Data And Information Management

Corporations collect large amounts of customer, product, transaction, market and social data and it is extremely important to manage, maintain and make sense of the data collected to get actionable insights out of it. Complex hybrid architectures and dynamic infrastructure generate data at a break-neck speed; data that is vast, complex and heterogeneous with hidden insights and valuable references that can enable faster decision making if processes and presented in the right fashion.

Cerebraix’s Data Management services enable companies design, build and support all data-driven processes with varied levels of complexity. We appreciate how a varied mix of strategies & skills is required to ensure that your data is leveraged to deliver maximum value.

We work closely with our client partners to implement Big Data infrastructure and Data Lakes that leverage and extend our clients data assets at the lowest possible cost of ownership.

The growing role of big data and analytics places a certain challenge for enterprises. The exponential growth of information from diverse sources in various formats and quality presents a problem in the management of information and its utilization, and data warehousing itself.
With the increasing number of customer touch-points and a myriad of new sources of business data, data migration from traditional sources, Web Logs (unstructured data) and Data Warehouses to Hadoop clusters. Setting up Data Lakes is necessitated to leverage Data generated from legacy Transactional systems as well as Digital data from social media in real-time or near real-time.
Our experts can help you to:
- Create a reservoir for enterprise, social, and device information.
- Develop a scalable storage, compute, and access data layer.
- Build the agility of absorbing data of any type/scale and processing that data for different business needs.
- Enable data governance and enterprise-wide access controls.
- Reduce the time to access and locate data to accelerate preparation and reuse.
- Convert digital data noise into inspired insights
- Manage you Master Data Management and Data Integration requirements effectively
- Help you build crucial and customized data assets to achieve smarter, faster and effective decision making.
- Data Architecture and Engineering
- Data Quality Management

Data Lakes
The growing role of big data and analytics places a certain challenge for enterprises. The exponential growth of information from diverse sources in various formats and quality presents a problem in the management of information and its utilization, and data warehousing itself.
With the increasing number of customer touch-points and a myriad of new sources of business data, data migration from traditional sources, Web Logs (unstructured data) and Data Warehouses to Hadoop clusters. Setting up Data Lakes is necessitated to leverage Data generated from legacy Transactional systems as well as Digital data from social media in real-time or near real-time.
Our experts can help you to:
- Create a reservoir for enterprise, social, and device information.
- Develop a scalable storage, compute, and access data layer.
- Build the agility of absorbing data of any type/scale and processing that data for different business needs.
- Enable data governance and enterprise-wide access controls.
- Reduce the time to access and locate data to accelerate preparation and reuse.
- Convert digital data noise into inspired insights
- Manage you Master Data Management and Data Integration requirements effectively
- Help you build crucial and customized data assets to achieve smarter, faster and effective decision making.
- Data Architecture and Engineering
- Data Quality Management