for driving outsized results. The one common thread? How they use their data.
(How else would you grow from one marketer through to a $60M+ Series B just 12 months later?)
How do they make their data accessible, draw the right insights, set effective goals, prioritise and optimise processes, and automate ALL the (right) things.
So brace yourselves: we’re going to be navigating through AI, automation, “moving the needle”, and a minefield of other buzzwords to try to make sense of using your data for growth. But you’ll leave this talk with a simple framework and set of questions you can take and use right away.
This is not your everyday data talk.
Through working deep inside the fastest growing SaaS startups in our space, we’ve studied the patterns, methods, and models for driving outsized results. The one common thread? How they use their data.
(How else would you grow from one marketer through to a $60M+ Series B just 12 months later?)
How do they make their data accessible, draw the right insights, set effective goals, prioritise and optimise processes, and automate ALL the (right) things.
So brace yourselves: we’re going to be navigating through AI, automation, “moving the needle”, and a minefield of other buzzwords to try to make sense of using your data for growth. But you’ll leave this talk with a simple framework and set of questions you can take and use right away.
Transcript of a discussion on how those writing the next chapters of human resources and information technology interactions are finding common ground to significantly improve the modern employee experience.
Living in a data economy: Transforming the role of HRMartin Sutherland
In a data economy, wealth is defined by extracting value from good quality data. The challenge is how to ensure a sustainable source of good quality HR data and how to turn that data into a compelling story that engages business leaders and creates a competitive advantage through talent.
Google's guide to innovation: How to unlock strategy, resources and technologyrun_frictionless
Organizations are facing unprecedented change and challenges stemming from a confluence of natural and artificial conditions. These forces are driving many to rethink the tools and technologies they use, and the places they need to be, to grow, and to innovate.
https://runfrictionless.com/b2b-white-paper-service/
People analyticsdriving business performance with peop.docxLacieKlineeb
People analytics:
driving business
performance with
people data
in association with
REPORT
June 2018
Global research
Workday is a leading provider of enterprise cloud applications
for finance and human resources. Founded in 2005, Workday
delivers financial management, human capital management,
and analytics applications designed for the world’s largest
companies, educational institutions, and government
agencies. Organizations ranging from medium-sized
businesses to Fortune 50 enterprises have selected Workday.
The CIPD is the professional body for HR and people
development. The not-for-profit organisation champions
better work and working lives and has been setting the
benchmark for excellence in people and organisation
development for more than 100 years. It has more than
145,000 members across the world, provides thought
leadership through independent research on the world of
work, and offers professional training and accreditation for
those working in HR and learning and development.
People analytics: driving business performance with people data
1
1
Report
People analytics: driving business
performance with people data
Contents
Foreword from the CIPD 2
Foreword from Workday 3
Introduction 4
People analytics: enabling data-driven insights 5
Purpose of the study: key questions 9
Findings 10
Discussion 35
Recommendations 37
Conclusion 38
References 38
Appendix: Methodology notes 42
Endnotes 47
Acknowledgements
This report was written by Edward Houghton, Senior Research Adviser: Human Capital
and Governance, and Melanie Green, Research Associate, at the CIPD.
We’d like to thank Tasha Rathour, Ian Neale and the team at YouGov for their help in
designing and running the survey instrument, as well as a number of experts for their
insights and guidance, including Andy Charlwood, Max Blumberg, Eugene Burke and
Andrew Marritt.
We’d also like to thank Workday for their ongoing interest in this important agenda.
Without their support, this research would not have been possible.
People analytics: driving business performance with people data
2 Foreword from the CIPD
1 Foreword from the CIPD
Data and technology are at the very forefront of innovation in HR as they are in so many
parts of business today. As many organisations modernise and incorporate data and
technology into their workforce practices, we see many new opportunities emerging to
use people data to better understand who our workforce are, how they work, and what
work means to them. Insights from people data offer the opportunity to change the way
workforce decisions are made in organisations, from those driven by instinct or habit
alone to those which are evidence-based and focused on developing long-term, positive
outcomes. Even the most basic people data itself holds considerable potential value to
organisations when used correctly, as we are seeing through the recent insights from
gender pay gap reporti.
