August 11, 2017

Information Management

Data Management

Our core technical team with shipping industry expertise help shipping industry players in the development and execution of architectures, policies, practices and procedures in order to manage the information lifecycle needs of the business in effective manner.

Our state-of-the-art frameworks, solutions and advisory help business in solving their complex data problems in the areas of integration, storage and analysis. Data focused capabilities are

  • Data Migration
  • Data Modelling and architecture
  • Database Design
  • Data Warehousing and Data Marts design
  • Batch, near and real-time integration
  • Data Replication
  • Data Lifecycle management


Data Warehouse modernization

EportAdvisory leverage on cutting edge technologies to get maximum out of data warehouse and business intelligence investments and helps clients modernize their environments to optimize the business value of those investments. We assist the business with assessing as-is, identifying the gaps and developing a change plan and roadmap that touches upon the three key dimensions, process, people, and technology aspects required to meet business goals.

Our team also assists with the efficient development, implementation, and operations of data integration, data warehousing, and analytics solutions.



We help shipping industry leaders to adopt data driven culture for confident decisions.

We firmly believe that Data-driven organizations are more profitable and productive than their peers. It helps them in staying ahead of their competitors by leveraging predictive analytics to anticipate shifts in the business.

EportAdvisory, with its deep and vast shipping industry experience along with comprehensive expertise in integrating descriptive, diagnostic, predictive, and prescriptive analytics, sets the foundation to transform to a data-driven business and to help them mature over time in successfully leverage all four types of business analytics capabilities in its decision-making processes.


Descriptive: What happened?

Diagnostic: Why did it happen?

Predictive: What is likely to happen?

Prescriptive: What should I do about it?

  • BI tools and user interfaces
  • Predictive analytics
  • BI activity and performance


Data Quality and Governance

Every other organisation faces challenges with regulatory and other business problems today due to the quality of underlying data. There is hidden cost overhead in working with poor quality data and in few cases, it ends up with heavy regulatory penalties. On the other hand, a good quality data brings major benefits, such as better-informed decisions and ability to match increasingly stringent regulations across the geography.

We help organisations in establishing a baseline understanding of maturity with respect to data starting with getting a clear picture of the current state of Data Quality Capability Assessment followed by reporting and remediation. Our state of the art Data Quality framework and solutions makes it easy to implement:

  • Target state definition
  • Gap analysis, roadmap and change plan
  • Data Quality maturity assessment, reporting and remediation
  • Data quality improvement strategy
  • Roadmap for carrying out these initiatives in order to fill the gaps identified earlier.
  • Governance process for implementation of data quality initiatives