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Editor's Pick (1 - 4 of 8)
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Turning Big Data into Big Money

Shawn Paskevic, CIO, NEBCO

The Inherent necessity of Big Data as a defining strategic factor

Esteban Remecz, CIO Asia Pacific, ZF Group

Get Ready for an IT Renaissance: Brought to You by Big Data Analytics

Clark Golestani, EVP and CIO, Merck

Promise of Data Analytics

John Kochavatr, CIO & Digital Leader, GE Water & Process Technologies

Data Analytics: New Edge for Success

Colin Boyd, VP & CIO, Joy Global [NYSE:JOY]

How big data analytics guided our decision-making through a year like no other

Michael Coatsworth, Principal Architect, Foodstuffs North Island

Advanced Analytics in Tokopedia

Krishna Dermawan, Head of Data Analyst, Tokopedia

The Pursuit of a Culture That Is Driven By Data

Mike Congdon, Head of Business Insights, OfficeMax New Zealand

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How business intelligence will modernize the business world

CIOAdvisor Apac | Thursday, January 10, 2019
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Businesses today are turning to advanced software solutions to decrease workloads, mitigate risks, increase profitability, and ensure competitiveness. Initially, business intelligence collects and analyzes data and applies predictive analytics to businesses. It aims to identify the weak points of the organizations and address them. Following are some of the trends that will affect business initiatives for organizations in the year 2019:

Data quality management: Data quality management (DQM) is used to adopted by the companies for the sake of their initial investment. DQM incorporates role establishment, deployment, policies, responsibilities, and processes. Companies improve business intelligence and take advantage of the competition by implementing data quality processes.

BI and Analytics Companies: Lotus Analytics, VortexT Analytics, WayPoint Analytics

Artificial intelligence: The Business world is remarkably benefitted by using artificial intelligence (AI). AI has the potential is using data points, behavior and engagement trends to provide relevant content and distribution for the businesses. AI and machine learning help marketers to know about their customers’ involvement with the products and serve contents according to the demands. AI analyzes things as demographics, geographic, time, and seasons algorithmically.

Predictive analytics tools: Predictive analytics tools evaluate future data and predict the possible errors from its definition. The tools examine data and regulate the next steps. Also, try to visualize the decisions and drive decision-making and fulfill the outcomes of the businesses. 

Natural language process: Business intelligence vendors adopt natural language interface (NLP) for visualizations. NLP supports analytical conservation, which helps computers to understand the meaning of human language. NLP fetches users’ intent through conservation or query and creates more natural and conversational experiences. NLP can break down the barriers of analytic adoption and helps transform workplaces with data-driven, self-service operations.

Mobile business intelligence: Now vendors are more able to understand the mobile experience. Mobile business intelligence will redefine the whole delivery interface in the coming future.

Cloud data migration: Companies are adapting to the benefits of moving their data to the cloud. Storage on the cloud allows companies to capture and integrate different types of data. Cloud data migration imports data gravity, where services and applications are pulled in the direction of where the data resides.

Advanced technologies with business intelligence are changing the way people used to accomplish their businesses earlier. 

See Also: Enterprise Technology Review

 

 

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