Big Data Integration Challenges You should be Aware of

Business intelligence tools for identifying and collating data should be able to connect to various big data platforms. The ever-increasing number of data consumers can pose a challenge in big data integration.

Fremont, CA:  In today's world, businesses rely heavily on data and analytics. The rapid digital transformation caused by the pandemic has highlighted the importance of big data for business growth. Today, big data analytics is a core business solution that can drive growth, agility, competitive advantage and provide a 360-degree view of the organization. Businesses use big data analytics to gain actionable insights and improve the customer experience.

What Are the Challenges Involved?

Various Data Formats and Sources

Because big data is gathered from various sources, it may have a variety of formats and structures. It can be difficult to separate them from this complex stage. Data sets are extracted from a variety of applications and platforms, including marketing apps, CRM, and customer service teams, among others.

Connecting Data Platforms

Business intelligence tools for identifying and collating data should be able to connect to various big data platforms. The ever-increasing number of data consumers can pose a challenge in big data integration. The company will have to respond to the increasing demand and provide users with real-time data access, which will be difficult.

Data Processing Speed

The current business environment necessitates real-time data insights, which can make big data integration difficult. Because big data is extracted from disparate platforms, it takes time to process and gain insights. When working with complex data structures, it is impossible to analyze them all at once.