As companies and individuals continue to embrace big data and data analytics, and as advanced analytics services become more commonplace, new tools and trends are emerging. Many of these new innovations involve machine learning, which also has the potential to improve existing data technologies and analytics services.
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Machine learning and other trends are expected to revolutionize the industry in the near future. Global analytics and advisory firm Quantzig has announced their top data trends that will shape the field of data analytics in 2017.
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Top data technology trends for 2017
1. Automation: Task automation will increase as data analysis becomes more sophisticated and creative. Automation will allow employees to focus on more complex work that cannot be carried out by a computer, and will reduce overall production and operation times.
2. Prescriptive analytics: Prescriptive analytics recommends the best course of action based on many different factors and objects rather than just estimating how something will perform. Prescriptive analytics goes beyond the realm of predictive analytics and is more cost-effective and efficient.
3. Stronger data security: Security will undergo new innovations as the Internet of Things and big data continue to evolve and their potential security threats and issues are realized. Organizations are now analyzing, collecting, and transferring more data than ever before, necessitating stronger, more flexible security.
View the entire list of Quantzig’s Top 6 data trends for 2017
For more information on Quantzig’s services and solutions, or information on recent successful projects helping Fortune 500 clients, please contact us.
Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. For more than 12 years, we have assisted our clients across the globe with end-to-end data modeling capabilities to leverage analytics for prudent decision making. Today, our firm consists of about 120+ clients, including 45 Fortune 500 companies.