Building a successful data model is often a step-by-step process. Our data modelers work with key stakeholders in an organization for defining and analysing the data requirements that underpin the key business operations. After this phase, we build a conceptual schema and hold discussions to ascertain the concepts of an organization and the relationship between data. This is then translated into logical data model and subsequently into physical model that organizes data into the required format for easier data management and its analysis.
Our model-driven data services include:
- E-R modeling
- Strategic data modeling
- Dimensional modeling
- Business modeling
Organizations spend too much time gathering and preparing their data, which in turn lengthens the time-to-insights for critical decision making. We follow a three-pronged strategy -- Analyze, Measure and Improve -- to study your data and current data management processes, identify technological flaws associated with current analytics solution, bring to light counterproductive workflows, and formulate analytics solutions to transform data for improving the pace of your decision making processes and optimizing your business processes.
We help organizations in:
- Technology Audit
- Assessment of current data management environment
- Executive Training to sync workforce with new big data technology
- Building roadmap for data management and predictive analytics solution
Any data - be it structured or unstructured - have a unique set of attributes, metadata, structure, and schema associated with it. Integrating such data from disparate systems add complexity to data integration projects. Moreover, multiple interfaces between applications also create inconsistencies and duplications. With our data integration services that cover seamless real-time data migration, transformation, mapping, synchronization, and data management, we help organizations get a unified view of data without disrupting their critical business processes.
Our services cover
- Data Import and Export
- Data Replication
- Master data management
- Data synchronization
- Data governance
Organizations are flooded with data - from multiple internal and external sources - which play a vital role in maximizing the revenue, minimizing the cost, improving
the customer satisfaction and mitigating the risk. It is vital for organizations to share, store, secure and retrieve the data most optimally.
Our Enterprise Data Management service enables organizations to manage the end-to-end processes in data transformation from data acquisition, data storage to information delivery.
Some of the key data management offerings are:
- Data Migration
- Data Quality
- Data Modelling
- Data Cleansing & ETL
- Data Maintenance & Meta Data Management
Today's data-driven business demands cannot be met by traditional big data architectures that seamlessly move data from production systems to data warehouses. Only a well-planned data architecture schema can help in realizing improved profits and lowering risks from an otherwise opaque data. Our data scientists assess the data type, frequency, size, processing methodology, data source, and hardware requirements to create a unified information architecture that supports your line of business. Our big data architecture covers:
- Data consolidation and integration
- Process mapping and automation
- Quality of service protection to preserve data quality and compliance