Industry executives and experts share their predictions for 2020. Read them in this 12th annual VMblog.com series exclusive.
By
Dr Yu Xu, CEO, TigerGraph
Five Forward Looking Thoughts on Data Analytics
The phrase "2020 vision" implies that someone is able to see
clearly. In this article I examine five technologies that have the potential to
have a profound impact on business leaders' ability to see the future clearly
and make better-informed decisions in 2020.
Automation of Data Analysis
Industry analyst firm Gartner predicts that 40% of data science tasks
will be fully automated by 2020. This automation will help business leaders to
efficiently plan ahead and use the appropriate analytics to make favorable
business decisions. This will be good news for data scientists and analysts who
will be freed up from mundane tasks and more able to focus on higher-value
activities.
Better Data Lineage
The California
Consumer Privacy Act of 2018 (CCPA) goes into effect on the first day of
2020. In combination with the General Data Protection Regulation (GDPR), this
will further motivate organizations to handle consumers' personal information
more mindfully. Data lineage is the ability to trace information back to its
source and enhance compliance with CCPA, in addition to making better and more
informed decisions.
Conversational Queries
Gartner also forecasts that as much as 50% of
analytical queries will be generated automatically using voice technology and
augmented by Natural Language Processing (NLP). This development will allow any
employee in a company the opportunity to analyze complex data combinations by
utilizing user-friendly, widely adopted analytics platforms.
Data Analytics on IoT
Before the end of 2020, we can expect
to have over 20 billion devices on the Internet of Things (IoT) collecting
data. Organizations worldwide which depend heavily on these devices, such as
utilities and telecoms, business leaders are leveraging assistive technologies
to enable more responsive and real-time data analytics.
Graph Analytics
Last, but definitely not least, I believe graph will become
mainstream in 2020. Gartner estimates that the application of graph
processing and graph databases will grow at 100% annually and be embraced by
businesses wanting to accelerate data preparation and enable more complex and
adaptive data science.
Smarter
business leaders are going to embrace these technologies in 2020, if they
haven't already done so, and, be empowered by a more crystal clear vision of
the future, accelerating away from their competition in the pursuit of
revenues.
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About the Author
Dr. Yu Xu is the founder
and CEO of TigerGraph, the world's first native parallel graph database. Dr. Xu
received his Ph.D in Computer Science and Engineering from the University of
California San Diego. He is an expert in big data and parallel database systems
and has 26 patents in parallel data management and optimization. Prior to
founding TigerGraph, Dr. Xu worked on Twitter's data infrastructure for massive
data analytics. Before that, he worked as Teradata's Hadoop architect
where he led the company's big data initiatives.