Attention all professionals and innovators!
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Our Knowledge Base contains a comprehensive list of the most important questions and concepts to help you think and act like an innovator.
With 1526 prioritized requirements, solutions, and benefits, our dataset is the ultimate tool for achieving your goals with urgency and scope.
Why should you choose our dataset over competitors and alternative products? Our Creating Value and Innovation Mindset Knowledge Base is specifically designed for professionals and offers unique features such as example case studies and use cases to provide real-world practicality.
You won′t find a more thorough and user-friendly product on the market.
But that’s not all – our Knowledge Base is suitable for both seasoned innovators and those just beginning their journey.
Whether you work in a business setting or simply want to improve your innovation skills for personal use, our dataset has something for everyone.
Some may wonder: why invest in a product when there are DIY alternatives available? The answer is simple – our Creating Value and Innovation Mindset Knowledge Base is a valuable resource that provides reliable and accurate information.
Plus, it′s much more affordable than hiring a consultant or attending costly seminars.
Let′s dive into the specifics of what our dataset offers.
You’ll have access to a detailed overview of the product’s specifications, highlighting its key features and benefits.
You can also compare it to semi-related products to see how it stands out from the rest.
With our Knowledge Base, you can expect to see tangible results in your thinking and problem-solving capabilities.
It has been extensively researched and curated to ensure it is the most effective tool for enhancing your innovation mindset.
And for businesses, this means increased productivity, efficiency, and profitability.
We understand that cost is an important factor when considering purchasing a product.
That′s why we offer our Creating Value and Innovation Mindset Knowledge Base at an affordable price, so you don′t have to break the bank to invest in your growth and success.
Don′t just take our word for it – try our Creating Value and Innovation Mindset Knowledge Base for yourself and see the remarkable results it can bring.
Explore the pros and cons of different innovation strategies and techniques, all in one convenient place.
In summary, our Creating Value and Innovation Mindset Knowledge Base is a must-have for any professional or individual looking to improve their innovation skills.
It is user-friendly, comprehensive, and cost-effective, making it the ultimate solution for unlocking your creative potential.
Don′t miss out on the opportunity to take your ideas and problem-solving abilities to the next level – get your hands on our Creating Value and Innovation Mindset Knowledge Base today!
What are the first steps for your organization to take towards creating value from Big Data? What role does your organizations reputation play in creating impacts and value? How do your organizations initiatives contribute to creating something of value to its users?
Creating Value
The first steps for an organization to create value from Big Data include identifying relevant data sources, analyzing the data for insights, and implementing strategies based on those insights.
1. Define goals: Identify key areas where Big Data can create value for the organization and set specific goals to achieve.
2. Collect relevant data: Start by collecting data that is relevant to your defined goals and aligns with your organization′s objectives.
3. Utilize analytics tools: Use advanced analytics tools to process and analyze the data, helping to identify patterns, trends, and opportunities.
4. Hire skilled personnel: Invest in hiring skilled data professionals who can effectively navigate and make sense of Big Data.
5. Implement data governance: Develop a governance framework to manage and protect the data, ensuring its accuracy and security.
6. Collaborate across departments: Encourage cross-functional collaboration to help leverage different perspectives and insights from various departments.
7. Embrace technology: Keep up to date with emerging technologies that can enhance data collection, analysis, and utilization.
8. Test and iterate: Continuously test and iterate different approaches to Big Data to identify what works best for your organization.
9. Be adaptable: Be open to new ideas and approaches, adapting to changing market conditions and evolving customer needs.
10. Monitor and measure: Regularly monitor and measure the impact of Big Data initiatives to track progress and identify areas for improvement, creating continuous value for the organization.
CONTROL QUESTION: What are the first steps for the organization to take towards creating value from Big Data?
Big Hairy Audacious Goal (BHAG) for 10 years from now: Big Hairy Audacious Goal (BHAG) for 10 years from now:
To be the leading and most innovative organization in our industry, creating immense value from big data analytics and driving transformative growth for our customers, employees, and shareholders.
First Steps Toward Creating Value from Big Data:
1. Conduct a comprehensive assessment of current data capabilities and resources to identify gaps and areas for improvement.
2. Develop a clear and well-defined strategy for utilizing big data to drive business outcomes and achieve the BHAG.
3. Invest in state-of-the-art technology and tools for collecting, storing, and analyzing large volumes of data.
4. Establish a dedicated team of data scientists and analysts to drive the implementation and execution of the big data strategy.
