Tag: Augmented Analytics Advantages

White Paper – Enabling Business Optimization and Expense Reduction Through the Use of Augmented Analytics

author_img
by |
May 9, 2024
White Paper – Remote and Hybrid Technology Outsourcing Models Are Now Mainstream and the Future is Bright!

white-paper-enabling-business-optimization-and-expense-reduction-through-the-use-of-augmented-analytics

No matter the reason or the goal, when an enterprise chooses the right Augmented Analytics solution and carefully plans for and executes its implementation, it can optimize business results, reduce expenses and improve its market position, customer satisfaction and user adoption, and it is key to transforming business users to Citizen Data Scientists to improve results and team skills. Here, we examine the benefits of Augmented Analytics and how to plan and successfully execute an Augmented Analytics initiative.

Download White Paper

Citizen Data Scientists Need These 3 Things to Succeed!

author_img
by |
March 5, 2024

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.

Original Post: Citizen Data Scientists Need These 3 Things to Succeed!

Should I Start a Citizen Data Scientist Program?

author_img
by |
October 4, 2023

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.

Continue reading “Should I Start a Citizen Data Scientist Program?”

Case Study : Smarten Augmented Analytics Case Study- Implementation for India-Based Restaurant Chain!

author_img
by |
May 11, 2023

The Client is among the top five Food and Beverage (F&B) companies in India with a chain of several leading restaurant brands, and is known for being a trailblazer in its field.

Continue reading “Case Study : Smarten Augmented Analytics Case Study- Implementation for India-Based Restaurant Chain!”

Case Study : Smarten Analytics Case Study – Implementation for Largest Global Air Cooler Company in India

author_img
by |
April 25, 2023

The Client is the largest global manufacturer of Air Coolers. The Client is an India-based Multi-National Company with a presence in over sixty (60) countries. As the market leader, this enterprise enjoys a prime position in the residential, industrial and commercial market segments and its brand is considered synonymous with cooling products in the global market. The Client is a market disrupter in what is a diverse and poorly organized sector and it has set the market benchmark with 201 trademarks, 64 registered designs, 15 copyrights and 48 patents, thereby setting the gold standard for air cooling in the global market.

Continue reading “Case Study : Smarten Analytics Case Study – Implementation for Largest Global Air Cooler Company in India”

The Efficacy of Citizen Data Scientists is Proven!

author_img
by |
October 13, 2022

Listen to the Experts: Citizen Data Scientist Results are Real!

Gartner has predicted that, ‘a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.’ As businesses embrace the concept of transforming business users to Citizen Data Scientists, the Gartner prediction takes on a very practical application and enterprises try to sort through the roles of data scientists, business analysts and Citizen Data Scientists.

‘You can be a subject matter expert, or a professional trained in a very specific business function or industry and you can combine this expertise with augmented analytics to achieve your goals.’

Those at the top of major corporations, with experience in managing the reality of the data science landscape, are now realizing that they can create a collaborative environment that includes those who have data science and statistical experience, as well as those who have professional experience that is brought to bear for operational and strategy decisions by combining industry and domain knowledge with intuitive data tools and solutions.

In a recent CDOTrends Article, experts describe a data analytical environment that includes economists, engineers, data scientists and others from varied disciplines. In another publication in Fortune Magazine, experts talk about the very real evolution of data science and the fact that professionals at all levels will need to use, and WILL be using, data and analytics.

The Results Are In: Citizen Data Scientists ARE Beneficial

These articles point out the fact that Gartner predictions are now a reality, and that data science is proliferating across organizations of all sizes in all industries. Foundational data science skills are important but, as Gartner has predicted, the sophisticated, professional data scientist training is not required for business users to participate in, and benefit from, data analytics. Augmented analytics, designed for use by business users, provide tools that are easy enough for all users, and allow for natural language processing (NLP) and search analytics in an environment where users only have to ask a question, and can then allow a system to provide the context-oriented response they need to gain insight into an issue.

You can be a subject matter expert, or a professional trained in a very specific business function or industry, and you can combine this expertise with augmented analytics to achieve your goals. Data Scientists can then focus on strategic initiatives where analytics must be 100% accurate. When a business provides support for business users to transition into Citizen Data Scientists, the tools allow business users to leverage sophisticated techniques and to become more data literate and comfortable with analytics as part of their day-to-day workflow and business processes.

