Datameer Introduces Native Data Preparation
Effective analytics solutions will enable organizations to better organize their datasets and draw more valuable insights to drive their strategies.
FREMONT, CA: Data analytics has emerged as one of the vital factors deciding the productivity of an organization in the digital landscape. Datameer is one of the global data solution providers striving to make the data-driven journey easier for organizations. The premier data preparation and analytics solutions provider recently launched a native support platform for the biggest SQL cloud data warehouses, including Amazon Redshift, Azure SQL Data Warehouse, Google BigQuery, and Snowflake.
Datameer empowers enterprises to explore and analyze the data in the cloud and on-premises big data infrastructure. Its solutions are designed to integrate, study, and deploy data for analytics operations. The company's platform enables organizations to break down their data silos and draw valuable insights. Datameer's clients include Citibank, Royal Bank of Canada, Aetna, Optum, National Instruments, Vivint, and many more.
Datameer Enterprise, the flagship product of the company, has simplified the process of transforming raw data into secure datasets and fueling the analytics initiatives, including business intelligence reporting, machine learning (ML), artificial intelligence (AI), and deep learning campaigns. Its newest platform will introduce native data preparation to Redshift, Azure, BigQuery, and Snowflake.
Although organizations possess the adequate technology to generate and collect data, they often lack the capability of analyzing the vast troves of information. Over 73 percent of the data available in organizations is never analyzed, mostly because most of the information is unstructured. To deal with this challenge, more and more data engineers are leveraging the capabilities offered by Datameer.
The Datameer platform enables organizations to manipulate their unstructured information, including streaming data, digital media, and JSON files, and turn it into secure data sets which can be easily analyzed at any scale. On-Premise and cloud data can be managed without the need for coding. It enables them to merge the disparate datasets before utilizing them in business intelligence tools such as Tableau and Looker, or leveraging them for the development of AI models.
Organizations can reduce the utilization of multiple tools for data preparation and analysis by leveraging the Datameer platform. It offers greater agility, accelerated innovation, and streamlined collaboration for various industries. Several fintech industries leveraging AI insights seek the capabilities of Datameer to optimize their collection process and enhance their collection rates. It has enabled organizations to reduce their processing time and achieve better outcomes.
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