Customer Perceptions and Preferences of Big Data and Analytics, United States, 2018

Customer Perceptions and Preferences of Big Data and Analytics, United States, 2018

Learn Critical Success Factors to Gain a Competitive Advantage in a Disruptive Digital Industry

RELEASE DATE
17-Dec-2018
REGION
North America
Research Code: K342-01-00-00-00
SKU: IT03774-NA-CR_22633
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Description

The world is creating 2.5 exabytes of data daily. Every organization needs to access that tidal wave of information to make better, faster decisions—or risks being left behind. We have discovered that IT decision makers find that cyber security, big data and analytics, and data centers are the most impactful for revenue growth and cost reduction efforts when compared to a host of other IT and communications solutions.

BDA is a top 3 investment priority across all IT and Communications solutions.
·     Over 90% improved customer metrics with BDA implementations.
·     Over 75% reduced customer turnover with BDA installations
·     BDA is primarily used to improve internal business processes and to make better decisions.

Research Scope

We used the online survey method to interview 400 U.S. based big data and analytics purchase decision makers across business sizes. The overall research objective was to measure the current use and future decision making behavior toward Big Data & Analytics (BDA).

Frost & Sullivan aimed to:

  • Monitor the status and customer perceptions of Big Data & Analytics trends
  • Assess the current and future use of Big Data & Analytics
  • Evaluate factors that drive investments in Big Data & Analytics

This study also covers the impact of artificial intelligence and Internet of Things on BDA implementations.

Author: Alpa Shah


Table of Contents

Research Objectives and Methods

Research Objectives

Survey Methodology

Sample Composition

Company Profile

Strategic Imperatives for Success and Growth

Summary of Key Findings—Big Data and Analytics (BDA)

Current IT Budgets

Solving Data Security Issues and Privacy Issues is the Top Priority for IT Spending; Followed by BDA

Even When Thinking About Business Strategy, Solving Data Security and Privacy Issues is a High Priority

Almost Half the Respondents Found BDA to be More Important than Other Technologies

Budgets for Big Data

BDA Purchase Decisions Reach the C-Level Less Than 10% of the Time

Upward Trend in BDA Investment is Evident in 2018—Almost Half of Respondents Increased Spending

Software Gets the Biggest Chunk of BDA Budgets

BDA is Primarily Used to Improve Internal Business Processes and to Make Better Decisions

42% of Users Realized a Return on Investment Within 2 Years

87% of Users Saw an Increase in Sales with BDA Deployments

84% of Users Achieved Reduction in Costs with BDA Deployments

Over 90% Improved Customer Metrics

Over 75% Reduced Customer Turnover

More than Half of Users Deploy BDA to Improve Decision Making, Reduce Costs, and Improve Internal Business Processes

A Variety of Analytics Applications are Top BDA Priorities, Following Databases, Data Discovery, and Data Warehousing

Over Half of Respondents Show Interest in Acquiring a Total Solution

Focus of AI Implementations is Improving Efficiencies

Top Concerns are Data Quality, Privacy, Security and Compliance; Compatibility and Integration are also Issues

IT Decision Makers Obtain BDA Primarily from BDA Solution Providers

Microsoft is the Company of Choice when Selecting Database Organizations

Almost Half of Respondents Show Interest in Using SQL-on-Hadoo (or Everything)

Microsoft Leads with Polybase and Filestream

Apex Leads in Apache Software Foundation Technologies

BDA Will be More Broadly Used Within 5 Years

More than Half of Respondents have a Detailed Plan for Adding BDA Capabilities

Companies also have Decision Models to Prioritize How They Will Use BDA, Which Reflects a High Likelihood Of Investment in 2019

ROI is of Great Importance in any Digital Transformation Investment

Majority of Respondents Show Interest in AI, with 43% Planning Investments within the Next 5 Years

Most Companies Plan to Develop AI Capabilities In-house with Vendor APIS

Almost Half of Respondents have Deployed an IoT Network

Obtaining a Wealth of Data from Smart Products Tops the IoT Benefits List; also Important are Improving Customer Experience and Product Delivery

