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Your organization needs accurate data to operate efficiently, but cleansing data is a tenuous and technical task, leading to complexities in the data cleansing process that are hard to follow and often lacking visualization.

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ADSOTECH Logo (alone color).png

Challenges associated with ETL processes

  • Data Complexity: ETL processes involve dealing with data from various sources, each with its own format, structure, and schema. Transforming and harmonizing this diverse data into a consistent format can be complex.  

  • Data Quality Issues: ETL processes need to address data quality problems, such as missing values, duplicates, and inconsistencies, to ensure the reliability of insights.  

  • Manual Data Extraction and Entry: Manual data extraction and entry takes a significant amount of time, especially when dealing with large volumes of data.  

  • Manual Data Preparation: Manual data preparation during the transformation phase can lead to inefficiencies and errors.   

  • Inefficient Workflows: ETL workflows involve extracting data from source systems, applying transformations, and loading it into target systems. Inefficient workflows can result in slower data processing and analysis.  

  • Data Integration Challenges: Integrating data from disparate sources and systems while maintaining data integrity and consistency can be a significant challenge.  

  • Scalability and Performance: As data volumes increase, ETL processes must scale to handle larger datasets.   

The product - Data360 Analyze

Data360 Analyze is a robust and versatile data analysis platform. It's designed to complement data visualization tools by providing efficient data processing and advanced analytics. Unlike traditional methods that involve a lot of coding, Data360 Analyze offers a visual interface that speeds up data integration and analysis. This platform is not only great for combining data quickly but also excels in handling complex business processes through a user-friendly visual setup. 

Key Data360 Analyze Capabilities

  • Analyze multiple data sources: Quickly acquire and cleanse data from any source essential for the analysis.  

  • Add transparency to the ETL process: Provide traceability and reliability to increase the confidence of the underlying data.  

  • Analyze and discover schema-free: Rapidly add or change data sources in your analysis on the fly with our database less environment.  

  • Accelerate analytic development: Substantially reduce the time it takes to react to shifting requirements by removing the need for custom development and systems changes.  

  • Solve complex problems: Examine intricate business processes and perform complex statistical analysis in a single environment to uncover the insights your business needs.  

  • Publish directly: Publish directly to QVX and TDE file formats so the data and results can be quickly visualized in BI tools respectively.  

Let's get into more detail about Data360 Analyze. Contact us through the portal below!

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