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Businesses Tapping the Intelligence Out of Big Data
30-Dec-2018
Global
Technology Research
D899-01-00-00-00
IT03790-GL-TR_22758
Smart Data is generated by filtering out noise from Big Data generated from various sources such as media, business transactions, Internet of Things (IoT), process ,and data exhausts from online activity. Smart Data reduces the risk of data loss by adding value and increases efficiency and revenue. Unstructured data/Big Data can be turned into Smart Data using data analytics tools that utilizes advanced artificial intelligence (AI) and machine learning (ML) algorithms. Companies such as Datameer, Xcalar, Incorta, and Bottlenose among many other companies are focusing on developing end-to-end Smart Data analytics solutions that brings out valuable insights from Big Data.
In brief, this research service covers the following points:
Smart Data – An Overview
Smart Data Market Potential and Government Initiatives
Smart Data Technologies and Framework
Application Diversity and Use Cases
Analyst Viewpoints on Smart Data
1.1 Research Scope
1.2 Research Methodology
1.3 Research Methodology Explained
1.4 Key Findings
2.1 Smart Data: An Overview
2.2 Public Databases, Social Media, IoT Devices, Machine-to-Machine and Sensors are the Key Big Data Sources
2.3 Application of Analytics Combined with AI Capabilities to Big Data can Help Generate Smart Actionable Insights
2.4 Smart Data Could Enable Emerging Focused Business Models in Near Term
3.1 The Global Smart Data Market is Expected to Grow at a CAGR of 14.2% till 2022
4.1 Colorado State to Leverage Data more Effectively to Solve the State’s Key Problems Such as Opioid, Water Supply and Smart Cities
4.2 India’s National Data Analytical Platform Developed by NITI Aayog Analyzes the Data from Secondary Sources for Deeper Insights
4.3 Europe has already Taken Steps to Use Open Data and Public Sector Information (PSI) to drive the Digital Transformation
4.4 Dubai and Japan are Planning to Apply Data Science Capabilities to Open Data to Unlock new Opportunities and Improve Experiences
5.1 As the Volume of Data that Businesses Collect Continues to Increase, Adoption of Smart Data Technologies Help Bring Actionable Insights
5.2 Machine Learning Acts as a Key Technology in Turning Big Data to Smart Data and Also Helps Businesses to Unlock New Opportunities
5.3 Organizations are Embracing Various Business Intelligence Methods in Extracting Value from Unstructured Data
6.1 The Five Vs of Smart Data are Critical to the Data's Functionality
6.2 Smart Data Value to be Derived from the Other 4 Vs
6.3 Enterprises can Leverage Below Mentioned Building blocks to Develop Smart Data Framework for Driving Business Values
7.1 Smart Data can Derive Value Across the Industrial Sector and Functions
7.2 Smart Data Transformation Could Increase Productivity Across Sectors
7.3 Well Devised Smart Data Analytics Strategy to Deliver Significant Growth for Enterprises by Guiding Them to Make Smart Decisions
8.1 Companies are Focusing on Developing End-to-end Smart Data Analytics Solutions
8.2 IBM Smart Data Solution Enables Clients to Succeed
8.3 Enterprises are Leveraging End-to-end Smart Data Analytics to drive their Operational Efficiency and Sales
9.1 Analyst Insights
9.1 Analyst Insights (continued)
10.1 Key Contacts
10.1 Key Contacts (continued)
Legal Disclaimer
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| Deliverable Type | Technology Research |
|---|---|
| No Index | No |
| Podcast | No |
| Author | Naga Avinash Gunturu |
| Industries | Information Technology |
| WIP Number | D899-01-00-00-00 |
| Is Prebook | No |
Turning Big Data to Smart Data: Emerging Opportunities
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