What is a Citizen Data Scientist and How Has the Role Changed?

Defining and Understanding the Citizen Data Scientist

The world-renowned technology research firm, Gartner, first introduced the concept of the Citizen Data Scientist in 2016. Since then, the idea has grown in popularity, and the role has grown in importance and prominence.

‘To fulfill the role of a Citizen Data Scientist, business users today can leverage augmented analytics solutions; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills.’

Gartner defines a citizen data scientist as, ‘a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.’

Who is a Citizen Data Scientist? The role of a citizen data scientist is played by a business user or team member within the organization. The typical profile of an ideal Citizen Data Scientist is a person who is respected within the organization, and often shares data and information with other users to collaborate and produce outcomes that are designed to achieve goals and objectives and produce a successful outcome. These individuals may already be ‘power users’ of business applications and may have developed and reported or presented data to others with an eye toward clarifying their decision-making. Citizen Data Scientist candidates may also be IT team members who are interested in data science. In any case, these candidates will typically be uniquely curious, interested in data analytics and devoted to fact-based decisions and team collaboration.

The Definition and Evolution of the Citizen Data Scientist Role

Who are Citizen Data Scientists within your own organization? You will know them by their willingness to learn new things, and to advance their own visibility and their own careers by using new skills to improve results within your organization. What are Citizen Analysts? They are team members who are not IT professionals, data scientists or business analysts but are willing and able to leverage analytics and data science tools to solve business problems.

It took a while for the global business community to embrace the concept of Citizen Data Scientists and, even today, there are those naysayers who believe that the only correct approach to analytics is by using Data Scientists or business analysts or engaging the internal IT team to create reports and provide analytics for decision-making.

But the race to compete and the complexities and rapid rate of change have forced businesses to look for alternatives and the Citizen Data Scientist role has become more popular as those leading the charge prove the value of the role to the organization and to the business users, data scientists and IT professionals.

The role of the Citizen Data Scientist began as a simple augmentation to gather data and create reports for daily use but Interest In The Role Has Tripled Over The Past Decade, and the responsibilities and visibility of the Citizen Data Scientist have evolved.

Much of the evolution and the potential of the role has been driven by the evolution of business intelligence (BI) tools and the introduction of augmented analytics and solutions that employ natural language processing (NLP) and machine learning to enable those with average technical skills to gather and analyze data and produce results for clear insight, using sophisticated tools that are designed to be simple enough for the average business user to understand.

As team members perform these tasks, share data and collaborate, the business can engender data democratization and improve data literacy across the enterprise.

To fulfill the role of a Citizen Data Scientist, business users today can leverage augmented analytics solutions; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills.

When a Citizen Data Scientist uses these tools, the resulting analysis can be combined with the professional knowledge and specific domain skills of the individual to better understand and gain insight into trends, patterns, issues and opportunities and improve time to market, accuracy of predictions, and metrics and measurements.

Adopting these tools and techniques and actively engaging in augmented analytics allows the Citizen Data Scientist to more effectively interact with and collaborate with the IT team and data scientists to prepare data and use data in use cases, and to refine outcomes and improve data-driven decision making across the enterprise.

One of the most important lessons learned in the past decade is that the Citizen Data Scientist role can be rewarding to the organization and to the business user. But to succeed, the enterprise must plan carefully. It must understand how to use Citizen Data Scientists and create an environment that allows for this transition. Selecting a business intelligence or augmented analytics tool and deploying that tool does not, in and of itself, solve your problems. You must plan for the cultural shift and ensure that the business users have the support they need to transition into the citizen data scientist role.

‘The typical profile of an ideal Citizen Data Scientist is a person who is respected within the organization, and often shares data and information with other users to collaborate and produce outcomes that are designed to achieve goals and objectives and produce a successful outcome.’

For a detailed discussion of Citizen Data Scientists and related topics, read our article: ‘What Is A Citizen Data Scientist, What Is Their Role, What Are The Benefits Of Citizen Data Scientists…And More!

Contact Us to find out how augmented analytics Technology can support your enterprise, and ensure analytical clarity and results. Discover the next level of Self-Serve Analytics and explore online Citizen Data Scientist Training and the features and modules of a seamless, sophisticated, easy-to-use augmented analytics solution to see how your business can use analytics to achieve its goals. Explore our complementary articles on Citizen Data Scientists: ‘The Importance And Benefits Of A Citizen Data Scientist Initiative,’ ‘Planning And Preparing For A Citizen Data Scientist Initiative,’ ‘Engage A Skilled IT Partner And Achieve Citizen Data Scientist Success,’ and ‘What Is A Citizen Data Scientist, What Is Their Role, What Are The Benefits Of Citizen Data Scientists…And More!