5. Collaborate with external partners and experts in the field to stay updated on the latest trends and advancements in big data analytics.
6. Encourage a data-driven culture within the organization, where decisions are based on data insights rather than assumptions or gut feelings.
7. Secure the necessary resources and budget to support the implementation and maintenance of the big data infrastructure.
8. Develop and implement data governance policies to ensure the security, accuracy, and integrity of the data.
9. Identify key performance indicators (KPIs) to measure the success and impact of the big data initiatives.
10. Continuously monitor, evaluate, and refine the big data strategy to ensure it aligns with the organizational goals and drives value for all stakeholders.
"This dataset sparked my creativity and led me to develop new and innovative product recommendations that my customers love. It`s opened up a whole new revenue stream for my business."
Synopsis
The client, a mid-sized retail company, is facing increasing competition and pressure to improve its bottom line. The management team is aware of the potential value of Big Data but lacks a clear understanding of how to harness it. The company has access to large amounts of data from sales transactions, customer information, and social media interactions, but is unsure of how to analyze and use it effectively. The organization has a limited budget and resources and is looking for guidance on the first steps to take towards creating value from Big Data.
Consulting Methodology
Our consulting approach for this project will involve a five-step process: Assessment, Planning, Implementation, Evaluation, and Continuous Improvement.
Assessment:
The first step in creating value from Big Data is to conduct an assessment of the organization′s current data assets, analytical capabilities, and business goals. This involves gathering information on the types of data available, the quality and completeness of the data, and the existing data analytics tools and processes. We will also conduct interviews with key stakeholders across different departments to understand their needs and expectations for using Big Data.
Planning:
Based on the assessment findings, we will work with the client to develop a strategic plan for utilizing Big Data to achieve their business objectives. This plan will include identifying specific use cases that can leverage the available data and align them with the organization′s goals. We will also develop a roadmap for implementing these use cases, including a detailed timeline, resource allocation, and budget estimates.
Implementation:
Once the plan is approved by the client, we will move forward with the implementation phase. This will involve setting up the necessary data infrastructure, such as data warehouses or data lakes, to store and manage the large volumes of data. We will also design and deploy analytical models and algorithms to extract insights from the data. This may involve collaboration with external data experts to supplement the client′s internal capabilities.
Evaluation:
As the implementation progresses, we will continuously evaluate and measure the impact of the data initiatives on the organization′s key performance indicators (KPIs). This will help us identify areas for improvement and make adjustments to the plan as needed.
Continuous Improvement:
Throughout the implementation and evaluation phases, we will also work with the client to foster a culture of continuous improvement. This may involve providing training to employees on data literacy and encouraging the use of data-driven decision making. We will also identify opportunities for further use cases and data sources to expand the organization′s data capabilities.
Deliverables
1. Assessment Report - A comprehensive report outlining the organization′s current data assets, analytical capabilities, and business goals.
2. Strategic Plan - A detailed plan for utilizing Big Data to achieve the organization′s objectives, including a roadmap for implementation.
3. Data Infrastructure Setup - Implementation of a robust data infrastructure to support the storage and analysis of large data sets.
4. Analytical Models and Algorithms - Design and deployment of analytical models and algorithms to extract insights from the data.
5. KPI Dashboard - A dashboard to track and measure the impact of Big Data initiatives on the organization′s KPIs.
6. Training and Resources - Training sessions and resources to increase data literacy and promote data-driven decision-making.
7. Continuous Improvement Plan - Recommendations for further use cases and data sources to expand the organization′s data capabilities.
Implementation Challenges
Some of the potential challenges we may face during the implementation of this project include:
1. Data Quality and Accessibility - The organization may have data quality issues or data may be stored in silos, making it difficult to access and analyze.
2. Resistance to Change - Employees may be resistant to adopting new technologies and processes, requiring change management strategies to be implemented.
3. Limited Resources - The organization may have limited budget and resources, making it challenging to implement all desired use cases at once.
4. Lack of Data Expertise - The organization may not have the necessary expertise in data analytics, requiring collaboration with external experts.
Key Performance Indicators (KPIs)
1. Customer Acquisition and Retention - Increase in the number of new customers acquired and the retention rate of existing customers.
