Most business users will have access to self-service Bl tools in the next years, but Gartner expects that less than 10% of firms will have adequate data governance processes in place to minimise cross-organization data inconsistencies. Why do you believe so many firms keep investing in new analytics technologies without implementing data governance programmes? - How important do you think it is for FIMC and other roadside assistance businesses to give customers with mobile apps? Do you think a mobile app will provide FIMC a competitive edge, or is it what most customers expect?

Most business users will have access to self-service Bl tools in the next years, but Gartner expects that less than 10% of firms will have adequate data governance processes in place to minimise cross-organization data inconsistencies. Why do you believe so many firms keep investing in new analytics technologies without implementing data governance programmes? - How important do you think it is for FIMC and other roadside assistance businesses to give customers with mobile apps? Do you think a mobile app will provide FIMC a competitive edge, or is it what most customers expect?

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

Do you have any idea which problems are the hardest to fix?What potential benefits does an enterprise data model provide for Mercy? How crucial is it for Mercy's big data initiative to develop a well thought-out model that defines the company's data requirements and top priorities?
According to Gartner, the majority of business users will have access to a self-service business intelligence tool over the next few years. On the other hand, fewer than 10% of businesses will have appropriate data governance practises to avoid data discrepancies throughout the organisation. Why do so many companies acquire new analytics tools without also purchasing data governance programmes?
What is the "3Vs" concept in big data analytics, and how does it relate to data volume, velocity, and variety?
To what extent do you think it's remarkable that a very tiny company like Sunny Delight could end up with so many distinct analytics tools? How might the fact that Sunny Delight has changed ownership a number of times have influenced the number and diversity of business intelligence (BI) tools that are employed?
Secondly, investigate the costs and benefits that come with switching to an enterprise-level analytics solution for organizations and individuals who have been used to developing their own data tools.
The next step is to investigate some of the obstacles and trade-offs that come with switching to an enterprise-level analytics system for companies and individuals that are used to creating their own data tools. These challenges and trade-offs include:
Why is data cleaning considered a crucial step in Big Data analytics?
2)Explain how the three properties of big data (volume, velocity, and diversity) apply to the data collected by Mercy and other healthcare organisations 3)What are the advantages of an enterprise data model for Mercy? Is it more or less critical for Mercy to have a properly articulated model that specifies the organization's data needs and priorities as it moves towards big data?
Discuss some of the trade-offs and challenges that organizations and individual end users who are used to working with their own proprietary data production tools will face when switching to an enterprise-level analytics system.
What are the main challenges in data preparation and preprocessing for big data analytics, and how can they be addressed?
Discuss the challenges associated with big data analysis and the potential benefits it offers to businesses. What are some advanced techniques for handling and extracting insights from large datasets?
What are the benefits that Mercy will get from using a data model across the board in their organisation? As a consequence of Mercy's trip through vast amounts of big data, having a well-articulated model that outlines the organization's data needs and objectives is more or less essential.