Assessing Ten Years of the Citizen Data Scientist Approach

Ten Years Into the Citizen Data Scientist Revolution

It has been a decade since Gartner first defined the role of a Citizen Data Scientist. In 2018, Forbes published an article, referencing Gartner’s updated analysis of the role and stating that, ‘And the best part is, mid-market organizations already have potential citizen data scientists on their staff—it’s just a matter of tapping those with potential and interest in the work, and cultivating an analytical mindset across their workforce. Then, those who serve as citizen data scientists can grow their own skillsets, all the while being active players in their companies’ ability to tap the value of big data and drive transformation.’

‘It is likely that the Citizen Data Scientist role will continue to evolve, and it is important that the enterprise facilitate collaboration and knowledge sharing and build a sustainable technology environment with appropriate policies.’

A lot has happened in the past decade, and today the role of Citizen Data Scientist is no longer new. So, what has changed in the ensuing years? How as this role changed? Has the average enterprise embraced the role and made the technological and cultural changes required to truly support this approach?

A Decade of Citizen Data Scientist Evolution

Here are a few of the ways in which the Citizen Data Scientist approach has evolved within the organization.

  • In the early days of the Citizen Data Scientist approach, Data Scientists often worried that their positions would become obsolete. Nothing can be further from the truth. The use of Data Scientists to perform strategic analytics and to refine analysis performed and submitted by business users has kept Data Scientists busy.
  • The evolution of augmented analytics and self-serve tools has expanded analytical capacity, the speed at which business users can gather and analyze data and the dependability of the outcomes. Drag and drop capabilities, machine learning and, more recently, artificial intelligence (AI) have significantly improved tools and made it easier and more desirable for business users to dive into analytics and make it part of their day-to-day role.
  • As cloud-based access expanded, the enterprise leveraged improved access and data platforms to enable collaboration and create multi-disciplinary teams and power user roles that would further encourage the use of these tools across the enterprise. Methods and guidelines improved data literacy and encouraged business user expertise creating more confident Citizen Data Scientists and supporting the role as a mainstream concept.

Every enterprise must do more with less, increase productivity and reduce missteps in order to remain competitive. So, it is likely that the Citizen Data Scientist role will continue to evolve, and it is important that the enterprise facilitate collaboration and knowledge sharing and build a sustainable technology environment with appropriate policies for user access, upgraded technology and data analytics tools and standards and regulations to govern and manage risk and maintain alignment with enterprise strategies and goals.

‘Those who serve as citizen data scientists can grow their own skillsets, all the while being active players in their companies’ ability to tap the value of big data and drive transformation.’

If you wish to know more about the Citizen Data Scientist approach and how augmented analytics tools and your industry and market knowledge can position you for success in this role, Contact Us today to find out how our team can help you to improve business results and increase team collaboration, data literacy, productivity and competitive advantage. Get started today with our self-paced FREE Online Citizen Data Scientist course.

Mobile BI Tools Are Not Just Nice to Have, They Are A Necessity

Mobile BI Tools Support Users and a Competitive Strategy

No matter the size of your business or the industry or market in which you compete, the importance of business intelligence (BI) and self-serve augmented analytics is no longer in question. Nearly every business is using some form of business intelligence today and, if your business is not, you are already behind the competition!

When we consider the growth of this important solution market, we find that the mobile market for business intelligence solutions is growing exponentially and that is not surprising. Today’s workforce is mobile and, even where employees work onsite, their work will take them away from a desk and into a manufacturing or production environment, or perhaps within the walls of a hospital, a university, a retail store, etc.

‘The shift to mobile BI tools is not just a matter of convenience. It is crucial that your team remain informed and that they have the tools they need to collaborate, share and present data, whether they are on the road, with a client or in an airport. This flexibility reflects the evolving business environment and the need for agility.’

A recent Mordor Intelligence Report revealed that the 2025 market size for mobile business intelligence was 19.33 billion USD and that the 2030 projected market size is 55.56 billion USD.

