Unleashing Insights with Data: Expert Data & Analytics Solutions

Enhance your data assets. Make faster and more informed judgments. Save money by working more efficiently.

Data Analytics AI

Data Analytics AI

Data Analytics AI is a service that uses advanced data analysis, predictive modeling, and machine learning techniques to extract insights from large and complex data sets. It can help businesses make better decisions, improve operational efficiency, and gain a competitive edge. With Data Analytics AI, businesses can turn raw data into actionable information, allowing them to identify patterns, trends and anomalies that would otherwise be difficult to detect. This service can be applied to a wide range of industries and use cases, such as customer behavior analysis, fraud detection, and predictive maintenance. The service can be customized to the specific needs of a business and can be integrated with other systems such as CRM, ERP, and more. Data Analytics AI can help business leaders to better understand customer behavior and preferences, optimize pricing, and improve operational efficiency. It also can be used to identify new business opportunities and improve customer engagement by providing personalized customer experiences. With Data Analytics AI, businesses can gain a deeper understanding of their customers, increase sales and revenue, and create a more efficient and cost-effective operation.

Data Migration

One of the keys to getting all of the great benefits out of a Salesforce integration is properly preparing your data for the integration. And, unfortunately, you can’t just point various applications or APIs to your Salesforce environment and call it a day. Collecting data from multiple sources can be messy. Raw data is what you need to be working with and raw data is … well, raw. It needs to be prepared before it can provide any insights into your business operations.

There are three steps to getting data ready for a Salesforce integration.

  • Sourcing
  • Integrating
  • Transforming and cleaning (formatting)

Once your data is properly prepared for the migration, we will need to define what data, on what frequency, will come in or out. This is where writing code or using an ETL tool to stand between the two systems is necessary.

Collecting, preparing and migrating data is time consuming and risky which is why it’s so important to have an integration partner who can properly prepare and migrate your data for your Salesforce integration

Data Integration Service

Integration Services

  • Integration using middleware like boomi, mulesoft etc
  • API based integration using SOAP and REST
  • Integration framework for faster delivery

Data Services

  • Convert existing data into Salesforce format and consolidate data in Salesforce
  • Comprehensive data migration solutions from on-premise to SFDC, SFDC to SFDC, CSV files to SFDC


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