Current Trends in It
Disclaimer: All the data that has been posted here has been collected from various websites quoting industry experts! I have just collected the data that I thought is interesting and posted here
1. Analytics
Organizations will invest in people, tools, and skills to improve business performance through broader use of Big Data, predictive analytics, and data discovery in 2013.
New research reveals that interest in optimizing the use of Big Data, Predictive Analytics and Data Discovery will help drive increased global analytic and business intelligence (BI) software and staffing investments in 2013. The new survey details the challenges and goals that are driving analytics professionals to adopt new tools and techniques to manage the ever-increasing amount of data needed to make critical business decisions every day.
In the survey conducted by Lavastorm Analytics, a leading global analytics software company, more than 600 business analysts, technologists, data analytics professionals, managers and C-level professionals were polled across a broad variety of industries – including finance, telecom, healthcare and computer software – regarding their analytic initiatives and predictions for 2013. Three-quarters of the respondents (75 percent) indicated that they still routinely use Excel for self-service analytics processes along with at least three other tools. R language was the second most used tool, with 35 percent of respondents indicating they use it. Of the remaining 24 self-service analytics tools, 17 of them were used by less than ten percent of the audience, showing the diversity of tools that people use to derive value from their data and optimize business performance.
The survey results, however, also show that nearly 60 percent of respondents plan to increase their analytic investments this year across a number of areas and tools, indicating that current toolsets are perhaps not meeting the top three challenges of conducting complex analytics.
1. Analytics
Organizations will invest in people, tools, and skills to improve business performance through broader use of Big Data, predictive analytics, and data discovery in 2013.
New research reveals that interest in optimizing the use of Big Data, Predictive Analytics and Data Discovery will help drive increased global analytic and business intelligence (BI) software and staffing investments in 2013. The new survey details the challenges and goals that are driving analytics professionals to adopt new tools and techniques to manage the ever-increasing amount of data needed to make critical business decisions every day.
In the survey conducted by Lavastorm Analytics, a leading global analytics software company, more than 600 business analysts, technologists, data analytics professionals, managers and C-level professionals were polled across a broad variety of industries – including finance, telecom, healthcare and computer software – regarding their analytic initiatives and predictions for 2013. Three-quarters of the respondents (75 percent) indicated that they still routinely use Excel for self-service analytics processes along with at least three other tools. R language was the second most used tool, with 35 percent of respondents indicating they use it. Of the remaining 24 self-service analytics tools, 17 of them were used by less than ten percent of the audience, showing the diversity of tools that people use to derive value from their data and optimize business performance.
The survey results, however, also show that nearly 60 percent of respondents plan to increase their analytic investments this year across a number of areas and tools, indicating that current toolsets are perhaps not meeting the top three challenges of conducting complex analytics.