Among Those who Have Deployed IoT Networks, about Half Own their Data, while the Rest are Owned by External Providers

With Regard to IoT, Most Respondents are Concerned about Hackers

More than Half of Respondents are Incorporating Sensitive Information into their BDA Applications

The Majority of Respondents Depend on Internal Sources for Protecting Sensitive Information

Balancing Privacy and Protection is an Ongoing Battle

Organizational Best Practices is the Most Influential Approach to Influence Data Privacy

User IDs and Restricting Access on a Need-to-Know Basis are Used to Protect Customer/User Privacy

HIPAA and GDPR are the Most Alarming to Organizations

Organizations Want to Make Sure They are Compliant with the Digital Advertising Alliance

The Last Word—Three Big Predictions

Legal Disclaimer

List of Exhibits

List of Figures
  • 1. Customer Perceptions and Preferences of Big Data and Analytics: Sample Composition, United States, 2018
  • 2. Customer Perceptions and Preferences of Big Data and Analytics: Sample Composition, United States, 2018
  • 3. Customer Perceptions and Preferences of Big Data and Analytics: Sample Composition, United States, 2018
  • 4. Customer Perceptions and Preferences of Big Data and Analytics: Sample Composition, United States, 2018
  • 5. Customer Perceptions and Preferences of Big Data and Analytics: Customer Profile, United States, 2018
  • 6. Customer Perceptions and Preferences of Big Data and Analytics: Company Profile, United States, 2018
  • 7. Customer Perceptions and Preferences of Big Data and Analytics: Current IT Budgets, United States, 2018
  • 8. Customer Perceptions and Preferences of Big Data and Analytics: IT Spending Priorities, United States, 2018
  • 9. Customer Perceptions and Preferences of Big Data and Analytics: Business Strategy Priorities, United States, 2018
  • 10. Customer Perceptions and Preferences of Big Data and Analytics: Importance of Big Data and Analytics As Compared to Other Technologies, United States, 2018
  • 11. Customer Perceptions and Preferences of Big Data and Analytics: Budget for Big Data and Analytics, United States, 2018
  • 12. Customer Perceptions and Preferences of Big Data and Analytics: Key Purchase Decision Makers of Big Data & Analytics, United States, 2018
  • 13. Customer Perceptions and Preferences of Big Data and Analytics: Big Data & Analytics Spending Changes, United States, 2017 to 2018
  • 14. Customer Perceptions and Preferences of Big Data and Analytics: Big Data & Analytics Spending, United States, 2018
  • 15. Customer Perceptions and Preferences of Big Data and Analytics: Benefits of Big Data & Analytics Deployments, United States, 2018
  • 16. Customer Perceptions and Preferences of Big Data and Analytics: ROI on Big Data & Analytics Deployment, United States, 2018
  • 17. Customer Perceptions and Preferences of Big Data and Analytics: Impact of Big Data and Analytics Deployments on Sales, United States, 2018
  • 18. Customer Perceptions and Preferences of Big Data and Analytics: Impact of Big Data and Analytics Deployments on Cost Reduction, United States, 2018
  • 19. Customer Perceptions and Preferences of Big Data and Analytics: Impact of Big Data and Analytics Deployments on Customer Metrics, United States, 2018
  • 20. Customer Perceptions and Preferences of Big Data and Analytics: Impact of Big Data and Analytics Deployments on Customer Churn, United States, 2018
  • 21. Customer Perceptions and Preferences of Big Data and Analytics: Reasons for Big Data and Analytics Deployments, United States, 2018
  • 22. Customer Perceptions and Preferences of Big Data and Analytics: Big Data and Analytics Applications and Tools Organizations are Considering, Planning, Implementing, or Using, United States, 2018
  • 23. Customer Perceptions and Preferences of Big Data and Analytics: Level of Interest in an End-to-end Platform for Big Data and Analytics, United States, 2018
  • 24. Customer Perceptions and Preferences of Big Data and Analytics: Purposes or Benefits for Considering, Planning, Implementing, or Using Artificial Intelligence, Machine Learning, or Cognitive Computing, United States, 2018
  • 25. Customer Perceptions and Preferences of Big Data and Analytics: Issues Impacting the Use (or Lack of Use) of Big Data and Analytic Solutions, United States, 2018
  • 26. Customer Perceptions and Preferences of Big Data and Analytics: Big Data and Analytics Solution Providers, United States, 2018
  • 27. Customer Perceptions and Preferences of Big Data and Analytics: Type/Brand of Database (DB) Organizations are Considering, Planning, Implementing, or Using, United States, 2018