While many businesses rely solely on BI solutions and look to their team to implement and use these solutions, the growth of business intelligence services is also of note. The complexity of technology landscapes, in-house vs. cloud implementations, security and regulatory and industry compliance, as well as artificial intelligence (AI) add-ons and integration have created an environment that is often best served by expert services.

These services can help businesses to personalize and customize their approach and to provide meaningful mobile BI tools, embedded BI for familiar best-of-breed and legacy software solutions and other tools that will support end users and make the team more productive.

User accessibility and ease-of-use are paramount considerations. The shift to mobile BI tools is not just a matter of convenience. It is crucial that your team remain informed and that they have the tools they need to collaborate, share and present data, whether they are on the road, with a client or in an airport. This flexibility reflects the evolving business environment and the need for agility.

Whether you are a sales manager, a media executive, a healthcare provider or a business analyst, it is important to have access to a suite of BI tools that will help you gather and analyze business data using mobile devices.

Why is Mobile Business Intelligence Important for My Business in Today’s Work Environment?

The team needs interactive data tools and tools that enable sharing and collaboration, reporting and sophisticated analytics – all with dependable security. Users should also be able to tailor their mobile BI tools to suit their role and preferences and integrate the use of these tools within workflow to foster a data-driven, fact-based culture.

‘Today’s workforce is mobile and, even where employees work onsite, their work will take them away from a desk and into a manufacturing or production environment, or perhaps within the walls of a hospital, a university, a retail store, etc.’

Look for a mobile BI tool that will:

  • Support a native mobile environment for Android and iOS, with an intuitive user experience (Ux).
  • Provide access rights defined at the server level with appropriate security and privacy at all levels.
  • Accommodate hosting within the IT infrastructure, on-premises or in public or private cloud environs.
  • Provide users with access to dashboards, reports, and clickless analytics with a natural language processing (NLP) search function.
  • Provide expertise and services that are appropriate for the needs of your organization.

If you want to support your business user team and provide a foundation for BI tools that will better serve your team and your customers, explore Smarten Mobile BI benefits and features, with powerful functionality and access for your business users including 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, ‘Mobile BI Business Use Provides Real Advantages,’ and take a moment to watch and listen to this informative webinar, ‘Smarten Mobile BI.’

Why on Earth Would I Want to Be a Citizen Data Scientist?

What’s a Citizen Data Scientist and Why Should I Care?

In 2015, Gartner coined the term, ‘Citizen Data Scientist’ and since then, the data analytics community and global business markets have never looked back! The results of Citizen Data Scientists initiatives were spotty, at best, in the early days, principally because enterprises did not spend enough time planning for the roll-out and anticipating cultural, technological and resource issues.

Gartner Analysts Predict that organizations can truly benefits from implementing a Citizen Data Scientist strategy and their research reveals that ‘…citizen data scientists will surpass data scientists in the amount of advanced analysis produced, and that,  ‘Early adopters of augmented analytics have the potential to realize more strategic and differentiating business benefits from their analytics investments than those who wait until these technologies are widely adopted.’

‘With additional skills and knowledge, you become more valuable to the organization and the team and your visibility and leadership in the use of data and analytics will position you well for career advancement.’

Today, the Citizen Data Scientist community is thriving and local, regional and global businesses are reaping the benefits. But, what about the impact on business users? Are there real benefits to team members who embrace the Citizen Data Scientist role, or is it all smoke and mirrors?

