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The cornerstone of a digital enterprise
Gain a competitive edge in today's fast-paced world of innovation, and meet business objectives effectively through advanced data platforms. We help businesses tackle issues related to data fragmentation, silos, scalability, and inefficient warehousing. With our data modernization solutions, organizations can unify, mobilize, govern, understand their data, and create a single source of truth.
Shift to new-age data platforms
Experience the data value through our data modernization services.
Current state and gap analysisEvaluate current data platform and identify gaps for improvement,
Data platform strategyRoadmap for design, implementation, and execution strategies for new data platform.
Data sourcingIngest data from different sources such as on-premise and cloud, using various connectors.
Centralized data storageEstablish a cost-effective method to retain historical data while ensuring intraday data updates.
Data transformations & business rulesMaintain data consistency and quality to establish a reliable source of information for all business users.
Industry-standard data warehouse modelIndustry-standard models that are readily available to fulfill both operational and analytical requirements
Self-service analytical capabilities and BI reportingSelf-service business intelligence capabilities that empower business users to implement analytics use cases with minimal reliance on data engineers.
Data science use casesEnable data scientists to use AI/ML algorithms for predictive analytics and uncovering hidden patterns in data.
Data managed servicesEnsure that operations run smoothly, and that data is reliable and available in a timely manner.
Key components of data modernization
Utilize advanced integration capabilities to access data without replication. Analyze unified data in real-time, and feed data to downstream applications and BI reporting tools.
Establish data quality metrics, criteria and assessment rules for data completeness, reliability and consistency. Automate testing based on user-defined rules..
Create robust governance policies that encompass people, processes, and technologies to guarantee data reliability, completeness, accountability, and compliance.
Leverage the combination of ML and knowledge graphs to integrate enterprise data and maximize business value. Easy access to quality data for analytics with intelligent integration and data catalogs, engineering, and governance.
Implement a distributed data architecture and decentralized data management that transfers data responsibility to respective domains. Enabling secure, easy, and quick data access.
Merge data lakes and data warehouses, providing inexpensive data storage, minimized data transfer, and access updated data, as well as unified data management and governance.
Consolidate all metadata in one location. Enhance data quality, boost operational efficiency by reducing duplication, and leverage data to make informed decisions.
Our modern data platform strategy
Our Modern Data Platform strategy
- Organizational data (Business activities)
- Internet of Things (IoT)
- Third-Party data sources
- Macroeconomic data
- Social media
- Omnichannel customer touchpoints
- Operational & strategic reporting
- Data science use cases for advance analytics & insights
- Data used by other downstream applications
The differentiating factors
Enhance business flexibility
Accelerate analytics to reduce time-to-market
Boost operational productivity
Improve decision-making capabilities