  • 28. Customer Perceptions and Preferences of Big Data and Analytics: Organizations Considering, Planning, Implementing, or Using a SQL-on-Hadoop or so-called "SQL-on-Everything" Solutions, United States, 2018
  • 29. Customer Perceptions and Preferences of Big Data and Analytics: SQL-on Hadoop or SQL-on-Everything Solutions Organizations are Considering, Planning, Implementing, or Using, United States, 2018
  • 30. Customer Perceptions and Preferences of Big Data and Analytics: Apache Software Foundation Technologies that Organizations are Considering, Planning, Implementing, or Using in Deploying Real-time Analytics, United States, 2018
  • 31. Customer Perceptions and Preferences of Big Data and Analytics: Perception of When BDA Applications will Become as Ubiquitous and Useful as PCs or the Internet, United States, 2018
  • 32. Customer Perceptions and Preferences of Big Data and Analytics: Percent of Organizations with a Detailed Plan for Adding Big Data and Analytics Capabilities, United States, 2018
  • 33. Customer Perceptions and Preferences of Big Data and Analytics: Percent of Organization With Decision Models to Identify and Prioritize Big Data and Analytics Use Cases, United States, 2018
  • 34. Customer Perceptions and Preferences of Big Data and Analytics, Percent of Organizations With Specific Metrics To Evaluate Big Data And Analytics Success, United States, 2018
  • 35. Customer Perceptions and Preferences of Big Data and Analytics: Plans for Investment in Artificial Intelligence Applications, United States, 2018
  • 36. Customer Perceptions and Preferences of Big Data and Analytics: Expected /Planned Sources for AI Capabilities, United States, 2018
  • 37. Customer Perceptions and Preferences of Big Data and Analytics: Percent of Organizations that Deployed an Internet of Things (IoT) Network, United States, 2018
  • 38. Customer Perceptions and Preferences of Big Data and Analytics, Expected IoT Benefits, United States, 2018
  • 39. Customer Perceptions and Preferences of Big Data and Analytics: Who Owns or Has Full, Unfettered Access to the Data Created by the IoT Network, United States, 2018
  • 40. Customer Perceptions and Preferences of Big Data and Analytics: Greatest Concerns Around IoT Data Security and Privacy, 2018
  • 41. Customer Perceptions and Preferences of Big Data and Analytics: Percent of Organizations that are Planning, Implementing or Using Sensitive Customer or Company Information in their BDA Applications, United States, 2018
  • 42. Customer Perceptions and Preferences of Big Data and Analytics: Consultants Utilized to Ensure that Sensitive Information is Appropriately Protected, United States, 2018
  • 43. Customer Perceptions and Preferences of Big Data and Analytics: Percent of Organizations that Believe Protecting Sensitive Information Limits the Usefulness of Big Data And Analytic Deployments, United States, 2018
  • 44. Customer Perceptions and Preferences of Big Data and Analytics: Approaches that Influence Data Privacy, United States, 2018
  • 45. Customer Perceptions and Preferences of Big Data and Analytics: Measures Organizations Use to Protect Customer/User Data Privacy, United States, 2018
  • 46. Customer Perceptions and Preferences of Big Data and Analytics: Entities or Regulations Organizations are Concerned About: United States, 2018
  • 47. Customer Perceptions and Preferences of Big Data and Analytics: Most Important Industry Self-regulation Measures for Compliance, United States, 2018
The world is creating 2.5 exabytes of data daily. Every organization needs to access that tidal wave of information to make better, faster decisions—or risks being left behind. We have discovered that IT decision makers find that cyber security, big data and analytics, and data centers are the most impactful for revenue growth and cost reduction efforts when compared to a host of other IT and communications solutions. BDA is a top 3 investment priority across all IT and Communications solutions. · Over 90% improved customer metrics with BDA implementations. · Over 75% reduced customer turnover with BDA installations · BDA is primarily used to improve internal business processes and to make better decisions.--BEGIN PROMO--

Research Scope

We used the online survey method to interview 400 U.S. based big data and analytics purchase decision makers across business sizes. The overall research objective was to measure the current use and future decision making behavior toward Big Data & Analytics (BDA).