The Advantages of Saying ‘Yes’ to Being a Citizen Data Scientist

Benefits for Business Users

  • Improve Your Data Literacy – If you are curious about the use of data, or you consider yourself a power user and love to learn new technology, you will be motivated and challenged by the use of data analytics and you will improve your data literacy. Any and all new skills you learn within your role in an organization can help you advance your career and keep your day-to-day tasks interesting. Today, data literacy and comfort with technology is crucial to personal and career success.
  • Expand Your Career Opportunities – With additional skills and knowledge, you become more valuable to the organization and the team and your visibility and leadership in the use of data and analytics will position you well for career advancement. Using data to make fact-based decisions and recommendations and to present options to management is a great way to get noticed!
  • Collaborate with IT and Data Scientists – Expand your reach across the organization and make your skills known by collaborating with IT and data scientists. When your day-to-day analytics is noticed, and your management team needs to advance strategic initiatives, you can collaborate with IT and data scientists to share and create the insights your team and management.
  • Add Value to the Organization – Discover and explore data and create analytical approaches and formats to share with your team members. Help the organization avoid missteps in the market, identify buying behavior, conceive new products and services and to create a competitive advantage with measurable results that will help you AND the enterprise.
‘Today, data literacy and comfort with technology is crucial to personal and career success.’

If you wish to know more about the Citizen Data Scientist approach and how augmented analytics tools and your industry and market knowledge can position you for success in this role, Contact Us today to find out how our team can help you to improve business results and increase team collaboration, data literacy, productivity and competitive advantage. Get started today with our self-paced FREE Online Citizen Data Scientist course.

Augmented Analytics Can Support a Large User Base

Support Your Large Business User Base with the RIGHT BI Tools

According To Finance Online, Allied Market Research reports that small and medium businesses are driving enterprise use of analytics, but World Data Science Initiative reports that 80% of global companies are investing in data analytics, thereby revealing analytics growth across, small, medium and large enterprises.

For your large enterprise, data analytics can and will be a definitive issue impacting your business and market growth. Choosing the right solution to support data democratization and improved data literacy across the enterprise will ensure that your team can create, share, collaborate and report on data, make recommendations and suggestions based on fact, and use data-driven metrics to ensure that strategies and operational decisions are relevant, accurate and effective.

‘While many large organizations are daunted by the idea of implementing analytics across the organizations, it is completely feasible to plan for an deploy this software and to modify business processes to build on fact-based decisions.’

Today’s self-serve augmented analytics and modern business intelligence solutions are designed to support users across the enterprise, and a solution that is built on the right technology platforms, will enable rapid implementation and user adoption and requires very little training or transition time. Auto-suggestions and recommendations allow users to work on their own, no matter their skill levels.

To support a large user base, you will want to select an augmented analytics solution designed with a low-code, no-code, artificial intelligence and machine learning environment to ensure scalability and seamless, responsive, mobile access.

Contrary to Some Opinions, a Large Enterprise with Many Users CAN Adopt Augmented Analytics

Your team can untangle quality and maintenance issues, refine customer targeting and marketing optimization, make appropriate financial investment decisions, and even use external data to analyze trends and patterns and make forecasts and predications.

Real-time data management lets users connect to data sources in real time, and compiles data for fast performance to deliver real time analytics. Cached data management caches data and performs pre-aggregation and other computations for superior performance and analytics, and refreshes data from data sources at a defined frequency.

Your enterprise can choose on-premises or private or public cloud-based data management to access the analytics solution from any business location around the world, or for remote workers or those working on the road, in hotels or airports.

‘For your large enterprise, data analytics can and will be a definitive issue impacting your business and market growth. Choose the right solution to support data democratization and improved data literacy and use data-driven metrics to ensure that strategies and operational decisions are relevant, accurate and effective.’

While many large organizations are daunted by the idea of implementing analytics across the organizations, it is completely feasible to plan for an deploy this software and to modify business processes to build on fact-based decisions. Work with your IT partner to plan a reasonable roll-out and address cultural concerns, and to budget for and implement an affordable, dependable analytics solutions across the enterprise. No matter how many business users your business has, you CAN adopt and leverage self-serve augmented analytics to support your business, improve competitive advantage and gain crucial insight into data for planning, problem-solving and identification of trends, patterns, issues and opportunities.

Ensure appropriate Technology, skills and knowledge, Cutting-Edge Features and an advanced approach to Augmented Analytics And Business IntelligenceContact Us to find out more about the Smarten suite of products. Explore our free white paper: ‘Enabling Business Optimization And Expense Reduction Through The Use Of Augmented Analytics.’