All of this is a long way of saying that Citizen Data Scientists are a reality today, and that the evidence of efficacy and effectiveness exists in many organizations today.

‘Combining professional experience to make operational and strategy decisions, and a user’s industry and domain knowledge with intuitive data tools and solutions is a powerful benefit to the enterprise.’

As we gain experience with the new reality of distributed data science, we hear from senior executives and experts who have seen the good and the bad of the evolution. And, the experts tell us that the most important trait of successful data analysis is curiosity. Citizen Data Scientists can use their experience in their role to ask the right questions and allow the new generation of augmented analytics solutions to provide the answers, without coding or sophisticated data science skills. Business users can easily understand what the data is saying in layman’s terms and translate complex issues into insight that is easy to understand.

Transforming business users into Citizen Data Scientists, provides advantages to the organization, to the business users and to data scientists. Today, businesses can explore a FREE Online Citizen Data Scientist Course, and the right augmented analytics solution, and organizational planning, to build a solid foundation and business user confidence. The business should also consider engaging an IT consulting partner with knowledge of the augmented analytics market, and a solution and support services to provide the guidance and Products And Services your business will need to succeed.

Original Post : The Efficacy of Citizen Data Scientists is Proven!

Imagine How Citizen Data Scientists Can Help Your Business!

author_img
by |
September 13, 2022

Imagining the Impact of Citizen Data Scientists!

Technology research and analysis firm, Gartner, coined the term, ‘analytic process automation.’ This process ‘converges data science, analytic and process automation into a single platform—which helps companies automate and integrate the way data and business processes come together. Companies can also make data more actionable across the organization.’

‘By providing augmented analytics tools to all business users, with appropriate access and security, each team member has seamless, clear insight into data and can apply analytics to support their roles and responsibilities.’

When an enterprise undertakes a Citizen Data Scientist initiative, it is striving to do just that. In other words, the business wants to make data more actionable across the organization.

In this article, we review the possibilities of the Citizen Data Scientist environment in an effort to help your organization imagine the new business landscape.

Citizen Data Scientists Achieve More Results

Power Users and Champions

With the right augmented analytics tools, designed specifically for business users, team members can leverage analytics, smart data visualization, self-serve data prep and predictive analytics and all of the sophisticated analytical techniques they will need to make fact-based decisions and recommendations. Those team members who are curious about analytics and comfortable sharing knowledge of these technology tools will become power users and champion the democratization of data and data literacy throughout the organization. This cultural shift will take team members out of the ‘wait and see’ environment and avoid guesswork and opinion, and the delays and data gaps that occur when a business user must depend on IT or on data scientists to get detailed, concise reports.

Business Process Streamlining

By enabling personalized dashboards and pushing alerts and reports, businesses processes can be streamlined and users can create dependable processes and actionable data without wading through restrictive reports, or trying to interpret information coming from disparate sources and staff members. Key Performance Indicators (KPIs) provide streamlined, data-based metrics and measurements and keep the team on track.

Collaboration

Augmented Analytics solutions that support business users encourage collaboration and data sharing and allow users to test theories and hypothesize, sharing the results of their research and creating business use cases that can be applied to real-world issues, challenges and opportunities.

Goals and Objectives

By providing augmented analytics tools to all business users, with appropriate access and security, each team member has seamless, clear insight into data and can apply analytics to support their roles and responsibilities. Actions and tasks can be tied to appropriate metrics and to specific goals and objectives to ensure that every team member is working to achieve business goals in a timely, accurate fashion.

‘When an enterprise undertakes a Citizen Data Scientist initiative, it is striving to make data more actionable across the organization.’

Transforming business users into Citizen Data Scientists, provides advantages to the organization, to the business users and to data scientists. With appropriate Citizen Data Scientist Training, the right augmented analytics solution, and organizational planning, the business can provide a solid foundation and build business user confidence by providing an introduction and fundamental information on Predictive Analytics and other tools these users will employ. The business should also consider engaging an IT consulting partner with knowledge of the augmented analytics market, and a solution and support services to provide the guidance and Products And Services your business will need to succeed.

Original Post : Imagine How Citizen Data Scientists Can Help Your Business!

