Our consultants deploy Informatica products, Cloud Data Integration, MDM, Data Security, Cloud Applications and Databases.
Always driven by your business KPIs.
Intelligent Data Management Cloud (IDMC)
Improve and simplify your data management in the Cloud with our comprehensive and easy-to-use capabilities and designers. Increase productivity with intuitive wizards, preconfigured solution templates, mass ingestion, and out-of-the-box mappings. Seamlessly integrate high data volumes across multi-cloud and on-premises environments. Informatica Cloud Data Integration is tailored for cloud data warehouses like Amazon Redshift, Microsoft Azure SQL Data Warehouse, Google BigQuery, or Snowflake.
- Cloud 360 Applications, Customer 360, Finance 360, Product 360, Supplier 360 and Reference 360
- Cloud Data Governance, Catalog, Data Lineage and Data Privacy
- Cloud Data Integration (CDI)
- Cloud Application Integration (CAI)
- API management
- Cloud Data Quality (CDQ)
- Cloud Integration Hub (CIH)
- Cloud Mass Ingestion (CMI)
- Intelligent Structure Discovery
- Cloud Data Integration Elastic
Cloud {Application & Databases}
We are a Cloud-born organization. Complementary, our directors have a long history of on-prem implementations that positions us uniquely to assist in your Cloud Journey. We’ve been there and done it many times, so we create analogies to on prem that will help you to quickly understand it. We have expertise in several cloud implementations, Salesforce Application and Data Integration, AWS Redshift and RDS’s, Azure ADLS, Databricks and SQL DW, Cosmos DB and also the well-positioned cloud-agnostic Snowflake.
- Salesforce Integration
- Snowflake Implementation and Authorized Reseller
- NoSQL products implementation
Data Analytics
Explore and visualize your data to extract powerful insights that you can share with your entire organization. Track KPIs in real-time to avoid surprises and delays. Implement your Data Analytics from the descriptive and diagnostic through to predictive and prescriptive stages.
- PowerBI
- Tableau
- Streamlit
- Looker
Artificial Intelligence (AI) and Machine Learning (ML)
Add value to your business intelligence by enhancing your datasets. With AI and ML you can train your data to predict and prescribe actions based on statistical models.
- Sagemaker
- Scikit-learn
- Tensorflow
- XGBoost
Data Integration, B2B and MFT
We thrive on building data-driven solutions based on Informatica products to accelerate implementation, technology adoption and time to market. With our extensive experience on Data Integration Technologies within your firewall and beyond, we support your cloud implementation strategy in on-prem, hybrid or multi-cloud environments.
- PowerCenter
- Advanced Data Transformation
- B2B Data Exchange
- Data Integration Hub
- PowerExchange Legacy & Mainframe
Data Quality & Governance
Looking at data as an asset as it should be, we have best practices to guide you throughout your implementation. We execute data profiling, data quality rules, dictionaries to manage values lists, cleansing, standardization, parsing, verification and deduplication / consolidation processes. Coupled with data integration and data quality analytics.
• Axon
• Data Quality & Contact Data Verification
Metadata Data Management
Metadata is the secret sauce of next-generation data integration, quality and governance. Working with AI/ML, we bring extensive experience with best of breed technologies, helping you manage and accelerate all things data related.
- Enterprise Data Preparation
- Enterprise Data Catalog
Data Engineering
Ingest, prepare, and process data pipelines at scale for AI and analytics in the cloud. Data engineers can help data scientists and data analysts by finding the right data and making it available in their environment. Ensure the data is trustworthy and mark sensitive data. Operationalize data pipelines and create efficiencies in data preparation.
- Big Data / Data Engineering Integration
- Big Data Streaming / Data Engineering Streaming
- Big Data Parser
- Edge Data Streaming
Data Security Group
Discover, analyze, and remediate data risk with automated controls. Protect unauthorized access and the disclosure of sensitive, private, and confidential information. Retire legacy systems while retaining reporting access, managing long-term retention, and ensuring compliance. Enable secure and automated provisioning of non-production data sets to meet development and testing needs.
- ILM – Data Archiving
- TDM – Test Data Management
- Data Masking
- Data Security