Incorporate data from across systems and businesses into a single store ... ready for analysis.
Establish a standardized dictionary of data fields to enable data integrity and common vocabulary across business stakeholders.
Avoid legal hassles with built-in support for internal and external compliance requirements including GDPR and CCPA/HIPPA/PCI.
Use the data store to support ongoing monitoring of the business with KPIs & alerts dashboards.
Design and Strategy Consultation
Architect the right data solutions for your needs
There are a multitude of approaches for building solutions that integrate data from different sources and support fresh business insights. Ensuring a solid foundation and supporting structure for data intelligence enables true data activation, revealing previously obscured insights.
Leverage expert advice to select the right cloud or on-premises architecture incorporating ETL pipelines, data-warehouse/data-mart/data-lake, BI tools, and ongoing governance processes.
Technologies: Microsoft Data Warehouse, ADF, Postgres, AWS Redshift
ETL Pipelines
Enable critical decision-making with clean and fresh data
Building robust data pipelines to continuously stream in clean and standardized data from different sources is a must to support on-demand business intelligence.
Engage experienced data engineers with a wealth of experience building pipelines for cloud or on-prem based deployments.
Technologies: AWS Glue, AWS Data Pipeline, GCP Cloud Data Fusion, GCP Data Prep, GCP Data Transfer service, Azure ADF, Azure Logic App, Azure Dataflows, SSIS, Stitch/Talend, Kafka, Spark, Storm, Scoop
Data lakes and warehouses
Build data repositories rapidly to support essential business functions
Rapidly consolidating data in a single place enables quicker analytics and data insights from copious amounts and varied types of data (relational, logs, JSONs) with thoughtfully designed data lakes, warehouses, or data marts. Realize a lower cost of data capture and storage with a single source of truth for standardized data to support essential business reporting and analysis.
Technologies: AWS Lake Formation, Azure Data Lake, Cloudera/Hortonworks Hadoop Data Lake, Azure Synapse, Redshift, Cosmos DB, Athena, Google Big Query
Data Governance
Control data quality with governance policies and standards
The quality, consistency and security of your data are critical in enabling fresh business insights and data-driven strategies. Contata can help design and implement the processes, procedures, policies and metrics towards an ongoing data-governance practice.
Technologies: Azure Purview, MS MDM, MS DQS, Alteryx, Informatica, Talend
Data Mining and Machine Learning
Drive strategies based on insights and patterns gleaned from your data
Dashboards highlighting KPIs levels and alerts can provide effective ongoing high-level monitoring of your business. Interactive and automated techniques supported on the data repository can help you understand what is going on with your business … and identify root causes or issues.
Contata can help build and deploy BI portals so that users in different departments across your business can access insights related to their domains safely and securely.
Technologies: Power BI, Tableau, Domo, QlikView, Looker, Data Mining, Machine Learning.
Use Cases
Data Deduplication
Standardize, compare and remove or merge duplicate data records for efficient marketing and data analytics.
Automated Pipelines
Fetch data through push or pull mechanisms using APIs or file-transfers. Design and manage data updates through automated triggers.
Data Transformations
Transform data to conform to standardized dictionary … meeting the needs for common vocabulary and compliance.
Data Lakes
Deploy a data lake to house all data … transforming and aggregating them as necessary from your BI system.
Data Marts
Create data marts to provide specific views of the business, complete with predefined and computed performance metrics.
KPIs & Alerts
Define, compute and store performance metrics that are key to monitoring the health of your business.
Cloud Deployment
Utilize the latest in cloud technologies to support fast and scalable data aggregation with a minimal of code build-out.