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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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3 Key Features of Big Data Tools

CIOAdvisor Apac | Wednesday, January 06, 2021
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Tools that companies select should possess some features along with other needed ones to support organizational decision-making and business results.

FREMONT, CA: Data, in the modern business and technology world, is vital. Big Data technologies are rising to analyze this data for getting insights that can help in making strategic decisions. The concept emerged years ago, and every technology giant is making use of Big Data technologies today. Big Data refers to massive and voluminous data sets that may be structured or unstructured. This vast amount of data is generated every day by businesses and users. Data analytics is the process of evaluating the massive data sets to underline insights and patterns. Data scientists need these tools to make the process more efficient and rapid.

• Easy Result Formats

Top 10 Data Analytics Companies in APAC 2020Results are vital parts of the big data analytics model as they help in the decision-making process that is made to decide future strategy and objectives. Scientists prefer the outcomes to get the result in real-time so that they can make improved and appropriate decisions based on the analysis outcome. The tools can produce a result in such a way that it can offer insights into data analysis and decision-making platform. The platform should be able to offer real-time streams that can assist in making instant and rapid decisions.

• Raw data Processing

Data should be interpretable and digestible so that it can be leveraged in making decisions. Tools of big data analytics can import data from various data sources like Microsoft Access, text files, Microsoft Excel, and other files. Tools must be able to collect data from multiple data sources and in several formats. In this way require for data conversion will be mitigated, and overall process speed will be enhanced. Even the export quality and potential to visualize data sets and managing various formats like PDFs, Excel, or Word files can be utilized directly to gather and transfer the data.

• Identity Management

Identity management is also a needed and vital feature for any data analytics tool. The tool should be able to access any system and all information that may be connected to the computer hardware, software. Here, the identity management system is related to handling all issues related to identity, data security, and access so that it can help system, network passwords, and protocols. Identity management applications and systems ensure that only authenticated users can access the system information, and the tool can organize a security plan and include fraud analytics and real-time security.

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