Augmented Analytics Use Cases for Citizen Data Scientists!

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.

How Can Citizen Data Scientists Help My Business Succeed?

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 PathCitizen 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!

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.

4 Important Benefits of Digital Transformation!

If your business is considering a Digital Transformation initiative, it may be mired in questions about the value vs. the cost and time to make this change. While it is true that a Digital Transformation initiative takes some effort, there are numerous long-term benefits to this effort. In this article, we explore four of the benefits of Digital Transformation, in hopes of helping your organization articulate and affirm the advantages to make a decision that is right for your enterprise.

Please Consider Your Business Users When Selecting an Analytics and Data Search Tool!

This article should serve as a plea on behalf of the average business user!

Business users are business professionals who have expertise in an industry or market arena or perform a function to support the ongoing operation of the business – professionals who may be front line workers on a production line, finance professionals, sales representatives, non-profit office workers, medical researchers, middle managers, regional managers for retail chains, transportation dispatchers or…well, you get the idea. These team members know their job and they do it well. But, they probably don’t have the technical skills to write a SQL query, or to filter out the columns and fields for an analytical search in order to get the results they need to make a decision.

Citizen Data Scientists Can Help You Achieve Your Goals!

Think of What Citizen Data Scientists Can Do to Help Your Business!

Whether you have recently been nominated to become a Citizen Data Scientist or you are considering the value of this type of transition for your business, managers and team members alike often ask exactly what a Citizen Data Scientist can do. According to technology research firm, Gartner, the number of Citizen Data Scientists will grow at five times the rate of traditional data scientists. If that’s the case, there must be something to this trend, right?

3 Things Citizen Data Scientists Need in Predictive Analytics!

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise. Team members who have access to augmented analytics and assisted predictive modeling can plan better, predict more accurately and dependably meet goals and objectives.

Smarten Announces Free Online Citizen Data Scientist Course Available to All!

Smarten Announces Free Online Citizen Data Scientist Course Available to All

Smarten is pleased to announce the launch of its FREE online Citizen Data Scientist course. This self-paced, online Citizen Data Scientist course can help businesses make the most of the Citizen Data Scientist experience by providing foundational training for business users who are Citizen Data Scientist candidate. It is also suitable for those that wish to find out more about the Citizen Data Scientist approach to Data Literacy and fact-based decision-making. It provides an individual study environment that includes video, slides, lectures and supporting documentation for further study and reference.

 

Smarten CEO, Kartik Patel says, ‘This comprehensive, free online course is designed to support businesses and individuals who wish to pursue, or are interested in finding out more about, the Citizen Data Scientist journey. The Smarten advanced analytics product suite was specifically designed to support business users and those with average technology skills and offers sophisticated analytics tools in an intuitive, easy-to-use environment and this self-paced course material is a natural extension of the self-serve Smarten Augmented Analytics approach.’

This Free Citizen Data Scientist Course describes the Citizen Data Scientist role, and its benefits to team members and the organization, including improved data literacy, support for user adoption of augmented analytics tools, and an understanding of the basic algorithms and analytical techniques used in the process. There are no prerequisites for this course. It is intended for business and technology users and team members within the business environment.

“By the end of this course, participants will understand the role and value of Citizen Data Scientists and the benefits to the organization, as well as the integration points and cultural shifts that will position analytical professionals and Citizen Data Scientists to work more productively,” Patel says. “ Participants will gain a basic understanding of applicable analytical techniques, including predictive analytics, how to apply these techniques to real world business use cases and the augmented analytics tools they can use to make fact-based decisions and move the organization forward. We believe this course can play a valuable role in moving an enterprise and its users toward a more data literate environment.”

By providing this course as a free online offering Smarten hopes to further support and encourage users and businesses to embrace the very real benefits of the Citizen Data Scientist approach to analytics and objective, data-driven metrics and results.

Begin the Citizen Data Scientist Journey now, or contact the Smarten team for more information on Smarten Augmented Analytics solution.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include Assisted Predictive ModelingSmart Data VisualizationSelf-Serve Data PreparationSentiment Analysis, and Clickless Analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. Smarten is listed in multiple Gartner Reports including Gartner Data Preparation Report, the Market Guide for Enterprise-Reporting-Based Platforms and the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report for the ElegantJ BI Business Intelligence Suite.

Original Post : Smarten Announces Free Online Citizen Data Scientist Course Available to All!

Enjoy the Benefits of Citizen Data Scientist Initiatives!

Business Users & Data Scientists Benefit from Citizen Data Scientist Initiatives!

A business that does not optimize its resources is doomed to fail. In this rapidly changing business environment and market, every organization must make the best of precious human resources. No one has enough funding to hire additional resources to get the job done and, when there are extra funds, those funds are quickly earmarked for new products, marketing and other crucial activities.