Augmented Analytics Use Cases for Citizen Data Scientists!

author_img
by |
August 1, 2022

Enable Citizen Data Scientist User Adoption of Augmented Analytics with Business Use Cases!

Gartner research states that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ This prediction is supported by initiatives in businesses around the world, as the average enterprise recognizes the value of fact-based decisions and improved business agility.

For a business to succeed in transforming business users to Citizen Data Scientists, it must have a firm grasp on how to use – and encourage team members to use – augmented analytics. Simply providing the advanced analytics solution and integrated data across the enterprise does not ensure user adoption. But, if a user can understand how these solutions will make their jobs easier, and how augmented analytics can help a team member improve their contribution, speed the business process and increase their career potential, user adoption is more likely.

‘Appropriate Citizen Data Scientist training and organizational planning will provide a solid foundation and build business user confidence by providing an introduction, fundamental information and the tools these users will need to succeed.’

In this article, we explore a few examples of business use cases to illustrate how a business user can examine real world business issues within the augmented analytics environment to create data stories and reveal clear, concise results to support recommendations and actionable direction.

Citizen Data Scientists Employ Business Use Cases to Succeed

Customer Churn

By understanding why customers abandon your business, you can address the root causes and issues that create customer churn and prioritize these issues to address the most important factors first. You can alter marketing messages and campaigns to improve results and even create new products or services that will improve customer satisfaction and retention.

Among the many considerations you might analyze for customer churn, your business use case might include services that each customer uses like phones, the number of phones lines, internet services, online security, online backup, device protection, tech support, and streaming TV and movies or you might look at customer account information such as how long they have been a customer, the contract length and detail, payment method, paperless billing, monthly charges, and total charge. Customer churn analysis might also include demographic information about customers like gender, age range, and if they have partners and/or dependents

When considering customer churn analysis, one might use the binary logistic regression technique.

Product and Service Cross-Selling

The use case for product and service cross-selling and up-selling is useful to understand what your customers like, and where you can cross-sell, bundle or up-sell other products by leveraging what you know about your customer’s buying behavior. Every business needs to know what makes a customer buy or try another product and what features, design or product or service combinations might help the business sell more units. For example, a retail store manager may want to analyze the optimal and strategic placement of various products in order to increase cross sales.

By looking at transactions, the date of a purchase and what the customer purchased, the business can develop a comprehensive understanding of behavior and brand loyalty. The enterprise will benefit by increasing revenue, targeting new products and services, creating marketing messages to target a particular customer demographic and improving brand loyalty and the product and service mix. One could consider the date of purchase and the products purchased to find item combinations and the frequency of purchase.

To perform analysis on this type of use case, the business might use Frequent Pattern Mining.

Human Resource Attrition

This use case focuses on human resource attrition. Like customer retention, human resource retention is important because stable retention eliminates the cost of advertising, interviewing, hiring and training a new employee. Human resource attrition analysis allows the business to see which employees are likely to leave and which will remain loyal, based on tenure, training, job responsibilities, and other factors.

The analytical data set will include pay, performance and reward information, past work experience, team member demographic information like gender, age, education, marital status and employment tenure, as well as job satisfaction rankings for things like satisfaction with pay, and surveys and more. The business might also include performance-reward contingencies.

By reducing employee turnover, the business can improve hiring and screening processes, optimize human resources and compensation, improve training programs and increase employee loyalty and satisfaction.

For this business use case, the business might use the Binary Logistic Regression technique.

For any or all of these Business Use Case examples or any of the many other use cases a team member might want to examine, the augmented analytics solution will provide a sophisticated underpinning of machine learning, natural language processing (NLP) search capability and an intuitive interface to enable and speed the analytics process with tools that are designed for the average business user and require no data science or IT experience or knowledge.

‘For a business to succeed in transforming business users to Citizen Data Scientists, it must have a firm grasp on how to use – and encourage team members to use – augmented analytics.’

Transforming business users into Citizen Data Scientists, provides advantages to the organization, to the business users and to data scientists. Appropriate Citizen Data Scientist Training and organizational planning will provide a solid foundation and build business user confidence by providing an introduction and fundamental information on Predictive Analytics and other tools these users will employ. The business should also consider engaging an IT consulting partner with knowledge of the augmented analytics market, and a solution and support services to provide the guidance and Products And Services your business will need to succeed.