For us, it is crucial that you can put your talents to use here at Findwise. We therefore sincerely hope that you feel encouraged to act independently and bravely, and that you come to work each day filled with joy and anticipation. We gladly walk this talk. Because without you and your fellow talents, this company would not exist – let alone thrive.
You are Findwise.
Gaining Digital Business Strategic View Across More Data Gives AmeriPride Cul...Dana Gardner
Transcript of a discussion on how improved data allows for more types of work in an improved organization to become even more intelligent, and to find new efficiencies and benefits.
Digital Leadership Series : Shawn O'Neal Capgemini
Shawn O’Neal is VP of Global Marketing Data and Analytics at Unilever, part of the Consumer & Marketing Insights (CMI) team, and he leads the company’s Global People Data Program.
The ultimate objective of the program is to enable 1 billion relationships through digital data analysis and new ways of
connecting with people.
In his 12 years at Unilever, Shawn has worked across a range of roles in customer development
and consumer & marketing insights, with a particular focus on strategy, analysis, and the optimal use of information for
decision-making.
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Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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Speakers:
Bob Boule
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Gopinath Rebala
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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
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What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
3. The biggest challenge of making the transition from an information culture to
a learning culture— from a culture that primarily relies on heuristics in
decision making to a culture that is much more analytical and data-based
and accepts the power of data and technology — is not the cost. Initially, it
ends up being just imagination and inertia.
What I’ve discovered in my last few years is that the power of fear to grow
to think and act differently today is immense, and to ask questions today
that we weren’t thinking about our positions beforehand. And it’s that shift
in mindset — from an expert-based mindset to one that is much more fluid
and learning-oriented, as compared to a fixed mindset— that I think is
essential to every company’s sustainable health, big, small or medium.
Murli Buluswar, Chief Technology Officer, AIG:
4. What we found challenging, and what I find challenging in my discussions
with many of my peers, is finding the collection of tools that enable
organizations to generate value efficiently through the process. I hear of
individual wins in some projects, but creating a more unified environment
where it’s completely incorporated is something I think we’re all grappling
with, partially because it’s still very early days. We have been thinking about it
in the past few years quite a bit. The technology is always changing. Also, the
sources are still evolving.
Ruben Sigala, Chief Analytics Officer, Caesars
Entertainment
5. Data protection is one of the most significant problems and what’s shared
and what isn’t shared. And my view on that is customers willing to share if it
returns interest. Single way sharing will no longer float. So, how do we secure
this knowledge? How do we leverage it and become a partner for our
customers rather than just a seller for them?
Zoher Karu, Vice President, Global Customer
Optimization and Software, eBay:
7. Ruben Sigala:
That helps better inform the correct structure, the forums, and finally, it sets the more granular
operational levels such as training, recruiting, and so on. It is essential to align yourself with how you
are going to run the company and how you are going to communicate with the larger organization.
And there it will fall in line with everything else. It is how we set out on our journey.
Vince Campisi, Chief Information Officer, GE Software: One of the things we found was when we began
and concentrated on a goal, it was a perfect way to generate value and get people excited about the
opportunity rapidly. And it took us to places we didn’t plan to be going before. Then we can go after a
given outcome and seek to coordinate a collection of data to achieve that outcome. When you do so,
people start bringing in other data sources and items they want to link. So it’s just getting you to a
point where you’re going after the next outcome you didn’t foresee going after before.
You’ve got to be able to be a little flexible and versatile about how you think things. But if you start
with and deliver one result, you’ll be shocked as to where it takes you next.
8. Vince Campisi, Chief Information Officer, GE Software:
That helps better inform the correct structure, the forums, and finally, it sets the more granular
operational levels such as training, recruiting, and so on. It is essential to align yourself with how you
are going to run the company and how you are going to communicate with the larger organization.
And there it will fall in line with everything else. It is how we set out on our journey.
Vince Campisi, Chief Information Officer, GE Software: One of the things we found was when we began
and concentrated on a goal, it was a perfect way to generate value and get people excited about the
opportunity rapidly. And it took us to places we didn’t plan to be going before. Then we can go after a
given outcome and seek to coordinate a collection of data to achieve that outcome. When you do so,
people start bringing in other data sources and items they want to link. So it’s just getting you to a
point where you’re going after the next outcome you didn’t foresee going after before.