Mobile BI Supports User Access and Adoption and Improves Results

Why Adopt Mobile BI? Data Access and Data Democratization

The global business environment has changed dramatically. With employees working remotely, and even in other countries, it is mandatory to provide technology and tools your team can use to complete tasks and, hopefully, to add value to the organization on a daily basis.

If you have not yet adopted a business intelligence or augmented analytics solution, it is wise to consider one now. Your competitors are already implementing these solutions! If you HAVE adopted a BI tool or self-serve analytics solution, but you have yet to provide your team with mobile business intelligence, it is past time to consider this addition because your competitors area already implementing THESE solutions as well!

‘Out-of-the-Box Mobile BI can provide natural language search analytics, clickless analytics for quick, easy analysis, key performance indicators, dashboards and reports, dynamic charts and graphs, and intuitive visualizations, with self-serve features that are suitable for every user.’

According to Market Research Future studies, ‘The Business Intelligence market segmentation, based on Technology, includes Mobile BI, Cloud BI, and Social BI…’ This market is…’is expected to grow and expand during the projected timeframe as it will help businesses make data-driven decisions, boosting the overall market growth.’ This study estimates that the business intelligence market will grow from USD 33.12B in 2024 to USD 78.42B in 2032.

The reason for that growth is simple. Businesses, large and small, are discovering the value of fact-based decision-making, and the wise business owner, executive or manager understands that their competition is actively involved in improving productivity (to do more with less), in improving customer satisfaction (with targeted products and services), in decreasing re-work and increasing collaboration, and above all in increasing the data literacy of its team through data democratization, easy access to crucial data and improved user adoption of technology.

Access Data From Anywhere with Next Gen Mobile BI Tools for Business Users

But the old methods of BI tool installation can no longer support strategic goals. Your team may be spread across countries, regions or cities. They may work in the field. They may be meeting with a client or a supplier. Any or all of these scenarios require mobile tools that provide your team with the information they need to make the right decision, to review historical data or transactions and work with others to create a pricing strategy, check on stock, understand customer buying behavior etc.

If you truly wish to make your team more productive and effective, it is crucial to give them access to data and the information they need to do their job, no matter where they are working (in the office or remotely). Easy-to-use, self-service tools ensure user adoption and can move your team members toward a Citizen Data Scientist role, with advanced analytics that is intuitive, interactive and flexible.

Out-of-the-Box Mobile BI can provide natural language search analytics (NLP), clickless analytics for quick, easy analysis, key performance indicators (KPIs) for metrics and results, dashboards and reports, dynamic charts and graphs, and intuitive visualizations, all designed for ease-of-use with self-serve features that are suitable for every user.

With these tools, your users can easily find and analyze information, working from anywhere, at any time of the day. They will not have to guess at information, or carry copies of old reports that are no longer relevant.

‘If you have adopted a BI tool or self-serve analytics solution, but you have yet to provide your team with mobile business intelligence, it is past time to consider this addition because your competitors area already implementing these solutions.’

If you want to support your business user team and provide a foundation for BI tools that will better serve your team and your customers, explore Smarten Mobile BI benefits and features, with powerful functionality and access for your business users including 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, ‘Mobile BI Business Use Provides Real Advantages,’ and take a moment to watch and listen to this informative webinar, ‘Smarten Mobile BI.’

Citizen Data Scientists Are Important to Business Transformation

Transform Your Business with Citizen Data Scientists

The business environment today is competitive. Whether your business is global or local, you are challenged to do more with less, to set and achieve goals more quickly and to stay ahead of your competitors by gaining a comprehensive understanding of what your customers want, what they WILL want, and how to best attract their attention and retain them.

To meet these challenges, every team member and employee must have a thorough understanding of how their roles and responsibilities fit into the grand scheme of things and how the projects, tasks and activities they pursue on a day-to-day basis will affect revenue, outcomes and results.

When a business (large or small) makes the decision to transition business users to Citizen Data Scientists, it supports the alignment of goals and objectives with fact-based decision-making and improved data literacy, encouraging its users to embrace and understand data and use that data to collaborate, present information to management and gain insight into results to identify opportunities and address issues.