Frost & Sullivan aimed to:

  • Monitor the status and customer perceptions of Big Data & Analytics trends
  • Assess the current and future use of Big Data & Analytics
  • Evaluate factors that drive investments in Big Data & Analytics

This study also covers the impact of artificial intelligence and Internet of Things on BDA implementations.

Author: Alpa Shah

More Information
No Index No
Podcast No
Table of Contents | Executive Summary~ || Research Objectives and Methods~ || Research Objectives~ || Survey Methodology~ || Sample Composition~ || Company Profile~ | Summary of Key Findings~ || Strategic Imperatives for Success and Growth~ || Summary of Key Findings—Big Data and Analytics (BDA)~ | Budget and Priorities~ || Current IT Budgets~ || Solving Data Security Issues and Privacy Issues is the Top Priority for IT Spending; Followed by BDA~ || Even When Thinking About Business Strategy, Solving Data Security and Privacy Issues is a High Priority~ || Almost Half the Respondents Found BDA to be More Important than Other Technologies~ || Budgets for Big Data~ || BDA Purchase Decisions Reach the C-Level Less Than 10% of the Time~ || Upward Trend in BDA Investment is Evident in 2018—Almost Half of Respondents Increased Spending~ || Software Gets the Biggest Chunk of BDA Budgets~ | Big Data & Analytics Usage, Planning & Implementation~ || BDA is Primarily Used to Improve Internal Business Processes and to Make Better Decisions~ || 42% of Users Realized a Return on Investment Within 2 Years~ || 87% of Users Saw an Increase in Sales with BDA Deployments~ || 84% of Users Achieved Reduction in Costs with BDA Deployments~ || Over 90% Improved Customer Metrics~ || Over 75% Reduced Customer Turnover~ || More than Half of Users Deploy BDA to Improve Decision Making, Reduce Costs, and Improve Internal Business Processes~ || A Variety of Analytics Applications are Top BDA Priorities, Following Databases, Data Discovery, and Data Warehousing~ || Over Half of Respondents Show Interest in Acquiring a Total Solution~ || Focus of AI Implementations is Improving Efficiencies~ || Top Concerns are Data Quality, Privacy, Security and Compliance; Compatibility and Integration are also Issues~ || IT Decision Makers Obtain BDA Primarily from BDA Solution Providers~ | Big Data Infrastructure Usage, Planning & Implementation~ || Microsoft is the Company of Choice when Selecting Database Organizations~ || Almost Half of Respondents Show Interest in Using SQL-on-Hadoo (or Everything)~ || Microsoft Leads with Polybase and Filestream~ || Apex Leads in Apache Software Foundation Technologies~ | Perceptions and Opinions about BDA~ || BDA Will be More Broadly Used Within 5 Years~ || More than Half of Respondents have a Detailed Plan for Adding BDA Capabilities~ || Companies also have Decision Models to Prioritize How They Will Use BDA, Which Reflects a High Likelihood Of Investment in 2019~ || ROI is of Great Importance in any Digital Transformation Investment~ | Artificial Intelligence and AI~ || Majority of Respondents Show Interest in AI, with 43% Planning Investments within the Next 5 Years~ || Most Companies Plan to Develop AI Capabilities In-house with Vendor APIS~ | Big Data and IoT~ || Almost Half of Respondents have Deployed an IoT Network~ || Obtaining a Wealth of Data from Smart Products Tops the IoT Benefits List; also Important are Improving Customer Experience and Product Delivery~ || Among Those who Have Deployed IoT Networks, about Half Own their Data, while the Rest are Owned by External Providers~ || With Regard to IoT, Most Respondents are Concerned about Hackers~ | BDA and Privacy~ || More than Half of Respondents are Incorporating Sensitive Information into their BDA Applications~ || The Majority of Respondents Depend on Internal Sources for Protecting Sensitive Information~ || Balancing Privacy and Protection is an Ongoing Battle~ || Organizational Best Practices is the Most Influential Approach to Influence Data Privacy~ || User IDs and Restricting Access on a Need-to-Know Basis are Used to Protect Customer/User Privacy~ || HIPAA and GDPR are the Most Alarming to Organizations~ || Organizations Want to Make Sure They are Compliant with the Digital Advertising Alliance~ | Digital Transformation—The Last Word~ || The Last Word—Three Big Predictions~ || Legal Disclaimer~ | Appendix~ || List of Exhibits~ | The Frost & Sullivan Story~