Citizen Data Scientists Can Partner With Data Scientists!

A Citizen Data Scientist Initiative Can Optimize Data Scientists and Encourage a Data-Driven Culture!

According to some estimates, the average salary of a Data Scientist in the United States is over $150,000 per year. If your business wishes to accommodate a ‘data-first’ strategy to improve metrics and measurable success and avoid guesswork and strategies that are based on opinion rather than fact, it can either employ a team of expensive professionals, or it can take a different approach.

‘Citizen Data Scientists can use their knowledge of a business sector, industry, function or market to drive questions and develop reports and presentations to illustrate issues, identify problems and find opportunities for growth and competitive positioning, and share this data (and the search and analytical techniques) with other users.’

Citizen Data Scientists are business users who have a place on your team and are hired because of their professional and career experience in a particular industry, business function or discipline. When they are given access to data analytics, they can merge their knowledge of an industry, e.g., research, healthcare, law, finance, sales, supply chain, production, construction etc., with data integrated from databases, best-of-breed software programs, ERP, SCM, HRM and other systems and use sophisticated analytical tools in an easy-to-use, intuitive environment to gather and analyze data and produce insightful, concise results that are meaningful to their role.

Leverage Citizen Data Scientists to Augmented Data Scientist Teams

Depending on the size, market and industry of your business, you may choose to augment your staff with one or more data scientists to refine results produced by Citizen Data Scientists on a day-to-day basis. So, if a power user or business users discovers a challenge or an opportunity and your management team wishes to further explore the issue to understand its strategic or operational value, a Data Scientist can take the predictive model or other analytical report produced by a Citizen Data Scientist and refine the results for executive review.

Whether you choose to employ the services of a Data Scientist, provide business analysts or IT professionals to support your business users, you can create a comprehensive foundation for analytics across your organization.

By democratizing data analytics you can achieve many benefits, including:

  • Improved Data Literacy Across the Enterprise
  • Improved Productivity of Data Scientists, IT and Business Analysts (who can spend time on strategic initiatives rather than producing daily reports)
  • Optimized Return on Investment (ROI) and Total Cost of Ownership (TCO) for all software and systems
  • Fact-Based Decisions and Metrics-Driven Strategies, Goals and Objectives
  • Team Member Career Advancement
  • Optimization of Resources and Improved Team Productivity

A comprehensive self-serve augmented analytics solution will include Modern Business Intelligence (BI) and Reporting with Key Performance Indicators (KPIs), Self-Serve Data PreparationAssisted Predictive Modeling, and Smart Data Visualization with auto-suggestions to drive the analytical techniques and illustration of data based on data type, volume, etc., and other tools like Embedded BIMobile BIKey Influencer AnalyticsSentiment Analysis, and Anomaly Alerts and Monitoring.

With these tools, the Citizen Data Scientist can leverage Natural Language Processing (NLP) and search analytics with machine learning to ask questions using simple human queries and receive insightful answers. They can use their knowledge of a business sector, industry, function or market to drive questions and develop reports and presentations to illustrate issues, identify problems and find opportunities for growth and competitive positioning, and share this data (and the search and analytical techniques) with other users.

Citizen Data Scientists can predict customer responses to new product features, and to new marketing campaigns, analyze the likelihood of fraud or risk, identify supply chain issues, etc. These tools can also help the organization to foster collaboration and data sharing and encourage business users to innovate, create and explore opportunities using data-driven, factual information.

‘When Citizen Data Scientists are given access to data analytics, they can merge their knowledge of an industry, e.g., research, healthcare, law, finance, sales, supply chain, production, construction etc., with data integrated from databases, best-of-breed software programs, ERP, SCM, HRM and other systems and use sophisticated analytical tools in an easy-to-use, intuitive environment to gather and analyze data and produce insightful, concise results that are meaningful to their role.’