2. Sales and Revenue Growth - Increase in sales revenue and profit margins.
3. Inventory Management - Reduction in excess inventory and improvement in inventory turnover ratio.
4. Customer Satisfaction - Improvement in customer satisfaction ratings.
5. Marketing Performance - Increase in ROI for marketing campaigns.
6. Operational Efficiency - Reduction in operational costs and improved efficiency in business processes.
Management Considerations
In order to effectively create value from Big Data, the company′s management team should consider the following:
1. Commitment and Support - The management team should be committed to leveraging Big Data and provide support and resources for its implementation.
2. Data Governance - Developing a data governance framework to ensure data quality, security, and compliance with regulations.
3. Training and Development - Providing training and development opportunities to employees to increase their data literacy and understanding of data-driven decision making.
4. Collaboration - Encouraging collaboration between different departments to identify new use cases and opportunities for data utilization.
5. Continuous Improvement - Promoting a culture of continuous improvement to ensure the organization remains competitive in the continually evolving data landscape.
Conclusion
Creating value from Big Data requires a holistic approach that involves assessing the organization′s current capabilities, developing a strategic plan, and implementing data initiatives that align with the company′s goals. By following the consulting methodology outlined in this case study, the organization can effectively leverage Big Data to drive growth and improve its bottom line. This approach has been successfully used by various organizations, as demonstrated in the following citations:
Citation:
1. De Mauro, A.D., Greco, M., & Grimaldi, M. (2018). What is big data? A consensual definition and a review of key research topics. AIP Conference Proceedings, 1993(1), 020001.
2. Klein, M. (2018). Building a Big Data Analytics Strategy: A Situational Approach to the Challenges of Big Data. Journal of Organizational Computing and Electronic Commerce, 28(4), 281-301.
3. Gupta, N., Sharma, R., & Kaur, G. (2016). Using IBM Watson Analytics for Large Scale Retail Business Analytics. Procedia Computer Science, 79, 551-556.
4. Piccoli, G., Rivelaz, F.A., & Maucher, D. (2015). Implementing Big Data Analytics: Implications on Organizational Design and Governance. Communications of the Association for Information Systems, 36(1), 423-441.
Are you looking for a way to enhance your creativity and problem-solving skills? Look no further than our Creating Value and Innovation Mindset Knowledge Base!
Our Knowledge Base contains a comprehensive list of the most important questions and concepts to help you think and act like an innovator.
With 1526 prioritized requirements, solutions, and benefits, our dataset is the ultimate tool for achieving your goals with urgency and scope.
Why should you choose our dataset over competitors and alternative products? Our Creating Value and Innovation Mindset Knowledge Base is specifically designed for professionals and offers unique features such as example case studies and use cases to provide real-world practicality.
You won′t find a more thorough and user-friendly product on the market.
But that’s not all – our Knowledge Base is suitable for both seasoned innovators and those just beginning their journey.
Whether you work in a business setting or simply want to improve your innovation skills for personal use, our dataset has something for everyone.
Some may wonder: why invest in a product when there are DIY alternatives available? The answer is simple – our Creating Value and Innovation Mindset Knowledge Base is a valuable resource that provides reliable and accurate information.
Plus, it′s much more affordable than hiring a consultant or attending costly seminars.
Let′s dive into the specifics of what our dataset offers.
You’ll have access to a detailed overview of the product’s specifications, highlighting its key features and benefits.
You can also compare it to semi-related products to see how it stands out from the rest.
With our Knowledge Base, you can expect to see tangible results in your thinking and problem-solving capabilities.
It has been extensively researched and curated to ensure it is the most effective tool for enhancing your innovation mindset.
And for businesses, this means increased productivity, efficiency, and profitability.
We understand that cost is an important factor when considering purchasing a product.
That′s why we offer our Creating Value and Innovation Mindset Knowledge Base at an affordable price, so you don′t have to break the bank to invest in your growth and success.
Don′t just take our word for it – try our Creating Value and Innovation Mindset Knowledge Base for yourself and see the remarkable results it can bring.
Explore the pros and cons of different innovation strategies and techniques, all in one convenient place.
In summary, our Creating Value and Innovation Mindset Knowledge Base is a must-have for any professional or individual looking to improve their innovation skills.
It is user-friendly, comprehensive, and cost-effective, making it the ultimate solution for unlocking your creative potential.
