Informatica Intelligent Cloud Services
Informatica Intelligent Cloud Services or better known as IICS is an umbrella term to refer to products that are based in cloud-based that are created by InformaticaCorp. It offers the possibility of data accumulation, processing, storage, access, and security, in addition to API management. It is designed to offer enhanced ad integrated information handling and operations for else disparate cloud environments or hybrid systems. In a similar manner that it supports data integration and provides custom workflow for easy designing, setting up and even monitoring the disseminated data integration processes, it also supports data from multiple sources and formats.
Use Case:
One of the widely utilized client applications of IICS is the integration of customer data. Thus there exists the problem within organizations that data is dispersed across multiple platforms including customer relationship management, enterprise resource planning and marketing automation systems, among others. It can help IICS to integrate it to a single view of the customer so as to enhance the effectiveness of customer information and the marketing activities that are likely to be deployed.
Case Study:
An international insurance company decided to perform an integration of customer information collected in various systems to enhance the company’s relationship and more specifically its marketing with customers through the utilization of IICS. The company employed isolated data repositories in the CRM, its policy management system, and the marketing tools it used; this made it nearly impossible to learn more about its customers holistically. This way, they were able to establish data conversion processes’ pipelines that involved extracting data from these systems, followed by cleansing and integrating the customer data into the organization’s central data repositories through IICS. They also explain how this consolidated view of the customer helped the company to deliver customised value, to find opportunities for secondary sales and goods, and ultimately to increase customer perception of value. In addition, it promoted data quality and compliance with data privacy rules in the medical information domain thanks to IICS implementation.
Top Data Ingestion Tools for 2024
To capture data for utilising the informational value in today’s environment, the ingestion of data is of high importance to organisations. Data ingestion tools are especially helpful in this process and are responsible for transferring data from origin to storage and/or processing environments. As enterprises deliver more diverse data, the importance of the right ingestion tools becomes even more pronounced.
This guide focuses on the top data ingestion tools 2024 detailing the features, components, and fit for organization applications to help organizations make the right choice for their data architecture plan.
Table of Content
- Apache NiFi
- Apache Kafka
- AWS Glue
- Google Cloud Dataflow
- Microsoft Azure Data Factory
- StreamSets Data Collector
- Talend Data Integration
- Informatica Intelligent Cloud Services
- Matillion ETL
- Snowflake Data Cloud
- MongoDB Atlas Data Lake
- Talend Data Integration
- Azure Synapse Analytics
- IBM DataStage
- Alteryx