List of Charts and Figures 1. Customer Perceptions and Preferences of Big Data and Analytics: Sample Composition, United States, 2018~ 2. Customer Perceptions and Preferences of Big Data and Analytics: Sample Composition, United States, 2018~ 3. Customer Perceptions and Preferences of Big Data and Analytics: Sample Composition, United States, 2018~ 4. Customer Perceptions and Preferences of Big Data and Analytics: Sample Composition, United States, 2018~ 5. Customer Perceptions and Preferences of Big Data and Analytics: Customer Profile, United States, 2018~ 6. Customer Perceptions and Preferences of Big Data and Analytics: Company Profile, United States, 2018~ 7. Customer Perceptions and Preferences of Big Data and Analytics: Current IT Budgets, United States, 2018~ 8. Customer Perceptions and Preferences of Big Data and Analytics: IT Spending Priorities, United States, 2018~ 9. Customer Perceptions and Preferences of Big Data and Analytics: Business Strategy Priorities, United States, 2018~ 10. Customer Perceptions and Preferences of Big Data and Analytics: Importance of Big Data and Analytics As Compared to Other Technologies, United States, 2018~ 11. Customer Perceptions and Preferences of Big Data and Analytics: Budget for Big Data and Analytics, United States, 2018~ 12. Customer Perceptions and Preferences of Big Data and Analytics: Key Purchase Decision Makers of Big Data & Analytics, United States, 2018~ 13. Customer Perceptions and Preferences of Big Data and Analytics: Big Data & Analytics Spending Changes, United States, 2017 to 2018~ 14. Customer Perceptions and Preferences of Big Data and Analytics: Big Data & Analytics Spending, United States, 2018~ 15. Customer Perceptions and Preferences of Big Data and Analytics: Benefits of Big Data & Analytics Deployments, United States, 2018~ 16. Customer Perceptions and Preferences of Big Data and Analytics: ROI on Big Data & Analytics Deployment, United States, 2018~ 17. Customer Perceptions and Preferences of Big Data and Analytics: Impact of Big Data and Analytics Deployments on Sales, United States, 2018~ 18. Customer Perceptions and Preferences of Big Data and Analytics: Impact of Big Data and Analytics Deployments on Cost Reduction, United States, 2018~ 19. Customer Perceptions and Preferences of Big Data and Analytics: Impact of Big Data and Analytics Deployments on Customer Metrics, United States, 2018~ 20. Customer Perceptions and Preferences of Big Data and Analytics: Impact of Big Data and Analytics Deployments on Customer Churn, United States, 2018~ 21. Customer Perceptions and Preferences of Big Data and Analytics: Reasons for Big Data and Analytics Deployments, United States, 2018~ 22. Customer Perceptions and Preferences of Big Data and Analytics: Big Data and Analytics Applications and Tools Organizations are Considering, Planning, Implementing, or Using, United States, 2018~ 23. Customer Perceptions and Preferences of Big Data and Analytics: Level of Interest in an End-to-end Platform for Big Data and Analytics, United States, 2018~ 24. Customer Perceptions and Preferences of Big Data and Analytics: Purposes or Benefits for Considering, Planning, Implementing, or Using Artificial Intelligence, Machine Learning, or Cognitive Computing, United States, 2018~ 25. Customer Perceptions and Preferences of Big Data and Analytics: Issues Impacting the Use (or Lack of Use) of Big Data and Analytic