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Top Data
Analytics
Trends for 2019
For decades, businesses have relied on data analysis to study
trends and discover market insights. However, with the huge
influx of data today, this manual process has been replaced
with sophisticated technology.
Having access to so much data presents a targeted way of
finding patterns, customer preferences, user behavior, and
other crucial information that can help organizations make
informed decisions.
This presentation will discuss the industry sectors
and trends that will witness major growth in
applications of big data analytics.
Healthcare
Data analytics helps improve healthcare in various
ways. Huge volumes of public health data allow for a
comprehensive study of the population’s medical
history.
Healthcare
Data analytics helps improve healthcare in various
ways. Huge volumes of public health data allow for a
comprehensive study of the population’s medical
history.
Retail Trade & Marketing
Identifying consumer preferences is the core aspect
of retail. If a business fails at it, there is no way they
can survive in the long run.
Retail Trade & Marketing
By using analytics, businesses can gather insights
about consumer preferences, adjust pricing, tailor
products accordingly, and engage in target-based
marketing to attract and retain customers.
Banking and Finance
Banking and Finance are not typically tech-savvy sectors but
they are increasingly turning to data analytics to improve
their services.
In fact, a study points out that in India, Finance and Banking
are the largest sectors that utilize analytics followed by
marketing and advertising
Banking and Finance
Besides, having information about customers’ usage
patterns can help in identifying banking frauds,
customizing offers and more.
Transport
Big data analytics is increasingly being used to
improve transportation through better route
planning and traffic management.
Transport
Public Transportation departments rely on it to
improve operations and detect equipment failure. At
present, the Indian railways utilize analytics to
predict ticket confirmation and booking status to
keep its passengers informed.
Predictive Analytics
Predictive analytics (commonly used by
Google/Gmail to generate user responses) and
Internet of Things (IoT) will continue to be among the
major trends in 2019.
Predictive Analytics
Moreover, Predictive analytics integrate technology
with various domains and its implementation could
improve public safety in terms of detecting and
preventing crime.
Internet of Things (IoT)
Driverless cars, wearable technology and home
automation- IoT will continue to grow and so will the
number of connected devices.
Internet of Things (IoT)
This only means that organizations will rely on data
analytics more than ever to achieve detailed business
insights. The early adopters of IoT are well on their
way towards experimenting with the technology.
Cloud Solutions
Big and small organisations have already begun
migrating and it won’t be long before even the most
vital data activities move to cloud. Low storage and
maintenance costs, on-demand capacity, and
effective tools will continue to attract businesses to
cloud.
Artificial Intelligence
Although many companies switched to AI and
machine learning for data-driven decisions in 2018,
the credibility of these decisions could not be
ascertained as these applications did not offer the
logic they were based on.
Artificial Intelligence
However, as AI continues to be accepted widely,
more transparency about these AI algorithms and
implementation will be demanded by the users.
Data is available in all forms and formats today. The
ability to use it effectively will be the key
determinants of success.
A pioneer is custom and large-scale web data extraction.
www.promptcloud.com | sales@promptcloud.com

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Top Data Analytics Trends for 2019

  • 2. For decades, businesses have relied on data analysis to study trends and discover market insights. However, with the huge influx of data today, this manual process has been replaced with sophisticated technology.
  • 3. Having access to so much data presents a targeted way of finding patterns, customer preferences, user behavior, and other crucial information that can help organizations make informed decisions.
  • 4. This presentation will discuss the industry sectors and trends that will witness major growth in applications of big data analytics.
  • 5. Healthcare Data analytics helps improve healthcare in various ways. Huge volumes of public health data allow for a comprehensive study of the population’s medical history.
  • 6. Healthcare Data analytics helps improve healthcare in various ways. Huge volumes of public health data allow for a comprehensive study of the population’s medical history.
  • 7. Retail Trade & Marketing Identifying consumer preferences is the core aspect of retail. If a business fails at it, there is no way they can survive in the long run.
  • 8. Retail Trade & Marketing By using analytics, businesses can gather insights about consumer preferences, adjust pricing, tailor products accordingly, and engage in target-based marketing to attract and retain customers.
  • 9. Banking and Finance Banking and Finance are not typically tech-savvy sectors but they are increasingly turning to data analytics to improve their services. In fact, a study points out that in India, Finance and Banking are the largest sectors that utilize analytics followed by marketing and advertising
  • 10. Banking and Finance Besides, having information about customers’ usage patterns can help in identifying banking frauds, customizing offers and more.
  • 11. Transport Big data analytics is increasingly being used to improve transportation through better route planning and traffic management.
  • 12. Transport Public Transportation departments rely on it to improve operations and detect equipment failure. At present, the Indian railways utilize analytics to predict ticket confirmation and booking status to keep its passengers informed.
  • 13. Predictive Analytics Predictive analytics (commonly used by Google/Gmail to generate user responses) and Internet of Things (IoT) will continue to be among the major trends in 2019.
  • 14. Predictive Analytics Moreover, Predictive analytics integrate technology with various domains and its implementation could improve public safety in terms of detecting and preventing crime.
  • 15. Internet of Things (IoT) Driverless cars, wearable technology and home automation- IoT will continue to grow and so will the number of connected devices.
  • 16. Internet of Things (IoT) This only means that organizations will rely on data analytics more than ever to achieve detailed business insights. The early adopters of IoT are well on their way towards experimenting with the technology.
  • 17. Cloud Solutions Big and small organisations have already begun migrating and it won’t be long before even the most vital data activities move to cloud. Low storage and maintenance costs, on-demand capacity, and effective tools will continue to attract businesses to cloud.
  • 18. Artificial Intelligence Although many companies switched to AI and machine learning for data-driven decisions in 2018, the credibility of these decisions could not be ascertained as these applications did not offer the logic they were based on.
  • 19. Artificial Intelligence However, as AI continues to be accepted widely, more transparency about these AI algorithms and implementation will be demanded by the users.
  • 20. Data is available in all forms and formats today. The ability to use it effectively will be the key determinants of success.
  • 21. A pioneer is custom and large-scale web data extraction. www.promptcloud.com | sales@promptcloud.com