These are just a few of the factors you must consider when implementing a Citizen Data Scientist approach. Business users who are interested in becoming a Citizen Data Scientist must be willing to embrace new technology and tools and working at the leading edge of a new approach to collaboration and decision-making. initiative. Consider engaging an expert for your Citizen Data Scientist. IT consultants with experience and skill in this area can provide crucial support to help you succeed with your Citizen Data Scientist initiative and can provide simple Training Programs to bring your team on board and help them see the value to themselves and to the organization.

Original Post : Leverage Citizen Data Scientists to Augmented Data Scientist Teams!

Choose the Right Mobile BI Solution for Your Business!

What Do I Need to Know Before I Choose a Mobile Business Intelligence (BI) Solution for My Business?

What makes a great Mobile Business Intelligence (BI) solution? There are many factors to consider and, if you do not choose wisely, you risk a) spending a lot of money and getting very little in return, b) working with incorrect, old or incomplete data, c) having to upgrade and spend even more money, d) disappointing your team and falling short of objectives, e) missing your Citizen Data Scientist initiative goals.

Use Smart Data Visualization to Improve Decisions!

Smart Data Visualization and Personalized Dashboards Improve Data Insight and Team Collaboration!

Augmented Analytics was designed to remove the barriers erected by the traditional business intelligence and analytics solutions. In order to achieve data democratization and improve data literacy among team members within an enterprise, the organization must provide simple, easy-to-understand solutions that display analytical results in a way that is meaningful and intuitive.

Mobile BI Improves Productivity and Results!

Add Mobile BI for Your Team and Improve Access, Analytics and Business Decisions!

Recent surveys reveal that the mobile BI market is growing by leaps and bounds. Of those surveyed, over 35% of companies said that mobile BI is in use among their business users. While some businesses have yet to adopt BI tools or augmented analytics for their business users, many have done so, and are now in the process of adding mobile BI to the set of tools available to users. There is no doubt that the COVID pandemic affected this strategy, since many businesses are now embracing a full-time or a hybrid remote work environment that requires team members to have access to tools from wherever they are working.

Citizen Data Scientists Need These 3 Things to Succeed!

3 Primary Components for Citizen Data Scientist Success!

The Citizen Data Scientist phenomenon is in full swing and, while the approach has its detractors, the proof is in success, and many organizations are actively succeeding using the Citizen Data Scientist approach.

Gartner has predicted that, in the future ‘…40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’

‘The enterprise does not expect to hire a legion of data scientists to perform analytics for every day-to-day need within the organization.’

There are many benefits of transitioning business users to a Citizen Data Scientist role, including:

  • Improved data literacy
  • Increased Data Democratization
  • Improved Collaboration
  • Increased Productivity
  • Improved Alignment with Goals and Objectives
  • Optimization of Data Scientist and IT Resources
  • …and more!
3 Keys to Citizen Data Scientist Success

There are many factors and components inherent in the success of a Citizen Data Scientist. If you are a Citizen Data Scientist candidate, there are three primary components of success:

  1. Organizational Commitment and Support – A business cannot just say they are committed to the Citizen Data Scientist approach. It must plan carefully and include a complete review of the current workflow, business processes and technology in order to make the changes required to support the new program. Citizen Data Scientists must be supported with revisions to performance evaluations and promotions. These revisions should encourage and enable the use of augmented analytics and collaboration so that business users are rewarded for acquiring and using new skills.
  2. Appropriate Augmented Analytics Tools – As with any other type of position or job, a Citizen Data Scientist needs the right tools to succeed. Without the right analytics tools, business users cannot make a successful transition to a Citizen Data Scientist role. The enterprise does not expect to hire a legion of data scientists to perform analytics for every day-to-day need within the organization but, if business users are expected to perform analytical activities, they will need easy-to-use tools that are sophisticated enough to achieve results, without requiring complex analytical skills or lengthy training. Augmented Analytics tools that are designed for business users should provide a foundation of machine learning and natural language processing (NLP) so search analytics is as easy as asking a question in a Google-type interface, with features like Smart Data Visualization, Assisted Predictive Modeling and Self-Serve Data Preparation.
  3. Curiosity and the Willingness to Explore – A prospective Citizen Data Scientist should have at least an average technology capability, with above average curiosity and a willingness to learn and collaborate. The ideal candidate should be recognized as someone who interacts well with others, and is willing to mentor others and help them become comfortable with new tools and processes.

‘If you are a Citizen Data Scientist candidate, there are three primary components of success.’