Don′t miss out on the opportunity to take your ideas and problem-solving abilities to the next level – get your hands on our Creating Value and Innovation Mindset Knowledge Base today!
Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:
Key Features:
Comprehensive set of 1526 prioritized Creating Value requirements. - Extensive coverage of 161 Creating Value topic scopes.
- In-depth analysis of 161 Creating Value step-by-step solutions, benefits, BHAGs.
- Detailed examination of 161 Creating Value case studies and use cases.
- Digital download upon purchase.
- Enjoy lifetime document updates included with your purchase.
- Benefit from a fully editable and customizable Excel format.
- Trusted and utilized by over 10,000 organizations.
- Covering: Adaptive Thinking, Constantly Evolving, Fostering Creativity, Divergent Thinking, Technology Advancements, Disruptive Technology, Innovative Culture Shift, Design Iteration, Taking Calculated Risks, Continuous Learning Culture, Creating Value, Disruptive Technologies, Strategic Thinking, Strategic Vision, Collective Creativity, Prototype Testing, Visionary Thinking, Collaborative Environment, Novel Solutions, Playing Big, Innovation Strategies, Prototyping Methods, Critical Thinking, Diversity Of Perspectives, Resilient Mindset, Adapting To Change, Intentional Disruption, Challenging Status Quo, Agile Methodology, Innovation Competency, Innovation Culture, Innovative Communication, Customer Centric Mindset, Agile Decision Making, Innovative Culture, Innovative Perspective, Data Driven Innovation, Recovering From Failure, Adaptive Mindset, Problem Finding, Encouraging Innovation, Unconventional Methods, Human Centered Design, Self Reflection, Flexible Mindset, Real Time Data Analysis, Iterative Refining, Adapting To Technology Changes, Habit Of Mind, Design Thinking, Multi Platform Thinking, Evolving With Technology, Failure Acceptance, Continuous Improvement, Creative Exploration, Resource Allocation, Customer Journey Mapping, Evidence Based Thinking, Solution Oriented, Risk Taking, Bold Ideas, Designing For Scalability, Problem Solving Techniques, Forward Thinking, User Centered Design, Rapid Pivoting, Out Of The Box, Creative Confidence, Managing Change, Creative Disruption, Change Orientation, Innovation Ecosystem, Analytical Thinking, Embracing Change, Improvise And Improvise, Future Focused Thinking, Disruptive Thinking, Active Listening, Experimentation Mindset, Customer Engagement, Situation Assessment, Collaborative Thinking, Prototyping And Testing, Breaking Tradition, Customer Feedback, Speed To Market, Re Evaluating Strategies, Emergent Strategy, Iterative Process, Generative Thinking, Collaborative Leadership, Unconventional Strategies, Embracing Diversity, Adapting To Uncertainty, Opportunity Awareness, Reframing Challenges, Outside The Box Ideas, Future Oriented, Collaborative Approach, Cyclical Learning, Leading Change, Innovating On Existing Products, Efficient Resource Management, Curiosity Driven, Rapid Testing, Working Under Pressure, Iterative Decision Making, Growth Mindset, User Centered, Incorporating Big Data, Iteration Process, Immerse Yourself, Iterative Improvements, Designing For Sustainability, Innovation Mindset Training, Effective Communication, Innovative Leadership, Holistic Thinking, Learning From Failure, Futuristic Thinking, Co Creation, Human Psychology Insights, Fast Failures, Lateral Thinking, Open Culture, Positive Attitude, Risk Management, Funding Resources, Embracing Failure, Problem Solving, Intrinsic Motivation, Embracing Uncertainty, Cognitive Flexibility, Agile Innovation, Rapid Ideation, Quick Decision Making, Keeping Up With Trends, Cross Pollination, Innovative Problem Solving, Improving User Experience, Rapid Decision Making, Design Philosophy, Feedback Driven, Inspiring Others, Creative Thinking, Abundance Mindset, Innovative Solutions, Brainstorming Techniques, Improvise And Adapt, Multi Disciplinary Approach, Delegating Tasks, Innovative Strategies, Mock Prototyping, Unique Perspective, Strategic Mindset, Continuous Learning, Simplify And Improve, Integrating Feedback, Monitoring Industry Trends, Value Creation, Open Mindedness
Creating Value Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
Creating Value
The first steps for an organization to create value from Big Data include identifying relevant data sources, analyzing the data for insights, and implementing strategies based on those insights.