‘The Citizen Data Scientist approach transforms the organization by improving time to market, reducing rework and mitigating market missteps and improving productivity and the alignment of workflow and tasks with the goals and objectives of the enterprise.’

World renowned technology research firm Gartner first coined the term ‘Citizen Data Scientist’ in 2016 and defined the role 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.’

Nearly a decade later, the role has been refined and structured within many organizations and recent Gartner research reports that, ‘Citizen Data Scientists can be leveraged to perform repetitive and redundant tasks in the analytics workflow, and therefore create value to the organization, while allowing expert data scientists to focus on more complex tasks.’

The increased pace and tenor of competition has forced businesses to accommodate rapid change in markets and customer buying behavior by using analytics, data scientists and business analysts to work with IT and create reports and presentations to be used for decisions. But there just aren’t enough professional resources of funds to support this approach. Hence, the evolution of Citizen Data Scientists.

Transform Business Users Into Citizen Data Scientists AND Transform Your Business

The evolution of self-serve augmented analytics tools and technologies like natural language processing (NLP) and NLP search, machine learning, flexible data visualization, and artificial intelligence (AI) provide support for business users without technical skills to gather and analyze data and produce reports, collaborate with other users and make recommendations using insight derived from advanced analytics. And this approach supports data democratization and data literacy.

The Citizen Data Scientist approach also transforms the organization by allowing business users to interact with and collaborate with IT and data scientists to take day-to-day data analytics and translate them into strategic initiatives with measurable results, accurate predictions and rapid flexible processes.

The Citizen Data Scientist approach transforms the organization by improving time to market, reducing rework and mitigating market missteps and improving productivity and the alignment of workflow and tasks with the goals and objectives of the enterprise. It provides a career path for business users and advances their knowledge and skills, allowing them to understand how their role directly influences results and to create and innovate.

‘When a business (large or small) makes the decision to transition business users to Citizen Data Scientists, it supports the alignment of goals and objectives with fact-based decision-making and improved data literacy, encouraging its users to embrace and understand data.’

To plan for and execute a Citizen Data Scientist initiative, the organization must engage an expert in augmented analytics and develop a comprehensive understanding of technology and cultural changes in order to advance this new idea within the ranks of IT, data scientists, business users, managers and executives.

Learn more about how the transformation of business users to Citizen Data Scientists can benefit your business, and how technology and appropriate Self-Serve Analytics Tools can support Citizen Data Scientists in their new role, and provide fact-based decision-making and advantages to the organization. Explore our free white papers and articles: ‘The Potential Of The Citizen Data Scientist Approach And Augmented Analytics,’ and ‘Leverage Citizen Data Scientists For Business And Business Users.’

Leverage Citizen Data Scientists for Business and Business Users

Business and Team Member Benefits of Citizen Data Scientists!

When a business considers the prospect of implementing business intelligence and augmented analytics tools to align objectives and streamline processes and decision-making, the business management and executive team can often see the project as time-consuming and expensive.

In fact, most proposals that include process changes, training and new technology get stalled because:

a. change is hard

b. there is a tendency to say that everything is just fine the way it is

c. the management team believes that the expense is not equal to the value of the transition.

When it comes to BI tools and self-serve analytics, all of these claims can be disproven by results.

‘By providing business users with easy-to-use BI tools and augmented analytics features that produce results and allow them to make the most of their knowledge and time, the organization is more likely to retain its human resource assets and to identify and utilize its team member skills to achieve results, thereby creating a competitive advantage and a more agile, streamlined enterprise.’

In fact, Gartner has predicted that ‘Early adopters of augmented analytics have the potential to realize more strategic and differentiating business benefits from their analytics investments than those who wait until these technologies are widely adopted.’

Results and benefits are proven across the enterprise by businesses that have already adopted business intelligence and augmented analytics.

