Data Analytics Investments 2020

Deep Data Dive: Towards Business Data Analytics Culture

Over the past decade, the business landscape has witnessed an explosion of data, giving rise to big data management, data science, and advanced analytics strategies. As modern technologies, such as Internet of Things, generate new and bigger waves of business data, companies from all industries are investing in data analytics to analyze massive raw datasets and extract actionable insights for faster and better business decision making.

Management Events interviewed over 900 top-level executives and key decision makers, including Chief Data Officers (CDOs), Chief Information Officer (CIOs) and other C-suites, from more than 650 leading organizations who attend our analytics, data science and business analytics events. Through personal interviews and surveys, we uncovered the top data analytics investments and technology priorities among business giants across the industries, including predictive analytics, analytics strategy, machine learning, and robotic process automation (RPA).

Shockingly, only a slight majority of the surveyed business leaders are prioritizing on big data analytics while a bulk of the top executives are focusing their attention on business-driven analytics strategy.

For more in-depth insights into rising data analytics strategies, trends and investments, download our free trend report, Deep Data Dive: Towards Business Data Analytics Culture. Be inspired by data analytics success stories and read up on fast-approaching analytics trends of the new digital decade that are propelling the growth of business intelligence.  

Here are the report key takeaways:

  • STRATEGIC ANALYTICS

96% of surveyed C-suites consider data analytics as a leading priority in their organization, setting an annual budget of up to €250,000 to invest in business intelligence.
  • DATA MANAGEMENT

With the increasing amount of data, 60% of C-suites are investing in data management solutions to improve productivity, optimize efficiency, and reduce data security risks.
  • DATA-DRIVEN OPPORTUNITIES

Big data analytics and predictive analytics are both a priority for business leaders. However, predictive analytics has a slightly bigger adoption rate than big data analytics.
  • AI-DRIVEN DATA

More than 55% of top executives are looking to a marriage of machine learning and robotic process automation (RPA) as a long-term strategy for agile and digital transformation.

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