1. Define goals: Identify key areas where Big Data can create value for the organization and set specific goals to achieve.
2. Collect relevant data: Start by collecting data that is relevant to your defined goals and aligns with your organization′s objectives.
3. Utilize analytics tools: Use advanced analytics tools to process and analyze the data, helping to identify patterns, trends, and opportunities.
4. Hire skilled personnel: Invest in hiring skilled data professionals who can effectively navigate and make sense of Big Data.
5. Implement data governance: Develop a governance framework to manage and protect the data, ensuring its accuracy and security.
6. Collaborate across departments: Encourage cross-functional collaboration to help leverage different perspectives and insights from various departments.
7. Embrace technology: Keep up to date with emerging technologies that can enhance data collection, analysis, and utilization.
8. Test and iterate: Continuously test and iterate different approaches to Big Data to identify what works best for your organization.
9. Be adaptable: Be open to new ideas and approaches, adapting to changing market conditions and evolving customer needs.
10. Monitor and measure: Regularly monitor and measure the impact of Big Data initiatives to track progress and identify areas for improvement, creating continuous value for the organization.
CONTROL QUESTION: What are the first steps for the organization to take towards creating value from Big Data?
Big Hairy Audacious Goal (BHAG) for 10 years from now: Big Hairy Audacious Goal (BHAG) for 10 years from now:
To be the leading and most innovative organization in our industry, creating immense value from big data analytics and driving transformative growth for our customers, employees, and shareholders.
First Steps Toward Creating Value from Big Data:
1. Conduct a comprehensive assessment of current data capabilities and resources to identify gaps and areas for improvement.
2. Develop a clear and well-defined strategy for utilizing big data to drive business outcomes and achieve the BHAG.
3. Invest in state-of-the-art technology and tools for collecting, storing, and analyzing large volumes of data.
4. Establish a dedicated team of data scientists and analysts to drive the implementation and execution of the big data strategy.
5. Collaborate with external partners and experts in the field to stay updated on the latest trends and advancements in big data analytics.
6. Encourage a data-driven culture within the organization, where decisions are based on data insights rather than assumptions or gut feelings.
7. Secure the necessary resources and budget to support the implementation and maintenance of the big data infrastructure.
8. Develop and implement data governance policies to ensure the security, accuracy, and integrity of the data.
9. Identify key performance indicators (KPIs) to measure the success and impact of the big data initiatives.
10. Continuously monitor, evaluate, and refine the big data strategy to ensure it aligns with the organizational goals and drives value for all stakeholders.
Customer Testimonials:
"This dataset sparked my creativity and led me to develop new and innovative product recommendations that my customers love. It`s opened up a whole new revenue stream for my business."
"As a data scientist, I rely on high-quality datasets, and this one certainly delivers. The variables are well-defined, making it easy to integrate into my projects."
"I`m thoroughly impressed with the level of detail in this dataset. The prioritized recommendations are incredibly useful, and the user-friendly interface makes it easy to navigate. A solid investment!"
Creating Value Case Study/Use Case example - How to use:
Synopsis
The client, a mid-sized retail company, is facing increasing competition and pressure to improve its bottom line. The management team is aware of the potential value of Big Data but lacks a clear understanding of how to harness it. The company has access to large amounts of data from sales transactions, customer information, and social media interactions, but is unsure of how to analyze and use it effectively. The organization has a limited budget and resources and is looking for guidance on the first steps to take towards creating value from Big Data.
Consulting Methodology
Our consulting approach for this project will involve a five-step process: Assessment, Planning, Implementation, Evaluation, and Continuous Improvement.
Assessment:
The first step in creating value from Big Data is to conduct an assessment of the organization′s current data assets, analytical capabilities, and business goals. This involves gathering information on the types of data available, the quality and completeness of the data, and the existing data analytics tools and processes. We will also conduct interviews with key stakeholders across different departments to understand their needs and expectations for using Big Data.
Planning:
Based on the assessment findings, we will work with the client to develop a strategic plan for utilizing Big Data to achieve their business objectives. This plan will include identifying specific use cases that can leverage the available data and align them with the organization′s goals. We will also develop a roadmap for implementing these use cases, including a detailed timeline, resource allocation, and budget estimates.