Solutions, United States, 2018~ 26. Customer Perceptions and Preferences of Big Data and Analytics: Big Data and Analytics Solution Providers, United States, 2018~ 27. Customer Perceptions and Preferences of Big Data and Analytics: Type/Brand of Database (DB) Organizations are Considering, Planning, Implementing, or Using, United States, 2018~ 28. Customer Perceptions and Preferences of Big Data and Analytics: Organizations Considering, Planning, Implementing, or Using a SQL-on-Hadoop or so-called "SQL-on-Everything" Solutions, United States, 2018~ 29. Customer Perceptions and Preferences of Big Data and Analytics: SQL-on Hadoop or SQL-on-Everything Solutions Organizations are Considering, Planning, Implementing, or Using, United States, 2018~ 30. Customer Perceptions and Preferences of Big Data and Analytics: Apache Software Foundation Technologies that Organizations are Considering, Planning, Implementing, or Using in Deploying Real-time Analytics, United States, 2018~ 31. Customer Perceptions and Preferences of Big Data and Analytics: Perception of When BDA Applications will Become as Ubiquitous and Useful as PCs or the Internet, United States, 2018~ 32. Customer Perceptions and Preferences of Big Data and Analytics: Percent of Organizations with a Detailed Plan for Adding Big Data and Analytics Capabilities, United States, 2018~ 33. Customer Perceptions and Preferences of Big Data and Analytics: Percent of Organization With Decision Models to Identify and Prioritize Big Data and Analytics Use Cases, United States, 2018~ 34. Customer Perceptions and Preferences of Big Data and Analytics, Percent of Organizations With Specific Metrics To Evaluate Big Data And Analytics Success, United States, 2018~ 35. Customer Perceptions and Preferences of Big Data and Analytics: Plans for Investment in Artificial Intelligence Applications, United States, 2018~ 36. Customer Perceptions and Preferences of Big Data and Analytics: Expected /Planned Sources for AI Capabilities, United States, 2018~ 37. Customer Perceptions and Preferences of Big Data and Analytics: Percent of Organizations that Deployed an Internet of Things (IoT) Network, United States, 2018~ 38. Customer Perceptions and Preferences of Big Data and Analytics, Expected IoT Benefits, United States, 2018~ 39. Customer Perceptions and Preferences of Big Data and Analytics: Who Owns or Has Full, Unfettered Access to the Data Created by the IoT Network, United States, 2018~ 40. Customer Perceptions and Preferences of Big Data and Analytics: Greatest Concerns Around IoT Data Security and Privacy, 2018~ 41. Customer Perceptions and Preferences of Big Data and Analytics: Percent of Organizations that are Planning, Implementing or Using Sensitive Customer or Company Information in their BDA Applications, United States, 2018~ 42. Customer Perceptions and Preferences of Big Data and Analytics: Consultants Utilized to Ensure that Sensitive Information is Appropriately Protected, United States, 2018~ 43. Customer Perceptions and Preferences of Big Data and Analytics: Percent of Organizations that Believe Protecting Sensitive Information Limits the Usefulness of Big Data And Analytic Deployments, United States, 2018~ 44. Customer Perceptions and Preferences of Big Data and Analytics: Approaches that Influence Data Privacy, United States, 2018~ 45. Customer Perceptions and Preferences of Big Data and Analytics: Measures Organizations Use to Protect Customer/User Data Privacy, United States, 2018~ 46. Customer Perceptions and Preferences of Big Data and Analytics: Entities or Regulations Organizations are Concerned About: United States, 2018~ 47. Customer Perceptions and Preferences of Big Data and Analytics: Most Important Industry Self-regulation Measures for Compliance, United States, 2018~
Author Jannette Whippy
Industries Information Technology
WIP Number K342-01-00-00-00
Is Prebook No
GPS Codes 9705-C1,9A3A