Original Post : Augmented Analytics Use Cases for Citizen Data Scientists!

How Can Citizen Data Scientists Help My Business Succeed?

author_img
by |
July 18, 2022

The Citizen Data Scientist Role and Benefits and How to Get Started!

Gartner has predicted that, ‘90% the world’s top 500 companies will have converged analytics governance into broader data and analytics governance initiatives.’ If you wish to compete, your business will want to follow the lead of these top companies. By incorporating analytics into day-to-day activities and allowing access for business users, the business can encourage the transition from business user to Citizen Data Scientist and create a comprehensive system of analytics with governance and collaboration to ensure security, appropriate access, mobile use and fact-based decision-making.

‘The path to Citizen Data Scientist does not have to be fraught with uncertainty.’

If you are a team member in a business environment, your role within that business is unique. But, it doesn’t matter what your role is or what your responsibilities are, it doesn’t matter what tasks or activities you must perform, you need good, solid data to make effective, fact-based decisions. And, your decisions must be swift because business is moving at the speed of light! Add to this the fact that your responsibilities seem to grow in scope and depth every day, and you can see how crucial it is to have the right support and solutions to help you achieve your goals.

If you are considering a transition to Citizen Data Scientist, or your business management team has informed you of their intent to make that transition, you probably have a lot of questions about the process and the role.

The What, Why and How of the Citizen Data Scientist Role

What is a Citizen Data Scientist?

Citizen Data Scientists are not business analysts or data scientists. They are business users and team members 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. To fulfill the role of Citizen Data Scientists, business users will 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.

Why is it important to implement a Citizen Data Scientist Program?

Business users can leverage domain and primary skills and expertise to gain insight into results using augmented analytics. Your team can interact with and collaborate with IT and data scientists to define business use cases and refine outcomes, and users are empowered to use analytical tools to hypothesize, prototype, forecast and predict, so the organization can identify issues, challenges and results prior to implementing changes in pricing, products, customer outreach, organizational structure, and all manner of operational decisions. The Citizen Data Scientist initiative will improve the accuracy of decisions, and allow users to share data and models with other users, thereby adding value to the organization. The enterprise can create and manage goals and objectives using measurable data and can improve time to market and make better decisions. The Citizen Data Scientist approach is crucial to sustained competitive advantage and to nurturing human resource assets, improving productivity and making the right decisions at the right time. Businesses and users can get ahead of the curve in the market and enable true collaboration.

‘The business can encourage the transition from business user to Citizen Data Scientist and create a comprehensive system of analytics.’

When a business makes the decision to implement a Citizen Data Scientist initiative, it must have a clear vision of the path to get business users to a new role, and to support those users with the augmented analytics tools and cultural changes required to encourage user adoption of analytics solutions and techniques. The path to Citizen Data Scientist does not have to be fraught with uncertainty. With the right cultural changes and management and technology support, the team can improve data literacy and encourage data democratization. Training is a key component of this success. But it needn’t be a lengthy, complex process.

An in-person or online training program that introduces the role and provides examples of Use Cases and Case Studies can help business users see how these tools might be used within the confines of their own role in the organization.

Explore the options her: One-Day In-Person Or Online Workshop For Citizen Data Scientists or Self-Paced eLearning Citizen Data Scientist sessions.

Find out more about the Citizen Data Scientist Path, Citizen Data Scientist Training and Augmented Analytics. We can help your business succeed and improve user adoption and data literacy.

Original Post : The What, Why and How of the Citizen Data Scientist Role!

Citizen Data Scientists Can Collaborate with Others!

author_img
by |
July 4, 2022

How Should My Citizen Data Scientists Work with Data Scientists and Analysts?

Gartner has predicted that, ‘30% of organizations will harness the collective intelligence of their analytics communities, outperforming competitors that rely solely on centralized analytics or self-service.’ What does this mean for business Citizen Data Scientist initiatives? It does NOT mean that the organization should turn away from this type of initiative. What it DOES mean is that a business should recognize the value and purpose of each aspect of its analytical community.

Continue reading “Citizen Data Scientists Can Collaborate with Others!”