Gartner: top 10 data and analytics technology trends for 2019

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The story of data and analytics is one that keeps evolving; from appointing chief data officers to procuring the latest analytics software, business leaders are desperately trying to utilise it, but it's not easy. "The size, complexity, distributed nature of data, speed of action and the continuous intelligence required by digital business means that rigid and centralised architectures and tools break down," says Donald Feinberg, vice president and distinguished research analyst at Gartner. "The continued survival of any business will depend upon an agile, data-centric architecture that responds to the constant rate of change. But while business leaders have to tackle digital disruption by looking for the right services and technology to help streamline their data processes, unprecedented opportunities have also arisen. The sheer amount of data, combined with the increase of strong processing capabilities enabled by cloud technologies, means it's now possible to train and execute algorithms at the large scale necessary to finally realise the full potential of AI. According to Gartner, it's critical to gain a deeper understanding of the following top 10 technology trends fuelling that evolving story and prioritise them based on business value to stay ahead. Gartner says by 2020, augmented analytics will be the main selling point for analytics and BI solutions. Using machine learning and AI, augmented analytics is considered, by Gartner, as a disrupter in the data and analytics market because it will transform how analytics content in developed, consumed and shared. Augmented data management utilises machine learning capabilities and AI technology to make data management categories including data quality, master data management, metadata management, data integration as well as database management systems (DBMSs) self-configuring and self-tuning. According to Gartner, this is a big deal because it automates many of the manual tasks opening up opportunities for less technically skilled users to use data. It also helps highly skilled technical resources to focus on more value-adding tasks. Through to the end of 2022, manual tasks in data management will be cut by 45% thanks to ML and automated service-level management. Continues data is more than a new way to say real-time data. Instead, it's about a design pattern where real-time analytics are combined with business operations, processing current and historical data to prescribe actions in response to events. "Continuous intelligence represents a significant change in the job of the data and analytics team," says Rita Sallam, research vice president at Gartner. "It's a grand challenge -- and a grand opportunity -- for analytics and BI (business intelligence) teams to help businesses make smarter real-time decisions in 2019.


10 ways data and analytics will impact businesses

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Augmented analytics and artificial intelligence (AI) are among the top data and analytics technology trends that have the potential to significantly change business operations in the next three to five years, according to a presentation at the Gartner Data and Analytics Summit in Sydney this week. Data and analytics leaders must examine the potential business impact of these technology trends, and adjust business models accordingly--or risk losing competitive advantage to companies that do, Rita Sallam, research vice president at Gartner, said at the event and in a press release. "The story of data and analytics keeps evolving, from supporting internal decision making to continuous intelligence, information products and appointing chief data officers," Sallam said in the release. "It's critical to gain a deeper understanding of the technology trends fueling that evolving story and prioritize them based on business value." With digital transformation efforts underway at most organizations, businesses are collecting more data than ever before, creating challenges but also major opportunities, Donald Feinberg, vice president and distinguished analyst at Gartner, said in the release.


10 ways data and analytics will impact businesses

#artificialintelligence

Augmented analytics and artificial intelligence (AI) are among the top data and analytics technology trends that have the potential to significantly change business operations in the next three to five years, according to a presentation at the Gartner Data and Analytics Summit in Sydney this week. Data and analytics leaders must examine the potential business impact of these technology trends, and adjust business models accordingly--or risk losing competitive advantage to companies that do, Rita Sallam, research vice president at Gartner, said at the event and in a press release. "The story of data and analytics keeps evolving, from supporting internal decision making to continuous intelligence, information products and appointing chief data officers," Sallam said in the release. "It's critical to gain a deeper understanding of the technology trends fueling that evolving story and prioritize them based on business value." With digital transformation efforts underway at most organizations, businesses are collecting more data than ever before, creating challenges but also major opportunities, Donald Feinberg, vice president and distinguished analyst at Gartner, said in the release.


Gartner Top 10 Data and Analytics Trends

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Traditionally, banks targeted older customers for wealth management services, assuming that this age group would be the most interested. Using augmented analytics, banks found that younger clients (aged 20 to 35) are actually more likely to transition into wealth management -- a clear example of how relying on business users to find patterns, and on data scientists to build models manually, may result in bias and incorrect conclusions. Augmented analytics is just one of the top 10 technologies Gartner has identified with the potential to address these and other major data and analytics challenges in the next three to five years. Digital transformation has put data at the center of every organization. Businesses are awash with data.


Adaptability to Change Critical to Surviving Data Tsunami

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As data continues to pile up, enterprises that maintain flexible approaches to managing and mining that data are the ones most likely to achieve competitive success, according to Gartner, which recently released its top 10 analytics technologies and trends for 2019. The Global Datashere currently measures 33 zettabytes, according to a recent IDC report, and is predicted to grow to 175 zettabytes by 2025. Navigating this data deluge is no simple matter, as the volume and velocity exceeds the capabilities of existing data analytics rigs running atop legacy architectures. "The size, complexity, distributed nature of data, speed of action, and the continuous intelligence required by digital business means that rigid and centralized architectures and tools break down," explains Donald Feinberg, vice president and distinguished analyst at Gartner. "The continued survival of any business will depend upon an agile, data-centric architecture that responds to the constant rate of change."