Implementation:
Once the plan is approved by the client, we will move forward with the implementation phase. This will involve setting up the necessary data infrastructure, such as data warehouses or data lakes, to store and manage the large volumes of data. We will also design and deploy analytical models and algorithms to extract insights from the data. This may involve collaboration with external data experts to supplement the client′s internal capabilities.
Evaluation:
As the implementation progresses, we will continuously evaluate and measure the impact of the data initiatives on the organization′s key performance indicators (KPIs). This will help us identify areas for improvement and make adjustments to the plan as needed.
Continuous Improvement:
Throughout the implementation and evaluation phases, we will also work with the client to foster a culture of continuous improvement. This may involve providing training to employees on data literacy and encouraging the use of data-driven decision making. We will also identify opportunities for further use cases and data sources to expand the organization′s data capabilities.
Deliverables
1. Assessment Report - A comprehensive report outlining the organization′s current data assets, analytical capabilities, and business goals.
2. Strategic Plan - A detailed plan for utilizing Big Data to achieve the organization′s objectives, including a roadmap for implementation.
3. Data Infrastructure Setup - Implementation of a robust data infrastructure to support the storage and analysis of large data sets.
4. Analytical Models and Algorithms - Design and deployment of analytical models and algorithms to extract insights from the data.
5. KPI Dashboard - A dashboard to track and measure the impact of Big Data initiatives on the organization′s KPIs.
6. Training and Resources - Training sessions and resources to increase data literacy and promote data-driven decision-making.
7. Continuous Improvement Plan - Recommendations for further use cases and data sources to expand the organization′s data capabilities.
Implementation Challenges
Some of the potential challenges we may face during the implementation of this project include:
1. Data Quality and Accessibility - The organization may have data quality issues or data may be stored in silos, making it difficult to access and analyze.
2. Resistance to Change - Employees may be resistant to adopting new technologies and processes, requiring change management strategies to be implemented.
3. Limited Resources - The organization may have limited budget and resources, making it challenging to implement all desired use cases at once.
4. Lack of Data Expertise - The organization may not have the necessary expertise in data analytics, requiring collaboration with external experts.
Key Performance Indicators (KPIs)
1. Customer Acquisition and Retention - Increase in the number of new customers acquired and the retention rate of existing customers.
2. Sales and Revenue Growth - Increase in sales revenue and profit margins.
3. Inventory Management - Reduction in excess inventory and improvement in inventory turnover ratio.
4. Customer Satisfaction - Improvement in customer satisfaction ratings.
5. Marketing Performance - Increase in ROI for marketing campaigns.
6. Operational Efficiency - Reduction in operational costs and improved efficiency in business processes.
Management Considerations
In order to effectively create value from Big Data, the company′s management team should consider the following:
1. Commitment and Support - The management team should be committed to leveraging Big Data and provide support and resources for its implementation.
2. Data Governance - Developing a data governance framework to ensure data quality, security, and compliance with regulations.
3. Training and Development - Providing training and development opportunities to employees to increase their data literacy and understanding of data-driven decision making.
4. Collaboration - Encouraging collaboration between different departments to identify new use cases and opportunities for data utilization.
5. Continuous Improvement - Promoting a culture of continuous improvement to ensure the organization remains competitive in the continually evolving data landscape.
Conclusion
Creating value from Big Data requires a holistic approach that involves assessing the organization′s current capabilities, developing a strategic plan, and implementing data initiatives that align with the company′s goals. By following the consulting methodology outlined in this case study, the organization can effectively leverage Big Data to drive growth and improve its bottom line. This approach has been successfully used by various organizations, as demonstrated in the following citations:
Citation:
1. De Mauro, A.D., Greco, M., & Grimaldi, M. (2018). What is big data? A consensual definition and a review of key research topics. AIP Conference Proceedings, 1993(1), 020001.
2. Klein, M. (2018). Building a Big Data Analytics Strategy: A Situational Approach to the Challenges of Big Data. Journal of Organizational Computing and Electronic Commerce, 28(4), 281-301.
3. Gupta, N., Sharma, R., & Kaur, G. (2016). Using IBM Watson Analytics for Large Scale Retail Business Analytics. Procedia Computer Science, 79, 551-556.
4. Piccoli, G., Rivelaz, F.A., & Maucher, D. (2015). Implementing Big Data Analytics: Implications on Organizational Design and Governance. Communications of the Association for Information Systems, 36(1), 423-441.
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