You’ve got to be able to be a little flexible and versatile about how you think things. But if you start
with and deliver one result, you’ll be shocked as to where it takes you next.
9. Ash Gupta, Chief Risk Officer, American Express:
The first change we had to make was just to increase the quality of our results. We’ve got a lot of data,
so sometimes we just didn’t use the data, so we didn’t pay as much attention to its accuracy as we do
now. It was one, to ensure the data had the correct history, that the data had the right intent to
represent the customers. It is a road, in my opinion. We have made strong progress, and we expect
this progress to continue in our program.
The second field is working with our people and making sure we centralize all aspects of our business
analytics. We centralize our resources, and we democratize their use. The other thing, I believe, is that
we understand as a team and as an organization that we do not have enough resources ourselves, so
we need cooperation from all kinds of organizations beyond American Express. This partnership
comes from innovators in technology, and it comes from data providers and analytical firms.
We need to put together a full package for our business colleagues and partners so that it is a
compelling case that we are collectively improving stuff, that we are co-learning, and that we are
building on each other.
11. Victor Nilson, senior vice president, big data, AT&T:
The consumer experience also begins with us. That’s what matters the most. We now have a growing
range of very complex items at our customer service centers. Only the simple products often have
potentially very complicated problems or solutions, because the workflow is very complicated. And,
how can we improve the process at the same time for both the customer-care agent and the client, if
there is an interaction?
We’ve used big data strategies to evaluate all the various permutations and improve the knowledge
and solve or strengthen a specific situation more quickly. We take out the uncertainty and make it a
smooth and actionable task. At the same time, we should evaluate the data and then go back and
say that, in a particular case, whether we are proactive or not for optimizing the network. So, not just
for customer service, but also for the network, we take the optimization and then tie it together.
12. Vince Campisi:
I’ll give you a personal viewpoint and an outer viewpoint. One is that we do a lot of what we call
creating a digital thread— how you can link innovation to a product through engineering,
manufacturing, and out. And that’s where we focus on the brilliant factory.
Take the driving optimization of the supply chain as an example. We’ve been able to take over 60
separate silos of direct-material sourcing knowledge, exploit analytics to look at new relationships,
and use machine learning to find enormous amounts of flexibility in how we source direct
materials that go into our product.
An external example is how we use analytics to enhance the efficiency of properties fully. We call it
the administration of asset results. And we are beginning to allow digital industries, like a digital
wind farm, where analytics can be leveraged to help the machines optimize themselves. And, you
can help a power-generating company use the same wind that comes through, and by making
the turbines pitch themselves correctly and knowing how they can maximize the wind speed. We
have also shown the potential to generate up to 10 percent more energy out of the same amount
of wind. It’s an example of using analytics to help a company achieve higher yield and
productivity.
14. Victor Nilson:
Talent is all about that. You need to have the data, and, naturally, AT&T has a wealth of data. But
this is meaningless, without talent. The differentiator is talent. The best talent will go and discover
the best technologies; the right talent will go out there and solve problems.
We also helped, in part, contribute to the growth of many of the innovative innovations emerging
in the open-source culture. We have the tradition of sophisticated lab methods, and we have the
Silicon Valley that is evolving.
But we do have mainstream talent around the world, where we have very advanced engineers, we
have all-level managers, and we want to grow their abilities further.
So just this year alone, we have delivered over 50,000 Big Data related training courses. And we
continue to make progress on that. It is just a continuum. It could be either a one-week boot camp
or advanced data science at the PhD-level. But for those who have the aptitude and interest in it,
we want to continue cultivating the talent. We want to make sure that they can improve their skills
and then tie it to enhance their output along with the instruments.
15. Zoher Karu:
Talent is crucial in every path through data and analytics. And analytics talent alone, in
my opinion, is no longer enough. We can’t have singularly competent men. So the way I
develop my organization, I’m searching for people with a minor and a major. You may
be significant in analytics, but in marketing strategy, you may be minor. Even if you don’t
have a child, how can you interact with other parts of the organization?
Otherwise, the mere data scientist won’t be able to speak to the database administrator,
who won’t be able to talk to the market analysis guy, for example, who won’t be able to
speak to the owner of the email channel.
16. READ THE FULL ARTICLE
https://www.datatobiz.com/blog/integrating-data-analytics-
organizations-professional/