Minimum Viable Products (MVP) Produces Better Business Start-Up Results

For the organization, these benefits include:

  • Support for data-driven, fact-based decision making
  • Insight and perspective into history, results and trends and patterns for strategy and operational decisions
  • Encouraging collaboration among team members, IT, business analysts and data scientists
  • Business agility and efficiency
  • Leveraging human resource assets and improving productivity
  • Creating a competitive advantage with rapid decision-making and market response
  • Improving and optimizing financial investments, forecasts and predictions

For business users, transitioning to Citizen Data Scientists, the advantages include:

  • Combining professional and industry knowledge with data to achieve accurate results
  • Leveraging simple BI tools and self-serve analytics to receive recommendations and suggestions and make quick, clear decisions
  • Reducing the need for IT and data scientist assistance
  • Collaborating with other business users to create and share data, reports and information
  • Advancing career goals by learning and using tools that combine existing skills with new analytical capabilities
  • Improving data-driven decisions and reducing re-work

By providing business users with easy-to-use BI tools and augmented analytics features that produce results and allow them to make the most of their knowledge and time, the organization is more likely to retain its human resource assets and to identify and utilize its team member skills to achieve results, thereby creating a competitive advantage and a more agile, streamlined enterprise.

‘Gartner has predicted that ‘Early adopters of augmented analytics have the potential to realize more strategic and differentiating business benefits from their analytics investments than those who wait until these technologies are widely adopted.’

If your business wishes to capitalize on the potential of the Citizen Data Scientist approach, it important to work with an IT Partner who can help you define your requirements and strategize for optimal success, providing the augmented analytics tools and knowledge of the industry that is required to position you for success. Get started today with our self-paced FREE Online Citizen Data Scientist course.

Contact Us today to find out how our team can help you to improve business results and increase team collaboration, data literacy, productivity and competitive advantage.

Mobile BI is Not Just Nice to Have – It’s Crucial!

Improve Results, Precision and User Adoption with Mobile BI

Two things are true today. The first is that we are a mobile society, tied to our devices, carrying them with us everywhere to stay connected, to get information and to communicate. The second true thing is that we are busier than ever and, if we are to keep up, we must find ways to be more productive. The advent of technology and the rapid pace of change has created a situation where there is always more to do than we have time to do!

When it comes to business, both of these true things are even truer! If we are a business owner or manager we know that we never have enough resources or staff and that the invaluable knowledge of our employees and professionals must be leveraged and optimized if we are to succeed. We also know that most companies today have team and staff members who are not working within the walls of a manufacturing plant or an office. Even in a retail business, our team members are often working after hours or they are on the road visiting suppliers or buyers.

That’s where mobile business intelligence (BI) comes in! Every business needs analytics and data to understand where the business is today, where it is going and what we need to do to keep the business moving on the path to success. But, information is everywhere and it can be difficult to gather it and make sense of it and use it to make decisions.

‘A mobile business intelligence (BI) app should not short change your users with restrictive formats or views.’

By integrating enterprise data and making it available in an easy-to-use mobile interface, you can allow every user in the enterprise to use data in a way that is meaningful to them and to their tasks and decisions and if that analytical solution is available on a mobile device, we enable them to be productive in airports, hotels, at client or supplier offices and while working at home.

Mobile Business Intelligence (BI) Provides Critical Support for Business Growth and User Adoption

According to a recent study by Mordor Intelligence, the fastest growing mobile BI market is in the Asia Pacific region and the largest market is in the United States.

If you are interested in expanding your business intelligence solution to a mobile environment, or in acquiring BI tools for your team, the right Mobile BI solution will:

  • Provide a native application with a seamless user interface that supports a great user experience (Ux) for ALL users (even those with average technical skills)
  • Be available for iOS and Android
  • Be suitable for self-serve analytics to encourage user adoption
  • Be easy to deploy and use
  • Provide good support
  • Be affordable
  • Provide support for data democratization and improved data literacy
  • Provide suitable return on investment (ROI) and total cost of ownership (TCO)

A mobile business intelligence (BI) app should not short change your users with restrictive formats or views. Look for a solution with:

  • Clear, flexible data visualization
  • Dynamic charts and graphs
  • Supportive dashboards and clear reports
  • Clickless analytics that are easy to use
  • Key performance indicators (KPIs) and metrics
  • Natural Language Processing (NLP) analytics that are intuitive and easy

‘By integrating enterprise data and making it available in an easy-to-use mobile interface, we allow every user in the enterprise to use data in a way that is meaningful to them and to their tasks and decisions.’