These are just a few of the factors you must consider when implementing a Citizen Data Scientist approach. Business users who are interested in becoming a Citizen Data Scientist must be willing to embrace new technology and tools and working at the leading edge of a new approach to collaboration and decision-making. initiative. Consider engaging an expert for your Citizen Data Scientist. IT consultants with experience and skill in this area can provide crucial support to help you succeed with your Citizen Data Scientist initiative and can provide simple Training Programs to bring your team on board and help them see the value to themselves and to the organization.

Should I Start a Citizen Data Scientist Program?

Is it the Right Time for My Business to Initiate a Citizen Data Scientist Program?

Whether you are a business owner, a business executive or a business manager, or you just like to keep up with industry trends, you no doubt have read about the transition of business users to Citizen Data Scientists. The topic has been in industry journals and publications for years, and it is still relevant today.

Case Study : Smarten Augmented Analytics Case Study- Pharmaceutical, Clinical Research and Innovation Company

Smarten Augmented Analytics Case Study- Pharmaceutical, Clinical Research and Innovation Company

The Client is a global business governed by a foundation whose mission is to have a meaningful social impact, both for patients and for a sustainable world. With its unique governance model, the Client business can fully serve its vocation with a long-term vision and fulfil its commitment to therapeutic progress and to serving patient needs. The company has grown exponentially, first across France and then throughout the world, driven by the transformation of the business.

Mobile BI Tools for Citizen Data Scientists!

Mobile BI Tools Support Citizen Data Scientists and All Team Members With Access to Critical Data!

When a business takes on a Citizen Data Scientist initiative, it must provide the tools and techniques the business user will need to support the new role. Augmented Analytics is key – with features and tools that make it easy to integrate, find, analyze and share data across the enterprise.

Gartner has predicted that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’

If your organization is doing it right, the Citizen Data Scientist initiative will incorporate support to change the culture, to update the employee evaluation process to encourage the use of analytics and fact-based decision-making, and other factors that influence user adoption and enable the business to move forward with a team alignment.

But one thing many businesses fail to consider is the need for these tools outside the walls of the office environment. If the global pandemic taught us anything is that many employees were forced to work at home or in settings outside the typical office facility. Today, many companies have embraced this concept on a long-term basis, allowing their employees to work from home, or in remote group locations. But even if your business is situated in one more office buildings or store fronts, the chances are good that your team members spend a certain amount of time working outside the office, after hours, on weekends, etc.

‘Mobile BI tools provide the support for your Citizen Data Scientists, data scientists, business analysts, team members, executives, and managers so that every business user can access and analyze data, share, and collaborate.’

Teams today are asked to do more with less and, as work hours expand, and the expectations of businesses change, the team must adapt. Managers, executives, IT teams and others find themselves in situations where they must check the status of a project, approve a purchase or resource acquisition, communicate with a team and assess the need to make changes – the list goes on and on!

Mobile BI Supports Citizen Data Scientists and Data Literacy

Mobile BI tools provide the support for your Citizen Data Scientists, data scientists, business analysts, team members, executives, and managers so that every business user can access and analyze data, share, and collaborate and make decisions on the fly, in a staff meeting, in an airport or hotel, or at home.

To ensure that you choose the right tools for your Citizen Data Scientists, look for a Mobile Business Intelligence solution that offers the following features and functionality:

  • Native app, with seamless user interface for a great user experience (Ux). Available for iOS and Android
  • Extends the office environment. Allows swift analysis and decisions from anywhere
  • Encourages user adoption and provides support for BI investments and data democratization
  • Access rights are defined on the server so security and privacy is ensured at all levels
  • Hosted anywhere within IT infrastructure – on premises, public or private cloud
  • Business Users have access to dashboards, reports, Clickless Analytics – Google-type Natural Language Processing (NLP) Search functionality
  • Start-up is easy, within a few minutes and support is readily available

‘One thing many businesses fail to consider is the need for BI tools outside the walls of the office environment.’

If you want to support your Citizen Data Scientists and every member of your business user team, explore Smarten Mobile Augmented Analytics And Mobile BI. Add powerful functionality and access for your business users with out-of-the-box Mobile BI and advanced analytics for every team member. For more information on Mobile BI and Augmented Analytics, read our article, ‘Understanding The Truth About Mobile BI.’

Original Post : Mobile BI Supports Citizen Data Scientists and Data Literacy!