If you want to support your business user team and provide a foundation for BI tools that will better serve your team and your customers, explore Smarten Mobile BI benefits and features, with powerful functionality and access for your business users including 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, ‘Mobile BI Business Use Provides Real Advantages,’ and take a moment to watch and listen to this informative webinar, ‘Smarten Mobile BI.’

BI Tools and Augmented Analytics That Ensure User Adoption and ROI

Ensure ROI, TCO and User Adoption with the Right BI Tools

When a business sets out to implement BI tools or self-serve augmented analytics, it must consider the entire technology landscape of the business, the expectations of end-users, the cost of the solution, how easily it can be upgraded and integrated and, well…so much more!

 

‘To ensure user adoption and achieve the ROI and TCO the business deserves, take the time to do the work. Develop requirements, consider the features and functionality of a solution and compare those to your use cases and your user expectations.’

 

Management teams do not take kindly to poor Return on Investment (ROI ) or Total Cost of Ownership (TCO) and if the business has had difficult projects in the past, the next time a software solution is presented for approval, senior managers will remember the challenges and failures of the past!

 

Still, when you are attempting to transition business users into Citizen Data Scientists, there is bound to be some pushback from users and that pushback, combined with senior management concerns can and WILL bring your project to its knees if you do not anticipate and address these concerns.

 

Here are some statistics that will help you to understand the issues faced by businesses in implementing BI tools and analytics:
  • The global BI adoption rate is 26%
  • On average, businesses use at least four different BI tools
  • 97% of the data gathered by businesses is not used
  • 74% of employees express dissatisfaction and are overwhelmed when working with business data

 

In order to assure successful deployment, user adoption, improved Return on Investment (ROI) and Total Cost of Ownership (TCO), the business should include detailed requirements in its solution selection. When choosing a BI tool and augmented analytics solution for your business, one of the most crucial concerns is the features and functionality of the prospective solution and how this solution will meet user and organizational needs. When planning for deployment of BI tools and augmented analytics, the business should take the time to work through a process, ensuring that it has considered what users need and want to ensure user adoption and the ease-of-use and features the solution will provide.
To Achieve User Adoption, ROI and TCO Goals, Select the RIGHT BI Tools and Augmented Analytics
It is important to remember that there are also specific features a business should consider, like embedded BI and easy-to-employ Integration APIs, that will assure user adoption and appropriate ROI and TCO. These considerations will affect how well the solution is received, whether users will adopt it and be satisfied with the selection, and how the investment will perform when considering total cost of ownership (TCO) and return on investment (ROI) when compared to other possible uses of the same investment funding.

 

With this foundation of documented features, services, skills and capabilities, the business can implement, manage, upgrade and support Business Intelligence and Augmented Analytics capacity and growth within the organization.

 

‘When you are attempting to transition business users into Citizen Data Scientists, there is bound to be some pushback from users and that pushback, combined with senior management concerns can and WILL bring your project to its knees if you do not anticipate and address these concerns.’

 

To ensure user adoption and achieve the ROI and TCO the business deserves, take the time to do the work. Develop requirements, consider the features and functionality of a solution and compare those to your use cases and your user expectations. INVOLVE your users and middle managers in planning to understand how and when to deploy the tools and how to support your business users as you transition them into Citizen Data Scientists.

 

To find out more about how to ensure Return on Investment (ROI) and Total Cost of Ownership (TCO) results, and enable user adoption, read our free White Paper, ‘A Roadmap To ROI And User Adoption Of Augmented Analytics And BI.’ To find out more about our Augmented Analytics And BI ToolsContact Us. Keep pace with changing enterprise needs and support business agility. Let us help you realize your business goals and objectives with fact-based information, and flexible, scalable technology solutions that will support Citizen Data Scientist initiatives, and improved data literacy and data democratization.

 

Original Post : BI Tools and Augmented Analytics That Ensure User Adoption and ROI!

Is the Citizen Data Scientist Approach Right For My Business?

Find Out the How of the Citizen Data Scientist Approach

In 2016, the technology research firm, Gartner, coined the term ‘Citizen Data Scientist,’ and defined it 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.’

‘When business users make the transition to Citizen Data Scientists with access to augmented analytics solutions, they can provide additional value to the team, to managers and executives and allow IT and data scientists to focus on strategic goals.’

In the ensuing years, the Citizen Data Scientist role has become more refined, and those businesses that embrace this approach have seen real benefits. But just who are Citizens Data Scientists, and how does a business recognize candidates and benefit from enabling this role?

What Does the Citizen Data Scientist Concept Entail, and Can My Business Capitalize On Its Potential?

How Do I Find Citizen Data Scientist Candidates Within My Business? You will find your Citizen Data Scientist candidates among your business users and team members. They are curious and eager to learn new skills to contribute to the organization and to hone their skills for career advancement. Team members who make great Citizen Data Scientists are often power users, and are acknowledged as leaders within their own team. They are NOT IT professionals, analysts or data scientists but they share a common characteristic for precision and wanting to get it right the first time.

What Does a Citizen Data Scientist Do? Within the context of their roles and responsibilities, every business user needs clear, meaningful information to make fact-based decisions and recommendations. Citizen Data Scientists use data to create reports on a daily basis. As the Citizen Data Scientist role evolved, team members have leveraged the advantages of this data to share reports, to create and format presentations for recommendations and suggested changes to support pricing decisions, hiring, production, new products and services, financial investments, marketing and advertising campaigns, and many other decisions. As the movement grows within your organizations, you can enable data democratization and improve data literacy. Citizen Data Scientists can also work with IT, data scientists and business analysts to share their research and analytics when the business feels it is necessary to take the analytics to another level to ensure credibility for strategic decisions.

What Tools and Training Does a Citizen Data Scientist Need? One of the primary reasons the Gartner predictions have come to fruition is he evolution of the business intelligence (BI) and augmented analytics market to support the concept of Citizen Data Scientists. Today’s analytics solutions are easy-to-use, self-serve tools driven by Natural Language Processing (NLP), and machine learning, as well as Artificial Intelligence (AI). All of these technologies come together to support the business user and provide tools that are sophisticated in their functionality, yet intuitive and easy for a business user. These tools do not require IT skills or data science knowledge. When the team uses these tools, they can adopt a common language and techniques to work with IT and data scientists to create use cases and refine and share reports, formats and outcomes. The more complete, and intuitive the solution, the less training and onboard time the user will require. There are simple, Free Training Courses available that can help your business and your team understand the uses and benefits of this approach and enable user adoption.

When business users make the transition to Citizen Data Scientists with access to augmented analytics solutions, they can provide additional value to the team, to managers and executives and allow IT and data scientists to focus on strategic goals. Using Augmented Analytics Tools like self-serve data preparation to gather and prepare data, and smart data visualization to receive suggestions and recommendations on how to best view data, users can combine predictive analytics to forecast and model, and sophisticated tools like anomaly monitoring, key influencers, and sentiment analysis to gain crucial insight into changes in customer buying behavior, supplier issues, product time-to-market, trends, patterns and opportunities with dependable metrics to make data-driven decisions.

‘The Citizen Data Scientist role has become more refined, and those businesses that embrace this approach have seen real benefits.’

If your business wishes to capitalize on the potential of the Citizen Data Scientist approach, it important to work with an IT Partner who can help you define your requirements and strategize for optimal success, providing the augmented analytics tools and knowledge of the industry that is required to position you for success.

Original Post : Is the Citizen Data Scientist Approach Right For My Business?